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This paper proposes a decision support system (DSS) for long‐term investment planning of water resources infrastructure taking into account the uncertainty inherent in budget availability. The DSS adopts integer goal programming (IGP) to first select the projects that best contribute to the social, economic, and environmental goals of the project areas. Stochastic programming (SP) then selects the budget level that has the highest expected returns for all possible states of the system. The developed DSS recommended planning for a high budget level in the Chiang Mai case study area, which is consistent with the level of funding that was allocated and distributed over the 25‐year analysis period. Uncertainty in cost estimation was also found to play a major role in project selection.

Modeling at the basin scale provides essential information to policy makers in their decisions on allocation of water resources in the basin. This paper describes the application of a basin scale simulation model, Mike Basin, to the Mun river basin located in northeastern Thailand. Monthly simulation was carried out based on the water availability and utilization using hydrological data from 1965 through 1997. Climatic analysis found high seasonal variation: wet season water availability is more than six times dry season availability. Event-based reliability calculations of irrigation and water supply systems of the basin indicated that the existing level of demand has reasonable wet season water availability, but limited dry season availability. Moreover, sensitivity analysis found 80 percent reliable cropping intensity in wet season and only 12 percent in dry season. A proper management approach developed from this analysis may provide a basis for a decision for policy makers in relation to the...

A methodology is presented for the assessment of water resources and salinity intrusion in the Mekong Delta in Vietnam. The flow and water salinity at different locations in the river network have been dynamically assessed by the developed three-step approach in which the hydrodynamic, advection-dispersion models, harmonic analysis, and regression techniques have been employed in the development of the relationships between the boundary conditions (upstream inflows and tides at river mouths) and the harmonic constituents of flow and water salinity. These relationships were subsequently used to determine the parameter values of harmonic constituents of flow and water salinity at specific locations under various hydrologic conditions and water allocation alternatives as needed for water management purpose. With known harmonic parameters, the flow and water salinity at the locations can be predicted by a harmonic analysis method and the river water available for agricultural use can then be determin...