CHARACTERISTICS ANALYSIS AND ZONING CONTROL OF GROUNDWATER POLLUTION BASED ON SELF-ORGANIZING MAPS AND K-MEANS

HUANG Yanpeng; WANG Yuanhao; WANG Chao; LIU Weijiang; WANG Hong; LV Guangfeng; LIN Sijie; HU Qing

doi:10.13205/j.hjgc.202206004

Volume 40 Issue 6

Sep. 2022

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HUANG Yanpeng, WANG Yuanhao, WANG Chao, LIU Weijiang, WANG Hong, LV Guangfeng, LIN Sijie, HU Qing. CHARACTERISTICS ANALYSIS AND ZONING CONTROL OF GROUNDWATER POLLUTION BASED ON SELF-ORGANIZING MAPS AND K-MEANS[J]. ENVIRONMENTAL ENGINEERING , 2022, 40(6): 31-41,47. doi: 10.13205/j.hjgc.202206004

Citation:

HUANG Yanpeng, WANG Yuanhao, WANG Chao, LIU Weijiang, WANG Hong, LV Guangfeng, LIN Sijie, HU Qing. CHARACTERISTICS ANALYSIS AND ZONING CONTROL OF GROUNDWATER POLLUTION BASED ON SELF-ORGANIZING MAPS AND K-MEANS[J]. ENVIRONMENTAL ENGINEERING , 2022, 40(6): 31-41,47. doi: 10.13205/j.hjgc.202206004

Citation:

HUANG Yanpeng, WANG Yuanhao, WANG Chao, LIU Weijiang, WANG Hong, LV Guangfeng, LIN Sijie, HU Qing. CHARACTERISTICS ANALYSIS AND ZONING CONTROL OF GROUNDWATER POLLUTION BASED ON SELF-ORGANIZING MAPS AND K-MEANS[J]. ENVIRONMENTAL ENGINEERING , 2022, 40(6): 31-41,47. doi: 10.13205/j.hjgc.202206004

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CHARACTERISTICS ANALYSIS AND ZONING CONTROL OF GROUNDWATER POLLUTION BASED ON SELF-ORGANIZING MAPS AND K-MEANS

doi: 10.13205/j.hjgc.202206004

1. School of Environment, Harbin Institute of Technology, Harbin 150090, China;
2. School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China;
3. Engineering Innovation Center of Southern University of Science and Technology, Beijing 100083, China;
4. Technical Center for Soil, Agriculture and Rural Ecology and Environment, Ministry of Ecology and Environment, Beijing 100012, China

Received Date: 2022-01-10
Available Online: 2022-09-01
Publish Date: 2022-09-01

Abstract

Abstract

Based on the self-organizing maps (SOM) and K-means method,this study took a contaminated site to explore the feasibility of applying SOM and K-means method to the zoning control of groundwater pollution.Through descriptive statistical analysis of monitoring data,the groundwater pollution characteristics of the site were obtained.It was found that Cr (Ⅵ),COD_Mn,SO₄^2-,TDS,NO₃^-,NH₃-N and Mn were the main pollutants in the study area.Derived from SOM,K-means analysis and spatial interpolation,groundwater in the study area was divided into four types of areas.The pollution factors of each cluster that need to be paid attention to were identified.The results showed that NO₃^- should be paid attention to for cluster Ⅰ;Cr (Ⅵ),COD_Mn,NO₃^-,TDS and NH₃-N for cluster Ⅱ;SO₄^2- for cluster Ⅲ,and Mn for cluster Ⅳ.This method can be applied to the zoning control of groundwater pollution,which had guiding significance for the prevention and control of groundwater pollution in contamination sites.
- machine learning,
- self-organizing map,
- K-means,
- groundwater pollution,
- pollution prevention and control

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References(46)

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