基于熵权属性识别模型的唐山海咸水入侵评价  

Evaluation of seawater intrusion in Tangshan based on entropy-weight attribute recognition model

作　　者：阳建新 张龙济 孙金鹏 高晓立 曹湘悦 林国庆[4] 李发菊 YANG Jianxin;ZHANG Longji;SUN Jinpeng;GAO Xiaoli;CAO Xiangyue;LIN Guoqing;LI Faju(Hainan Geological Comprehensive Survey and Design Institute,Haikou 570206,China;The Sixth Geological Brigade of the Geological and Mineral Exploration and Development Bureau of Hebei Province,Shijiazhuang 050081,China;Qingdao Middle School,Qingdao 266213,China;Key Laboratory of Marine Environmental Science and Ecology,Ministry of Education,Ocean University of China,Qingdao 266100,China;Hainan Yanjia Survey and Design Co.,Ltd,Haikou 570206,China)

机构地区：[1]海南地质综合勘察设计院,海南海口570206 [2]河北省地质矿产勘查开发局第六地质大队,河北石家庄050081 [3]青岛中学,山东青岛266213 [4]中国海洋大学海洋环境与生态教育部重点实验室,山东青岛266100 [5]海南岩佳勘察设计有限公司,海南海口570206

出　　处：《海洋湖沼通报》2024年第2期109-115,共7页Transactions of Oceanology and Limnology

基　　金：国家自然科学基金项目(40902066)。

摘　　要：唐山海咸水入侵分布广泛,地下水资源的可持续利用受到严峻挑战。通过分析其地下水化学成分的监测资料,选取Cl^(-)、TDS、SO_(4)^(2-)、A(咸化系数)以及SAR(钠吸附比)五项特征指标,运用熵权属性识别模型,对唐山海咸水入侵程度作出评价,结果显示:唐山的海咸水轻度入侵面积约为1.98×10^(3)km^(2),严重入侵面积约为1.87×10^(3)km^(2)。唐山地区海咸水入侵的最大距离为41.4 km,位于东玉坨村-小双坨村一线。熵权属性识别模型与单指标法的海咸水入侵评价结果显示:两种方法具有70.8%的一致性,但是熵权属性识别模型更能反映咸淡水过渡带阳离子交替吸附以及古咸水入侵导致的水质突变,其结果更加准确可靠。Widespread intrusion of saline seawater in Tangshan posed significant challenges to the sus-tainable utilization of groundwater resources.By analyzing monitoring data of groundwater chemistry,characteristic indicators including Cl^(-),TDS,SO_(4)^(2-),A(salinization coefficient),and SAR(sodium ad-sorption ratio)were selected.Utilizing an entropy-weighted attribute recognition model,the degree of saline seawater intrusion in Tangshan was evaluated.The results indicated that the mildly invaded area by saline seawater in Tangshan was approximately 1.98 × 10^(3)km^(2),while the severely invaded area was about 1.87 × 10^(3)km^(2).The maximum intrusion distance of saline seawater in Tangshan was 41.4 km,along the Dongyutuo-Xiaoshuangtuo village line.A comparison between the entropy-weighted at-tribute recognition model and the single-index method for intrusion assessment demonstrated a 70.8%consistency.However,the entropy-weighted attribute recognition model better reflected the transition zone between saline and fresh water,the ion exchange phenomena and the water quality variations caused by historical saline water intrusion,making the results more precise and reliable.

关 键 词：海咸水入侵 熵权法 属性识别模型 氯离子法 

分 类 号：P641.8[天文地球—地质矿产勘探]