Soil Physics, Erosion and Conservation
Bahareh Kiani; Farshad Kiani; Azam Rezaee; Pouneh Ebrahimi; Samaneh Mahzari
Abstract
Introduction: Different strategies have been proposed to sustainable soil management, including conservation agriculture. Conservation agriculture is based on four principles. Reducing plowing and soil disturbance, leaving an appropriate amount of plant residues on the soil surface, crop rotation with ...
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Introduction: Different strategies have been proposed to sustainable soil management, including conservation agriculture. Conservation agriculture is based on four principles. Reducing plowing and soil disturbance, leaving an appropriate amount of plant residues on the soil surface, crop rotation with an economic cultivation pattern, and sustainable production of agricultural products with benefits are the basis of these four principles. The economic benefits of conservation agriculture and tillage in the early years have challenges in terms of implementation. There are few studies on the impact of the initial phase of conservation agriculture on soil nutrients and its consequences, so this study aims at the impact of Various protection management on some soil quality indicators during the initial years of implementation. Recently, farmers in Golestan province have been following the conservation agriculture in their fields without implementing a standard method and uniform instructions. Therefore, different results are obtained by implementing conservation tillage methods. In general, the economic benefits of conservation agriculture in the first year of its implementation are very controversial, and farmers think that the implementation of conservation agriculture may not be profitable due to the high consumption of herbicides and low yield, especially in the early years of its implementation.Methods and Materials: This study was conducted in Nokandeh region of Golestan province in the form of a randomized complete block experiment in three types of management including optional(minimum) tillage (MT), Conservation agriculture (CA) and conventional tillage (CT) and in 4 years. In each management, 30 soil samples were selected from the depth of 0 to 20 cm and the indicators were evaluated. Soil pH, Texture, Electrical Conductivity, Total Neutralizing Value (TNV), Soil Carbon, Total Nitrogen, Available Phosphorus and Potassium, and soil micronutrients contain Fe, Mn and Zn were evaluated using scientific methods. Data normality was also tested using the Kolmogorov-Smirnov test. The difference between the means has been calculated using Duncan's test at the confidence level of 0.01 and 0.05. SAS ver 9.4 software was used to analyze the data.Results and Discussion: he results show that the effect of tillage management on pH changes is not significant, while the effect of time on pH changes is significant at the one percent level (p ≤ 0.01). The pH in no-till in the fourth year was (7.64) and minimum tillage (7.62) and conventional tillage (7.4). The lowest pH value was in conventional tillage treatment, which decreased by 3.6 percent compared to the first year. The main decrease in electrical conductivity was observed in no-till, with a 32% decrease in soil electrical conductivity in the fourth year compared to the first year, and the minimum changes were observed in conventional tillage. The amount of organic soil in conservation agriculture and then OC was observed to increase by 47% and 17%, respectively, compared to the first year. The implementation of conservation management in different years was not significant on the amount of TNV, but the percentage of the amount of TNV was observed in tillage managements, CT > CA > CT respectively. The amount of total nitrogen has increased in MT and CA, which means a decrease in nitrogen leaching in four years. Conservation agriculture in the fourth year can increase the amount of available phosphorus in the soil by 47% compared to the first year, and the potassium element has increased by 58% in CA and 52% in MT, while the potassium content has increased by 6%. The elements of iron and zinc in MT and the amount of manganese in CA were higher. The results of the present study showed that the most important management factors affecting the initial years are the amount of soil organic matter. Soil nutrients are sensitive indicators of fertility. Changes in soil nutrients increase with a gentle slope in the initial years. And this trend is sometimes accompanied by uncertainties. There are significant aspects of water, plant, and soil interactions in nutrient cycling, etc., that are still unknown.Conclusion: The results of this study showed that although low tillage and no-till treatments improve soil nutritional and fertility indices compared to conventional tillage, the trend of changes in these indices over time is different, which may discourage farmers and promoters in the early years of implementation. Considering that different results have been obtained in this research, it seems that to achieve better and visible results by farmers, sufficient time is needed for implementation. These findings provide a practical perspective to farmers, promoters and managers to realistically pay attention to the achievements in the early years of implementation. It is suggested that in the initial years of implementation in farms with greater fragility and uncertainty, government support should be provided to reach the final sustainability of the plan.
Soil Physics, Erosion and Conservation
Mitra Yarahmadi; Ataallah Khademalrasoul; hadi Amerikhah
Abstract
Introduction: Soil erosion is the most prevailing form of soil degradation which is really play an important role on the mass balance index of soil particles in the watersheds. Moreover, regarding the on-site and off-site effects of erosion essentially has to measure and predict the soil loss using different ...
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Introduction: Soil erosion is the most prevailing form of soil degradation which is really play an important role on the mass balance index of soil particles in the watersheds. Moreover, regarding the on-site and off-site effects of erosion essentially has to measure and predict the soil loss using different methods. Specifically gully erosion is a form of water erosion with the huge amount of soil dislodgement. Due to the complexity and variability of soil erosion it is necessary to apply different techniques in order to monitor the soil erosion changes. Remote sensing technology and the use of spectrometry and reflectometry basics is a suitable solution and option for monitoring coastal areas affected by erosion and deposition events, which provide high quality temporal and spatial data. Soil color is an appearance property which is meaningfully effective on soil reflectance. Generally, soils with high amount of organic matter has low reflectance because of the darkness while the light soils has high reflectance from surface (high Brightness index, BI) which is effective on soil temperature. Therefore we try to use RS and radio spectrophotometry to find a relation between soil color and its reflectance. Materials and Methods: The study area is located at Zahirieh watershed of Khuzestan province which is between Ahvaz and Masjedsoleyman cities with approximately 7100ha area. The average of rainfall is 218.6mm, the maximum temperature is 54 and the minimum is 7 degrees. Regarding the separation of erosional and depositional surfaces in the study area; first, using the visual inspection of Landsat satellite false color images, 8 regions were divided into several regions, then random sampling points were created using the random point generator tool in ArcGIS 10.4 software to implement the random sampling method within the block. Finally, 12 sampling points representing erosion surfaces and 14 sampling points representing depositional surfaces were selected and sampled to determine surface soil characteristics. Surface soil color was determined using Mansell's color book in natural daylight in two dry and moist conditions. After collecting the soil samples in air-dry moisture condition and also in wet condition, their spectroscopic analysis was done by FieldSpec3 device and this moisture condition was considered for all the soil samples of eroded and depositional surfaces. Statistical analyzes and mean comparisons were performed using SPSS 26 statistical software. Corrections of satellite images and transformations were made in ENVI 4.7 software, and visual outputs and maps were made in ArcGIS 10.4 software.Results and Discussion: Results depicted that among the evaluated soil color indicators, the dry weight parameter is significant at the level of 1%. This level of significance shows well that the Value index in the dry state can be used as an effective parameter to identify and separate erosion and deposition levels in the study area. There is a difference between the values of the statistics for red, green and blue RGB in the dry state for erosion and depositional surfaces, and these differences are also evident for the moist state. In the depositional surfaces, with the drying of the soil, blue, red, and green reflections all decrease, but this decrease is double and about six times for blue. The reduction of blue reflections in the RGB system leads to an increase in the yellowness of the color. In the case of the soils of erosion surfaces, we can see the pattern of the photo and we see the enhancement of reflections and consequently the lightening of the color of the soil when the soil is dry. According to what has been seen in the Munsell system, it seems that this issue has a direct relationship with the amount of organic matter and the ratio of fulvic acid to humic acid in the organic matter of the soil. Moreover, the results of the comparison of the average bands of Landsat 8 shows that bands 2, 3 and 4 are able to separate erosion and sedimentary surfaces at the 1% level, but thermal bands cannot be used to separate surfaces. Due to the difference in the color characteristics of erosional and sedimentary surfaces, as a result, it is possible to separate them based on reflectometric characteristics, and it is possible to separate eroded and sedimentary surfaces by using color indices.Conclusion: Due to the difference in the color characteristics of erosional and depositional surfaces, as a result, it is possible to separate them based on reflectometric characteristics, and it is possible to separate eroded and depositional surfaces by using color indices. The results showed that it was possible to model surface soil characteristics using quantified surface soil color data, and this hypothesis was confirmed by statistical investigations.
