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Measuring the Land Use Based Risk of Soil Erosion in a Mining-Dominated Landscape in Northern Iran

Treść / Zawartość
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This study assessed the occurrence risk of soil erosion in a mining-dominated landscape in Qazvin Province, northern Iran using the Land Use Impact Model (LUIM) and MPSIAC model. The LUIM employs two concepts for estimating the soil erosion risk: Likelihood and Consequence. Likelihood was estimated spatially by integrating the maps of soil susceptibility to erosion, derived from a simultaneous analysis of slope, runoff curve number, and NDVI maps, and current land use management practices. In turn, Consequence was measured by combining soil sensitivity to erosion (according to soil depth), and the socio-economic and environmental value of different land uses. Likelihood was found to be high over abandoned rainfed and mining lands and low in rangelands. All mining areas and parts of rainfed lands and rangelands, covering 35% of the region, were classified as high in terms of Consequence. According to the final soil risk map, over 60% of the region distributed across all mining areas and parts of rangelands as well as the rainfed and irrigated lands, was found to have a moderate risk of soil erosion. The results showed that the ratio of mining sizes to their relevant hydrological basins size had a significant correlation with specific erosion, and special sediment (p < 0.01). Overall, extensive surface mining activities were found to be a major soil erosion driver requiring effective post-mining rehabilitation plans.
Rocznik
Strony
271--282
Opis fizyczny
Bibliogr. 39 poz., rys., tab.
Twórcy
  • Department of Range Management, Science and Research Branch, Islamic Azad University, Tehran, Iran
  • Department of Range Management, Science and Research Branch, Islamic Azad University, Tehran, Iran
  • Faculty of Natural Resources, University of Tehran, Karaj, Iran
  • Faculty of Natural Resources, University of Tehran, Karaj, Iran
Bibliografia
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  • 3. Bakker M.M, Govers G., van Doorn A., Quetier F., Chouvardas D., Rounsevell M. 2008. The response of soil erosion and sediment export to land-use change in four areas of Europe: the importance of landscape pattern. Geomorphology, 98, 213-226.
  • 4. Baranian Kabir E., Bashari H., Mosaddeghi M.R. and Bassiri M. 2017. Soil aggregate stability and organic matter as affected by land-use change in central Iran. Archives of Agronomy and Soil Science, 63(13), 1823-1837.
  • 5. Borrelli P., Robinson D.A., Fleischer L.R., Lugato E., Ballabio C., Alewell C., Meusburger K., Modugno S., Schütt B., Ferro V. 2017. An assessment of the global impact of 21st century land use change on soil erosion. Nature communications, 8, 1-13.
  • 6. Cerdan O., Govers G., Le Bissonnais Y., Van Oost K., Poesen J., Saby N., Gobin A., Vacca A., Quinton J., Auerswald K, 2010. Rates and spatial variations of soil erosion in Europe: a study based on erosion plot data. Geomorphology, 122, 167-177.
  • 7. Chen H., Zhang X., Abla M., Lü D., Yan R., Ren Q., Ren Z., Yang Y., Zhao W., Lin P. 2018. Effects of vegetation and rainfall types on surface runoff and soil erosion on steep slopes on the Loess Plateau, China. Catena, 170, 141-149.
  • 8. Clark R., MacEwan R., Robinson N., Hopley J. 2010. Remote sensing of land cover and land management practices affecting wind erosion risk in NW Victoria, Australia. 19th world congress of soil science, soil solutions for a changing world.
  • 9. Colazzo M., Niell S., Pareja L., Cesio V., Heinzen H. 2017. The influence of different soil types in the pesticide residue analysis method performance. Reports of the DBG.
  • 10. Demir S., Oğuz İ., Özer E. 2018. Estimation of soil losses in a slope area of Tokat Province through USLE and WEPP Model. Turkish Journal of Agriculture-Food Science and Technology, 6, 1838-1843.
  • 11. Fink J.R., Inda A.V., Bavaresco J., Barrón V., Torrent J., Bayer C. 2016. Adsorption and desorption of phosphorus in subtropical soils as affected by management system and mineralogy. Soil and Tillage Research, 155, 62-68.
  • 12. Gholami V., Booij M., Tehrani E.N., Hadian M. 2018. Spatial soil erosion estimation using an artificial neural network (ANN) and field plot data. Catena, 163, 210-218.
  • 13. Gunawan S. 2018. Direction of mine land reclamation based on geographical condition in Batupasir mining in Rejosari design, Village of Art, Gedangsari District, Regency of Gunungkidul, Diy. Universitas Pembangunan Nasional” Veteran” Yogyakarta.
  • 14. Hancock G.R., Duque J.M., Willgoose G.R. 2019. Geomorphic design and modelling at catchment scale for best mine rehabilitation – The Drayton mine example (New South Wales, Australia). Environmental modelling & software, 114, 140-151.
  • 15. Hou X., Shao J., Chen X., Li J., Lu J. 2020. Changes in the soil erosion status in the middle and lower reaches of the Yangtze River basin from 2001 to 2014 and the impacts of erosion on the water quality of lakes and reservoirs. International Journal of Remote Sensing, 41(8), 3175-3196.
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  • 17. Kim S-M., Choi Y., Suh J., Oh S., Park H-D., Yoon S-H. 2012. Estimation of soil erosion and sediment yield from mine tailing dumps using GIS: a case study at the Samgwang mine, Korea. Geosystem Engineering, 15, 2-9.
