基于改进方法的承德地表水环境质量评价

doi:10.13866/j.azr.2024.01.05

干旱区研究 ›› 2024, Vol. 41 ›› Issue (1): 50-59.doi: 10.13866/j.azr.2024.01.05 cstr: 32277.14.j.azr.2024.01.05

基于改进方法的承德地表水环境质量评价

张胜¹(),张涛¹,段雯瑜²,徐利^1,³,顾金洋¹,张炜¹,李思敏¹()

1.河北工程大学河北省水污染控制与水生态修复技术创新中心，污水处理及资源化利用河北省工程研究中心，邯郸市城市水利用技术重点实验室，水利水电学院，河北邯郸 056038
2.张家口市气象局，河北张家口 075000
3.河北建筑工程学院市政与环境工程系，河北张家口 075000

收稿日期:2023-08-21 修回日期:2023-10-30 出版日期:2024-01-15 发布日期:2024-01-24
作者简介:张胜（1970-），男，教授主要从事城镇水处理技术及流域水污染控制研究. E-mail: zhsh0604@126.com
基金资助:
国家重点研发计划课题(2021YFC1910601)

Evaluation of the environmental quality of surface water in Chengde using improved methods

ZHANG Sheng¹(),ZHANG Tao¹,DUAN Wenyu²,XU Li^1,³,Gu Jinyang¹,ZHANG Wei¹,LI Simin¹()

1. Hebei Technology Innovation Center for Water Pollution Control and Water Ecological Remediation, Hebei Engineering Research Center of Sewage Treatment and Resource Utilization, Handan Key Laboratory of Water Utilization Technology, Institute of Water Conservancy and Hydro-Electric Power, Hebei University of Engineering, Handan 056038, Hebei, China
2. Zhangjiakou Meteorological Bureau, Zhangjiakou 075000, Hebei, China
3. Department of Municipal and Environmental Engineering, Hebei University of Architecture, Zhangjiakou 075000, Hebei, China

Received:2023-08-21 Revised:2023-10-30 Published:2024-01-15 Online:2024-01-24

摘要/Abstract

摘要：

为客观反映地表水水质状况，采用层次分析法和熵权法组合赋权以及加权平均综合评价原则改进模糊综合评价法，并与单因子评价法、内梅罗指数法、传统模糊综合评价法进行比较，评价承德地区地表水环境质量。结果表明：2021年承德地区地表水水质有明显的时空差异性，除7—9月的部分断面水质为较差外，其余断面水质均在Ⅰ~Ⅲ类；影响承德地区地表水水质的主要因子为COD_Mn和TP；单因子评价法和内梅罗指数法无法反映整体水质状况，改进的模糊综合评价法相较于传统模糊综合评价法兼顾了各污染因子间相互作用，并弱化了个别水质指标对评价结果的影响，且能够对同一类别水质进行排序，更适用于承德地区地表水环境质量评价。

关键词: 水质评价, 改进的模糊综合评价法, 层次分析法, 熵权法, 承德地区

Abstract:

To objectively reflect the surface water quality status, a combination of the Analytic Hierarchy Process Entropy Weight Method and the weighted average comprehensive evaluation principle were used to improve the fuzzy comprehensive evaluation method. The method was compared with the single factor evaluation, Nemero index, and traditional undefined extensive evaluation methods to evaluate the surface water environmental quality in the Chengde area in 2021. The results showed a significant spatiotemporal difference in the surface water quality. Except for some sections with poor water quality from July to September, the water quality in other sections was in Classes I-III; The main factors affecting surface water quality in the Chengde area were COD_Mn and TP; The single factor evaluation and the Nemero index methods could not reflect the overall water quality. Compared to the traditional fuzzy comprehensive evaluation method, the improved fuzzy comprehensive evaluation method considers the interaction between various pollution factors and weakened the impact of individual water quality indicators on the evaluation results. It can also rank the category of water quality, making it more suitable for evaluating the environmental quality of surface water in the Chengde area.