Soil Physics, Erosion and Conservation
Soheila Alioghli; Mahmoud Shabanpour; Hosein Ali Bahrami
Abstract
Introduction: Rapid global industrial development has led to a significant increase in the risk of environmental contamination with heavy metals. Soil contamination with heavy metals is a challenge due to the risks associated with human health and the environment, as well as soil-related food security. ...
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Introduction: Rapid global industrial development has led to a significant increase in the risk of environmental contamination with heavy metals. Soil contamination with heavy metals is a challenge due to the risks associated with human health and the environment, as well as soil-related food security. It is considered universal. Soil moisture, as one of the influencing parameters on soil spectral reflectance and its high spatio-temporal variability, is considered the most important confounding factor in using Visible and Near Infrared Reflectance Spectroscopy (VNIRS) techniques to estimate soil heavy metals. . In this study, the ability of the external parameter orthogonal (EPO) algorithm to reduce the effect of moisture on soil spectral reflectance was evaluated to improve the performance of machine learning methods for heavy metal estimation.Materials and Methods: In the present study, a modeling approach based on spectral information obtained from VNIRS technique is used to investigate the effect of soil moisture on the estimation of heavy metal concentration (nickel and lead). Soil samples were obtained from areas suspected of heavy metal contamination. For this purpose, 129 soil samples were collected from fields contaminated with heavy metals in Tehran, Gilan and East Azerbaijan provinces. Nickel and lead concentrations in air-dried and sieved soil samples were measured in the laboratory using the ISO 11466 method. Then the soil samples were coded and transferred to the dark room for spectroscopy. Spectral reflectance of soil samples at 7 moisture levels (air-dried, 6, 12, 18, 24, 30 and 36%) using a FieldSpec-3 spectrometer and a contact probe in the spectral range of 350-2500 nm in a room Darkness was measured. After applying the necessary pre-processing, the soft and de-noised spectra related to the soil samples were randomly separated into two sets of data sets for modeling and validation. EPO using a set of calibration samples was developed. To estimate heavy metals, machine learning algorithms including PLSR and SVR were used.Results and Discussion: The results indicate that with the increase in soil moisture, the spectral reflectance in the entire range of 2450-400 nm decreases non-linearly. This means that the amount of reduction in different wavelengths is not the same. The greatest reduction occurs in the range of absorption peaks located in the range of wavelengths of 1600-1400 nm and 1850-2000 nm. VNIR spectroscopy has a high ability to estimate nickel and lead heavy metals in dry soil. The presence of moisture in the soil, even at the level of 6%, leads to a significant decrease in the ability of this technology to accurately estimate heavy metals in the soil. At humidity greater than 24%, both machine learning models evaluated for both heavy metals are in the medium class.Conclusion: In a general conclusion, it can be stated that the use of EPO algorithm significantly improves the ability of machine learning methods in the estimation of heavy metals in soil in the presence of moisture in soil samples. In general, SVR algorithm has the best performance compared to PLSR methods for modeling soil heavy metals. On the other hand, VNIR reflectance spectrum information provides more capability in estimating nickel than lead.In this study, the ability of the EPO method was evaluated in order to minimize the effect of soil moisture disturbing parameters on the ability of VNIR spectroscopy to improve the accuracy of soil heavy metal concentration modeling including nickel and lead based on PLSR and SVR machine learning methods. The results indicate that with the increase in soil moisture, the spectral reflectance in the entire range of 2450-400 nm decreases non-linearly. This means that the amount of reduction in different wavelengths is not the same. The greatest decrease occurs in the range of absorption peaks located in the wavelength range of 1600-1400 nm and 1850-2000 nm. VNIR spectroscopy has a high ability to estimate nickel and lead heavy metals in dry soil. The presence of moisture in the soil, even at the level of 6%, leads to a significant decrease in the ability of this technology to accurately estimate heavy metals in the soil. At humidity greater than 24%, both machine learning models are evaluated for both heavy metals in the medium class. Using the EPO algorithm significantly improves the ability of machine learning methods to estimate heavy metals in soil in the presence of moisture in soil samples. In general, SVR algorithm has the best performance compared to PLSR methods for modeling soil heavy metals. On the other hand, the information of VNIR reflectance spectrum offers more capability in estimating nickel than lead.
Soil Physics, Erosion and Conservation
lida piri moghadam; farhad khormali; hamed rezaei; Farshad Kiani
Abstract
Introduction: loess are a special type of silty soil with a porous structure and poor cohesion, and often contain silt with minor amounts of clay to fine sand . These characteristics make loess among the problematic soils in terms of engineering geology. problematic soils are observed in different parts ...
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Introduction: loess are a special type of silty soil with a porous structure and poor cohesion, and often contain silt with minor amounts of clay to fine sand . These characteristics make loess among the problematic soils in terms of engineering geology. problematic soils are observed in different parts of the world including Australia, Brazil, New Zealand, the United States and many areas of Iran. Some fine-grained soils are structurally unstable, that is, they are easily dispersed and are highly erodible. Hence, presence of such soils in engineering and Agricultural projects can cause great damage and financial loss. One of the most important influencing factors in the vulnerability of loess soils is the dispersion phenomenon. Dispersion or colloidal erosion is a physical-chemical process that often occurs in fine-grained soils containing clay particles. In general, dispersion phenomena occur when the shear stress induced by the flow exceeds the friction among particles, causing surface abrasion. Erosion can extend itself along a drying crack, settlement, hydraulic fracture, or other high permeability channels in a soil mass. Dispersive loess soil easily and quickly separates and disperses from each other in water with low salt concentration without any special mechanical stimulation. Climate and physicochemical characteristics are two important factors in soil dispersive. which affect the degree of soil dispersive. Climate affects soil development by influencing physicochemical characteristics. On the other hand, soil texture, clay content, porosity and Bulk density, pH and solubility of salts in soil are closely related to dispersive. Although, extensive researches carried out to determine the dispersion potential of the soils, affecting factors on dispersion phenomenon and validation of the soil dispersion tests, no comprehensive studies have been performed on The effect of climatic characteristics loess soils in golestan province. Therefore, the aim of this research is to investigate the effect of climate and physicochemical characteristics on soil dispersive.Materials and Methods: This research was focused on loess soils of Golestan province. seven pedons were selected, sampled and described in different parts of the province. Climatic data was prepared and physicochemical and dispersive analyzes were performed on soil samples. The values of pH, electrical conductivity, equivalent calcium carbonate, cation exchange capacity and bulk density were measured. In order to study the degree of divergence, Sherrard's chemical test and pinhole test were performed.Results and Discussion: By investigating the amount of rainfall in different regions of the province, it was found that the loess soils of Golestan province are not in the same climatic conditions. The results showed that the climatic and physicochemical characteristics of the soils in interaction with each other had a significant effect on the evolution of the soil and the reduction of divergence in the studied soils. The highest amount of precipitation was in Ramyan and Minodasht region And these two regions had greater depth of soil and heavier texture than other pedons. The results of the pinhole test show these soils with intermadiate dispersion potential. While the results of the chemical test for most of the samples are non dispersive. According to the results obtained from the pinhole test, Minodasht and Sufian pedons with rainfall of 815.8 and 608.9 mm were completely non-divergent, and Hoten pedon with Aridic moisture regime and rainfall of 189.7 mm had the highest dispersion potential. In total, 30% of the horizons showed moderate dispersion. which were mostly in the Aridic moisture regime. The chemical test in this research also confirmed the presence of a small amount of sodium ion in the saturated soil extract, and only three horizons had the potential of chemical divergence based on the SAR level. From the results, it can be analyzed that the soil dispersion in this research is due to the physical nature of soil particles.Conclusion: The review of climatic data and the results of physico-chemical tests showed the existence of direct coordination between the climatic and physico-chemical properties of the soil. So that with the increase of rainfall, the soil formation process increased. This means that in soils with xeric regime and high rainfall, the percentage of clay, organic matter, porosity and water retention in the soil has increased. As a result, the dispersion potential in these soils has decreased. Keywords: Loess soils, Dispersive soil, Physicochemical dispersion, Pinhole test.
