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. DOI: 10.12111/j.mes.2021-x-0169
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. DOI: 10.12111/j.mes.2021-x-0169
ZHANG Yao-wen, LI Hai-jun, LIAN Chen-yan, DING Kai-fang, ZHANG Wen, SHI Ling-xiang, LUO Zhi-xin, XIAO Jia-yu. Evaluation of seawater intrusion degree in Xingcheng city, Liaoning province by entropy weight method and attribute recognition model[J]. Chinese Journal of MARINE ENVIRONMENTAL SCIENCE, 2022, 41(5): 774-782. DOI: 10.12111/j.mes.2021-x-0169
Citation: ZHANG Yao-wen, LI Hai-jun, LIAN Chen-yan, DING Kai-fang, ZHANG Wen, SHI Ling-xiang, LUO Zhi-xin, XIAO Jia-yu. Evaluation of seawater intrusion degree in Xingcheng city, Liaoning province by entropy weight method and attribute recognition model[J]. Chinese Journal of MARINE ENVIRONMENTAL SCIENCE, 2022, 41(5): 774-782. DOI: 10.12111/j.mes.2021-x-0169

辽宁省兴城市海水入侵程度的熵权属性识别评价

Evaluation of seawater intrusion degree in Xingcheng city, Liaoning province by entropy weight method and attribute recognition model

  • 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、兴城河的河口地段,严重入侵区主要分布于周家窝铺−庆屯−海套村一带;经验证,该评价结果与氯离子单指标法评价结果的一致率达66%,而熵权属性识别法能更准确评估海水入侵的范围和程度。评价结果可为研究区海水入侵的防治以及地下水资源的可持续利用提供科学依据。

     

    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.

     

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