Key words: water quality evaluation, improved fuzzy comprehensive evaluation method, analytic hierarchy process, entropy weight method, Chengde area

张胜, 张涛, 段雯瑜, 徐利, 顾金洋, 张炜, 李思敏. 基于改进方法的承德地表水环境质量评价[J]. 干旱区研究, 2024, 41(1): 50-59.

ZHANG Sheng, ZHANG Tao, DUAN Wenyu, XU Li, Gu Jinyang, ZHANG Wei, LI Simin. Evaluation of the environmental quality of surface water in Chengde using improved methods[J]. Arid Zone Research, 2024, 41(1): 50-59.

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参考文献 35

[1]	黄瑞, 韩龙喜, 张防修, 等. 模糊区间型综合决策方法在水质评价中的应用[J]. 人民黄河, 2021, 43(5): 104-109.
	[Huang Rui, Han Longxi, Zhang Fangxiu, et al. Application of fuzzy interval multi-attribute assessment in the analysis of water quality[J]. Yellow River, 2021, 43(5): 104-109.]
[2]	Li R, Zou Z, An Y. Water quality assessment in Qu River based on fuzzy water pollution index method[J]. Journal of Environmental Sciences, 2016, 50(12): 87-92. doi: 10.1016/j.jes.2016.03.030
[3]	敖成欢, 钟九生, 赵梦, 等. 基于模糊综合法和灰色关联法的百花湖水质评价[J]. 水土保持通报, 2020, 40(1): 116-122, 129.
	[Ao Chenghuan, Zhong Jiusheng, Zhao Meng, et al. Evaluation water quality of Baihua Lake based on fuzzy comprehensivemethod and grey correlation method[J]. Bulletin of Soil and Water Conservation, 2020, 40(1): 116-122, 129.]
[4]	汪顺生, 黄天元, 陈豪, 等. 基于CRITIC赋权的模糊综合评判模型在水质评价中的应用[J]. 水电能源科学, 2018, 36(6): 48-51.
	[Wang Shunsheng, Huang Tianyuan, Chen Hao, et al. Application of fuzzy comprehensive evaluation model based CRITIC weighting in water quality evaluation[J]. Water Resources and Power, 2018, 36(6): 48-51.]
[5]	Adimalla N. Groundwater quality delineation based on fuzzycomprehensive assessment method (FCAM): A case study[J]. Arabian Journal of Geosciences, 2020, 13(23): 1256. doi: 10.1007/s12517-020-06265-y
[6]	宁阳明, 尹发能, 李香波. 几种水质评价方法在长江干流中的应用[J]. 西南大学学报(自然科学版), 2020, 42(12): 126-133.
	[Ning Yangming, Yin Faneng, Li Xiangbo. Application of several evaluation methods for river water quality in the Yangtze River mainstream[J]. Journal of Southwest University (Natural Science Edition), 2020, 42(12): 126-133.]
[7]	殷雪妍, 严广寒, 汪星, 等. 不同水质评价方法在通江湖泊中的适用性——以洞庭湖为例[J]. 环境工程技术学报, 2023, 13(3): 1070-1078.
	[Yin Xueyan, Yan Guanghan, Wang Xing, et al. Applicability of different water quality evaluation methods in river-connected lakes: A case study of Dongting Lake area[J]. Journal of Environmental Engineering Technology, 2023, 13(3): 1070-1078.]
[8]	彭琪, 张宇, 张强, 等. 基于改进TOPSIS与哈斯图耦合的水质评价模型[J]. 人民黄河, 2021, 43(1): 93-96 128.
	[Peng Qi, Zhang Yu, Zhang Qiang, et al. Model ofwater quality assessment based on improved TOPSIS coupled with Hasse diagram[J]. Yellow River, 2021, 43(1): 93-96, 128.]