Soil Physics, Erosion and Conservation
Heidar Ghafari; Hadi Ameri khah
Abstract
Introduction: The processes of soil erosion and sediment transport along rivers are the main causes of some socio-economic and environmental problems, such as a reduction in water quality, storage capacity of dams, destruction of aquatic habitats, failure of hydroelectric power plants, and soil degradation. ...
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Introduction: The processes of soil erosion and sediment transport along rivers are the main causes of some socio-economic and environmental problems, such as a reduction in water quality, storage capacity of dams, destruction of aquatic habitats, failure of hydroelectric power plants, and soil degradation. Therefore, understanding the sedimentation status of watersheds is crucial for the effective management of soil and water resources. However, due to the lack of technical and human resources, continuous recording of sediment data is not possible in most sediment measuring stations, and sediment data are recorded only for a few days. In such a situation, a model that can estimate the amount of sediment load using auxiliary variables such as stream discharge and rainfall becomes crucial. Today, it is believed that techniques based on artificial intelligence have a much greater ability to uncover hidden relationships between variables than classical methods and are thus very useful and effective in modeling natural processes.Materials and Methods: In this study, various machine learning techniques, including Artificial Neural Network (ANN), Adaptive Fuzzy-Neural Inference System (ANFIS), and Random Forest (RF), were used for sediment load modeling and sediment forecast for days without measurements. To achieve the research objectives, long-term meteorological and hydrometric data ranging from 2000 to 2020 were collected from related organizations and pre-processed before entering the model. The input variables for the models included 24-hour rainfall, flow rate, normalized difference vegetation index, maximum and minimum temperature, and daily suspended sediment as the dependent variable. Prior to modeling, the entire dataset was divided into two parts, training and testing, in a 70:30 ratio. Relationship modeling was performed using the training data, and model validation was conducted using the test dataset. The efficiency of the models was evaluated using two indicators, the coefficient of explanation (R2) and the root mean square error (RMSE). Additionally, morphometric parameters such as form factor (FF), drainage density (DF) coefficient, and relief ratio (RR) were utilized in modeling.Results and Dscussion: The hydrological analysis of the basin revealed that the highest annual amount of rainfall and erosivity index were recorded at the Sheyvand station in the east of the basin, while the lowest values were observed at the Ramhormoz station. The highest average monthly flow rate of 5.8 cubic meters per second was obtained at the Manjeniq station in April, and at the Mashin station, the highest average monthly flow rate of 8.8 cubic meters per second was recorded in December and January. Morphometrically, the studied basin belonged to the class of elongated basins, sloping basins in terms of relief, and the medium class in terms of drainage density. Analysis of the time series of NDVI index showed that the highest vegetation cover occurred in March, while the lowest values were recorded in September and October. The annual trend of the vegetation index indicated an overall improvement in vegetation cover in the region from 2000 to 2020, with the NDVI value increasing from 0.15 to 0.22.Among the different machine learning techniques studied, the Artificial Neural Network (ANN) model had the highest coefficient of explanation (R2=0.87) and the lowest RMSE for both sediment measuring stations in the region, making it the best model. The optimal inputs for the neural network model at Mashin station were daily average flow adjusted by the basin shape factor, daily rainfall, last day's rainfall, daily minimum temperature and daily maximum temperature. For the Manjeniq station, the optimal inputs were daily average flow, daily rainfall, last day's rainfall, cumulative rainfall for the past two days, and cumulative rainfall for the past three days. The NDVI index was removed from the model due to its low significance. The Random Forest (RF) model ranked second, and the Adaptive Fuzzy-Neural Inference System (ANFIS) model ranked third, with weak performance, especially for the Mashin station, where out-of-range errors occurred.Temporal analysis of sediment values showed that the highest sediment production occurred in December and January for Mashin station and in April for Manjeniq station. The highest production of sediment occurred in 2006 and 2002, and the trend of changes from 2011 to 2018 showed a decline, attributed to consecutive droughts and lack of rainfall. The annual average sediment production calculated using the values estimated with the neural network model was 88017 tons, equivalent to 1 ton per hectare per year. Conclusion: Overall, this research demonstrated that machine learning methods, especially the neural network model, are highly effective for modeling and predicting sediment on a daily scale. These methods can compensate for the lack of sediment measuring facilities and equipment in most existing hydrometric stations in the country and eliminate the need for continuous sediment data and other water quality parameters.
Soil Physics, Erosion and Conservation
Vajiheh Dorostkar; Zahra Ganji Norouzi; Safoora Nahidan
Abstract
Introduction Conservation and improvement the soil structural stability play a key role in soil management in agro ecosystems especially in arid and semiarid region with high erosion potential. Soil structure is an important soil physical property and has many effects on other soil physical, chemical ...
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Introduction Conservation and improvement the soil structural stability play a key role in soil management in agro ecosystems especially in arid and semiarid region with high erosion potential. Soil structure is an important soil physical property and has many effects on other soil physical, chemical and biological behaviors such as retention and movement of water, nutrients and pollutions, soil hydraulic and mechanical properties, soil aeration and erosivity. Wetting and drying cycles are one of important environmental factor affecting soil structural stability. Previous studies showed inconsistent results about the positive or negative effects of wetting and drying cycles on soil stability. This study was conducted to investigate the effect of wetting and drying cycles on the soil structural stability in the presence of safflower residues. Materials and Methods The agricultural soil was collected from the soil surface layer (0–20 cm) of Shahrood in Semnan province and passed through a 4 mm sieve. An experiment was conducted including two treatments i.e. number of wetting and drying cycles (0, 1, 2, 4, 8 and 10 cycle) and amount of safflower residues (0, 1 and 2 g 100 g-1 soil ). Plant residues were collected from safflower fields and after drying, milled and passed through a 1 mm sieve. Then crop residues were mixed into soil. The wet and dry cycles were applied during 2 month. In wetting periods the soil was kept in filed capacity and in dry periods the soil was kept in electrical oven in 40°C. The soil organic carbon and soil diluted acid carbohydrate concentration were measured at the end of the experiment. The soil structural stability was measured using high energy moisture curve. The soil drainable pores, soil suction at inflection point, stability index, stability ratio and Dexter's S index were calculated.Results and Discussion The greatest soil organic carbon was observed in control treatment (0 wet and dry cycle) and then it was decreased by increment of cycles in all crop residues levels. These cycles improve the microbial activity during the rewetting process and increase decomposition of crop residues. The soil organic carbon and diluted acid carbohydrate were highest in treatments including 2 g residues 100g-1 in all studied wet and dry cycles. The greatest soil drainable pore volume and the lowest soil suction at inflection point were found in treatment including 4 wet and dry cycles. The results showed that 2 and 4 cycles increased the soil drainable pore volume by 58 and 106 % compared to the control treatment (no applied cycle). More increment of wet and dry cycles decreased the soil drainable pore volume and this factor was declined by 40 % in 10 cycles treatment compared to 4 cycles. It means that wet and dry cycles can improved the soil structure because of rearrangement of soil particles and improvement of soil particle contact points. However, the high number of wet and dry cycles destructed the aggregate and decreased their stability. In addition, the physical protection of soil aggregates from soil organic matters declined through aggregate breakdown. This phenomenon provided fresh organic matter for decomposers and consequently the aggregate stability decreased. Appling only one wet and dry cycle could not significantly improve the stability ratio. This ratio improved considerably when 2 and 4 cycles were used. Following the aggregate breakdown in treatments including more than 4 cycles, the stability ratio decreased in all crop residue levels. Our results showed that the greatest and the lowest volume of coarse and medium pore were observed in 4 and 10 wet and dry cycles treatments but the greatest and the lowest volume of fine pores were observed in 10 and 4 wet and dry cycles treatments. It means that the structural stability improvement during 0-4 cycle changed the pore distribution and made larger pores but the aggregate breakdown with more than 4 cycles changed the pore volume again and increased the portion of finer pores. Conclusion Our results showed that the low number of these cycles can improve the soil aggregation and aggregate stability but the high number of these cycles has negative effect on aggregate stability. However, the presence of organic matter in soil can decreased the negative effect of wet and dry cycles. These results confirmed the importance of incorporating crop residues in to the soils after crop harvest.
