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基于熵权属性识别模型的唐山海咸水入侵评价

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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、SO42-、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1.98×103 km2,严重入侵面积约为1.87× 103 km2.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.
Evaluation of seawater intrusion in Tangshan based on entropy-weight attribute recognition model
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,SO42-,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 X 103 km2,while the severely invaded area was about 1.87 X 103 km2.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.

seawater intrusionentropy weight methodattribute recognition modelchloride ion method

阳建新、张龙济、孙金鹏、高晓立、曹湘悦、林国庆、李发菊

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海南地质综合勘察设计院,海南海口 570206

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

河北省地质矿产勘查开发局第六地质大队,河北石家庄 050081

青岛中学,山东青岛 266213

海南岩佳勘察设计有限公司,海南海口 570206

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海咸水入侵 熵权法 属性识别模型 氯离子法

国家自然科学基金

40902066

2024

海洋湖沼通报
山东海洋湖沼学会

海洋湖沼通报

CSTPCD北大核心
影响因子:0.464
ISSN:1003-6482
年,卷(期):2024.46(2)
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