To present a comprehensive flood management plan for Malaysia, the various planning stages and the proponents of the plan. It is also to expound and highlight the…
To present a comprehensive flood management plan for Malaysia, the various planning stages and the proponents of the plan. It is also to expound and highlight the importance of spatial information technology in the strategy and to outline the critical decision‐making at various levels of the plan.
A review of flood disaster management aimed at providing an insight into the strategies for a comprehensive flood disaster management for Malaysia. Discussion of the framework of a spatial decision support system (SDSS) and its role in decision‐making in a comprehensive disaster management plan.
Provides information about a proposed comprehensive disaster management program for Malaysia and highlight the role of SDSS in improving decision‐making. It recognizes the strength of SDSS in the collection and processing of information to speed up communication between the proponents of the disaster management program. A well‐design SDSS for flood disaster management should present a balance among capabilities of dialog, data and modeling.
The study has outlined the links and components of SDSS and not its development processes; this may limit the used of this paper in in‐depth study of the development if SDSS. Some source for detail study of the development of SDSS have, however, been cited.
This paper is a very useful source of information about the preparation of a comprehensive disaster management program. It also sheds light on the role of SDSS in improving and speeding up communication between the various proponents of the program. Researcher and students will fine, it provides general guidelines and framework for disaster planning and management.
This paper fulfills flood disaster study need for developing a comprehensive disaster management program. It presents the framework of SDSS, the interrelationship between their various components and how they play a role in decision‐making.
Malaysia experiences a major flood event every three years due to the adverse effects of two monsoon seasons a year. Floods have thus become the most significant natural…
Malaysia experiences a major flood event every three years due to the adverse effects of two monsoon seasons a year. Floods have thus become the most significant natural disaster in the country in terms of the population affected, frequency, aerial extent, financial cost and the disruption to socio‐economic activities. Many previous flood control measures have had different levels of success but have generally had little effect in reducing the problem. However, it is now understood that it is neither possible nor desirable to control floods completely. Spatial information technology is thus being increasingly recognized as the most effective approach to flood disaster management. This paper reviews the spatial information technology in flood disaster management and its application in Malaysia. Some flood forecasting systems are discussed, along with their shortcomings. The paper discusses the framework of a proposed flood early warning system for the Langat river basin that operationally couples real‐time NOAA‐AVHRR data for quantitative precipitation forecasting with hydrologically oriented GIS and a MIKE11 hydrodynamic model.
This study integrates high spatial resolution remote sensor data with geographic information system (GIS) data and multi‐criteria analysis to develop a methodology to…
This study integrates high spatial resolution remote sensor data with geographic information system (GIS) data and multi‐criteria analysis to develop a methodology to model disaster risk for flood risk management and in peat swamp forest fires in order to assist in providing decision support systems for emergency operations and disaster prevention. Landslides are the result of a wide variety of processes, including geological, geomorphological and meteorological factors. Spatial technology has the ability to assess and estimate regions of landslide hazard by creating thematic maps and overlapping them to produce a final hazard map which classifies regions according to three categories of risk.