Soil Physics, Erosion and Conservation
Sahar Akhavan; Soheila Ebrahimi; Maryam Navabian; Mahmoud Shabanpour; Alireza Movahedi; Ali Mojtahedi
Abstract
Introduction Soil macropores are the prominent factor in the transfer of wastewater, fertilizers, and microorganisms, including fecal bacteria to deeper soils and even underground waters. On the other hand, a vast majority of land in Iran is located in arid and semi-arid regions. Therefore, the use of ...
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Introduction Soil macropores are the prominent factor in the transfer of wastewater, fertilizers, and microorganisms, including fecal bacteria to deeper soils and even underground waters. On the other hand, a vast majority of land in Iran is located in arid and semi-arid regions. Therefore, the use of salty and unconventional waters has recently gained considerable importance. The aim of this study is to investigate the preferential transportation and storage of Escherichia coli (as an important bacterium in commonly used fertilizers) under the condition of saline water application. Materials and methods The laboratory studies were conducted in a preferential flow system with artificial macropores with different diameters (1 and 2 cm) and varying salinity treatments (1, 2 and 4 dsm-1) under a saturated flow condition. The leaching test was performed at 20°C within several phases. Microbial transfer tests were carried out in two phases with boundary conditions and flow velocities similar to the zero-phase condition. In order to evaluate the bacteria in the soil profile, after the end of the bacterial transfer test, the soil column was divided and cut into 3 layers. Two samples were collected from 3 depths and at macropore and matrix zones. The experiment was conducted in a factorial format and completely randomized design with three replications. The results showed that the mutual effect of salinity and macropore diameter was significant (at 5%) on mean output concentration (Cav), soil filtration coefficient (fλ), relative absorption index (SR), and maximal predicted depth of bacteria transfer (Zmax). Results The results indicated that the bacteria were affected by the treatments during the transfer, so that with increasing the salinity and reducing the diameter of macropores, the average bacterial concentration output decreased. The presence of macropores and the integrity of pores in a column with a diameter of 2 cm accelerated the bacterial movement and increased the pollutant outflow index due to high porosity; therefore, more bacteria passed (compared to the control column without macropores). The salinity treatment, however, served as an inhibitor and hindered further transmission of bacteria. Moreover, The macropore-free column with a salinity of 4 dsm-1 exhibited a higher refining coefficient (0.85 cfuml-1) compared to other treatments. A salinity treatment involving a 1 dsm-1 salinity and a pore diameter of 2 cm showed the least filtration coefficient (0.82 cfuml-1), so by doubling the ionic strength, 30% reduction can be seen in the bacterial filtration coefficient. Increasing the salinity up to 2 dsm-1 and decreasing the macropores diameter increased the relative absorption index. The macropore-free treatment with a 2 dsm-1 salinity showed the highest relative sorption index (0.92). Although the bacterial growth and mortality are unknown during the bacterial transfer process, according to the results, it is expected that the bacterial mortality rate increases by the salinity enhancement from 2 to 4 dsm-1 and the relative adsorption index reduction which may result in lower surface sorption. The significant treatment for the maximum predicted depth of bacterial transfer was the mutual effect of salinity and diameter at a probability level of 5%, which confirmed the significant impact of salinity on the bacterial filtration and transfer. The maximum depth of predicted bacterial transfer was obtained in the macropore-free treatment with the salinity of 1 dsm-1 (16.81 cm). The role of the underlying layers in the bacterial refinery seems to be more profound compared to the surface layer. Conclusion Overall, the results showed that the main source of transmission of bacteria is the preferential flow due to the macropore continuity. However, the salinity reduced the amount of bacterial refining by increasing the ionic strength of the soil solution. The salinity had a significant effect on the average output bacterial concentration, bacterial refining coefficient, relative sorption index, and maximum predicted bacterial transmission depth. The results of this study revealed that increased ionic strength of soil solution can enhance the bacterial refining and the further elimination of bacteria which can be effective in controlling the pollution of underground water by saline irrigation management. Regarding the quantitatively and qualitatively critical water status in the country, conditions can be provided for the use of unconventional water sources, without threatening the environment and contaminating the underground water.
Soil Physics, Erosion and Conservation
Ruhollah Rezaei Arshad; M Mahmudabadi; Mohammad Hady Farpoor; Majid Fekri
Abstract
Introduction Under natural conditions, intensive and erosive storms commonly associate with high-speed winds. In fact, wind velocity affects water erosion rate through enforcing falling drops and enhancing rainfall erosivity. Therefore, knowledge of interaction between wind and rain as erosive agents ...
