Open AccessPrediction of Surface Runoff Changes with Landuse-Land Cover Impact Using Remote Sensing Data and GIS Based ARcSWAT Model of Indrayani Watershed, Maharashtra, India
Author(s) -
Narasayya Kamuju
Publication year - 2019
Publication title -
international journal of scientific research in computer science, engineering and information technology
Language(s) - English
Resource type - Journals
ISSN - 2456-3307
DOI - 10.32628/cseit19564
Subject(s) - surface runoff , watershed , hydrology (agriculture) , environmental science , runoff curve number , land cover , soil and water assessment tool , swat model , land use , precipitation , vflo , drainage basin , runoff model , streamflow , geology , geography , meteorology , cartography , ecology , civil engineering , geotechnical engineering , machine learning , computer science , engineering , biology
Modern Mathematical Models have been developed for studying the complex hydrological processes of a watershed and their direct relation to weather, topography, geology and land use. In this study the hydrology of Indrayani watershed located in Indrayani River basin at the North-East of Pune is modelled, using the Soil and water Assessment Tool (SWAT). It aims to simulate the surface runoff using a Temporal resolution of 10 years LandUse-LandCover (Lu-Lc) maps of 2003-04 and 2013-14. The ArcSWAT interface implemented in the ArcGIS software was used to delineate the study area and its sub-components, combine the data layers and edit the model database. The ArcSWAT model predicted Indrayani watershed hydrologic component of Surface Runoff with weather components of precipitation and temperature of 25 years along with Food and Agriculture Organisation soil layer. The SWAT model run in 2 Phases with Lu-Lc of 2003-04 as Phase-I and also model run using 2013-14 Lu-Lc as phase-II. The runoff predicted within a 10 year temporal changes of Lu-Lc, 919 mm of Surface Runoff obtained with Lu-Lc of 2003-04 and 767 mm of Surface Runoff predicted from 2013-14 Lu-Lc map layer respectively. The higher runoff predicted with Lu-Lc 2003-04, as such it has higher area of Agricultural land with lower urban area covered and less water bodies than 2013-14 Landuse-Lancover classes.