Mixed Integer Linear Programming (MILP) Approach to Deal with Spatio-temporal Water Allocation☆
Mixed Integer Linear Programming (MILP) Approach to Deal with Spatio-temporal Water Allocation☆
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DOI：
10.1016/j.proeng.2016.11.045
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发表时间：
2016
期刊：
影响因子：
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通讯作者：
Jaime Veintimilla-Reyes;D. Cattrysse;A. Meyer;J. Orshoven
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文献类型：
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作者：
Jaime Veintimilla-Reyes;D. Cattrysse;A. Meyer;J. Orshoven
数量和质量充足的水对于家庭使用、灌溉农业、水力发电和生态系统功能等多种用途是不可或缺的。然而，在世界许多地区，可用水量有限，甚至在下降。此外，水资源的可获得性在空间和时间上是可变的，与用水者的时空利用模式不匹配。为了克服可用性和消耗之间的时间差异，建造了水库。监测和预测水库中的可用水量、消费者的需求以及整个配水系统的损失是为不同消费者公平分配可用水的必要要求。在本文中，水分配问题被视为网络流量优化问题（NFOP），需要使用混合整数线性规划（MILP）技术通过时空优化方法来解决。
Water of sufficient quantity and quality is indispensable for multiple purposes like domestic use, irrigated agriculture, hydropower generation and ecosystem functioning. However, in many regions of the world water availability is limited and even declining. Moreover, water availability is variable in space and time so that it does not match with the spatio-temporal use pattern of the water consumers. To overcome the temporal discrepancy between availability and consumption, reservoirs are constructed. Monitoring and predicting the water available in the reservoirs, the needs of the consumers and the losses throughout the water distribution system are necessary requirements to fairly allocate the available water for the different consumers. In this article, the water allocation problem is considered as a Network Flow Optimization Problem (NFOP) to be solved by a spatio-temporal optimization approach using Mixed Integer Linear Programming (MILP) techniques.