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Introduction Under natural conditions, intensive and erosive storms commonly associate with high-speed winds. In fact, wind velocity affects water erosion rate through enforcing falling drops and enhancing rainfall erosivity. Therefore, knowledge of interaction between wind and rain as erosive agents on interrill erosion is of prime importance. However, no comprehensive study has been done on this topic under controlled laboratory conditions. This study was conducted to investigate interrill erosion affected by different rain intensities and wind velocities on several soils with different aggregate size distributions using the Simultaneous Wind-Rainfall-Runoff Simulator (SWRRS). For this purpose, a multisystem was constructed for the first time in Iran to investigate the simultaneous effects of wind and rain erosivity agents on soil erosion under laboratory conditions. Materials and Methods The simulator was calibrated in two cases. First, the intensity and uniformity of the simulated rains were assessed for each nozzle, separately. Second, the calibration procedure was performed for different combinations of the selected nozzles to achieve the best performance. For each case, different water pressures were generated to introduce several water discharges and make initial raindrop velocities. Afterwards, the interrill erosion experiment was done using four constant wind speeds including 0, 6, 9 and 12 m s-1at the height of 40 cm which were applied in combination with three rain intensities of 30, 50 and 75 mm h-1 on three soil samples with different aggregate size distributions (D2mm, D4.75mm and D8mm). Each treatment was conducted at three replicates under laboratory controlled conditions. By using different wind speeds, rain intensities and soil aggregate sizes, interrill erosion rate was measured under steady state conditions. Results and Discussion Results showed that wind velocity has a significant effect on interrill erosion rate and the interaction between wind and rain on interrill erosion was significant, as well. Although, there was no significant difference between the erosion rate at wind velocity of 0 and 6 m s-1, the wind velocity of 9 and 12 m s-1 showed significant difference with and higher erosion rates than the velocity of 6 m s-1. The mean erosion rate at wind velocities of 0, 6, 9, 12 m s-1 was 0.43 × 10-4, 0.54 × 10-4, 0.97 × 10-4 and 1.46 × 10-4 kg m-2 s-1, respectively. With increasing rain intensity from 30 to 75 mm h-1, the erosion rate increased from 0.52 × 10-4 to 1.16 × 10-4 kg m-2 s-1. On average, the erosion rate of the soil containing larges aggregates i.e. D8mm (0.73 × 10-4 kg m-2 s-1) was less than that with the finest aggregates i.e. D2mm (0.99 × 10-4 kg m-2 s-1). The findings of this study highlighted the importance and necessity of more attention to wind speed particularly those velocities faster than a threshold velocity in the study of interrill erosion. Conclusion In arid and semi-arid regions such as most parts of Iran, rainstorms are usually accompanied by strong winds. Despite the undeniable influence of wind on the erosive power of rain, a host of research has investigated water and wind erosion processes, separately. Therefore, this study was done to investigate the simultaneous effect of wind velocity and rain intensity on interrill erosion rate in three soil samples. The results indicated that wind velocity has a remarkable influence on interrill erosion rate due to wind-driven rain. Wind velocities faster than 6 m s-1 increased interrill soil erosion rate, particularly those combined with higher rain intensities. This is due to an increase in the velocity of falling raindrops on the soil surface which results in greater kinetic energy. Also, the findings showed that the soil containing coarser aggregates due to greater random roughness exhibited less sensitivity and interrill erosion rates as compared with the soil having finer aggregates, especially at faster wind velocities. The rate of interrill erosion in soil D2mm was 1.35 times higher than soil D8mm indicating the importance of random roughness. In addition, there was no significant difference between the measured erosion rates at wind speeds of 0 and 6 m s-1, in all cases. However, with increasing wind speed from 6 to 9 and also to 12 m s-1, significant increases in soil erosion rates were observed. Accordingly, a threshold wind velocity can be considered in wind-driven interrill erosion. The findings of the present study can be applied for better understanding and modeling of water and wind erosion mechanisms and dominant processes.
Soil Physics, Erosion and Conservation
Hossein Kheirabadi; Vahidreza Jalali; Hormozd Naghavi
Abstract
Introduction: The trap efficiency of sediment catcher plays an important role in the study of wind erosion and its measurements. The sediment trap efficiency generally varies with particle size distribution and wind velocity. Worldwide, wind tunnel facility has been used by many researchers to determine ...
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Introduction: The trap efficiency of sediment catcher plays an important role in the study of wind erosion and its measurements. The sediment trap efficiency generally varies with particle size distribution and wind velocity. Worldwide, wind tunnel facility has been used by many researchers to determine the efficiency of sediment samplers designed for the measurement of the deposition of Aeolian dust. Therefore, this study was conducted to investigate the efficiency of BSNE sampler, the transportability of sediment particles per wind velocity, using wind tunnel facility under laboratory conditions. In addition, a new parameter by which sediment transportability can be quantified was introduced. Materials and Methods: The wind tunnel experiments were carried out in an open circulation wind tunnel at the Soil Erosion and Conservation Laboratory, Shahid Bahonar University of Kerman, Iran. The wind tunnel consists of three sections including 1) wind generator section for producing different wind velocities, 2) test area section in which soil sample is placed and 3) sediment collector section. The wind tunnel has a uniform cross section with width and height of 80 cm by 80 cm and a total length of 12 m, with a working section of 7 m in length. The wind velocity can be varied continuously from 1 to 30 m s-1 at 40 cm height equal to 175 km/h at 10 m height. The soil used for the experiments is taken from the surface layer (0-20 cm depth) of a cultivated land from Kerman province (30 14 N and 57 06 E). The soil sample at first was air-dried, thoroughly mixed and then crushed to pass separately through 2, 4.75 and 8 mm sieve sizes in order to prepare three subsamples with different max size of 2 (D2mm), 4.75 (D4.75mm), 8 (D8mm) mm. Experiments were done as factorial based on completely random design with three replications. The factors were the height of sampler, wind velocity and soil aggregate size. Three wind velocities of 6, 10, 14 m s-1 at 40 cm height were introduced over the leveled soil surface with 7 m length and the sediment was collected using BSNE sampler at different heights of 10, 30, 50 and 70 cm at the outlet of the wind tunnel. Also, the total mass of soil loss was measured by differential weighing method for each erosion event. Results and Discussion: Results showed that the sediment flux decreased with increasing height at different wind velocities and was quantified using an exponential function, satisfactorily. The sediment transport rate near soil surface for soils D2mm, D4.75mm and D8mm ranged from 0.28 to 2.11, 0.19 to 1.06 and 0.23 to 0.65 g cm-2 min-1, respectively. This implies the soil having coarser aggregates exhibits less erodibility. Moreover, sediment flux at all heights was increased with increasing wind velocity, whereas it was reduced as soil surface roughness increased. In general, the efficiencies of the BSNE samplers varied from 53.2% to 82.1%, depending on soil aggregate size and wind velocity. The efficiency of BSNE obtained for D2mm, D4.75mm and D8mm, at wind velocity of 6 m s-1 was 61.4, 53.2 and 77.5%, at wind velocity of 10 m s-1 was 56.5, 78.7, 69.5% and at wind velocity of 14 m s-1 was 62.4, 79.1, 82.1%, respectively. Also, the results indicated that the transportability of sediment particles per wind velocity decreased with height, which was described through an exponential function. Overall, the particles in the size range of 125 to 500 micron exhibited the maximum selectivity and frequency in the sediments collected at 10 and 30 cm heights. The finding of this study revealed the high importance of vertical distribution of sediment size particles and their selectivity in wind erosion studies. Conclusion: The finding of this study indicated that most sediment particles were transported near the soil surface, this means that by appropriate conservation practices such as making sufficient roughness through this height, wind erosion can be reduced, significantly. Also, it was found the soils containing coarser aggregates due to higher random roughness show less erodibility and wind erosion rates. Finally, the efficiency of sediment sampler was found to be affected by some other factors, therefore, more attention is needed in the application of these types of samplers while the calibration is of importance, as well.
Soil Physics, Erosion and Conservation
shamsollah ayoubi; zanyar feizi; Mohammad reza Mosaddeghi; Ali asghaar besaltpour
Abstract
Investigating the application of biochar, bentonite clay and polyvinyl acetate polymer on some mechanical properties of sand deposits IntroductionWind erosion seriously threatens bare soils and is recognized as a global environmental problem; however, little is known about this process in comparison ...
