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辽宁省兴城市海水入侵程度的熵权属性识别评价
引用本文:张耀文,李海君,连晨艳,丁开放,张文,石凌翔,罗志鑫,肖佳裕.辽宁省兴城市海水入侵程度的熵权属性识别评价[J].海洋环境科学,2022,41(5):774-782.
作者姓名:张耀文  李海君  连晨艳  丁开放  张文  石凌翔  罗志鑫  肖佳裕
作者单位:1.防灾科技学院 生态环境学院, 河北 三河 065201
基金项目:廊坊市科技局科学研究与发展计划自筹经费项目(2021013092);国家自然科学基金项目(41702264);国家重点研发计划项目(2016YFC002803-02);防灾科技学院 2021年大学生创新创业训练计划项目(202111775003)
摘    要:本文根据兴城地区野外调查与测试结果,选取了Cl−、TDS、SO42−、A和SAR 五项地下水化学因子作为评价指标,运用熵权属性识别法对兴城市海水入侵程度进行了评价。结果表明:研究区内42%的采样点为轻度入侵,4%的采样点为严重入侵;轻度入侵区主要分布于黑泥坑−中兴−庙后头村一带、狐狸套−王家河子村一带以及烟台河、东沙河...

关 键 词:兴城  海水入侵  熵权法  属性识别
收稿时间:2021-08-20

Evaluation of seawater intrusion degree in Xingcheng city,Liaoning province by entropy weight method and attribute recognition model
Yao-wen ZHANG,Hai-jun LI,Chen-yan LIAN,Kai-fang DING,Wen ZHANG,Ling-xiang SHI,Zhi-xin LUO,Jia-yu XIAO.Evaluation of seawater intrusion degree in Xingcheng city,Liaoning province by entropy weight method and attribute recognition model[J].Marine Environmental Science,2022,41(5):774-782.
Authors:Yao-wen ZHANG  Hai-jun LI  Chen-yan LIAN  Kai-fang DING  Wen ZHANG  Ling-xiang SHI  Zhi-xin LUO  Jia-yu XIAO
Institution:1.School of Ecological Environment, Institute of Disaster Prevention, Sanhe 065201, China
Abstract:Based on the results of field survey and sample testing,we select five groundwater chemical factors (Cl?, TDS, SO42?, A and SAR) as evaluation indices and uses the entropy weight–attribute recognition method to evaluate the degree of seawater intrusion in Xingcheng city, Liaoning province, China. Results show that 42% of the 50 sampling sites are mild seawater intrusion degree and 4% are serious degree. Mild intrusion areas are mainly distributed in the Heinikeng-Zhongxing-Miaohoutou village, the Hulitao-Wangjiahezi village ,the estuaries of the Yantai, Dongsha and Xingcheng Rivers, whereas serious intrusion areas are mainly distributed in the Zhoujiawopu-Qingtun-Haitao village. The consistency rate between the evaluation results of entropy weight–attribute recognition method and that of the chloride ion single index method is 66%, while the entropy weight–attribute recognition method can more accurately evaluate the distribution and degree of seawater intrusion. The obtained evaluation results could provide a scientific basis for preventing and controlling seawater intrusion and the sustainable utilization of groundwater resources in the study area.
Keywords:
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