Comprehensive Evaluation and Differentiation Characteristics of Eutrophication in River Waters of Guangdong Province: Based on Game Theory Combined Empowerment Method and VIKOR Model

doi:10.16258/j.cnki.1674-5906.2023.10.010

Ecology and Environment ›› 2023, Vol. 32 ›› Issue (10): 1811-1821.DOI: 10.16258/j.cnki.1674-5906.2023.10.010

• Research Articles • Previous Articles Next Articles

Comprehensive Evaluation and Differentiation Characteristics of Eutrophication in River Waters of Guangdong Province: Based on Game Theory Combined Empowerment Method and VIKOR Model

FAN Yanxiang¹(), LEI Sheping¹^,^*(), XIE Jiancang²^,^*()

1. School of Public Policy and Management, Northwestern Polytechnical University, Xi’an 710072, P. R. China
2. School of Water Resources and Hydropower, Xi'an University of Technology, Xi’an 710048, P. R. China

Received:2023-07-21 Online:2023-10-18 Published:2024-01-16
Contact: LEI Sheping,XIE Jiancang

广东省河流水体富营养化综合评价及分异特征——基于博弈论组合赋权法与VIKOR模型

樊艳翔¹(), 雷社平¹^,^*(), 解建仓²^,^*()

1.西北工业大学公共政策与管理学院，陕西西安 710072
2.西安理工大学水利水电学院，陕西西安 710048

通讯作者: 雷社平,解建仓
基金资助:
国家自然科学基金项目(51679188)

Abstract

Abstract:

Guangdong Province is one of the most economically developed provinces in China and has a high GDP among the country's provincial administrative regions. However, as the province’s economy continues to grow and urbanization accelerates, river water ecology problems have arisen to a certain extent. Conducting an in-depth investigation of these problems is profoundly significant for the sustainable and healthy development of Guangdong Province. In this study, we focused on 94 river monitoring sections in 21 prefectural-level cities in Guangdong Province. We selected seven indicators to assess the status of eutrophication of the water bodies: total nitrogen, total phosphorus, dissolved oxygen, ammonia nitrogen, conductivity, turbidity, and permanganate index. Combining the empowerment method and the VIKOR model, we comprehensively evaluated the eutrophication levels and explored the management measures and principles for different degrees of eutrophication. The study found that 1) the overall water quality of river sections in Guangdong Province is good, with most sections being free of eutrophication, but certain areas exhibit varying degrees of eutrophication, including extremely heavy, heavy, moderate, and mild eutrophication. Different eutrophication conditions require specific management principles and measures to improve the efficiency of eutrophication management of river water bodies. 2) Among the monitored river sections, Chaozhou, Maoming, Shaoguan, Qingyuan, Heyuan, Meizhou, Foshan, Zhongshan, and Zhaoqing did not show any signs of eutrophication. 3) There is a clear spatial clustering effect of eutrophication in Guangdong Province, with more severe cases found in the southeastern coastal region. The eutrophication of water bodies in the Pearl River Delta (PRD) and the eastern part of Guangdong Province is particularly severe, followed by the western part of the Province. The northern part of Guangdong Province experiences the least severe eutrophication, indicating an overall spatial evolution of eutrophication from the southeast coast to the inland northwest. Water resources protection in Guangdong Province plays a significant role in regional sustainable development. It is crucial for all regions to actively respond to the call of the 20th CPC National Congress, embrace the concept of ecological civilization development, and effectively promote the governance of water environment. This will establish a solid foundation for the coordinated development of the regional economy, society, and ecological environment.

Key words: Guangdong Province, river section, water eutrophication, combinatorial weighting method of game theory, VIKOR model

摘要：

广东省是中国经济最为发达的省份之一。随着其经济的不断发展以及城市化的快速推进，出现了一定程度的河流水生态问题，深入探究河流水生态问题对广东省持续健康发展具有深刻意义。以广东省21个地级市累计94个河流监测断面为研究对象，选取了总氮、总磷、溶解氧、氨氮、电导率、浊度、高锰酸盐指数等7个指标，使用博弈论组合赋权法与VIKOR模型综合评估了其水体富营养化状况，并探讨了不同程度富营养化的治理措施与原则。研究发现，1）广东省河流断面整体水质状况良好，绝大部分断面均无富营养化出现，但仍然有一部分区域出现了极重富营养化、重度富营养化、中度富营养化、轻度富营养化，而针对不同的富营养化状况需要遵循不同的治理原则和采取不同的治理措施，以提升河流水体富营养化治理的效率。2）潮州市、茂名市、韶关市、清远市、河源市、梅州市、佛山市、中山市、肇庆市所监测评价的河流断面均未出现富营养化状态。3）广东省水体富营养化存在明显的空间集聚效应，相较严重的地区整体分布于东南沿海区域。其中珠三角和粤东水体富营养化较为严重，其次是粤西地区，而粤北地区最轻，整体呈现由东南沿海向西北内陆水体富营养化程度减轻的空间演变态势。整体而言，广东省水资源保护对区域可持续发展具有深刻的影响，各区域应积极践行生态文明发展理念，扎实推进区域水环境治理，为区域经济、社会、生态环境协调发展奠定基础。

关键词: 广东省, 河流断面, 水体富营养化, 博弈论组合赋权法, VIKOR模型

CLC Number:

X52
X824

FAN Yanxiang, LEI Sheping, XIE Jiancang. Comprehensive Evaluation and Differentiation Characteristics of Eutrophication in River Waters of Guangdong Province: Based on Game Theory Combined Empowerment Method and VIKOR Model[J]. Ecology and Environment, 2023, 32(10): 1811-1821.

