Assessing the Impact of Land-Use Dynamics to Predict the Changes in Hydrological Variables Using Effective Impervious Area (EIA)

Akanksha Balha, Amit Singh, Suneel Pandey, Reetesh Kumar, Javed Mallick and Chander Kumar Singh ()
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Akanksha Balha: TERI School of Advanced Studies
Amit Singh: TERI School of Advanced Studies
Suneel Pandey: The Energy and Resource Institute (TERI)
Reetesh Kumar: GLA University
Javed Mallick: King Khalid University
Chander Kumar Singh: TERI School of Advanced Studies

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2023, vol. 37, issue 10, No 11, 3999-4014

Abstract: Abstract The present research examines the hydrological impacts of historical and future land use land cover (LULC) in a part of the Yamuna River basin. The GIS-Curve Number (CN) approach for calculating effective impervious area (EIA) for larger ungauged basins is evaluated and validated with the directly connected impervious area (DCIA) measured using spatial data. Soil and Water Assessment Tool (SWAT) has been used at daily intervals to simulate hydrological responses in different land-use scenarios (years 2005, 2010, 2016, and predicted 2031). The model sensitivity analysis yields SCS runoff curve number (CN2) and effective hydraulic conductivity in the main channel (CH_K2) as the most sensitive parameter. The model reaffirmed that EIA is preferable to Total Impervious Area (TIA) in runoff calculation. The observed and simulated discharge matched with each other during calibration as well as validation (R2 ≥ 0.85, NSE ≥ 0.83, and PBIAS

Keywords: Runoff; SWAT; Effective impervious area; Directly connected impervious area; Urbanizing sub-basin (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s11269-023-03536-7

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