Runoff and Sediment Yield Prediction Using Agriculture Non-Point Source (AGNPS) Model in Ata-Gad Watershed, Uttarakhand, India

Deepa Naik, Pramod Kumar, Aniruddha Deshmukh, (doi: 10.23953/cloud.ijarsg.346)

Abstract


The present study was undertaken to predict the runoff and sediment loss from Ata-gad watershed, Chamoli district, Uttarakhand, India. The land use/land cover (LULC) map was prepared using IRS-P6 LISS-III data. Digital Elevation Model (DEM) from ASTER and soil information from Soil and Land Use Survey of India (SLUSI) was used for runoff and sediment yield prediction. It was observed that large part of the watershed is forested (71.9%) and agricultural activity is ongoing in lower reaches of the valley (18%). The watershed area is mostly under moderately steep (15-35%) to very steep slope (50-75%). LULC, Soil, DEM and other inputs were fed into Agriculture Non-point Source (AGNPS) model through AGNPS Data Generator (ADGen) interface of image processing software. The AGNPS model helps to visualize the effect of slope, rainfall, LULC, etc. on runoff and sedimentation characteristics of a watershed. It was observed that nearly fifty percent area of the watershed produced 2.54 cm of runoff corresponding to 17.8 cm of rainfall. As large part of the watershed is under forest and consequently 64.24% of its area produced less than 1.42 cumec and only 0.11% of the area showed more than 49.55 cumec of peak runoff. Twenty-one percent area of the watershed is having steep slope (slope>75%) and showed the maximum rate of erosion as 48.67 tons/ha. Erosional characteristics vis-à-vis other properties of the landscape were also analyzed. It was also observed that with the increase in slope, though the soil erosion has increased but the slope factor solely does not affect erosional characteristics.

Keywords


AGNPS; GIS; Remote sensing; Runoff; Soil erosion

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