[9]	张洁, 焦树林, 赵梦, 等. 贵州百花湖流域主要地表河流水质评价分析[J]. 人民长江, 2021, 52(6): 13-19.
	[Zhang Jie, Jiao Shulin, Zhao Meng, et al. Water quality evaluation and analysis of main surface tributaries of Baihua Lake in Guizhou Province[J]. Yangtze River, 2021, 52(6): 13-19.]
[10]	吴喜军, 董颖, 张亚宁. 改进的内梅罗污染指数法在黄河干流水质评价中的应用[J]. 节水灌溉, 2018, 43(10): 51-53, 58.
	[Wu Xijun, Dong Ying, Zhang Yaning. Application of improved Nemerow pollution index method in water quality evaluation of Yellow River[J]. Water Saving Irrigation, 2018, 43(10): 51-53, 58.]
[11]	程鹏, 孙明东, 郝韶楠. 基于最简水质综合评价指数的官厅水库上游河流水质评价[J]. 生态环境学报, 2023, 32(2): 372-380. doi: 10.16258/j.cnki.1674-5906.2023.02.017
	[Cheng Peng, Sun Mingdong, Hao Shaonan. Water quality assessment of upstream rivers of Guanting Reservoir based on the simplest water quality index[J]. Ecology and Environmental Sciences, 2023, 32(2): 372-380.] doi: 10.16258/j.cnki.1674-5906.2023.02.017
[12]	张倩, 李国强, 诸葛亦斯, 等. 改进的模糊综合评价法在洱海水质评价中的应用[J]. 中国水利水电科学研究院学报, 2019, 17(3): 226-232.
	[Zhang Qian, Li Guoqiang, Zhuge Yisi, et al. Application ofimproved fuzzy comprehensive method to water quality assessment in Erhai[J]. Journal of China Institute of Water Resources and Hydropower Research, 2019, 17(3): 226-232.]
[13]	董雯, 王瑞琛, 李怀恩, 等. 渭河西咸段水质时空变异特征分析[J]. 水力发电学报, 2020, 39(11): 80-89.
	[Dong Wen, Wang Ruichen, Li Huai’en, et al. Spatiotemporal characteristics analysis of water pollutants in Xixian new area in Weihe River Basin[J]. Journal of Hydroelectric Engineering, 2020, 39(11): 80-89.]
[14]	贾本军, 周建中, 陈潇, 等. 水电站变出力系数的神经网络估计方法[J]. 水力发电学报, 2021, 40(1): 88-96.
	[Jia Benjun, Zhou Jianzhong, Chen Xiao, et al. Neural network estimation methods for varying output coefficients of hydropower stations[J]. Journal of Hydroelectric Engineering, 2021, 40(1): 88-96.]
[15]	逯林方, 王辉辉, 胡亚伟, 等. 赵口引黄灌区二期工程区域地表水水质评价[J]. 灌溉排水学报, 2022, 41(9): 117-124.
	[Lu Linfang, Wang Huihui, Hu Yawei, et al. Surface water quality in the second-phase Zhaokou Yellow River Irrigation district project[J] Journal of Irrigation and Drainage, 2022, 41(9): 117-124.]
[16]	李苏, 闫志宏, 徐丹, 等. 改进的内梅罗指数法在水库水质评价中的应用[J]. 科学技术与工程, 2020, 20(31): 13079-13084.
	[Li Su, Yan Zhihong, Xu Dan, et al. Application of improved Nemerow index method in reservoir water quality evaluation[J]. Science Technology and Engineering, 2020, 20(31): 13079-13084.]
[17]	章鑫慧, 刘好真, 李进京, 等. 基于改进内梅罗指数的东海中鹿岛生态养殖区水质评价[J]. 应用海洋学学报, 2019, 38(2): 225-231.
	[Zhang Xinhui, Liu Haozhen, Li Jinjing, et al. Water quality evaluation in aquaculture area of Zhonglu Island in the East China Sea based on improved Nemerow index evaluation method[J]. Journal of Applied Oceanography, 2019, 38(2): 225-231.]
