Comprehensive Evaluation of Water Eco-environment and Regional Differences in Yangtze River Economic Belt

Xu Yue; Yang Li; Zhang Chi; ZhuJunqi

doi:10.13961/j.cnki.stbctb.2023.01.029

您当前的位置：

首页 >

文章列表页 >

Comprehensive Evaluation of Water Eco-environment and Regional Differences in Yangtze River Economic Belt

- Comprehensive Evaluation of Water Eco-environment and Regional Differences in Yangtze River Economic Belt
- Bulletin of Soiland Water Conservation Vol. 43, Issue 1, Pages: 253-262(2023)
- 作者机构：
  
  安徽理工大学经济与管理学院,安徽,淮南,232001
- 作者简介：
- 基金信息：
- DOI：10.13961/j.cnki.stbctb.2023.01.029
  CLC： F124;X826
- Published：2023
- 稿件说明：
移动端阅览
Xu Yue, Yang Li, Zhang Chi, et al. Comprehensive Evaluation of Water Eco-environment and Regional Differences in Yangtze River Economic Belt[J]. Bulletin of Soiland Water Conservation, 2023, 43(1): 253-262.
DOI：

Xu Yue, Yang Li, Zhang Chi, et al. Comprehensive Evaluation of Water Eco-environment and Regional Differences in Yangtze River Economic Belt[J]. Bulletin of Soiland Water Conservation, 2023, 43(1): 253-262. DOI： 10.13961/j.cnki.stbctb.2023.01.029.

摘要

[目的] 对长江经济带水生态环境状态进行评价，为该区域制定相应的生态保护政策提供科学依据。[方法] 以DCSM模型和质性分析结果为框架，选取包含“驱动力—承载源—承载状态—管理”4个子系统的22个水生态环境指标。利用随机森林降维，确定12个高相关指标作为综合评价体系，结合加权秩和比模型和对抗解释结构模型对长江经济带11个省份2010—2019年水生态环境定级，并依据优劣程度确定排名。[结果] ①就整体而言，长江经济带各区域水生态环境差异明显，呈现下游优，上游次之，中游较差的非对称“U”型特征分布。 ②就空间分布而言，浙江水生态状态排名靠前，江苏、云南、贵州、安徽、江西、四川、重庆、湖北水生态状态排名呈“阶梯状”递减，湖南、上海排名靠后。 ③就分类指标而言，工业废水重复利用率、万元农业生产总值耗水量、万元工业产业增加值废水排放量等对水生态环境具有显著影响。[结论] 长江经济带总体水生态环境仍未达到安全稳态，因地制宜从多方面提升水生态环境质量，是推动长江经济带高水平可持续发展的重要动力。

Abstract

[Objective] The state of the water ecological environment in the Yangtze River Economic Belt was evaluated in order to provide a scientific basis for the formulation of ecological protection policies in the region. [Methods] Based on the DCSM model and qualitative analysis

22 water ecological environment indicators were selected which included the four subsystems of driving force

carrying source

state

and management. By using random forest dimensionality reduction

12 highly correlated indicators were identified as a comprehensive evaluation system. The water ecological environment of 11 provinces in the Yangtze River Economic Belt was ranked from 2010 to 2019 by combining the weighted rank sum ratio model and the adversarial interpretative structure model. The ranking was determined according to the degree of superiority and inferiority. [Results] ① In general

the water ecological environment of the Yangtze River Economic Belt differed significantly among regions

showing an asymmetric U-shaped distribution with the downstream region being superior

the upstream region being second

and the midstream region being worst. ② In terms of spatial distribution

the water ecological status of Zhejiang Province ranked first

while that of Jiangsu

Yunnan

Guizhou

Anhui

Jiangxi

Sichuan Province

Chongqing City

and Hubei Province decreased in a “steplike” descending manner

and that of Hunan Province and Shanghai City ranked low. ③ In terms of classification indexes

industrial wastewater reuse rate

water consumption of 10 000 yuan of agricultural GDP

and wastewater discharge of 10 000 yuan of industrial value added had significant impacts on the water ecological environment. [Conclusion] The overall water ecological environment of the Yangtze River Economic Belt has still not reached a safe and stable state. Improving the quality of the water ecological environment from various aspects according to local conditions is an important driving force for promoting high-level sustainable development of the Yangtze River Economic Belt.

