نوع مقاله : مقاله پژوهشی

نویسندگان

1 گروه محیط زیست، واحد لاهیجان، دانشگاه آزاد اسلامی، لاهیجان، ایران

2 گروه محیط زیست، واحدلاهیجان، دانشگاه آزاد اسلامی، لاهیجان، ایران

3 استادیار گروه علوم خاک دانشکده کشاورزی، دانشگاه گیلان

10.22055/agen.2021.36055.1596

چکیده

سلامت خاک وابسته به منشا تشکیل‌دهنده، کاربری و مدیریت آن است. در این پژوهش، اثرات فعالیت جایگاه دفع زباله‌ سراوان رشت، گیلان، از طریق شاخص‌های کیفیت تجمعی ساده، وزنی و نمرو بررسی شد. براساس فاصله از جایگاه، شیب، ارتفاع و مسیر حرکت شیرابه، 32 نمونه‌ مرکب از عمق 15-0 سانتی‌متر با پوشش گیاهی یکسان در سه تکرار برداشت گردید. 17ویژگی خاک به‌عنوان مجموعه کل داده‌ها اندازه‌گیری شدند. میانگین ویژگی‌های آهن و فسفر قابل‌دسترس، هدایت الکتریکی و نیتروژن کل به‌طور معنی‌داری بیشتر از شاهد و میانگین روی و مس قابل‌دسترس، کربن آلی، تنفس پایه، کربن زیتوده‌ی‌میکروبی و فعالیت آنزیم‌های اوره‌آز و فسفاتاز‌ قلیایی به‌طور معنی‌داری کمتر از شاهد بود (01/0p <). از طریق تجزیه به مولفه‌ اصلی، از چهار مولفه با سهم %73 از واریانس کل، شش ویژگی (کربن زیتوده‌میکروبی، سیلت، فسفر و مس قابل‌دسترس، رس و هدایت الکتریکی)، به‌عنوان مجموعه حداقل داده‌ها انتخاب شدند. میانگین شاخص کیفیت تجمعی ساده و وزنی از طریق مجموعه کل داده‌ها در مسیر عبور شیرابه (به‌ترتیب 54/0 و 51/0) و اراضی کشاورزی پایین-دست (به‌ترتیب 55/0 و 52/0) با درجه‌ کیفیت به‌ترتیب III و IV، تفاوت معنی‌داری با شاهد (به‌ترتیب 62/0 و 63/0) با درجه‌ کیفیت به‌-ترتیب II، III داشته و مبین کاهش کیفیت خاک در مسیر شیرابه و اراضی کشاورزی پایین‌دست است. درجه‌ کیفیت با مجموعه حداقل داده‌ها برای همه‌ شاخص‌های کیفیت خاک در معرض فعالیت جایگاه و شاهد یکسان بود. براساس نتایج، تغییر کاربری عرصه‌های جنگلی به جایگاه دفع زباله سبب کاهش کیفیت خاک در مسیر حرکت شیرابه و اراضی پایین‌دست شده است.

کلیدواژه‌ها

موضوعات

عنوان مقاله [English]

Evaluation of the effect of municipal solid waste disposal site activity on the quality of adjacent soil- Case study- Saravan Rasht dumpsite

نویسندگان [English]

  • Masoumeh Sadeghi Poor Sheijany 1
  • Fatemeh Shariati 2
  • Nafiseh Yaghmaeian Mahabadi 3
  • Hassan Karimzadegan 1

1 Department of Environment, Lahijan Branch, Islamic Azad University, Lahijan, Iran

2 Department of Environment, Lahijan Branch, Islamic Azad University, Lahijan, Iran

3 Assistant Professor, Department of Soil Science, Faculty of Agricultural Sciences, University of Guilan, Iran

چکیده [English]