[18]	Zhong C, Yang Q, Liang J, et al. Fuzzy comprehensive evaluation with AHP and entropy methods and health risk assessment of groundwater in Yinchuan Basin, Northwest China[J]. Environmental Research, 2021, 204 (5): 111956. doi: 10.1016/j.envres.2021.111956
[19]	Ding Xiaowen, Chong Xiao, Bao Zhengfeng, et al. Fuzzy comprehensive assessment method based on the entropy weight method and its application in the water environmental safety evaluation of the Heshangshan Drinking Water Source Area, Three Gorges Reservoir Area, China[J]. Water, 2017, 9(5): 329. doi: 10.3390/w9050329
[20]	王艳, 石荣媛, 乔长录. 基于模糊综合评价模型的天山北坡经济带水资源承载力评价[J]. 水土保持通报, 2018, 38(5): 206-212, 219.
	[Wang Yan, Shi Rongyuan, Qiao Changlu. Evaluation of water resource carrying capacity based on fuzzy comprehensive evaluation method in northern slop Economic Belt of Tianshan Mountains[J]. Bulletin of Soil and Water Conservation, 2018, 38(5): 206-212, 219.]
[21]	贾亦真, 沈菊琴, 王晗, 等. 兰州市水资源价值模糊评价研究[J]. 人民黄河, 2018, 70(9): 68-73.
	[Jia Yizhen, Shen Juqin, Wang Han, et al. Research on fuzzy evaluation of water resources value in Lanzhou City[J]. Yellow River, 2018, 70(9): 68-73.]
[22]	杨蕾, 璩向宁, 马正虎, 等. 宁夏阅海湿地水质评价及其空间差异性研究[J]. 干旱区研究, 2021, 38(3): 640-649.
	[Yang Lei, Qu Xiangning, Ma Zhenghu, et al. Water quality evaluation and spatial difference of Yuehai wetland in Ningxia[J] Arid Zone Research, 2021, 38(3): 640-649.]
[23]	王丹, 张双虎, 王国利, 等. 鄱阳湖枯水期水位变化及其影响因素量化分析[J]. 水力发电学报, 2020, 39(3): 1-10.
	[Wang Dan, Zhang Shuanghu, Wang Guoli, et al. Quantitative assessment of water stage changes of Poyang Lake in dry period and its influencing factors[J]. Journal of Hydroelectric Engineering, 2020, 39(3): 1-10.]
[24]	谭浩, 刘燕, 赵志强, 等. 泾惠渠灌区地下水水质特征及评价[J]. 人民长江, 2021, 52(5): 18-23.
	[Tan Hao, Liu Yan, Zhao Zhiqiang, et al. Characteristics andevaluation of groundwater quality in Jinghui Canal irrigation area[J]. Yangtze River, 2021, 52(5): 18-23.]
[25]	白凡, 周金龙, 曾妍妍. 吐鲁番盆地平原区地下水水化学特征及水质评价[J]. 干旱区研究, 2022, 39(2): 419-428.
	[Bai Fan, Zhou Jinlong, Zeng Yanyan. Hydrochemical characteristics and quality of groundwater in the plains of the Turpan Basin[J] Arid Zone Research, 2022, 39(2): 419-428.]
[26]	王红岩, 刘钰洋, 张晓伟, 等. 基于层次分析法的页岩气储层地质工程一体化甜点评价: 以昭通页岩气示范区太阳页岩气田海坝地区X井区为例[J]. 地球科学, 2023, 48(1): 92-109.
	[Wang Hongyan, Liu Yuyang, Zhang Xiaowei, et al. Geology-engineering intergration Shale Gas Sweet Spot evaluation based on analytic hierarchy process: Application to Zhaotong Shale Gas Demonstration District, Taiyang Shale Gas Field, Haiba Area, X Well Region[J]. Earth Science, 2023, 48(1): 92-109.]