关键词

Keywords

references

赵钟楠,张越,黄火键,等.基于问题导向的水生态文明概念与内涵[J].水资源保护,2019,35(3)84-88.

于冰,徐琳瑜.城市水生态系统可持续发展评价: 以大连市为例[J].资源科学,2014,36(12):2578-2583.

左其亭.水资源承载力研究方法总结与再思考[J].水利水电科技进展,2017,37(3):1-6.

崔文彦,刘得银,梁舒汀,等.永定河流域水生态环境质量综合评价[J].水生态学杂志,2020,41(2):23-28.

田培,王瑾钰,花威,等.长江中游城市群水资源承载力时空格局及耦合协调性[J].湖泊科学,2021,33(6):1871-1884.

Eisele M, Steinbrich A, Hildebrand A, et al. The significance of hydrological criteria for the assessment of the ecological quality in river basins [J]. Physics and Chemistry of the Earth (Parts A/B/C), 2003,28(12/13):529-536.

Ghazavi R, Ebrahimi Z. Assessing groundwater vulnerability to contamination in an arid environment using DRASTIC and GOD models [J]. International Journal of Environmental Science and Technology, 2015,12(9):2909-2918.

柯志成,连海峰,陈奕,等.福建省2009—2018年人均生态足迹和人均生态承载力的时空动态[J].福建农林大学学报(自然科学版),2021,50(5):677-685.

陈雨霖,朱斌,魏俊,等.基于加权秩和比法的灌区运行水平综合评价: 以四川省典型灌区为例[J].中国农村水利水电,2018(6):122-127.

王晶,胡贵隆,张良.京津冀地区水资源承载力评价与预测[J].中国农村水利水电,2022(3):69-74.

Van Leeuwen C J. City blueprints: Baseline assessments of sustainable water management in 11 cities of the future [J]. Water Resources Management, 2013,27(15):5191-5206.

王雪松,张鸽,李颖,等.常州市典型水生态环境功能区河流水环境质量评价[J].人民珠江,2022,43(1):64-73.

张颖,高倩倩.基于随机森林分类算法的巢湖水质评价[J].环境工程学报,2016,10(2):992-998.

张静,唐莲,刘子西,等.宁夏水环境承载力变化趋势及影响因素研究[J].宁夏大学学报(自然科学版),2019,40(3):281-285.

Men Baohui, Liu Haoyue. Water resource system vulnerability assessment of the Heihe River Basin based on pressure-state-response (PSR) model under the changing environment [J]. Water Supply, 2018,18(6):1956-1967.

许杨,陈菁,夏欢,等.基于DPSR-改进TOPSIS模型的淮安市水资源承载力评价[J].水资源与水工程学报,2019,30(4):47-52.

万生新,王悦泰.基于DPSIR模型的沂河流域水生态安全评价方法[J].山东农业大学学报(自然科学版),2019,50(3):502-508.

阳斌成,张家其,罗伟聪,等.基于TOPSIS及耦合协调度的湖南省2009—2018年水资源承载力综合评价[J].水土保持通报,2021,41(5):357-364.

陈雯,孙伟,吴加伟,等.长江经济带开发与保护空间格局构建及其分析路径[J].地理科学进展,2015,34(11):1388-1397.

李建新,梁曼,钟业喜.长江经济带经济与环境协调发展的时空格局及问题区域识别[J].长江流域资源与环境,2020,29(12):2584-2596.