樊艳翔, 雷社平, 解建仓. 广东省河流水体富营养化综合评价及分异特征——基于博弈论组合赋权法与VIKOR模型[J]. 生态环境学报, 2023, 32(10): 1811-1821.

Figures/Tables 8

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指标	符号	单位	指标类型	选择依据 (文献来源)
总氮	TN	mg∙L⁻¹	监测指标	朱志雄等, 2020; 杨朝霞等, 2019; 彭园睿等, 2020; 王焕松等, 2010; 欧阳虹等, 2021; 陈金月等, 2022
总磷	TP	mg∙L⁻¹	监测指标	朱志雄等, 2020; 杨朝霞等, 2019; 彭园睿等, 2020; 王焕松等, 2010; 欧阳虹等, 2021; 陈金月等, 2022
溶解氧	DO	mg∙L⁻¹	监测指标	朱志雄等, 2020; 杨朝霞等, 2019
氨氮	NH₃N	mg∙L⁻¹	监测指标	王焕松等, 2010; 陈金月等, 2022
电导率	EC	μs∙cm⁻¹	监测指标	杨朝霞等, 2019
浊度	NTU	NTU	监测指标	杨朝霞等, 2019; 欧阳虹等, 2021; 陈金月等, 2022
高锰酸盐指数	CODMn_	mg∙L⁻¹	监测指标	王焕松等, 2010; 欧阳虹等, 2021

指标	符号	单位	指标类型	选择依据 (文献来源)
总氮	TN	mg∙L⁻¹	监测指标	朱志雄等, 2020; 杨朝霞等, 2019; 彭园睿等, 2020; 王焕松等, 2010; 欧阳虹等, 2021; 陈金月等, 2022
总磷	TP	mg∙L⁻¹	监测指标	朱志雄等, 2020; 杨朝霞等, 2019; 彭园睿等, 2020; 王焕松等, 2010; 欧阳虹等, 2021; 陈金月等, 2022
溶解氧	DO	mg∙L⁻¹	监测指标	朱志雄等, 2020; 杨朝霞等, 2019
氨氮	NH₃N	mg∙L⁻¹	监测指标	王焕松等, 2010; 陈金月等, 2022
电导率	EC	μs∙cm⁻¹	监测指标	杨朝霞等, 2019
浊度	NTU	NTU	监测指标	杨朝霞等, 2019; 欧阳虹等, 2021; 陈金月等, 2022
高锰酸盐指数	CODMn_	mg∙L⁻¹	监测指标	王焕松等, 2010; 欧阳虹等, 2021

指标	总氮	总磷	溶解氧	氨氮	电导率	浊度	高锰酸盐指数
总氮	1	1	3.03	3.03	4	2	3.03
总磷	1	1	3.03	3.03	4	2	3.03
溶解氧	0.33	0.33	1	1	2	2	1
氨氮	0.33	0.33	1	1	2	2	1
电导率	0.25	0.25	0.5	0.5	1	1	0.5
浊度	0.5	0.5	0.5	0.5	1	1	2
高锰酸盐指数	0.33	0.33	1	1	2	0.5	1

指标	总氮	总磷	溶解氧	氨氮	电导率	浊度	高锰酸盐指数
总氮	1	1	3.03	3.03	4	2	3.03
总磷	1	1	3.03	3.03	4	2	3.03
溶解氧	0.33	0.33	1	1	2	2	1
氨氮	0.33	0.33	1	1	2	2	1
电导率	0.25	0.25	0.5	0.5	1	1	0.5
浊度	0.5	0.5	0.5	0.5	1	1	2
高锰酸盐指数	0.33	0.33	1	1	2	0.5	1

得分	水体富营养化水平	总磷TP 质量浓度/ (mg∙L⁻¹)	总氮TN 质量浓度/ (mg∙L⁻¹)	高锰酸盐指数(COD)/ (mg∙L⁻¹)
0<Q_i ≤0.2	极重富营养化	(0, 0.005]	(0, 0.007]	(0, 1.40]
0.2<Q_i ≤0.4	重度富营养化	(0.005, 0.019]	(0.007, 0.24]	(1.40, 2.96]
0.4<Q_i ≤0.6	中度富营养化	(0.019, 0.065]	(0.24, 0.77]	(2.96, 6.29]
0.6<Q_i ≤0.8	轻度富营养化	(0.065, 0.413]	(0.77, 4.50]	(6.29, 19.40]
0.8<Q_i ≤0.1	无富营养化	(0.413, 1.415]	(4.50, 14.64]	(19.4, 41.4]