Introduction One of the most important results of population growth, urbanization, and industrialization is the increase of urban waste. Accumulation of municipal solid waste produces toxic leachate that can transfer contaminants to the soil and alter its quality, especially in vulnerable forest ecosystems. This study was carried out to determine the properties of the soil of the Saravan municipal solid waste disposal site that is located in a part of the Hyrcanian forests, Rasht, Guilan province, which have been affected by the activity of the open dumpsite; Determining the minimum data set (MDS) and evaluating the quality adjacent soil to the dumpsite, the route affected by leachate and downstream lands, through soil quality indices such as simple integrated quality index (IQISA), weighted integrated quality index (IQIW) and Nemoro quality index using total data set (TDS) and MDS, and comparing them with each other.
Materials and Methods Based on the distance from the disposal site, slope, height, and the route of leachate, from 32 sampling points with the same vegetation, a total of 32 composite samples were prepared in plots 10×10 from (five sub-samples from four heads and the middle by a polyethylene hand auger) a depth of 0-15 cm in June 2019.
The soil properties including pH, clay, silt, sand, available phosphorus (Pava), copper (Cuav), zinc (Znav), and iron (Feav), total nitrogen (N), cation exchange capacity (CEC), electrical conductivity (EC), organic carbon (OC), basal respiration (BR), microbial biomass carbon (MBC), the metabolic quotient (qCO2) and enzymatic activities of Urease (UR) and alkaline phosphatase (ALP) were measured. One-way analysis of variance (ANOVA) and independent comparison tests was used to compare the results of the soil samples in areas exposed to dumpsite activities and control. Six properties were selected as MDS using principal component analysis (PCA). The models of the simple integrated quality index (IQIsa), weighted integrated quality index (IQIW), and the Nemoro index were used to determine soil quality. One-way ANOVA and Duncan’s multiple range tests were used to compare the mean soil quality indices in the areas around the disposal site, leachate-affected route, and downstream lands. The possible relationship between chemical, physical and biological properties was investigated by calculating Pearson’s correlation coefficients.
Results and Discussion The results showed that the value of soil properties including Feav, EC, Pav, N, Znav, Cuav, OC, BR, MBC, the enzymatic activities of UR and ALP is significantly different from the control (p < 0.01). The properties of Pav, Cuav, EC, clay, silt and MBC were selected as MDS, which can describe 73% of changes in the soil quality. Evaluation of the soil quality through Nemoro index, using MDS and TDS (IV and III, respectively) at different distances from the dumpsite was the same as the control. The values of IQIsa and IQIw using MDS did not show any significant difference with the control in all routes exposed to the activity of the disposal site, except around the dumpsite. However, the degree of soil quality through the overall average IQIsa and IQIw, using MDS in all areas exposed to the dumpsite was the same as the control. The results of IQIsa and IQIw, using TDS were so different so that the values of IQIsa and IQIw, using TDS in the path of leachate and lands downstream of the disposal site showed a significant difference with the control (p < 0.01). Also, the quality degree through the overall mean value of IQIsa and IQIw, using TDS (III and IV, respectively), around the disposal site and the path of leachate were different from the control (II and III, respectively).
The Saravan municipal waste disposal site is located in an area, with a Mediterranean climate, with high relative humidity and rainfall. It has increased the possibility of leachate production. On the other hand, with the leachate flowing along the sloping path of 15%, especially after each rainfall in the area, the soil is contaminated by leachate and transfer downstream. Also, Leachate is discharged from the disposal site downstream, into the river, which is used to irrigate agricultural land downstream of the dumpsite. The results of changes in IQIsa and IQIw by TDS can indicate the possible consequence of the leachate effect from the disposal site on the path to the soil of downstream farms.

Conclusion According to the objectives of the research, it seems that soil properties including Feav, Pav, EC, N, BR, MBC, and the enzymatic activities of UR and AIP have been affected by the activity Saravan solid waste disposal site. Investigating the results of the quality indices using MDS and TDS showed that IQIsa and IQIw, using TDS can better represent the effect of waste disposal site activity on soil quality. Significant differences of the IQIsa and IQIw, in the leachate route and downstream agricultural lands with the control can probably be due to the effect of leachate and leaching of soil around the leachate route and its transfer downstream. Considering the same quality results in the area exposed to the activity of the disposal site with the control through the Nemoro index, using MDS, TDS, it can be concluded that Nemoro index does not have the required sensitivity to describe the effect of waste disposal activity on the quality adjacent soil. This study showed that the change of use of the forest area to waste disposal site affected its soil quality in the path of leachate and downstream lands. Therefore, to protect the areas of Hyrcanian forests in the Saravan region and to prevent the reduction of soil quality in the region, taking the necessary measures to separate the municipal solid waste from the origin, to establish leachate collection systems and treatment of leachate before flowing in the forest areas should be carried out.

