Volume 10 Issue 6
Nov.  2020
Turn off MathJax
Article Contents
Article Navigation >  Journal of Environmental Engineering Technology  > 2020  >  10(6): 1012-1021
ZHANG Qiulei, HUANG Guoxin, WANG Xiahui, BI Erping, JI Guohua, CHEN Xi, LU Ran. Construction technology for site pollution risk control and remediation scheme recommendation system supported by case-based reasoning and machine learning[J]. Journal of Environmental Engineering Technology, 2020, 10(6): 1012-1021. doi: 10.12153/j.issn.1674-991X.20200207
Citation: ZHANG Qiulei, HUANG Guoxin, WANG Xiahui, BI Erping, JI Guohua, CHEN Xi, LU Ran. Construction technology for site pollution risk control and remediation scheme recommendation system supported by case-based reasoning and machine learning[J]. Journal of Environmental Engineering Technology, 2020, 10(6): 1012-1021. doi: 10.12153/j.issn.1674-991X.20200207
shu

Construction technology for site pollution risk control and remediation scheme recommendation system supported by case-based reasoning and machine learning

doi: 10.12153/j.issn.1674-991X.20200207
  • 1.

    Chinese Academy of Environmental Planning

  • 2.

    School of Water Resources and Environment, China University of Geosciences (Beijing)

More Information
  • Corresponding author: HUANG Guoxin E-mail: huanggx@caep.org.cn; WANG Xiahui E-mail: wangxh@caep.org.cn
  • Received Date: 2020-08-24
  • Publish Date: 2020-11-20
    Abstract
  • In order to solve the problems of unreasonable selection and low screening efficiency of the existing soil and groundwater pollution risk control and remediation schemes in China, the site pollution risk control and remediation scheme recommendation system was constructed by using the structured hierarchical storage and search technology as well as case-based reasoning(CBR) and machine learning methods, which realized fast search to find matching source cases. By studying the realization way and content of case base, the structure design and system development of the scheme recommendation system were carried out, and the case retrieval query page based on Web technology was established. Similar cases were retrieved in the case database by using K-nearest neighbor algorithm and analytic hierarchy process, and the scheme recommendation function was realized, in order to provide reference for decision-makers to select relatively optimized site pollution control scheme, and improve the accuracy, intelligence, high efficiency and low cost of site pollution risk management in China.

     

    • FullText(HTML)
  • loading
    • References(19)
  • [1]
    陆文婷. 基于风险管控思路的污染场地修复研究[J]. 安徽农学通报, 2016,22(16):65-67.

    LU W T. Research on remediation of contaminated sites based on risk management and control[J]. Anhui Agricultural Science Bulletin, 2016,22(16):65-67.
    [2]
    王夏晖. 大数据:场地污染智能识别与风险精准管控驱动力[J]. 环境保护, 2019,47(3):14-16.

    WANG X H. Intelligent identification and precise risk control of site pollution driven by big data[J]. Environmental Protection, 2019,47(3):14-16.
    [3]
    FAZIO M, CELESTI A, PULIAFITO A, et al. Big data storage in the cloud for smart environment monitoring[J]. Procedia Computer Science, 2015,52:500-506.
    doi: 10.1016/j.procs.2015.05.023
    [4]
    赵苗苗, 赵师成, 张丽云, 等. 大数据在生态环境领域的应用进展与展望[J]. 应用生态学报, 2017,28(5):1727-1734.

    ZHAO M M, ZHAO S C, ZHANG L Y, et al. Applications of eco-environmental big data: progress and prospect[J]. Chinese Journal of Applied Ecology, 2017,28(5):1727-1734.
    [5]
    刘珣. 环境应急决策支持系统中预案构建与程序设计[D]. 哈尔滨:哈尔滨工业大学, 2011.
    [6]
    张茉莉, 袁鹏, 宋永会, 等. 基于案例推理的突发环境事件应急管理案例库构建技术研究[J]. 环境工程技术学报, 2015,5(5):386-392.

    ZHANG M L, YUAN P, SONG Y H, et al. Development of establishing technology of abrupt environment accident case library for emergency management based on case-based reasoning[J]. Journal of Environmental Engineering Technology, 2015,5(5):386-392.
    [7]
    WANG D, WAN K, MA W. Emergency decision-making model of environmental emergencies based on case-based reasoning method[J]. Journal of Environmental Management, 2020,262:110382.
    doi: 10.1016/j.jenvman.2020.110382 pmid: 32250833
    [8]
    张智超. 突发化学品污染应急处置技术筛选与评估系统研究[D]. 哈尔滨:哈尔滨工业大学, 2013.
    [9]
    郑昌兴, 刘喜文. 基于规则推理和案例推理的应用模型构建研究:以地震类突发事件为例[J]. 情报理论与实践, 2016,39(2):108-112.
    [10]
    张凯岚. 基于案例推理与神经网络的建筑成本预测研究[D]. 长春:吉林大学, 2017.
    [11]
    廖振良, 刘宴辉, 徐祖信. 基于案例推理的突发性环境污染事件应急预案系统[J]. 环境污染与防治, 2009,31(1):86-89.
    [12]
    BARLETTA R. An introduction to case based reasoning[J]. AI Expert, 1991(8):43-49.
    [13]
    蔡胜胜, 卜凡亮. 基于案例推理和规则推理的公安突发事件辅助决策算法[J]. 计算机与现代化, 2019(9):7-11.

    CAI S S, BU F L. An assistant decision-making algorithm for public security emergencies based on case-based reasoning and rule-based reasoning[J]. Computer and Modernization, 2019(9):7-11.
    [14]
    国务院. 国务院关于调整城市规模划分标准的通知:国发〔2014〕51号. (2014-11-20) [2020-08-10]. http://www.gov.cn/zhengce/content/2014-11/20/content_9225.htm.
    [15]
    王兵, 谢红丽, 任宏洋, 等. 基于层次分析法的石油污染土壤修复植物评价[J]. 安全与环境学报, 2019,19(3):985-991.

    WANG B, XIE H L, REN H Y, et al. Assessment for phytoremediation plant growth in petroleum contaminated soil via analytic hierarchy process[J]. Journal of Safety and Environment, 2019,19(3):985-991.
    [16]
    藏晓芳, 帕丽达·牙合甫, 古丽·加帕尔, 等. 乌鲁木齐大气污染物变化特征及综合评价[J]. 四川环境, 2019,38(6):95-102.

    ZANG X F, PALIDA Y, GULI J, et al. Characteristics and comprehensive evaluation of atmospheric pollutants in Urumqi[J]. Sichuan Environment, 2019,38(6):95-102.
    [17]
    张国印. 河网密集型城市黑臭水体仿生态修复技术研究[D]. 北京:北京交通大学, 2019.
    [18]
    SAATY T L. The modern science of multicriteria decision making and its practical applications:the AHP/ANP Approach[J]. Operations Research, 2013,61(5):1101-1118.
    [19]
    WANG B, XIE H, REN H, et al. Application of AHP,TOPSIS,and TFNs to plant selection for phytoremediation of petroleum-contaminated soils in shale gas and oil fields[J]. Journal of Cleaner Production, 2019,233:13-22.
    • Relative Articles
    • Supplements(0)
    • Cited By
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索
    Get Citation
    PDF
    XML

    Article Metrics

    Article Views(636) PDF Downloads(92) Cited by()
    Proportional views
    Related

    Copyright © Editorial Department of Journal of Environmental Engineering Technology

    京ICP备05031605号-2

    Supported by: Beijing Renhe Information Technology Co., Ltd.  

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return