中国环境科学
 
 
中国环境科学  2018, Vol. 38 Issue (9): 3421-3428    DOI:
水污染与控制 最新目录| 下期目录| 过刊浏览| 高级检索 |
基于随机模拟的地下水污染物最优水力截获量
付晓刚1,2, 唐仲华1, 吕文斌3, 王小明2, 闫佰忠2
1. 中国地质大学环境学院, 湖北 武汉 430074;
2. 河北地质大学, 河北省水资源可持续利用与开发重点实验室, 河北省水资源可持续利用与产业结构优化协同创新中心, 河北 石家庄 050031;
3. 河北省地矿局第三水文工程地质大队, 河北 衡水 053000
Optimal pumpage to purify contaminative groundwater based on stochastic simulation
FU Xiao-gang1,2, TANG Zhong-hua1, LÜ Wen-bin3, WANG Xiao-ming2, YAN Bai-zhong2
1. School of Environmental Studies, China University of Geoscience, Wuhan 430074, China;
2. Key Laboratory of Sustained Development and Utilization of Water Resources, Hebei Province Collaborative Innovation Center for Sustainable Utilization of Water Resources and Optimization of Industrial Structure, Hebei GEO University, Shijiazhuang 050031, China;
3. Third Hydrogeological Engineering Team of Hebei Provincial Geological and Mining Burea, Hengshui 053000, China

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摘要 

水力截获技术是净化或抑制地下水污染最为广泛使用的一种方法,而该技术实施过程中,如何确定最优水力截获量是其需要重点解决的关键问题.本文针对传统确定性方法计算最优水力截获量不合理的问题,从水文地质参数的随机性出发,应用基于随机理论的蒙特卡罗方法,通过实例来研究渗透系数的空间变异性对地下水污染物水力截获系统的影响,并寻求估算最优水力截获量的新方法.通过研究表明:基于确定性方法计算出最优水力截获量为110m3/d时恰好能完全截获污染区的污染物;应用随机模拟研究含水层渗透系数的空间变异性对水力截获系统的影响,发现当以传统确定性方法所计算的最优水力截获量(110m3/d)抽水时,并不能总是完全截获地下水污染物,其面临的稳定平均风险率高达24%;充分考虑了含水层渗透系数空间变异的Monte Carlo方法较以往传统确定性方法更为可靠,为此本文提出利用随机方法从截获系统可接受风险角度确定最优截获量的新思路.

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关键词 随机模拟蒙特卡罗模拟方法空间变异性水力截获    
Abstract

Hydraulic capture technique is one of the most widely applied technologies to purify or constrain contaminants from further contaminated groundwater. Thus, how to determine the optimal pumpage is the key issue.The optimal pumpage calculated by commonly used deterministic methods were usually unreasonable. Therefore, the Monte Carlo method based on the stochastic theory, in consideration of the stochastic property of hydrologic-geologic parameters, was applied to investigate the effect of the spatial variation of hydraulic conductivity on the fate of hydraulic capture zone and a new method to estimate the optimal pumpage was suggested. It had been proved that when the 110m3/d determined by means of deterministic methods was adopted as optimal pumpage, the contaminated area lay exactly within the capture zone of the well, Then, stochastic method was used to investigate the effect of spatial variation of hydraulic conductivity on hydraulic capture zone and the results indicated that the capture zone did not always cover the entire contaminated area when the optimal pumpage adopted the same value (110m3/d) according to traditional deterministic methods, facing a convergent mean risk criterion as high as 24%. This study showed that the optimal pumpage concluded from the Monte Carlo method was more reliable than commonly used deterministic method, because it could takes such spatial variation of hydraulic conductivity into account to study how the spatial variability effected the hydraulic capture zone, that provided a stochastic method to estimate the optimal pumpage from the perspective of acceptable convergent mean risk criterion.

Key wordsstochastic modeling    Monte Carlo simulation method    spatial variation    hydraulic capture   
收稿日期: 2018-01-03     
: X523  
基金资助:

河北省高等学校科学技术研究项目(QN2015061);河北省自然科学基金资助项目(D2018403040);中国博士后基金面上项目(2018M631874);河北省水利科技计划项目(2017-59)

通讯作者: 付晓刚,讲师,fuxiaogang007@163.com     E-mail: fuxiaogang007@163.com
作者简介: 付晓刚(1983-),男,陕西西安人,讲师,博士,主要从事地下水流数值模拟研究.发表论文10余篇.
引用本文:   
付晓刚, 唐仲华, 吕文斌, 王小明, 闫佰忠. 基于随机模拟的地下水污染物最优水力截获量[J]. 中国环境科学, 2018, 38(9): 3421-3428. FU Xiao-gang, TANG Zhong-hua, LÜ Wen-bin, WANG Xiao-ming, YAN Bai-zhong. Optimal pumpage to purify contaminative groundwater based on stochastic simulation. CHINA ENVIRONMENTAL SCIENCECE, 2018, 38(9): 3421-3428.
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