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Developing a methodology for real-time trading of water withdrawal and waste load discharge permits in rivers

机译:开发一种实时交易河流取水和废物负荷排放许可证的方法

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In this paper, a new methodology is proposed for the real-time trading of water withdrawal and waste load discharge permits in agricultural areas along the rivers. Total Dissolved Solids (TDS) is chosen as an indicator of river water quality and the TDS load that agricultural water users discharge to the river are controlled by storing a part of return flows in some evaporation ponds. Available surface water withdrawal and waste load discharge permits are determined using a non-linear multi-objective optimization model. Total available permits are then fairly reallocated among agricultural water users, proportional to their arable lands. Water users can trade their water withdrawal and waste load discharge permits simultaneously, in a bilateral, step by step framework, which takes advantage of differences in their water use efficiencies and agricultural return flow rates. A trade that would take place at each time step results in either more benefit or less diverted return flow. The Nucleolus cooperative game is used to redistribute the benefits generated through trades in different time steps. The proposed methodology is applied to PayePol region in the Karkheh River catchment, southwest Iran. Predicting that 1922.7 Million Cubic Meters (MCM) of annual flow is available to agricultural lands at the beginning of the cultivation year, the real-time optimization model estimates the total annual benefit to reach 46.07 million US Dollars (USD), which requires 6.31 MCM of return flow to be diverted to the evaporation ponds. Fair reallocation of the permits, changes these values to 35.38 million USD and 13.69 MCM, respectively. Results illustrate the effectiveness of the proposed methodology in the real-time water and waste load allocation and simultaneous trading of permits.
机译:本文提出了一种新的方法,用于沿河农业地区的取水和废物负荷排放许可证的实时交易。选择总溶解固体(TDS)作为河流水质的指标,并且通过将部分回流流量存储在一些蒸发池中来控制农业用水使用者向河流排放的TDS负荷。使用非线性多目标优化模型确定可用的地表水抽取量和废物负荷排放量许可证。然后,根据农业耕地的可利用土地比例,在农业用水者之间公平地重新分配可用的总许可证。用水者可以在双边逐步框架中同时利用其取水效率和农业回水率的差异来同时交易其取水和废物负荷排放许可。在每个时间步长进行的交易都会带来更多的收益或减少的转向收益。 Nucleolus合作游戏用于重新分配在不同时间步长中通过交易产生的收益。拟议的方法应用于伊朗西南部Karkheh河流域的PayePol地区。预测在耕种之初每年可向农田提供1.927亿立方米(MCM)的年流量,实时优化模型估计总年度收益将达到4,607万美元(USD),这需要6.31 MCM回流的一部分将被转移到蒸发池。公平地重新分配许可证,将这些值分别更改为3538万美元和13.69 MCM。结果说明了该方法在实时水和废物负荷分配以及许可证同时交易中的有效性。

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