长江科学院院报 ›› 2020, Vol. 37 ›› Issue (2): 28-33.DOI: 10.11988/ckyyb.20181277

• 水资源与环境 • 上一篇    下一篇

济南市水资源环境与经济发展耦合关联性测度及前景预测

刘艺1, 张郑贤2, 张锋贤3, 刘波4   

  1. 1.济南大学 水利与环境学院,济南 250022;
    2.武汉大学 水利水电学院,武汉 430072;
    3.中国科学技术大学 工程科学学院,合肥 230026;
    4.河北工程大学 水利水电学院,河北 邯郸 056000
  • 收稿日期:2018-12-03 出版日期:2020-02-01 发布日期:2020-04-09
  • 通讯作者: 张郑贤(1991-),男,安徽六安人,博士研究生,主要从事环境水力学研究。E-mail:ZZXSIN@126.com
  • 作者简介:刘 艺(1993-),女,安徽蚌埠人,硕士研究生,从事水文水资源及水利经济研究。E-mail:liuyi426419038@126.com

Coupling Correlation Measure and Prospect Forecast of Water Resources Environment and Economic Development in Jinan

LIU Yi1, ZHANG Zheng-xian2, ZHANG Feng-xian3, LIU Bo4   

  1. 1.School of Water Conservancy and Environment, University of Jinan, Jinan 250022, China;
    2.School of Water Resources and Hydropower Engineering, Wuhan University, Wuhan 430072, China;
    3.School of Engineering Science, University of Science and Technology of China, Hefei 230026, China;
    4.School of Water Conservancy and Hydroelectric Power, Hebei University of Engineering, Handan 056000, China
  • Received:2018-12-03 Online:2020-02-01 Published:2020-04-09

摘要: 结合环境库兹涅茨曲线(EKC)与耦合关联度模型对济南市水资源环境与经济发展间的耦合作用机理进行定性与定量研究,并利用弹性预测法对二者间的发展前景作出预测。结果表明:2005—2017年间水资源环境与经济发展存在耦合关系,且现状条件下生活用水、排污量与经济发展的耦合作用要强于工业用水。此外,结合EKC走势和预测结果,引入潜在风险控制指标和重点监控指标的概念,其中生活COD、工业NH3-N为潜在风险控制指标;重点监控指标分别为生活NH3-N、生活废水排放量及工业、生活用水量。研究成果可为促进济南市经济增长与水资源环境协调发展提供依据。

关键词: 水资源环境, 经济发展, 耦合关联度, 环境库兹涅茨曲线, 弹性预测法, 济南市

Abstract: The coupling mechanism between water resources environment and economic growth in Jinan City is studied quantitatively and qualitatively by integrating coupling correlation degree model with environmental Kuznets curve (EKC). Meanwhile, the development prospect between the two is predicted using elasticity forecast method. Result illustrates that coupling relationship exists between water resources environment and economic growth in Jinan from 2005 to 2017. Under current conditions, the coupling between domestic water use as well as sewage and economic growth is higher than that between industry water use and economic growth. In addition, the concepts of potential risk control indicators and key monitoring indicators are introduced according to EKC trends and forecast results. Potential risk control indicators include domestic COD and industrial NH3-N, while key monitoring indicators are domestic NH3-N, wastewater, as well as industrial and domestic water use. The results are expected to provide basis for promoting the coordinated development between regional economy and water resources environment in Jinan.

Key words: water resources environment, economic development, coupling correlation degree, Environmental Kuznets curve, elasticity forecast method, Jinan City

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