n Malaysia, major floods usually occur during the northeast monsoon i.e. from November till January due to continuous heavy rainfall. The largest flood on record occurred in 1926 and was followed by recurrence of severe floods as in 1931, 1947, 1954, 1957, 1967, 1971 and 1992. As much as 9% of the land areas in Malaysia, to above 29,000 sq. km are flood prone. Flood victims are estimated to be high as 2.7 million people. Large floods had damaged properties, public utilities, cultivation, and loss of lives and also caused hindrance to social and economic activities. Average annual flood damage were estimated to be above RM100 million. The increasing need for storage is widely acknowledged and is the result of increasing water demands, changes in land use, runoff and the impact of changes in climate variability. It is not yet clear to what extent each of these factors contributed to the future storage needs at a certain location. Some regions had received more rainfall (3000mm/year) as a result of changes in climate variability, but this may still lead to an increase in storage requirements if this rainfall occurred at higher intensities and in shorter periods.
The study begins with the characterization of the hydrogeology of the area as well as hydrogeologic data compilation and analysis together with additional field data survey. Groundwater abstraction rates are assessed from groundwater balance calculation. The required data are used to set up the groundwater flow conceptual model.
Simulations were firstly carried out to calibrate the calculated parameters with observed field data collected in 2006.
The purpose of this Study was to gain an overall understanding of the natural recharging processes that were involved during the natural Recharging mechanisms in the Langat Basin within the scope of Natural Recharging and Aquifer Storage and Recovery.
Natural Aquifer Recharging (NAR) in the Langat Basins was found to fluctuate in response to seasonal and long-term climatic effects (JICA, 2002). Depending on the water budget component, and on this study we Determine the relationship between the volumes of water storage in the aquifers and the Natural Recharging volume. And to enable system operators to predict the volume of recoverable water from an Aquifer Storage and Recovery (ASR) well system and this could be applied within the concept of hydrological advanced water budget model. The data collected from many resources to help authorities make decisions and to help predict the change in storage in the wetlands, aquifers, and for each well when to stop recovering water.