Open Access

Downloads

Download data is not yet available.

Abstract

Water scarcity is an ongoing reality in many river basins due to the need for increasingly water use associated with water pollution and climate change. Faced with this situation, it is necessary to know the true value of scarce water resources to contribute to effective water allocation. In this paper, a model to optimize the allocation of water resources with the constraints in terms of hydrology has developed based on the principle of balance in marginal net benefits of water use across sectors, and test applied to solve the optimal water sources allocation in the downstream area of the Dong Nai river system basin with many different water scarcity scenarios. The results show that the model allows simulating relatively good optimized water allocation for the competitive water use demands in the cases of shortage of water, and also allows determining the balanced margin net values/ benefits of raw water corresponding to the different levels of water shortage.



Author's Affiliation
Article Details

Issue: Vol 15 No 4 (2012)
Page No.: 87-101
Published: Dec 30, 2012
Section: Sciences of Earth and Environment - Research article
DOI: https://doi.org/10.32508/stdj.v15i4.1826

 Copyright Info

Creative Commons License

Copyright: The Authors. This is an open access article distributed under the terms of the Creative Commons Attribution License CC-BY 4.0., which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

 How to Cite
Nguyen, H. (2012). VALUATION OF WATER AND SCARCE WATER RESOURCES OPTIMAL ALLOCATION AT THE RIVER BASIN LEVEL A CASE STUDY IN DOWNSTREAM AREA OF THE DONG NAI RIVER SYSTEM BASIN. Science and Technology Development Journal, 15(4), 87-101. https://doi.org/https://doi.org/10.32508/stdj.v15i4.1826

 Cited by



Article level Metrics by Paperbuzz/Impactstory
Article level Metrics by Altmetrics

 Article Statistics
HTML = 1402 times
Download PDF   = 606 times
Total   = 606 times