Geographic information system and process-based modeling of soil erosion and sediment yield in agricultural watershed
BACKGROUND AND OBJECTIVES: The study explored the capability of the geographic information system interface for the water erosion prediction project, a process-based model, to predict and visualize the specific location of soil erosion and sediment yield from the agricultural watershed of Taganibong. METHODS: The method involved the preparation of the four input files corresponding to climate, slope, land management, and soil properties. Climate file processing was through the use of a breakpoint climate data generator. The team had calibrated and validated the model using the observed data from the three monitoring sites. FINDINGS: Model evaluation showed a statistically acceptable performance with coefficient of determination values of 0.64 (probability value = 0.042), 0.85 (probability value = 0.000), and 0.69 (probability value = 0.001) at 95% level, for monitoring sites 1, 2, and 3, respectively. A further test revealed a statistically satisfactory model performance with root mean square error-observations standard deviation ratio, Nash-Sutcliffe efficiency, and percent bias of 0.62, 0.61, and 44.30, respectively, for monitoring site 1; 0.65, 0.56, and 25.60, respectively, for monitoring site 2; and 0.60, 0.65, and 27.90, respectively, for monitoring site 3. At a watershed scale, the model predicted the erosion and sediment yield at 89 tons per hectare per year and 22 tons per hectare per year, respectively, which are far beyond the erosion tolerance of 10 tons per hectare per year. The sediment delivery ratio of 0.20 accounts for a total of 126,390 tons of sediments that accumulated downstream in a year. CONCLUSION: The model generated maps that visualize a site-specific hillslope, which is the source of erosion and sedimentation. The study enables the researchers to provide information helpful in the formulation of a sound policy statement for sustainable soil management in the agricultural watershed of Taganibong.
Soil erosion and sediment mapping in Aidoghmoush watershed appling MPSIAC model and GIS and RS technologies
Soil erosion is one of the important and worldwide environmental and economic issues. High amount of sediments accumulations behind the different structures such as dams requires several attempts to minimize their potential risks. Therefore, some quantified data will be needed in order to recognize those critical areas which requires urgent conservation. Since conventional procedures are time c...متن کامل
Ecological Potential assessment of soil in agricultural lands in Hamedan Province, Iran, using geographic information system
The main purpose of the present study was to assess the ecological capability of agricultural soils using geographic information system (GIS). This research was conducted during 2014 in Hamedan Province, Iran. A cross-sectional study was conducted mapping the 10 factors of soil characteristics (texture, depth, erosion, and aggregation, percentage of slope, direction of slope, height, soil salin...متن کامل
Evaluation of soil erosion and sediment yield estimation various empirical model by observation values (Case study: Babolroud watershed, Mazandaran Provienc)
In this study where done in Babolroud basin, seven models include MPSIAC, EPM, Fournier, Douglas, Kirkby, Geomorphology and Hydrophysical was evaluated to determine the best model for estimation of soil erosion and sediment yield. These models have not been compared together as integrated in the previous researches. The zoning soil erosion intensity map was prepared for each model using GIS. T...متن کامل
Vulnerability Assessment of Soil Erosion/Deposition in a Himalayan Watershed using a Remote Sensing and GIS Based Sediment Yield Model
1 National Institute of Hydrology, Roorkee-247 667, Uttarakhand, India 2 Department of Hydrology, Indian Institute of Technology-Roorkee, Roorkee-247 667, Uttarakhand, India 3 Center for Remote Sensing and Geo-Informatics, Sathyabhama University, Chennai-600 119, India 4 Indian Institute of Remote Sensing, ISRO, Dehradun-248 001, Uttarakahnd, India 5 Department of Water Resources Development an...متن کامل
A Geographical Information System (GIS) based method is proposed and demonstrated for the identification of sediment source areas and the prediction of storm sediment yield from catchments. Data from the Nagwa and Karso catchments in Bihar (India) have been used. The Integrated Land and Water Information System (ILWIS) GIS package has been used for carrying out geographic analyses. An Earth Res...متن کامل
دوره 7 شماره 1
صفحات 1- 14
تاریخ انتشار 2021-01-01
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