Title: Calibrating APEX model for predicting surface runoff and sediment loss in a watershed - a case study in Shivalik region of India
Authors: Anu David Raj; Suresh Kumar; Mary Regina; K.R. Sooryamol; Abhisek Kumar Singh
Addresses: College of Climate Change and Environmental Science (CCCES), Kerala Agricultural University, Thrissur, Kerala, India ' Agriculture and Soils Department, Indian Institute of Remote Sensing, Dehradun, Uttarakhand, India ' College of Agriculture, Kerala Agricultural University, Thrissur, Kerala, India ' College of Climate Change and Environmental Science (CCCES), Kerala Agricultural University, Thrissur, Kerala, India ' Agriculture and Soils Department, Indian Institute of Remote Sensing, Dehradun, Uttarakhand, India
Abstract: The process-based model needs to be calibrated before its applications to derive a reliable estimate. A process-based agricultural policy/environmental eXtender (APEX) model was utilised to assess surface runoff and soil loss of a micro-watershed belongs to the Shivalik region of Himachal Pradesh, India. The model was performed exceptionally well for surface runoff (r2 - 0.81) and sediment yield (r2 - 0.81) with the Nash- Sutcliffe Efficiency assessments of 0.71 for surface runoff and 0.70 for sediment yield. The average annual soil loss is 23.42 t ha-1yr-1 from the watershed. The study revealed that the soil erosion in the Shivalik region increases and identified scrubland as the significant source for generating soil erosion in the watershed. Also, the APEX model could predict surface runoff and soil loss in the Shivalik region. The comprehensive information generated from the study will help to generate a sustainable land use plan in the Shivalik region.
Keywords: surface runoff; sediment yield; soil erosion; ArcAPEX; process-based model; Shivalik Himalayan region; India.
DOI: 10.1504/IJHST.2023.128719
International Journal of Hydrology Science and Technology, 2023 Vol.15 No.2, pp.177 - 206
Received: 18 Aug 2020
Accepted: 23 Jul 2021
Published online: 02 Feb 2023 *