[27]	张淑雨, 王魏, 刘懿纬, 等. 基于三角模糊数层次分析法的海参养殖水质评价[J]. 华中农业大学学报, 2023, 42(3): 88-96.
	[Zhang Shuyu, Wang Wei, Liu Yiwei, et al. Water quality evaluation of sea cucumber culture based on triangular fuzzy number analytic hierarchy process[J]. Journal of Huazhong Agricultural University, 2023, 42(3): 88-96.]
[28]	Shapiro A F, Koissi M C. Fuzzy logic modifications of the Analytic Hierarchy Process[J]. Insurance: Mathematics and Economics, 2017, 100(75): 189-202.
[29]	郑兰香, 杨程, 李春光. 基于层次分析法的抽水型水库水质评价[J]. 人民黄河, 2014, 66(10): 81-83, 88.
	[Zheng Lanxiang, Yang Cheng, Li Chunguang. Water qualityevaluation of pumped storage reservoir based on Analytic Hierarchy Process[J]. Yellow River, 2014, 66(10): 81-83, 88.]
[30]	史世强, 王培京, 胡明, 等. 基于层次分析-灰色评价法的北京市农村污水处理技术评估[J]. 环境科学学报, 2022, 42(5): 13-21.
	[Shi Shiqiang, Wang Peijing, Hu Ming, et al. Evaluation of Beijing rural sewage treatment technology based on Analytic Hierarchy Process and Grey Evaluation method[J]. Acta Science Circumstantiae, 2022, 42(5): 13-21.]
[31]	刘姗, 张南, 魏振. 基于粗糙集——信息熵的水质综合评价方法研究[J]. 人民长江, 2019, 50(2): 75-78, 89.
	[Liu Shan, Zhang Nan, Wei Zhen. Research on water quality comprehensive evaluation method based on rough set information entropy[J]. Yangtze River, 2019, 50(2): 75-78, 89.]
[32]	田福金, 马青山, 张明, 等. 基于主成分分析和熵权法的新安江流域水质评价[J]. 中国地质, 2023, 50(2): 495-505.
	[Tian Fujin, Ma Qingshan, Zhang Ming, et al. Evaluation of water quality in Xin’anjiang River Basin based on principal component analysis and entropy weight method[J]. Geology in China, 2023, 50(2): 495-505.]
[33]	杜书栋, 关亚楠, 李欣, 等. 基于熵权法改进的综合污染指数的水质评价——以白云湖为例[J]. 环境科学学报, 2022, 42(1): 205-212.
	[Du Shudong, Guan Yanan, Li Xin, et al. Water quality evaluation with improved comprehensive pollution index based on entropy weight method: A case study of Baiyun Lake[J]. Acta Science Circumstantiae, 2022, 42(1): 205-212.]
[34]	丁启振, 雷米, 周金龙, 等. 博尔塔拉河上游河谷地区水化学特征及水质评价[J]. 干旱区研究, 2022, 39(3): 829-840.
	[Ding Qizhen, Lei Mi, Zhou Jinlong, et al. An assessment of groundwater, surface water, and hydrochemical characteristics in the upper valley of the Bortala River[J] Arid Zone Research, 2022, 39(3): 829-840.]
[35]	Yan Feng, Yi Fanghui, Chen Li. Improved entropy weighting model in water quality evaluation[J]. Water Resources Management, 2019, 33(6): 2049-2056. doi: 10.1007/s11269-019-02227-6

内梅罗指数（P）	水质类别
P≤ 0.62	Ⅰ
0.62<P≤ 0.75	Ⅱ
0.75<P≤ 1	Ⅲ
1<P≤ 1.61	Ⅳ
1.61<P≤ 2.38	Ⅴ
P>2.38	劣Ⅴ

准则B_i	C₁	C₂	…	C_n
C₁	d₁₁	d₁₂	…	d₁_n
C₂	d₂₁	d₂₂	…	d₂_n
…	…	…	…	d₃_n
C_n	d_n₁	d_n₂	…	d_nn

基于改进方法的承德地表水环境质量评价

Evaluation of the environmental quality of surface water in Chengde using improved methods

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