  • 18. Kleeberg A., Schapp A., Biemelt D. 2008. Phosphorus and iron erosion from non-vegetated sites in a post-mining landscape, Lusatia, Germany: Impact on aborning mining lakes. Catena, 72, 315-324.
  • 19. Kuchami-Sardo I., Besalatpour A.A., Bashari H., Shirani H. and Yildiz Ö. 2020. A geographic information system‐based land use impact model to map areas with risk for land degradation: Wind erosion as an example. Land Degradation & Development, 31(9), 1110-1124.
  • 20. Lakhote A.B., Khode B., Baisware E. 2014. Estimation of runoff for agricultural watershed and silt load assessment. International Journal of Innovative Research in Advanced Engineering, 1, 62-69.
  • 21. MacEwan R.J., McNeill J., Clarkson T. 2004. Developing a regional soil health strategy using a land use impact model.‘. In SuperSoil’. Proceedings of the International Soil Science Conference 2004, 5–9 December 2004, Sydney, Australia.
  • 22. Mariye M., Mariyo M., Changming Y., Lakew Teffera Z., Weldegebrial B. 2020. Effects of land use and land cover change on soil erosion potential in Berhe district: A case study of Legedadi watershed, Ethiopia. International Journal of River Basin Management, (in print), pp. 1-31.
  • 23. Martín‐Moreno C., Martin Duque J.F., Nicolau Ibarra J.M., Hernando Rodríguez N., Sanz Santos M.Á., Sánchez Castillo L. 2016. Effects of topography and surface soil cover on erosion for mining reclamation: the experimental spoil heap at El Machorro Mine (Central Spain). Land Degradation & Development, 27, 145-159.
  • 24. McNeill J., MacEwan R., Crawford D. 2006. Using GIS and a land use impact model to assess risk of soil erosion in West Gippsland. Applied GIS, 2, 19.1-19.6
  • 25. Noori H., Karami H., Farzin S., Siadatmousavi S.M., Mojaradi B., Kisi O., 2018. Investigation of RS and GIS techniques on MPSIAC model to estimate soil erosion. Natural Hazards, 91(1), 221-238.
  • 26. Ochoa‐Cueva P., Fries A., Montesinos P., Rodríguez‐Díaz J.A., Boll J. 2015. Spatial estimation of soil erosion risk by land‐cover change in the Andes of southern Ecuador. Land degradation & development, 26, 565-573.
  • 27. Ostovari Y., Ghorbani-Dashtaki S., Bahrami H-A., Naderi M., Dematte J.A.M., Kerry R. 2016. Modification of the USLE K factor for soil erodibility assessment on calcareous soils in Iran. Geomorphology, 273, 385-395.
  • 28. Pintaldi E., D’Amico M.E., Stanchi S., Catoni M., Freppaz M., Bonifacio E. 2018. Humus forms affect soil susceptibility to water erosion in the Western Italian Alps. Applied Soil Ecology, 123, 478-483.
  • 29. Putra, H.F., Aryanti N.S. 2017. March. Landscape function of post tin-mining land after reclamation in Bangka, Indonesia. In: IOP Conference Series: Earth and Environmental Science, IOP Publishing, Vol. 58, No. 1, p. 012018.
  • 30. Renschler C.S., Harbor J. 2002. Soil erosion assessment tools from point to regional scales – the role of geomorphologists in land management research and implementation. Geomorphology, 47, 189-209.
  • 31. Rousk K., Michelsen A., Rousk J. 2016. Microbial control of soil organic matter mineralization responses to labile carbon in subarctic climate change treatments. Global Change Biology, 22, 4150-4161.
  • 32. Suh J., Kim S.M., Yi H., Choi Y. 2017. An overview of GIS-based modeling and assessment of mininginduced hazards: Soil, water, and forest. International Journal of Environmental Research and Public Health, 14(12), 1463.
  • 33. Toy T.J., Foster G.R., Renard K.G. 2002. Soil erosion: processes, prediction, measurement, and control. John Wiley & Sons.
  • 34. Verstraeten G., Van Oost K., Van Rompaey A., Poesen J., Govers G. 2002. Evaluating an integrated approach to catchment management to reduce soil loss and sediment pollution through modelling. Soil Use and Management, 18, 386-394.
  • 35. Wang X., Zhao X., Zhang Z., Yi L., Zuo L., Wen Q., Liu F., Xu J., Hu S., Liu B. 2016. Assessment of soil erosion change and its relationships with land use/ cover change in China from the end of the 1980s to 2010. Catena, 137, 256-268.
  • 36. Wantzen K., Mol J. 2013. Soil erosion from agriculture and mining: a threat to tropical stream ecosystems. Agriculture, 3, 660-683.
  • 37. Yin L., Yan Q.W., Bian Z.F. 2016. Evaluation of soil erosion of Liupanshui City based orn evised Universal Soil Loss Equation (RUSLE). Journal of Ecology and Rural Environment, 3, 009.
  • 38. Zhang L., Bai K.Z., Wang M.J., Karthikeyan R. 2016. Basin-scale spatial soil erosion variability: Pingshuo opencast mine site in Shanxi Province, Loess Plateau of China. Natural Hazards, 80, 1213-1230.
  • 39. Zhang L., Wang J., Bai Z., Lv C. 2015. Effects of vegetation on runoff and soil erosion on reclaimed land in an opencast coal-mine dump in a loess area. Catena, 128, 44-53.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-72167c9d-2abf-40c8-891a-59c95ae3eeca
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