Remote sensing entropy to assess the sustainability of rainfall in tropical catchment

3rd International Conference on Research Methodology for Built Environment and Engineering 2017

生态环境科学

Mahmud, M.R.^1,2 ; Reba, M.N.M.^1,2 ; Wei, J.S.^1,2 ; Abdul Razak, N.H.^2

Geoscience and Digital Earth Centre, Research Institute for Sustainable Environment, Faculty of GeoinformatIon and Real Estate, Universiti Teknologi Malaysia, Skudai, Johor Bharu

81310, Malaysia^1

Department of Geoinformation, Faculty of GeoinformatIon and Real Estate, Universiti Teknologi Malaysia, Skudai, Johor Bharu

81310, Malaysia^2

关键词: Drought conditions;    Entropy concept;    Operational sustainability;    Precipitation data;    Rainfall patterns;    Remote sensing data;    Satellite precipitation;    Satellite remote sensing;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/117/1/012023/pdf
DOI  :  10.1088/1755-1315/117/1/012023

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

This study demonstrated the utility of entropy computation using the satellite precipitation remote sensing data to assess the sustainability of rainfall in tropical catchments. There were two major issues need to be anticipated in monitoring the tropical catchments; first is the frequent monitoring of the rainfall and second is the appropriate indicator that sensitive to rainfall pattern changes or disorder. For the first issue, the use of satellite remote sensing precipitation data is suggested. Meanwhile for the second issue, the utilization of entropy concept in interpreting the disorder of temporal rainfall can be used to assess the sustain ability had been successfully adopted in some studies. Therefore, we hypothesized that the use of satellite precipitation as main data to compute entropy can be a novel tool in anticipating the above-mentioned conflict earlier. The remote sensing entropy results and in-situ river level showed good agreement indicating its reliability. 72% of the catchment has moderate to good rainfall supply during normal or non-drought condition. However, our result showed that the catchments were highly sensitive to drought especially in the west coast and southern part of the Peninsular Malaysia. High resiliency was identified in the east coast. We summarized that the proposed entropy-quantity scheme was a useful tool for cost-effective, quick, and operational sustainability assessment This study demonstrated the utility of entropy computation using the satellite precipitation remote sensing data to assess the sustainability of rainfall in tropical catchments.