标题： 流域系统中地下水补给与地表径流管理的多目标水资源配置优化 显示英文标题

标题： Multi-Objective Optimization of Water Resource Allocation for Groundwater Recharge and Surface Runoff Management in Watershed Systems

摘要： 土地退化和空气污染主要是由于土壤盐碱化和沙漠化，这源于盐湖干涸以及由于其干涸底部释放到大气中的尘埃。 湖泊的完全干涸已经导致了一个社区环境灾难。 在本研究中，我们提出一个优化问题，以确定维持盐湖（乌尔米亚湖）水位的总地表径流量。 所提出的流程有两个关键阶段：使用基于历史数据的敏感性分析方法来确定影响湖水位的因素，并在变化的设计变量下优化有效变量以稳定湖水位。 基于Sobol'-Jansen和Morris技术，地下水位和总地表径流量对湖水位有显著的非线性和相互作用影响。 由于敏感性分析，我们发现通过调整总地表径流量可能有效管理湖水位。 我们使用了遗传算法、非线性优化和模式搜索技术来解决优化问题。 此外，湖水位约束是根据每月固定数值的模式建立的。 为了保持湖水位的一致模式，在补水季节需要将地表径流增加约8.7倍。 在排水季节，需要将此数量增加33.5倍。 在未来，这些结果可能作为湖泊恢复的指导。 显示英文摘要

摘要： Land degradation and air pollution are primarily caused by the salinization of soil and desertification that occurs from the drying of salinity lakes and the release of dust into the atmosphere because of their dried bottom. The complete drying up of a lake has caused a community environmental catastrophe. In this study, we presented an optimization problem to determine the total surface runoff to maintain the level of salinity lake (Urmia Lake). The proposed process has two key stages: identifying the influential factors in determining the lake water level using sensitivity analysis approaches based upon historical data and optimizing the effective variable to stabilize the lake water level under changing design variables. Based upon the Sobol'-Jansen and Morris techniques, the groundwater level and total surface runoff flow are highly effective with nonlinear and interacting impacts of the lake water level. As a result of the sensitivity analysis, we found that it may be possible to effectively manage lake levels by adjusting total surface runoff. We used genetic algorithms, non-linear optimization, and pattern search techniques to solve the optimization problem. Furthermore, the lake level constraint is established based on a pattern as a constant number every month. In order to maintain a consistent pattern of lake levels, it is necessary to increase surface runoff by approximately 8.7 times during filling season. It is necessary to increase this quantity by 33.5 times during the draining season. In the future, the results may serve as a guide for the rehabilitation of the lake.