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Investigating the application of biochar, bentonite clay and polyvinyl acetate polymer on some mechanical properties of sand deposits IntroductionWind erosion seriously threatens bare soils and is recognized as a global environmental problem; however, little is known about this process in comparison to rainfall or tillage erosion. Due to the heavy costs of controlling wind erosion and the difficulty of detecting which control measure is the most effective, the correct selection of technical methods is indispensable for a suitable land management. Since the last decades, the methods of sand stabilization studied are diverse, but basically based on wind speed reduction by including chemical, mechanical and biological methods. One of the most important methods of stabilizing sandy soils is the use of mulches. In recent years, due to the disproportionate development of residential in peri-urban areas, humans use polymeric and oil mulches to stabilize sandy soils. Therefore, in this research, the effects of bentonite clay, polyvinyl acetate and palm biochar on reducing soil erosion by wind in peri-urban areas were investigated.Methods and Materials Three selected treatments were compared with a control plot without any treatment: palm biochar, polyvinyl acetate and bentonite clay. In order to prepare the palm biochar, palm remnants including the trunk, foliage and palm leaves were poured into the mill and turned into small pieces. The fragments were passed through a 2 mm sieve. The remnants transmitted from the sieve were poured into the trays of the discharger unit and placed inside a discharger at 350°C for 4 hours, and the biochemicals were prepared to the extent necessary for this research. Polyvinyl acetate treatment was provided by Isfahan Resin Co. and the bentonite clay by the Derin Kashan enterprise (both of them from Isfahan, Iran). To apply the treatments, each of them was mixed with a certain proportion of water per m2: i) 20 g l-1of palm biochar treatments; ii) 7 g l-1 of polyvinyl acetate treatment; and, iii) 20 g l-1 of bentonite clay.In order to apply the treatments, 36 galvanized trays with a same size (5×35×105 cm) were prepared and filled up from the air to the top edge with sand. After 1, 2, 4, 10 and 20 weeks some mechanical and physical properties were measured in laboratory. Results and Discussion A significant difference was observed among different treatments in terms of the impact on aggregates formations and stabilities at different moments. The application of bentonite clay treatment significantly increased the stability of formed aggregates compared to control treatment. The rest of treatments showed lower aggregability. The mean weigh diameter (MDW) for the control plot was 0.28 mm. The lowest MWD was obtained by the palm biochar treatment, which increased by 20.1, 14.9, 9, 2.5 and 1.6% after the first, second, fourth, tenth and twentieth weeks of application, respectively. Polyvinyl acetate treatment increased MDW by 65.1, 61.6, 58.8, 41.9 and 31.5% after the first, second, fourth, tenth and twentieth weeks, respectively. The highest MWD was obtained by bentonite clay treatment, which generated an increase by 77.8, 71, 65.1, 59.9 and 49.7% in the first, second, fourth, tenth and twentieth weeks, respectively). The images from thin sections of bentonite clay and polyvinyl acetate treatments showed that soil particles were joined to form larger aggregates in all of cases.No significant differences was observed for hydraulic conductivity at different times were observed. There was a significant difference among different treatments at different monitoring periods. The application of bentonite clay significantly reduced the fractal dimension. On the contrary, the lowest effect was registered for the palm biochar treatment. The effect of bentonite clay treatment on soils was higher than other selected treatments showing a reduction by 10.6, 9.7, 8.7 6.7 and 6.3% in the first, second, fourth, tenth and twentieth weeks, respectively. The impact of different treatments on shear resistance showed that the application of the selected treatments significantly increased the shear strength in all the cases. Among the selected treatments, the effect of bentonite clay treatment on shear resistance was higher than other treatments. The lowest and the highest shear resistance were registered for the palm biochar and bentointe clay, respectively. Palm biochar increased shear resistance by 9.3, 9.3, 8, 5.3 and 3.3% compared to the control plot in the first, second, fourth, tenth and twentieth weeks after its application. On the other, bentonite clay registered the highest improvement in shear resistance by 44.7, 44.7, 42.7, 37.3 and 31.3% in the first, second, fourth, tenth and twentieth weeks, respectively. Keywords: Mulches, Bentonite, Clay, Biochar, Palm, Mechanical properties
Soil Physics, Erosion and Conservation
Nasim Bazshushtarizadeh; shamsollah ayoubi
Abstract
Introduction 137Cs is an artificial radionuclide with a half-life of 30.2 years and strong gamma radiation that, due to nuclear explosions in the 1950s, and 1960s entered the earth's surface by the rain. The radionuclide has been widely used for the evaluation rates and patterns of soil erosion and deposition. ...
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Introduction 137Cs is an artificial radionuclide with a half-life of 30.2 years and strong gamma radiation that, due to nuclear explosions in the 1950s, and 1960s entered the earth's surface by the rain. The radionuclide has been widely used for the evaluation rates and patterns of soil erosion and deposition. 137Cs was rapidly adsorbed to fine particles of soil surface horizon and its distribution is basically accompanied by the physical processes of soil, such as erosion and tillage. 137Cs is distributed exponentially as a function of depth to a maximum depth ranging from 5 to 15 cm in the undisturbed soil. The basis of calculating of erosion by 137Cs method is based on comparison between the amount of 137Cs in studied soil and the reference site (local, flat, un-eroded, undisturbed and stable site) and 137Cs loss or gain, relative to the reference inventory, indicates soil erosion and deposition, respectively. So, the reliable and accurate reference estimate of 137Cs is essential. No attempt has been made to explore the variability of 137Cs inventory in the reference sites in Iran. Therefore, This study was conducted to evaluate variability of 137Cs inventory and its relationship with some soil properties at the reference site located in Fereydan district in western of Isfahan province. Materials and Methods 96 soil samples were collected from 0-15 cm and 15-30 cm depths. Moreover, for evaluation of vertical distribution of 137Cs, two profiles were excavated and 8 soil samples were collected from 0-5, 5-15, 15-25 and 25-35 cm depths. Gamma-ray spectrometry device was used for 137Cs analysis. Magnetic susceptibility values were measured using Bartington susceptimeter at low (0.46 kHz) and high (4.6 kHz) frequencies and magnetic susceptibility dependent was calculated by low and high frequency values. Soil properties including total nitrogen, organic material, cation exchange capacity, calcium carbonate equivalent, EC, pH, texture, gravel and bulk density were determined. Descriptive statistics including mean, minimum, maximum, standard deviation (SD), coefficients of variation (CV), skewness, and kurtosis were calculated by SPSS software, v.16. The distribution of variables was evaluated using the Kolmogorov-Smirnov test. Pearson correlation coefficient and regression analysis were used to examine the relationships between 137Cs and soil properties. Results and Discussion The coefficient of variation of 137Cs inventory were 15.05 and 14.05% in 0-15 cm and 15-30 cm depth respectively. The result indicated that 137Cs has uniformly distributed in studied reference site. The results of the study showed that OM, OM/Clay, CEC/Clay, EC, Sand, BD, χlf and χhf were correlated with 137Cs. The results of multiple regression analysis indicated that bulk density, clay content and magnetic susceptibility at low frequency explained 43% of total variability of 137Cs in the studied reference site. Conclusions In the present study, variability of 137cs was investigated in a reference site in Ferydan district in Isfahan Province. The study showed that 137Cs had low variability. Among the soil physical and chemical properties, Soil pH, silt, gravel, nitrogen and calcium carbonate equivalent did not show significant correlation with 137Cs. The highest positive significant correlation was obtained for BD and 137Cs. Also, magnetic susceptibility at low and high frequencies showed significant correlations with 137Cs. In the multiple regression analysis, BD, clay content, and magnetic susceptibility were included in the model for explaining the 137Cs variability. It is suggested that similar study be done in the other reference sites in the western Iran.
Soil Physics, Erosion and Conservation
Motahareh Noorzade Roshan; Reza Ghorbani Nasrabadi
Abstract
Introduction Soil quality has been defined as a “The potential of soil to play a positive relationship with the other parts of ecosystem”. Soil biological indicators provide insight into the living component of the soil. Similar to physical and chemical indicators, biological indicators have ...
