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Type :article
Subject :Q Science (General)
ISSN :2214-5818
Main Author :Tan, Mou Leong
Additional Authors :Shazlyn Milleana Shaharudin
Title :Improvement of the ESA CCI land cover maps for water balance analysis in tropical regions: a case study in the Muda River Basin, Malaysia
Place of Production :Tanjung Malim
Publisher :Fakulti Sains dan Matematik
Year of Publication :2021
Notes :Journal of Hydrology: Regional Studies
Corporate Name :Universiti Pendidikan Sultan Idris
Web Link :Click to view web link
PDF Full Text :Login required to access this item.

Abstract : Universiti Pendidikan Sultan Idris
Study region: The Muda River Basin (MRB), Malaysia. Study Focus: This study proposed a framework to improve the European Space Agency Climate Change Initiative Land Cover (ESA CCI LC) products through the integration with the Annual Oil Palm Dataset (AOPD). The improved land use land cover (LULC) maps were then used to produce five LULC scenarios as input maps into the Soil and Water Assessment Tool (SWAT) model for analyzing the impact of LULC changes on water balance in the MRB. New hydrological insights for the region: The improved LULC maps have good performance in representing rubber and oil palm, with an overall accuracy up to 81 %. In addition, SWAT simulated monthly streamflow well for the MRB, with the highest R2 and NSE values of 0.84 and 0.86, respectively. During the 2001?2016 period, the MRB experienced an expansion of oil palm from 7.10%?17.36 %, a reduction of rubber from 34.93 % to 26.38 % and a slight decrease in forest from 54.23%?52.80 %. The urban expansion scenario showed significant increment in surface runoff, while the reforestation scenario helped to reduce surface runoff, while increase lateral flow and groundwater. Oil palm expansion led to a higher reduction in lateral flow and groundwater than rubber trees due to the higher soil water absorption rate. The proposed framework can be duplicated and applied in other tropical basins, particularly in Indonesia and Malaysia. ? 2021 The Author(s)

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