Optimisation approach for pollution source identification in groundwater: An overview

被引：16
|
作者：
Chadalavada S. [1 ]
Datta B. [2 ,3 ]
Naidu R. [1 ,4 ]
机构：
[1] Cooperative Research Centre for Contamination Assessment and Remediation of the Environment, Salisbury South, SA 5106
[2] Department of Civil Engineering, Indian Institute of Technology Kanpur, Kanpur
[3] Civil and Environmental Engineering, School of Engineering, James Cook University, Townsville
[4] Centre for Environmental Risk Assessment and Remediation, University of South, Mawson Lakes
来源：
International Journal of Environment and Waste Management | 2011年 / 8卷 / 1-2期
关键词：
Groundwater contamination; Monitoring network; Optimisation; Pollution source; Source identification;
D O I：
10.1504/IJEWM.2011.040964
中图分类号：
学科分类号：
摘要：
Groundwater pollution occurs from different anthropogenic sources like leakage from Underground Storage Tanks (USTs) and depositories, leakage from hazardous waste dump sites and soak pits. Remediation of these contaminated sites requires optimal decision-making system so that the remediation is done in a cost-effective and efficient manner. Identification of unknown pollution sources plays an important role in remediation and containment of contaminant plume in a hazardous site. This paper reviews different optimisation algorithms like classical, nonclassical such as Genetic Algorithm, Artificial Neural Network and Simulated Annealing and hybrid methods, which can be applied for optimal identification of unknown groundwater pollution sources. Copyright © 2011 Inderscience Enterprises Ltd.
引用
收藏
页码：40 / 61
页数：21
相关论文
共 50 条
  • [1] Mixed integer optimization approach to groundwater pollution source identification problems
    Zhao, Ying
    Lu, Wenxi
    Xiao, Chuanning
    ENVIRONMENTAL FORENSICS, 2016, 17 (04) : 355 - 360
  • [2] OIL POLLUTION SOURCE IDENTIFICATION - OVERVIEW
    LAFORNAR.JP
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 1971, (MAR-A): : 13 - &
  • [3] Inverse Identification of groundwater pollution source based on simulation-optimization approach
    Pan, Zi-Dong
    Lu, Wen-Xi
    Fan, Yue
    Li, Jiu-Hui
    Wang, Han
    Zhongguo Huanjing Kexue/China Environmental Science, 2020, 40 (04): : 1698 - 1705
  • [4] Groundwater pollution source identification problems with unknown aquifer parameters by ADGA approach
    Zhao, Ying
    Li, Jiuhui
    Lu, Wenxi
    Yang, Fan
    ENVIRONMENTAL FORENSICS, 2023, 24 (3-4) : 120 - 129
  • [5] A geostatistical approach to groundwater pollution source identification considering first-order reaction
    Long, Yu-qiao
    Cui, Ting-ting
    Li, Wei
    Gai, Yong-wei
    DESALINATION AND WATER TREATMENT, 2018, 123 : 35 - 40
  • [6] Advances in mathematical methods of groundwater pollution source identification
    Wang J.
    Hu L.
    Hu, Litang (litanghu@bnu.edu.cn), 2017, International Research and Training Center on Erosion and Sedimentation and China Water and Power Press (28): : 943 - 952
  • [7] The risk source identification and classification methodology of groundwater pollution
    Jin, Ai-Fang
    Li, Guang-He
    Zhang, Xu
    Diqiu Kexue - Zhongguo Dizhi Daxue Xuebao/Earth Science - Journal of China University of Geosciences, 2012, 37 (02): : 247 - 252
  • [8] Application of stochastic programming in groundwater pollution source identification
    Shi, Chenxuan
    Zhao, Ying
    Lu, Wenxi
    ENVIRONMENTAL FORENSICS, 2022, 23 (1-2) : 170 - 178
  • [9] Application of a genetic algorithm to groundwater pollution source identification
    Han, Kexue
    Zuo, Rui
    Ni, Pengcheng
    Xue, Zhenkun
    Xu, Donghui
    Wang, Jinsheng
    Zhang, Dan
    JOURNAL OF HYDROLOGY, 2020, 589
  • [10] THE POLLUTION SOURCE IDENTIFICATION: COMPUTATIONAL APPROACH
    Kozhevnikova, M. F.
    Levenets, V. V.
    Rolik, I. L.
    PROBLEMS OF ATOMIC SCIENCE AND TECHNOLOGY, 2011, (06): : 149 - 156
12345