| 地下水污染监测网的设计研究进展 |
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| 引用本文： | 吴剑锋,郑春苗.地下水污染监测网的设计研究进展[J].地球科学进展,2004,19(3):429-436. |
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| 作者姓名： | 吴剑锋 郑春苗 |
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| 作者单位： | 1. 南京大学地球科学系,江苏,南京,210093
2. Department of Geological Sciences,University of Alabama,Tuscaloosa AL 35487,USA |
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| 基金项目： | 国家自然科学青年基金项目“遗传算法的改进及其在污染控制和治理理中的应用”(编号 :40 0 0 2 0 2 2 )资助 |
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| 摘 要： | 地下水污染监测网的设计包括取样点在空间上的采样位置和时间上的取样频率这两方面的确定，其目的是为了准确刻画污染羽在含
水层中随时间的变化状况。概要地回顾了近20年来地下水污染监测网设计的研究成果。分别介绍了统计方法、模拟方法和模拟-优化模型
等监测网设计方法的研究进展。监测网设计方法的选择取决于最终的监测目的以及可供利用的基础资料。指出参数的不确定性是影响污染监
测设计结果的最重要因素。如何将地下水污染监测网设计的理论研究真正与实际应用相结合是今后的主要研究方向。
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| 关 键 词： | 地下水污染 污染羽 监测网设计 地下水模拟 地质统计方法 模拟-优化模型 |
| 文章编号： | 1001-8166(2004)03-0429-08 |
| 修稿时间： | 2004年4月9日 |
CONTAMINANT MONITORING NETWORK DESIGN:RECENT ADVANCES AND FUTURE DIRECTIONS |
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| WU Jian-feng,ZHENG Chun-miao.CONTAMINANT MONITORING NETWORK DESIGN:RECENT ADVANCES AND FUTURE DIRECTIONS[J].Advance in Earth Sciences,2004,19(3):429-436. |
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| Authors: | WU Jian-feng ZHENG Chun-miao |
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| Institution: | 1.Department of Earth Sciences, Nanjing University, Nanjing 210093, China;2.Department of Geological Sciences, University of Alabama, Tuscaloosa AL 35487, USA |
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| Abstract: | Groundwater monitoring network design involves the determination of sampling locations and sampling frequencies to characterize the contaminant plume in an aquifer over space and time. This paper provides a retrospective overview of the considerable advances in the field of groundwater monitoring network design over the last two decades. The methods commonly applied to sampling network design for contaminant plume monitoring can be divided into three categories: statistical methods, simulation modeling, and simulation-optimization modeling. Selection of appropriate methods for monitoring network design is ultimately dependent on the objectives of the site-specific monitoring networks and the amount and type of available data. Furthermore, it is pointed out that the most important factor affecting the final outcome of monitoring network design is the uncertainty in the aquifer and contaminant properties both spatially and temporally. The future research should focus on exploring the application of groundwater network design theories to real-world monitoring sites and developing efficient and robust simulation-optimization software for contaminant plume monitoring. |
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| Keywords: | Groundwater contamination Monitoring network design Geostatistical method Groundwater modeling Simulation-optimization model |
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