کلیدواژه‌ها [English]

  • Minimum data set
  • Principal component analysis
  • Soil quality index
  • Enzymatic activity
  • Soil quality grade
  • Metabolic quotient
  1. Alef, K., and Nannipieri, P. 1995. Methods in applied soil microbiology and biochemistry (No. 631.46 M592ma). Academic Press, London.
  2. Alves de Castro Lopes, A., Gomes de Sousa, D.M., Chaer, G.M., Bueno dos Reis Junior, F., Goedert, W.J., and de Carvalho Mendes, I. 2013. Interpretation of microbial soil indicators as a function of crop yield and organic carbon. Soil Science Society of America Journal, 77(2): 461-472.
  3. Anderson T.H. 2003. Microbial eco-physiological indicators to asses soil quality. Agriculture, Ecosystems and Environment, 98: 285–293.
  4. Andrews, S.S., Karlen, D.L., and Mitchell, J.P. 2002. A comparison of soil quality indexing methods for vegetable production systems in Northern California. Agriculture, ecosystems & environment, 90(1): 25-45.
  5. Armenise, E., Redmile-Gordon, M.A., Stellacci, A.M., Ciccarese, A., and Rubino, P. 2013. Developing a soil quality index to compare soil fitness for agricultural use under different managements in the Mediterranean environment. Soil and Tillage Research, 130: 91-98.
  6. Biswas, S., Hazra, G. C., Purakayastha, T. J., Saha, N., Mitran, T., Roy, S. S., and Mandal, B. 2017. Establishment of critical limits of indicators and indices of soil quality in rice-rice cropping systems under different soil orders. Geoderma, 292: 34-48.
  7. Bouyoucos, G. J. 1962. Hydrometer method improved for making particle size analyses of soils 1. Agronomy Journal, 54(5): 464-465.
  8. Bremner, J. M. and Mulvaney, C. S. 1982. Nitrogen—total 1. Methods of soil analysis. Part 2. Chemical and Microbiological Properties, (methods of soil an2), PP: 595-624.
  9. Bünemann, E.K., Bongiorno, G., Bai, Z., Creamer, R.E., De Deyn, G., de Goede, R., Fleskens, L., Geissen, V., Kuyper, T.W., Mäder, P., and Pulleman, M., 2018. Soil quality–A critical review. Soil Biology and Biochemistry, 120: 105-125.
  10. Chandel, S., Hadda, M.S., and Mahal, A.K. 2018. Soil quality assessment through minimum data set under different land uses of submontane Punjab. Communications in Soil Science and Plant Analysis, 49(6): 658-674.
  11. Chapman, H. D. (1965). Cation-exchange capacity. In C. A. Black (Ed.), Methods of soil analysis - chemical and microbiological properties. Agronomy, 9: 891–
  12. Chen, T.B., Zheng, Y.M., Lei, M., Huang, Z.C., Wu, H.T., Chen, H., Fan, K.K., Yu, K., Wu, X., and Tian, Q.Z. 2005. Assessment of heavy metal pollution in surface soils of urban parks in Beijing, China. Chemosphere, 60(4): 542-551.
  13. Cherubin, M.R., Karlen, D.L., Cerri, C.E., Franco, A.L., Tormena, C.A., Davies, C.A., and Cerri, C.C. 2016. Soil quality indexing strategies for evaluating sugarcane expansion in Brazil. PloS one, 11(3): p.e0150860.
  14. Cittadino, A., Ocello, N., Majul, M.V., Ajhuacho, R., Dietrich, P., and Igarzabal, M.A. 2020. Heavy metal pollution and health risk assessment of soils from open dumps in the Metropolitan Area of Buenos Aires, Argentina. Environmental Monitoring and Assessment, 192: 1-9.
  15. Davari, M., Gholami, L., Nabiollahi, K., Homaee, M. and Jafari, H.J. 2020. Deforestation and cultivation of sparse forest impacts on soil quality (case study: West Iran, Baneh). Soil and Tillage Research, 198, p.104504.
  16. Doran, J.W. and Parkin, T.B. 1994. Defining and assessing soil quality. Defining soil quality for a sustainable environment, 35: 1-21.
  17. Fazekašová, D. and Fazekaš, J. 2020. Soil Quality and Heavy Metal Pollution Assessment of Iron Ore Mines in Nizna Slana (Slovakia). Sustainability, 12(6): 2549.
  18. Fine, A.K., van Es, H.M., and Schindelbeck, R.R. 2017. Statistics, scoring functions, and regional analysis of a comprehensive soil health database. Soil Science Society of America Journal, 81(3): 589-601.
