Title: Comparison of infiltration model parameter estimation techniques under different land use/land covers
Authors: Tabasum Rasool; Abdul Qayoom Dar; Mushtaq Ahmad Wani
Addresses: Department of Civil Engineering, National Institute of Technology, Srinagar, J&K, 190006, India ' Department of Civil Engineering, National Institute of Technology, Srinagar, J&K, 190006, India ' HMAARI, Leh, Ladakh, J&K, 194101, India
Abstract: Quantification of infiltration rate of the soil is a complex problem because of its variability, selection of suitable infiltration model, and determination of infiltration model parameters which depend on various soil characteristics and land use/land cover. This study compares three parameter-estimation techniques viz. conventional graphical method, generalised reduced gradient (GRG) optimisation and Levenberg-Marquardt algorithm (LMA) for estimation of infiltration model parameters of Horton, Kostiakov, modified Kostiakov and Philip, and select the best fit method. Infiltration experiments were conducted to measure infiltration rate on three different land covers viz. farmland, built-up and shrubland under the soil textures of clay and sandy clay in an urban sub-basin of lesser Himalayas, India. The performance was assessed by computing different statistical indicators, and an overall performance index was computed to rank the techniques. From the comparative analysis, it was observed that LMA is the most suitable technique to ascertain the parameters of selected infiltration models.
Keywords: infiltration models; optimisation; geographic information system; multiple linear regression; Levenberg-Marquardt algorithm; LMA.
International Journal of Hydrology Science and Technology, 2021 Vol.12 No.4, pp.448 - 476
Received: 25 Mar 2020
Accepted: 01 Jun 2020
Published online: 20 Oct 2021 *