Abstract
For a country located in the equatorial region, flooding in the event of heavy rain is something that is inevitable. Malaysia is located in the equatorial region and experiences tropical climate. Kuala Lumpur, the capital city of Malaysia located in the Klang River Basin, is prone to flooding in the event of heavy rains in the catchment. Therefore, flood forecasting is a necessity, as the system helps in planning for flood events and helps to prevent loss of lives and minimise damages. Increased development in Klang Valley has resulted in the need of commercial space and housing demand in the Klang Valley. Therefore, many new areas have been developed for commercial land residential purposes. This has resulted in significant changes in land use due to the development since the past 10 years. The overall objective of the study is to enhance flood forecasting system for the provision of flood warning and emergency response with a convenient lead time. Expected outputs from the study are the incorporation of the effects of land-use change in flood model development and enhancement of the flood forecasting by using radar-based quantitative precipitation estimation (QPE).
The authors would like to thank Research Management Institute, Universiti Teknologi Mara, ERGS grants 600-RMI/ERGS 5/3 (21/2012).
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Acknowledgements
The authors gratefully acknowledge the contributions of the Department of Irrigation and Drainage (DID) and Malaysian Meteorological Department (MMD) in providing the data that have been used in this study. Appreciation also goes to the Research Management Institute, Universiti Teknologi MARA, for Exploratory Research Grant Scheme (ERGS) Grant (600-RMI/ERGS 5/3 (21/2012)) funded by the Ministry of Higher Education.
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Ramly, S., Tahir, W., Syed Yahya, S.N.H. (2015). Enhanced Flood Forecasting Based on Land-Use Change Model and Radar-Based Quantitative Precipitation Estimation. In: Abu Bakar, S., Tahir, W., Wahid, M., Mohd Nasir, S., Hassan, R. (eds) ISFRAM 2014. Springer, Singapore. https://doi.org/10.1007/978-981-287-365-1_25
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