  19. Fonge, B.A., Nkoleka, E.N., Asong, F.Z., Ajonina, S.A., and Che, V.B. 2017. Heavy metal contamination in soils from a municipal landfill, surrounded by banana plantation in the eastern flank of Mount Cameroon. African Journal of Biotechnology, 16(25): 1391-1399.
  20. Hamidi Nehrani S., Askari M.S., Saadat S., Delavar M.A., and Taheri M. 2020. Using multivariate analysis to evaluate soil quality in agricultural lands of Zanjan province. Applied Soil Research. 8(2):158-173. (In Persian with English abstract)
  21. Hosseinzade, F., Moomeni, A.A. and Bagheri, R. 2018. Assessment of heavy metals pollution in soils around Behshahr landfill. New Findings in Applied Geology, 12(24), pp.77-88. (In Persian with English abstract)
  22. Johannes, A., Matter, A., Schulin, R., Weisskopf, P., Baveye, P.C., and Boivin, P. 2017. Optimal organic carbon values for soil structure quality of arable soils. Does clay content matter?. Geoderma, 302: 14-21.
  23. Kaiser, H.F. 1960. The application of electronic computers to factor active soil organic matter pools. Soil Science Society of America Journal. 58: 1130–1139.
  24. Karlen, D.L. and Stott, D.E. 1994. A framework for evaluating physical and chemical indicators of soil quality. Defining soil quality for a sustainable environment, 35: 53-72.
  25. Kooch, Y., Rostayee, F., and Hosseini, S.M. 2015. Soil quality Indices in pure and mixed forest stands of southern Caspian region. Ecopersia, 3(2): 987-1001.
  26. 26 Liu, C., Cui, J., Jiang, G., Chen, X., Wang, L., & Fang, C. 2013. Soil heavy metal pollution assessment near the largest landfill of China. Soil and Sediment Contamination: An International Journal, 22(4), 390-403.
  27. Martin, A.P., Turnbull, R.E., Rissmann, C.W., and Rieger, P. 2017. Heavy metal and metalloid concentrations in soils under pasture of southern New Zealand. Geoderma regional, 11: 18-27.
  28. Moore, F., Sheykhi, V., Salari, M., and Bagheri, A. 2016. Soil quality assessment using GIS-based chemometric approach and pollution indices: Nakhlak mining district, Central Iran. Environmental Monitoring and Assessment. 188(4), 214: 1-16.
  29. Moradi, S., Nabiollahi, K., and Hossaini, S.M.T. 2019. Assessing the effect of forest degradation and slope position on soil quality index. Journal of Agricultural Engineering Soil Science and Agricultural Mechanization,(Scientific Journal of Agriculture), 41(4): 113-129. (In Persian with English abstract)
  30. Nabiollahi, K., Heshmat, E., Mosavi, A., Kerry, R., Zeraatpisheh, M. and Taghizadeh-Mehrjardi, R. 2020. Assessing the Influence of Soil Quality on Rainfed Wheat Yield. Agriculture, 10(10): 469- 487.
  31. Nabiollahi, K., Taghizadeh-Mehrjardi, R. and Eskandari, S. 2018. Assessing and monitoring the soil quality of forested and agricultural areas using soil-quality indices and digital soil-mapping in a semi-arid environment. Archives of Agronomy and soil science, 64(5): 696-707.
  32. Nabiollahi, K., Taghizadeh-Mehrjardi, R., Kerry, R. and Moradian, S., 2017. Assessment of soil quality indices for salt-affected agricultural land in Kurdistan Province, Iran. Ecological indicators, 83: 482-494.
  33. Nakhaei, M., Amiri, V., Rezaei, K., and Moosaei, F. 2015. An investigation of the potential environmental contamination from the leachate of the Rasht waste disposal site in Iran. Bulletin of engineering geology and the environment, 74(1): 233-246.
  34. Navas, M., Benito, M., Rodríguez, I., and Masaguer, A. 2011. Effect of five forage legume covers on soil quality at the Eastern plains of Venezuela. Applied soil ecology, 49: 242-249.
  35. Nyika, J.M., Onyari, E.K., Dinka, M.O., and Mishra, S.B. 2019. Heavy Metal Pollution and Mobility in Soils within a Landfill Vicinity: A South African Case Study. Oriental Journal of Chemistry, 35(4): 1286-1296.