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Introduction Soil quality has been defined as a “The potential of soil to play a positive relationship with the other parts of ecosystem”. Soil biological indicators provide insight into the living component of the soil. Similar to physical and chemical indicators, biological indicators have a relationship to soil functions and can evaluate soil functions to assess soil quality. Between biological indicators, an index that can be measured quickly and easily is more useful to show the changes. In many studies an indicator of microbial respiration, microbial population, nitrogen mineralization and enzymes activity can be used. Special ability is required to measure quickly and show the quality of soil microorganisms and reaction to environmental changes. Soil health is defined by chemical and physical parameters such as soil texture, soil pH, electrical conductivity, etc., that are not quantifiable completely. Therefore, conservation practices planting and forestry may directly or indirectly affect a organism’s activities. The results of land-use systems without consideration of the consequences on soil quality have been environmental degradation. Agricultural management systems have been generally adopted without attending to soil conservation and soil quality, and this therefore causes significant decline in agricultural soil health worldwide. Different methods of soil conservation have been proposed to prevent erosion and improve soil quality destructive phenomena. In Golestan province due to topographical and climatic conditions and less soil sensitivity to erosion, more attention should be given to this issue. But it remains unclear how far this conservation practice can take to prevent damage. This study aimed to investigate the role of conservative practices to improve the soil quality indicators.Materials and Methods The watershed of Chehelchai is located between North latitudes 36° 59´ and 37° 13´ and Earth longitudes 55° 23´ and 55° 38´. The history of land use in the region shows that more than about 40 years ago, all the study area was covered by forest. Agricultural land use changes occurred on a large scale. With emphasis on conservation operation, parts of the agricultural land were changed to productive gardens, partly forested, partly pasture with native species. Different land uses were selected in loess formations, and slope of 41 %, with life operations was about 6 to 7 years. Protective Operations Garden species, terraces and forestry were selected and quality of soil was compared with agricultural land, pasture and natural forest. In this regard, 10 soil samples were taken. After preparation of the samples, physical, chemical and biological analysis were measured. Additionally, soil properties (pH, Electrical Conductivity, Calcium carbonate, organic matter, texture, bulk density, aggregate stability, microbial respiration, microbial biomass population count of micro- arthropods, biological soil quality) were analyzed. The data were analyzed using software SAS. Ver 9. and the results were compared in a randomized complete block design. Analysis of variance in the form of randomized complete block design was done using the LSD multiple comparison. Results and Discussion Our results showed that the dominant soil texture class in land uses was silty loam. It seems that soil texture is less affected by the land use changes. The results showed that the changes of forest and pasture to agricultural lands have destroyed the soil quality. Soil quality indicators such as organic matter and aggregate stability have declined by 60 and 70 percent respectively. Like wise, biological indicators such as microbial respiration, microbial biomass carbon and QBS (biological soil quality indicators based on the population of micro- arthropods) and EMI (index dependence of soil to soil organisms) showed a similar trend. In contrast, the Conservation practices improved the indices. Biological indicators in the forestry and gardening showed an increase of 40 percent in EMI Microbial biomass carbon and 80 percent in microbial respiration. Terracing had less improvement than other operations in about 11 to 20 percent in EMI and microbial biomass carbon. Conclusion Conservation operations had fewer effects on indicators such as aggregate stability and organic matter. Under estimation of effects in certain indicators maybe due to short time of conservation practices. It seems that these operations will show better results in the future Received: 19 July, 2016Accepted: 10 April, 2018
Soil Physics, Erosion and Conservation
Hamid Kelishadi; Mohammad Reza Mosaddeghi; Shamsollah Ayoubi; Hossein Asadi
Abstract
Introduction Soil erosion is one of the major obstacles to sustainable development. A large part of Iran has an arid and semi-arid climate, without vegetation with suitable density or even completely without vegetation. Therefore, many parts of the country face high erosion and soil losses. Previous ...
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Introduction Soil erosion is one of the major obstacles to sustainable development. A large part of Iran has an arid and semi-arid climate, without vegetation with suitable density or even completely without vegetation. Therefore, many parts of the country face high erosion and soil losses. Previous studies showed an increased trend of soil erosion in Iran. Because in situ measurement of soil erosion at the farm or watershed scale is expensive and time-consuming, estimation of soil erosion from easy and ready parameters can be useful. It is well-known that aggregate stability can affect soil erosion. There are many methods developed to measure soil aggregate stability, but there is no specific method that can be used for a wide range of soil types under different land uses. This study was done to compare different methods of aggregate stability determination (i.e., splash rate measurement, shear strength measured with fall-cone penetrometer and wet sieving). Materials and Methods Twenty-eight soil samples with different textures, equivalent calcium carbonate, and organic matter were collected from surface soil layers in Isfahan and Chaharmahal-va-Bakhtiari provinces. Particles size distribution of studied the soil was measured. Very coarse sand (VCS), coarse sand (CS), medium sand (MS), fine sand (FS) and very fine sand (VFS) were measured according to ASTM sieves. Also, four components of silt (0.035-0.05, 0.02-0.035, 0.01-0.02 and 0.002-0.01 mm) were measured according to Stock's law by the pipette method. Geometric mean diameter and geometric standard deviation of particles were calculated by Shirazi and Boeresma (1984) relations. Soil splash rate (S) was measured with rainfall simulator, near-saturated soil shear strength (τ) was determined using the fall-cone penetrometer, and mean weight diameter (MWD) and geometric mean diameter (GMD) of soil aggregates were measured by the wet sieving. Results and Discussion The results of this study showed that the sand, silt and clay contents were, respectively, in the ranges of 1.5-51%, 34-73% and 11-35% in the studied soils. Most of the sand particles belonged to the FS and VFS (0.05-0.25 mm) fractions and most of the silt fraction was in the very fine silt (0.002-0.01 mm) fraction. The range of organic matter was 0.08 to 8.8% and calcium carbonate equivalent varied in the range between 10% and 63%. Generally, soil aggregate stability was low and splash erosion was high in the studied soils. The results showed that S showed significant correlations with sand, silt, and geometric mean diameter and geometric standard deviation calculated using all particle fractions, VCS, CS, MS, FS, fine silt and very fine silt. Soil shear strength (τ) had significant correlations with silt, very fine silt, geometric mean diameter and geometric standard deviation. The GMD and MWD had significant correlations with soil organic carbon. The results showed that S had significant and negative correlations with τ and GMD, and there were significant and positive correlations between τ with GMD and MWD. The S was mainly dependent on particle size distribution, while GMD and MWD mainly depended on soil organic carbon. However, both particle size distribution and soil organic carbon would affect τ. This finding might be justified by differences between mechanisms which are responsible for particles detachment. The energies induced by raindrop impact and slaking are the main forces and mechanisms responsible for detachment of particles in splash erosion and wet sieving tests, respectively while the cohesive forces between particles mainly govern soil strength in the fall-cone penetrometer test. The studied soils were clustered based on intrinsic soil properties (i.e., texture, CaCO3 and organic carbon) by using K-means method in MATLAB software, in order to evaluate the capability of different methods in different soil groups. The least significant difference (LSD) test was used in a completely randomized design for mean’ comparisons between the clusters. The mean comparison results showed that the three methods similarly predicted the variation of aggregate stability in different soil clusters. The results of clustering showed that the soil cluster with high organic matter, silt and clay contents and low sand content was more stable than other clusters. Conclusion Three methods similarly predicted the variation of aggregate stability in different soil groups; therefore, the methods might be used alternatively for aggregate stability determination. Fall-cone penetrometer can be introduced as an in situ method for evaluation of aggregate stability against splash erosion.
Soil Physics, Erosion and Conservation
Vajiheh Dorostkar; Reyhane Vali
Abstract
Introduction Crop production in arid and semi arid regions especially in saline soils always has many problems. Soil low organic matter content is one of the limiting factors in arid condition. Incorporation of plant residues is a good strategy for increasing the soil organic carbon and consequently ...