孙斌,徐渭,薛建春,等.黄河流域城市群城镇化与生态环境耦合协调预测[J].地球科学与环境学报,2021,43(5):887-896.

Breiman L. Random forests [J]. Machine Learning,2001,45(1):5-32.

马玥,姜琦刚,孟治国,等.基于随机森林算法的农耕区土地利用分类研究[J].农业机械学报,2016,47(1):297-303.

王建军,代宗利,侯晓文.跨科室资源共享模式下择期病人手术室调度研究[J].系统工程理论与实践,2021,41(11):2947-2962.

Tan Tan, Chen Ke, Xue Fan, et al. Barriers to Building Information Modeling (BIM) implementation in China’s prefabricated construction: An interpretive structural modeling (ISM) approach [J]. Journal of Cleaner Production, 2019,219:949-959.

Strobl C, Boulesteix A L, Kneib T, et al. Conditional variable importance for random forests [J]. BMC Bioinformatics, 2008,9:307.

Chen Faan, Wang Jianjun, Deng Yajuan. Road safety risk evaluation by means of improved entropy TOPSIS-RSR [J]. Safety Science, 2015,79:39-54.

袁汝华,王霄汉.基于Pythagoras-TOPSIS法的长三角水资源承载力综合评价分析[J].科技管理研究,2020,40(15):71-79.

吕府红.长江经济带省域水环境安全评估与比较研究[D].湖北武汉:中南财经政法大学,2019.

中华人民共和国中央人民政府.国家发展改革委关于印发长江中游城市群发展“十四五”实施方案的通知[EB/OL]. http://www.gov.cn/zhengce/zhengceku/2022-03/16/content_5679303.htm, 2022-02-15.

薄立明,魏伟,尹力,等.2000—2020年长江经济带水生态空间格局变化及其影响要素[J].中国环境科学,2023,43(2):874-885.

田泽,徐志鹏,任阳军.长江经济带新型城镇化对水资源与经济协调发展的影响[J].水利经济,2022,40(5):14-22,93.

胡阿芹,谢乃明.流域水环境承载力动态演化机制研究[J].生态经济,2022,38(8):146-152.

傅晓华,杨欣欣,宋心语.基于DPSIR-TOPSIS模型长江经济带资源环境承载力评价[J].中南林业科技大学学报(社会科学版),2022,16(6):38-47.

王保乾,杨晖,竺运.长江经济带水资源承载力综合评价研究[J].资源与产业,2020,22(1):1-11.

范芹.灰色关联模型下长江经济带生态环境评价[J].统计与决策,2018,34(24):117-119.

林娜,张迪,潘建平,等.长寿区长时序生态质量评价及影响因素分析[J/OL].长江科学院院报:1-7[2023-03-27].http://kns.cnki.net/kcms/detail/42.1171.tv.20221223.1559.009.html.

Views

602

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Remote sensing monitoring and soil and water conservation effects of abandoned farmland in core black soil protection area of Jilin Province from 2000 to 2023

Research progress and trends of ecological environment of key lakes in Yangtze River economic belt based on bibliometric analysis

Comparative analysis of landslide susceptibility based on different evaluation units——A case study of Ledu District in Haidong City， Qinghai Province

Spatiotemporal variations and driving forces of vegetation coverage in Three Gorges reservoir area during 2013—2023——A case study at Badong County， Hubei Province

Effects of land-use change on aquatic ecosystem services in Yangtze River economic belt during 2012—2022

Related Author

Fu Jianing

Wang Jingyi

Sun Xihao

Yu Hailin

Jiang Hailing

Feng Xinhui

Wang Kaihua

Mo Jiawei

Related Institution

College of Geographic Science and Tourism， Jilin Normal University

Changsha General Survey of Natural Resources Center， China Geological Survey

School of Energy， Henan Polytechnic University

School of Resources and Security， Henan Vocational College of Industry and Information Technology

Changjiang Institute of Survey Technical Research， Ministry of Water Resources

⁰