Abstract
A major objective of the optimization of water resources allocation is to ensure the supply an adequate amount of water to users at the right time and maximize the utilization of water resources. However, in case of insufficient water supply, water shortage is likely to occur intensively for specific water users or in specific periods, referred to as a “concentrated water shortage”. The risk of a concentrated water shortage should be shared across a wider range of users and periods, so that it would have a less severe impact on each calculation unit in each period, which we refer to as the “wide-mild water shortage”. In this study, the nonlinear weight of the water supply objective function can be converted into a piecewise linear weight based on the law of diminishing marginal utility, making it possible to reduce or even eliminate the concentrated water shortage and thus making the allocation of water resources more reasonable. The case study in the Nen River basin in northeast China shows that the improved method results in a significant increase in water shortage units but a significant reduction in water shortage range. As a consequence, water shortage is more uniformly distributed from April to June, which contributes to solving the concentrated water shortage problem in May. However, it should be noted that to what extent the wide-mild water shortage can be realized depends not only on the marginal utility of water demand, but also on the available water supply and the regulative capacity of water supply projects. In spite of this, the improved method enables water to be supplied more suitably for users at the appropriate time, which contributes to improving the utilization of water resources and helping decision-makers better address the problem of concentrated water shortage.
Highlights
Rapid industrialization and urbanization in China have led to a growing demand for water resources for domestic, agricultural, industrial, and ecological purposes in recent years, making the optimal allocation of water resources an important, challenging task
Dynamic programming may suffer from the curse of dimensionality in solving complex water resources allocation problems in which the storage demands and complexity costs grow exponentially with the dimension of the state space
Shortage” perspective is proposed basedbased on theon lawthe of law of. In this Instudy, the “wide-mild water perspective is proposed diminishing marginal utility in order to solve the problem of concentrated water shortage
Summary
Rapid industrialization and urbanization in China have led to a growing demand for water resources for domestic, agricultural, industrial, and ecological purposes in recent years, making the optimal allocation of water resources an important, challenging task. Water 2018, 10, 1289 medium- and long-term water resource allocation include dynamic programming, linear programming, and nonlinear programming [2,3]. Dynamic programming may suffer from the curse of dimensionality in solving complex water resources allocation problems in which the storage demands and complexity costs grow exponentially with the dimension of the state space. It is important to note that nonlinear programming may not always converge on the global optimal solution. Linear programming has the advantages of easy modeling, easy availability of necessary parameters, and convergence to the global optimal solution. Linear programming is preferred to solve medium- and long-term water resource allocation problems [7,8,9,10,11,12,13,14,15]
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