长江流域资源与环境 >> 2015, Vol. 24 >> Issue (07): 1163-1167.doi: 10.11870/cjlyzyyhj201507012

• 生态环境 • 上一篇    下一篇

汉江中下游干流水质变化趋势及持续性分析

陈燕飞1,2, 张翔2   

  1. 1. 长江大学地球环境与水资源学院, 油气资源与勘探技术教育部重点实验室, 湖北 武汉 430100;
    2. 武汉大学水资源与水电工程科学国家重点实验室, 湖北 武汉 430072
  • 收稿日期:2014-06-23 修回日期:2014-10-27 出版日期:2015-07-20
  • 作者简介:陈燕飞(1982~),女,讲师,主要研究方向为水环境可持续利用.E-mail:flyney@gmail.com
  • 基金资助:
    国家自然科学基金资助项目(51279143):基于生径比的水生态安全与水环境可持续利用研究;国家社会科学基金重大项目资助(12&ZD215):基于人水和谐理念的最严格水资源管理制度体系研究

LONG-TERM TRENDS AND SUSTAINABILITY TRENDS OF WATER QUALITY IN THE MIDDLE AND LOWER REACHES OF HAN JIANG MAIN STREAM

CHEN Yan-fei1,2, ZHANG Xiang2   

  1. 1. Key Labortoury of Exploration Technologies for Oil and Gas Resources, Ministry of Education, School of Earth Environment and Water Resources, Yangtze University, Wuhan 430100, China;
    2. State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, China
  • Received:2014-06-23 Revised:2014-10-27 Online:2015-07-20
  • Contact: 张翔,E-mail:scottzhx@yeah.net E-mail:scottzhx@yeah.net

摘要: 汉江是长江中游最大的支流,近年来水质污染日趋严重,且范围有逐渐扩大趋势。随着流域内经济社会发展用水量增长以及2014年南水北调中线一期工程建成引水,汉江中下游流域水资源、水生态环境压力日益显现,流域管理面临较大挑战。利用汉江中下游干流襄阳、仙桃和汉口3个主要的水质监测控制断面1998~2011年实测水质资料中5个水质项目,采用季节性肯达尔检验法对其项目进行了变化趋势检验与分析,并用叠加型指数法验证趋势分析的合理性;结合Hurst指数分析了趋势变化的持续性,结果表明季节性肯达尔检验法方法合理,持续性分析结果可预测未来水质变化,并为水环境保护和管理提供技术参考。

关键词: 季节性肯达尔检验, 叠加型指数法, Hurst指数法

Abstract: Hanjiang River is the largest tributary of the Yangtze River in the middle basin, and water pollution has become increasingly serious and the ranges of polluted areas have expanded in recent years. With the development of economy and society and the completion of the first phase of the middle route of the south-to-north water diversion project in 2014, the water consumption in the river basin increases rapidly and the water has been transferred. The pressure of water resources and water ecological environment of Hanjiang basin becomes increasingly apparent, and the management of the basin is facing greater challenges nowadays. Based on the monthly water quality monitoring data in three key monitoring control stations (i.e., Xiangyang, Xiantao, Hankou Stations) from 1998 to 2011, the Seasonal Kendall Test was used to detect long-term trends of pollution indicators in the middle and lower reaches of the main stream of Hanjiang River. In terms of salt permanganate index and ammonia nitrogen, it showed a more statistically significant decreasing trend in the three key monitoring control stations. In terms of total phosphorus, it showed a more statistically significant decreasing trend in Xiantao and Hankou stations, but a non-statistically significant decreasing trend in Xiangyang station. In terms of BOD, it also showed a non-statistically significant decreasing trend in the three key monitoring control stations. In terms of dissolved oygen, it showed a more statistically significant decreasing trend in Xiangyang station but a more statistically significant increasing trend in Xiantao station and a non-statistically significant increasing trend in Hankou station. Ammonia nitrogen showed the largest decrease. The accuracy of the model has been verified by the superposition index method. In terms of temporal trends, water pollution is changing from heave pollution to moderate pollution gradually, and In terms of spatial distribution, the water quality in the middle reaches of Hanjiang River is better than that of the downstream. It shows that the water pollution of the middle and lower reaches of Hanjiang river main stream is under control. The Hurst exponent method was applied to analyze the sustainability of trends of pollution indicators. The sustainability trends are positive for all the pollution indicators. Therefore, the trend of water quality change in the middle and lower reaches of Hanjiang River will be consistent with the 14 years before. The water quality can be improved significantly with water environmental protection and management by relevant departments.The research provides technical support for water environment protection and planning.

Key words: the seasonal kendall test, superposition index, hurst exponent

中图分类号: 

  • X321
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