  36. Ohlinger, R., 1996. Acid and alkaline phosphomonoesterase activity with the substrate pnitrophenyl phosphate. In: Schinner, F., Kandeler, E., Ohlinger, R., Margesin, R. (Eds) Methods in soil biology. Springer-Verlag Berlin, PP: 210-214.
  37. Olsen, S. R. 1982. Anion resin extractable phosphorus. Methods of Soil Analysis, 2: 423-424.
  38. Page, A. L., Miller, R. H., and Keeney, D. R. 1982. Methods of soil analysis, part 2. Chemical and microbiological properties, 2. PP: 1424
  39. Puglisi, E., Nicelli, M., Capri, E., Trevisan, M., and Del Re, A.A. 2005. A soil alteration index based on phospholipid fatty acids. Chemosphere, 61(11): 1548-1557.
  40. Qi, Y., Darilek, J.L., Huang, B., Zhao, Y., Sun, W., and Gu, Z. 2009. Evaluating soil quality indices in an agricultural region of Jiangsu Province, China. Geoderma, 149(3-4): 325-334.
  41. Raiesi, F., 2017. A minimum data set and soil quality index to quantify the effect of land use conversion on soil quality and degradation in native rangelands of upland arid and semiarid regions. Ecological Indicators, 75: 307-320.
  42. Ranjbar, A., Emami, H., Khorassani, R., and Karimi, K.R., 2016. Soil quality assessments in some Iranian saffron fields. Journal of Agricultural Science and Technology, 18: 865-878.
  43. Rasouli-Sadaghiani, M.H., Ghodrat, K., Ashrafi-Saeidlou, S., Jafari, M., and Khodaverdiloo, H. 2016. Evaluation of soil quality indicators in land use changed forest of Northern Zagros (Case study: Oshnavieh, West Azerbaijan). Journal of Soil Management and Sustinable Production, 6(3): 83-99. (In Persian with English abstract)
  44. Richards, L. A. 1954. Diagnosis and improvement of saline and alkali soils. LWW, 78(2): 154.
  45. Rinot, O., Levy, G.J., Steinberger, Y., Svoray, T., and Eshel, G. 2019. Soil health assessment: A critical review of current methodologies and a proposed new approach. Science of the total environment, 648: 1484-1491.
  46. Sheikhlou, F and Rasouli-Sadeghiani, M. H. 2016. The effect of agricultural and forestry uses on the activity of some soil enzymes. Iranian Journal of Soil and Water Research, 47 (1): 205-216. (In Persian with English abstract)
  47. Soleimannejad, Z., Abdolzadeh, A. and Sadeghipour, H.R. 2016. Heavy metal concentrations in industrial area soils and landfill site, Ghaemshahar, Iran. Journal of Mazandaran University of Medical Sciences, 26(136), pp.196-201. (In Persian with English abstract)
  48. Tang, J., Zhang, L., Zhang, J., Ren, L., Zhou, Y., Zheng, Y., Luo, L., Yang, Y., Huang, H. and Chen, A. 2020. Physicochemical features, metal availability and enzyme activity in heavy metal-polluted soil remediated by biochar and compost. Science of the Total Environment, 701, p.134751.
  49. Tessier, A., Campbell, P.G., and Bisson, M. 1979. Sequential extraction procedure for the speciation of particulate trace metals. Anal. Chem. 51(7): 844-851.
  50. Tripathy, S., Bhattacharyya, P., Mohapatra, R., Som, A., and Chowdhury, D. 2014. Influence of different fractions of heavy metals on microbial ecophysiological indicators and enzyme activities in century old municipal solid waste amended soil. Ecological engineering, 70: 25-34.
  51. Vance, E.D., Brookes, P.C., and Jenkinson, D.S. 1987. An extraction method for measuring soil microbial biomass C. Soil biology and Biochemistry, 19(6): 703-707.
  52. Vashisht, B.B., Maharjan, B., Sharma, S., and Kaur, S. 2020. Soil Quality and Its Potential Indicators under Different Land Use Systems in the Shivaliks of Indian Punjab. Sustainability, 12(8): 3490- 3503.
  53. Walkley, A. and Black, I. A. 1934. An examination of the Degtjareff method for determining soil organic matter, and a proposed modification of the chromic acid titration method. Soil science, 37(1): 29-38.
  54. Zeraatpisheh, M., Bakhshandeh, E., Hosseini, M. and Alavi, S.M., 2020. Assessing the effects of deforestation and intensive agriculture on the soil quality through digital soil mapping. Geoderma, 363, p.114139.