基于模糊综合评价的2018年厦门湾海水水质评估OA
针对厦门湾 2018年春、夏、秋 3 个季节的水质监测结果,采用模糊综合评价方法对其湾内 6 个区域 16 个站位点进行水质评估.首先依据国家海水水质标准,选取对海水水质影响最重要的溶解氧浓度,化学耗氧量浓度,无机氮浓度和活性磷酸盐浓度作为水质评价因子,然后使用模糊综合评价方法具体评估 16 个站位点的水质情况,最后结合灰度关联分析法验证该文方法的有效性.实验结果表明,厦门湾内水质评价为Ⅰ—Ⅱ类的有南部海域、东部海域和大嶝海域,但仅占 43.8%的站位点;而西部海域、同安湾、九龙江河口区则污染严重,以Ⅳ类水体为主;厦门湾整体水质较差,最重要的污染物为无机氮,水质状况仍有待进一步提升.
Based on the water quality monitoring results of Xiamen Bay in the first three seasons of 2018,a fuzzy comprehensive evaluation method was used to assess the water quality of 16 stations in 6 areas of the bay.Firstly,based on the national seawater quality standards,the dissolved oxygen concentration,chemical oxygen consumption concentration,inorganic nitrogen concentration,and active phosphate concentration that have the most important impact on seawater quality are selected as the water quality evaluation factors.Then,the fuzzy comprehensive evaluation method is used to specifically evaluate the water quality of 16 stations.Finally,the effectiveness of this method is verified by combining the grey correlation analysis method.The experimental results show that the water quality in Xiamen Bay is evaluated as Class I-II in the southern sea area,eastern sea area,and Dadeng sea area,but only 43.8%of the stations are located there;However,the western waters,Tong'an Bay,and Jiulong River estuary are severely polluted,mainly consisting of Class IV water bodies;and the overall water quality of Xiamen Bay is poor,with inorganic nitrogen being the most important pollutant,and the water quality still needs further improvement.
张子强;王敏;汪剑;李科翰;曹小萌
安徽建筑大学 电子与信息工程学院,合肥 230601安徽建筑大学 电子与信息工程学院,合肥 230601||南京信息工程大学 电子与信息工程学院,南京 210044安徽建筑大学 电子与信息工程学院,合肥 230601安徽建筑大学 电子与信息工程学院,合肥 230601南京信息工程大学 电子与信息工程学院,南京 210044
资源环境
厦门湾水质评价模糊综合评价评价因子权重
Xiamen Baywater quality evaluationfuzzy comprehensive evaluationevaluation factorweight
《科技创新与应用》 2026 (22)
5-8,13,5
国家自然科学基金资助项目(41775165,U22B2002)安徽省高校杰出青年科研项目(2023AH020022)
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