Comprehensive Evaluation and Differentiation Characteristics of Eutrophication in River Waters of Guangdong Province: Based on Game Theory Combined Empowerment Method and VIKOR Model

广东省河流水体富营养化综合评价及分异特征——基于博弈论组合赋权法与VIKOR模型

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得分	水体富营养化水平	富营养化特征	河流健康水平	水质等级
0<Q_i ≤0.2	极重富营养化	水体中营养物质的浓度极高, 导致水藻等微生物暴发性繁殖, 水体中可能出现大规模的水华现象, 水生生物严重受到影响, 甚至可能导致水体富氧化死亡, 水体生态系统彻底崩溃	病态	Ⅴ
0.2<Q_i ≤0.4	重度富营养化	水体中营养物质的浓度非常高, 导致水藻等微生物大规模繁殖, 水体中可能出现严重的水华现象, 水生生物的种类和数量明显受到影响, 水体生态系统严重破坏	亚病态	Ⅳ
0.4<Q_i ≤0.6	中度富营养化	水体中营养物质的浓度明显增加, 导致水藻等微生物大量繁殖, 水体中可能出现较明显的水华现象, 水生生物的种类和数量可能发生变化	中等	Ⅲ
0.6<Q_i ≤0.8	轻度富营养化	水体中营养物质的浓度略微超过正常水平, 导致水藻等微生物的增殖, 水体中可能出现轻微的蓝藻或绿藻水华现象	亚健康	Ⅱ
0.8<Q_i ≤0.1	无富营养化	水体营养物质的浓度处于正常范围内, 水生生物种类和数量相对平衡, 水体生态系统正常运转	健康	Ⅰ

指标	层次分析法权重	独立性权重法权重	博弈论组合权重
总氮	0.263	0.096	0.180
总磷	0.263	0.094	0.178
溶解氧	0.111	0.134	0.123
氨氮	0.111	0.112	0.111
电导率	0.062	0.348	0.205
浊度	0.100	0.113	0.106
高锰酸盐指数	0.091	0.103	0.097

区域	城市	断面	Q_i值	区域	城市	断面	Q_i值
粤东	汕头市	隆都	0.941	珠三角地区	广州市	蕉门	0.681
		海门湾桥闸	0.714			洪奇沥	0.751
		升平	0.156			莲花山	0.664
		外砂	0.938			流溪河庄	0.967
		莲阳桥闸	0.940			官坦	0.824
		大衙	0.925			大龙涌口	0.870
	汕尾市	海丰西闸	0.913			九龙潭	0.953
		东溪水闸	0.753			增江口	0.897
		乌坎	0.288			鸦岗	0.667
	潮州市	赤凤	0.877			墩头基	0.692
	潮州市	凤江桥	0.856			大墩	0.826
	揭阳市	地都	0.673		深圳市	深圳河口	0.139
		隆溪大道桥	0.541			小漠桥	0.528
		鬼山塔	0.932			共和村	0.540
粤西	湛江市	渠首	0.882		珠海市	尖峰大桥	0.861
		黄坡	0.807			珠海大桥	0.859
		山角	0.900			石角咀水闸	0.761
		赤坎水厂	0.873			鸡啼门大桥	0.833
		排里	0.802			布洲	0.881
		南渡河桥	0.788		佛山市	平洲	0.850
		石碧	0.637		佛山市	乌洲	0.875
		营子	0.803		江门市	古劳	0.901
		黄竹尾水闸	0.797			下东	0.886
	茂名市	塘口	0.861			苍山渡口	0.693
		石骨水库	1.000			牛湾	0.797
		良德水库	0.983		肇庆市	梁村	0.886
		江口门	0.816			白沙街	0.946
		米急渡	0.807			黄岗	0.878
	阳江市	江城	0.823			永安	0.863
		尖山	0.782		惠州市	紫溪	0.726
		埠场	0.793			东江江口	0.916
		大泉	0.770			博罗城下	0.866
		寿长	0.571			惠州汝湖	0.922
	云浮市	古封	0.890			沙河河口	0.836
		都骑	0.893			马安大桥下	0.779
		六都水厂上游	0.914			虎爪断桥	0.250
粤北	韶关市	十里亭	0.946			吉隆商贸街前	0.726
		长坝	0.952			公庄河口	0.812
		三溪桥	0.949		东莞市	樟村	0.581
		高桥	0.919			沙田泗盛	0.758
	梅州市	青溪	0.915			旗岭	0.538
		大麻	0.906			石龙南河	0.838
		西阳电站	0.834		中山市	中山港码头	0.855
		五丰渡口	0.866	粤北	清远市	七星岗	0.932
		新铺	0.881			北江石尾	0.914
	河源市	庙咀里	0.864			石角	0.930
	河源市	龙川城铁路桥	0.930			连江西牛	0.980

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