title: Identification of effective best management practices in sediment yield diminution using GeoWEPP: the Kasilian watershed case study.
abstract: Identifying areas that are susceptible to soil erosion is crucial for water resource planning and management efforts. Furthermore, modeling has proven helpful in recognizing and monitoring high-risk areas at the watershed scale. The Water Erosion Prediction Project (WEPP) geospatial interface (GeoWEPP) software integrates GIS with the WEPP to analyze the spatial variation in soil loss, and it has been used as a modeling tool to determine the areas that are most prone to soil erosion and to evaluate best management practices for the Kasilian watershed in Iran. As much as 62.4% of the agronomic land in the Kasilian watershed is affected by a high magnitude of erosion (>5 t/ha). On the basis of this study, by using soybeans, high fertilization levels, and the drill-no-tillage system, reductions of erosion by almost 32.68-34.02% are perceivable in three critical subwatersheds that are located in the cultivated lands. Also, it is projected that reductions in the production of sediment in the range of about 36.7-47.1% are achievable by structural management within two critical, upland subwatersheds. So, by utilizing the best management strategies, sediment yield can be lowered and the conservation of soil and water is feasible at the watershed scale. These results objectively indicate that GeoWEPP can be efficaciously used for evaluating effective management practices for developing watershed conservation.
authors.affiliation: Department of Technical and Engineering, Science and Research Branch, Islamic Azad University, Tehran, Islamic Republic of Iran, Ameghdadi5@gmail.com.
authors.forename: Amin
authors.initials: A
authors.lastname: Reza Meghdadi
mesh_terms: D000383:Agriculture / Q000706:statistics & numerical data; D003247:Conservation of Natural Resources / Q000379:methods*; D004784:Environmental Monitoring; D005544:Forecasting; D040362:Geographic Information Systems; D019015:Geologic Sediments / Q000032:analysis* / Q000737:chemistry; D055593:Geological Phenomena; D007492:Iran; D045483:Rivers / Q000737:chemistry*; D012984:Software; D014873:Water Pollutants / Q000032:analysis; D014876:Water Pollution / Q000706:statistics & numerical data; D014881:Water Supply / Q000706:statistics & numerical data*
chemical_list: D014873:Water Pollutants