Author(s): Watin Thanathanphon; Sathit Chantip; Apimook Mooktaree; Theerapol Charoensuk; Narongrit Luangdilok; Ticha Lolupiman; Piyamarn Sisomphon
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Keywords: Modeling; Flood; Drought; Decision support; Water management
Abstract: Thailand has frequently suffered from flood and drought disasters from the past history till present. The records have shown clearly the impact of climate change on the increasing of natural disasters and their intensity. Severe flooding caused by from high intensity of rainfall and worsen by rapid changes in land use and urbanization in the floodplain. During the dry season, many areas that affected by flood also suffer from serious lack of water. Furthermore, reduction in upstream discharge during low flow season has caused salinity intrusion problem in downstream area. This has some impacts on water quality for agriculture and raw water supply for public waterworks. The complexity of water issues within river basins can be considered in different scales from the very small local scale to regional scale. It is a challenge to solve water issues in an efficient way. Nowadays the availability of real-time hydrological and meteorological stations provides the very helpful data for water situation monitoring. Remote sensing technology such as weather radar and satellite becomes very important source that can provide good data quality both in space and time. Especially with its intense spatial coverage and resolution it can be fulfilled in the area that ground station is not available. Moreover, the advances in mathematical modeling and computer technology provide a strong platform to develop the decision support system (DSS) for water management. This paper introduces the development of integration platform for real-time data, rainfall forecast, hydrological, hydrodynamic and inundation models and presents its application in water management from basin scale to urban scale. The development includes the quality control and visualization system to increase the efficiency of the decision support system.
Year: 2018