| 基于污染源反追踪的水质监测点优化选址方法 |
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| 引用本文： | 刘书明,吴雪,欧阳乐岩.基于污染源反追踪的水质监测点优化选址方法[J].同济大学学报(自然科学版),2013,41(5):742-745. |
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| 作者姓名： | 刘书明 吴雪 欧阳乐岩 |
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| 作者单位： | 清华大学环境学院,北京,100084 |
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| 基金项目： | 国家水体污染控制与治理科技重大专项，清华大学自主科研项目 |
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| 摘 要： | 采用非支配排序遗传算法,以水质监测点探测到的不同污染事件的时段区间重叠度最小化和污染事件探测概率最大化为优化目标,结合案例管网计算监测点优化选址方案.算例结果与以污染事件探测及时度最大化和探测概率最大化为目标的优化选址方案相比表明,水质监测点的污染事件探测能力和污染源位置识别能力较高.
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| 关 键 词： | 供水管网系统 水质 监测点 多目标优化 污染源位置识别 |
| 收稿时间： | 5/4/2012 12:00:00 AM |
| 修稿时间： | 2013/2/19 0:00:00 |
Investigation of optimal sensor placement based on contaminant backtracking in water distribution systems |
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| Liu Shuming,Wu Xue and Ouyang Leyan.Investigation of optimal sensor placement based on contaminant backtracking in water distribution systems[J].Journal of Tongji University(Natural Science),2013,41(5):742-745. |
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| Authors: | Liu Shuming Wu Xue and Ouyang Leyan |
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| Institution: | School of Environment, Tsinghua University, Beijing 100084, China;School of Environment, Tsinghua University, Beijing 100084, China;School of Environment, Tsinghua University, Beijing 100084, China |
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| Abstract: | Non dominated Sorting Genetic Algorithm II was used to find the Pareto front between minimum overlap of possible detection times of two events and the best probability of detection. This methodology was applied to an example network for optimizing sensor placement in water distribution systems. The solutions obtained were then compared to those optimized by taking into account the probability of detection and time into detection. Results suggest that the proposed method performs better than the benchmark method in detecting a contamination event and identifying its possible source. |
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| Keywords: | water distribution systems water quality monitors multi objective optimization source identification |
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