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Introduction Crop production in arid and semi arid regions especially in saline soils always has many problems. Soil low organic matter content is one of the limiting factors in arid condition. Incorporation of plant residues is a good strategy for increasing the soil organic carbon and consequently for improving soil physical quality (34). However, some studies have shown that addition of organic matter in to the soil can increase soil water repellency (17, 18). This study was conducted to investigate the effect of grape leaves and pomegranate peels on the soil structural stability and soil water repellency in different salinity levels. Materials and Methods The arable soil was collected from the soil surface layer (0–20 cm) of Bastam Agricultural Research field in Semnan province and passed through a 4 mm sieve. A greenhouse experiment was conducted with three treatments including plant residues type (Grape leaves and pomegranate peels), amount of plant residues (0, 2 and 5 g 100 g-1 soil ) and salinity (1.5, 7 and 15 dS m-1). Plant residues were collected from grape and pomegranate gardens and after drying, milled and passed through a 1 mm sieve. Plant residues were mixed with soil and salinity treatment was applied with calcium chloride salt. Pots were filled with mixture of saline soil and plant residues and incubated in the greenhouse for 50 days. The soil organic carbon, soil hot water and diluted acid carbohydrate, soil microbial basal respiration, water dispersible clay and soil water repellency were measured at the end of the experiment. Results and Discussion Pomegranate peels increased the soil organic carbon content and hot water and diluted acid carbohydrates more than the grape leaves (Table 5) due to greater C:N ratio and lower microbial decomposability (37). Soil microbial basal respiration was 15.5% lower in pomegranate peel treatments than grape leaves and (Table 5). Water dispersible clay decreased by increasing the amount of plant residues (Table 8). Soil organic carbon increased by the amount of plant residues. Soil organic carbon is an important factor in stability of soil aggregate and consequently decreases the soil water dispersible clay (7). Strong negative correlation between soil organic carbon and soil water dispersible clay can confirm these results. In addition, the soil carbohydrates are known as an important factor in stability of aggregate especially for macroaggregates (40). Salinity increment from 1.5 to 15 dS m-1 caused a reduction in water dispersible clay from 45.1 to 31.2 g kg-1 soil (Table 9). Calcium as a divalent cation is an important factor in soil structural stability and probably decreased the soil water dispersible clay (7). Soil repellency index was greater than 1.95 in all treatments and ranged from 2.3 and 5.9 in different treatments. These results indicated subcritical soil water repellency in soil. Soil water repellency index increased 38 and 67 percent in treatments with 2 and 5 g residues 100g-1 soil compared to control treatment (no residue) (Figure 3). In addition, soil hydrophobicity was 10% higher in the pomegranate peels treatments than in grape leaves treatments (Figure 4). Soil organic carbon and soil hot water and diluted acid extractable carbohydrates concentration increased by the plant residues addition. The soil organic components have a hydrophobic and a hydrophilic parts and the orientation of hydrophobic parts on the soil particle surface can make a repellent soil surface (6). Soil calcium (Ca+2) concentration increased by salinity. This divalent cation in the soil solution could act as a bridge between the soil particles and functional groups of dissolved organic matters. This bridge could facilitate covering of soil particles by hydrophobic compounds and make a more stable soil structure by flocculating soil particle at high salinity levels (7). The hydrophobic coatings on the soil surfaces increased the solid–liquid interfacial free energy (γsl) and decreased the solid surface free energy (γsg) as indirect effects of salinity on repellency. In addition, water entering into the soil immediately dissolved the soluble salts which had precipitated in the initially dry soil. There is some evidence showing that surface tension of water (γlg) increases with salts. Decrease of γsg and the increase of γsl and γlg might cause the repellency increment (43). Calcium bridge between soil particles could improve the soil structure with salinity increment. Increasing the SE by salinity in this study confirms this hypothesis. The soil SW depends on pore geometry and hydrophobic coating on soil particles, but the soil SE only depends on pore geometry. Thus, increasing the SE might be an indicator for better pores connection and stable structure (15). Conclusion Many grape leaves and pomegranate peels are produced in Iran every year. These plant residues are potentially a good source for increasing the soil organic carbon. Our results showed that incorporation of these plant residues in to the soil could increase the soil organic carbon and carbohydrate concentration and improve the soil aggregates stability. However incorporation of residues into the soil increased the soil water repellency. In addition salinity increment induced soil hydrophobicity. More detailed studies are needed to understand the positive or negative effects of this subcritical hydrophobicity development in saline soils.
Soil Physics, Erosion and Conservation
E. Karami; S. Ghorbani Dashtaki; Bijan Khalilimoghadam
Abstract
Introduction Soil erodibility can be viewed as the integral result of the processes determining the infiltration of rain into the soil and of the processes determining the soil’s resistance to the detachment of its particles and their subsequent transport (Lal, 1988). It is generally considered ...
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Introduction Soil erodibility can be viewed as the integral result of the processes determining the infiltration of rain into the soil and of the processes determining the soil’s resistance to the detachment of its particles and their subsequent transport (Lal, 1988). It is generally considered as an inherent soil property with a constant value for a given soil type and widely adopted as an important factor in soil erosion prediction models, such as the Universal Soil Loss Equation (USLE), and the Revised USLE (RUSLE). The erodibility factor, commonly known as the K factor, in the USLE was defined as the average rate of soil loss per unit of rainfall erosivity index from a cultivated continuous fallow plot, on a 9% slope 22.1 m long. Soil erodibility factor K is not only an internal factor indicating the amount of soil loss, but also the basis for the quantitative study of soil erosion. Soil erodibility is closely related to the basic physicochemical characteristics of soils. The total aggregate content, 1–10 mm aggregate content, aggregation degree, aggregate dispersion coefficient and erosion rate are indexes for the analysis of soil anti-erosion capability. Not only may soil erosion be different for various types of soils, but also it is different for the same type of soil under different climate conditions or land use management. Different land use systems might alter several soil properties and processes. Kosmas et al. (2000) reported that land use change could impact soil physical, chemical, and biological properties. Studies by Duiker et al. (2001) showed that land use changes from natural and semi-natural vegetation to cultivated and grazed lands affect soil bulk density, porosity and water storage, water infiltration and water flow characteristics and surface runoff. Abbaszadeh Afshar et al. (2010) found that organic matter content and bulk density were greater in pasture soils than in dry farm soils. Kay (2000) showed that large aggregate sizes and high organic matter content protect soils against splash detachment. Although there are many studies on land use impacts on soil erodibility, to the best of the authors’ knowledge, no study has of yet been reported on the effects of land use change on soil erodibility in Zayandeh-Rood watershed. Therefore, the objective of this study was to investigate the impacts of different land uses on soil erodibility in a part of Zayandeh-Rood watershed. Materials and Methods For this purpose, soil properties including particle size distribution, gravel percent, bulk density, permeability of soil profile, Structure code and permeability code, organic matter, calcium carbonate equivalent, mean weight diameter of aggregates and surface shear strength were measured. Soil erodibility was measured with a rainfall simulation device with rainfall intensity of 30 mm h-1 and 30 min duration in a plot with 0.25 m2 area and 9% slop in two land uses, namely pasture and degraded pasture. A completely randomized design was used in which soil texture and the land use changes were analyzed. The multiple-linear regression analysis was used to relate soil erodibility factor to different soil parameters. Results and Discussion The influence of land use change on soil erodibility was investigated based on simulated rainfall in field conditions. The findings of this study demonstrated that a considerable amount of soil erodibility occurred in the study region characterized by low organic matter and mismanagement. On average, soil erodibility was significantly affected in the Zayandeh-Rood watershed, Iran, by the land use system (i.e., soil structure and management practices) rather than by the soil textural class. Average soil erodibility was obtained in pasture land use 0.05 (ton h MJ-1 mm-1) and in degraded pasture 0.09 (ton h MJ-1 mm-1). Low soil organic matter content in the degraded pasture land is probably caused by livestock overgrazing and ultimately grazing. Based on the results obtained of the transfer functions in each land uses, it was observed that clay and coarse sand particles (R2=0.86) in pasture land uses and surface shear strength and permeability code (R2=0.90) in degraded-rangeland at the 5% level compared to other soil properties were more suitable parameters for estimating of soil erodibility. Thus, vegetation cover protection was recommended to soil conservation in this region.