ORIGINAL RESEARCH
Generation Model of Optimal Emergency
Treatment Technology for Sudden Heavy Metal
Pollution Based on Group-G1 Method
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1
Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, China
2
Sichuan Huadi Environmental Science and Technology Co. Ltd, Chengdu, China
Submission date: 2021-02-05
Final revision date: 2021-04-23
Acceptance date: 2021-05-03
Online publication date: 2021-09-17
Publication date: 2021-12-02
Corresponding author
Liu Ying
Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, 611756, Chengdu, China
Pol. J. Environ. Stud. 2021;30(6):5899-5908
KEYWORDS
TOPICS
ABSTRACT
Heavy metals have the characteristics of high toxicity, refractory and easy enrichment, so it
is necessary to quickly choose the best emergency treatment technology to deal with them after the
sudden heavy metal pollution. To select and evaluate the emergency treatment technology of heavy
metals, the evaluation index system of emergency treatment technology of sudden heavy metal pollution
was established by selecting nine indexes from three aspects of emergency technical characteristics,
emergency treatment cost and social environmental impact. The Group-G1 method based on Dempster-
Shafer evidence theory was studied to establish the optimal emergency treatment technology generation
model, the weight of evaluation indexes was obtained from the expert weight and G1 weight. And
then the TOPSIS method was used to comprehensively evaluate the selected emergency treatment
technology. Finally, the cadmium pollution incident in Longjiang River, Guangxi Province, China in
2012 was taken as an example to verify the feasibility of the model. The results show that the generation
model can quickly and accurately screen out the best emergency treatment technology for sudden heavy
metal pollution.