Anggaran hasilan air tadahan Sungai Kelantan dengan menggunakan teknik penderiaan jauh
Loading...
Date
2019
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Universiti Teknologi Malaysia
Abstract
Effective water resource management is of great importance as it ensures the availability of water resource that can support the changing water requirements over the chosen planning period in a reliable and cost-effective manner. The main challenge facing water resource management today is the growing demand for clean water in Malaysia. In Kelantan, the estimated demand for clean water use is expected to increase from 450 million to 1,000 million litres by 2050 as compared to 2019. Few studies have been conducted using remote sensing technique to estimate water yield in Malaysia. The present study estimated water yield using Soil & Water Assessment Tool (SWAT) model and remote sensing technique in Kelantan River basin. Estimation of water yield using remote sensing technique was validated against the SWAT model for the years 2000 to 2014. Spatial and temporal analyses were conducted to examine the effect of land use changes on water yield estimates for 13 sub-catchments in Kelantan River Basin in 2000, 2008, and 2013. Scenarios of Representative Concentration Pathways (RCP) 2.6 and RCP 8.5 of the General Circulation Model (GCM) Model Coupled Model Intercomparison Project Phase 5 (CMIP5) were calibrated using the SWAT Model to predict the future water yield for 2015-2044 dan 2045-2074 based on the basal years from1975-2004. Results showed that the remote sensing-based water yield estimation had acceptable and satisfactory correlation coefficients of the annual and monthly scales. The annual water yield estimates from 2000 to 2014 were 1,280 ± 207.7 mm/year for SWAT model and 1,687 ± 373.9 mm/year for remote sensing technique. Changes in the land use for the years 2000, 2008, and 2013 showed that there was no significant effect on the amount of water generated. The main factors influencing remote sensing-based water yield model were the amount of rainfall and evapotranspiration. RCP 2.6 showed an increase in 16.6% water yield for 2015-2044 and 14.22% for 2045-274 while RCP 8.5 had similar increases of 26.46% for 2015-2044 and 24.36% for 2045-2074. RCP 8.5 showed a higher rise in water yield in comparison to RCP 2.6 for the years 2015-2044 and 2045-2074. Based on the findings of the study, refinement of the remote sensing-based water yield model is needed and it should take into consideration more hydrological related parameters and land use data in order to improve its efficiency.
Description
Thesis (PhD. (Remote Sensing))
Keywords
Watersheds -- Measurement