研究论文

地表水质模型的发展:从维持生存到提升水质质量

  • 尹海龙 ,
  • 李潇 ,
  • Steven C. Chapra ,
  • 王道增
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  • 1. 同济大学环境科学与工程学院, 上海 200092;
    2. 塔夫茨大学土木与环境工程系, 美国波士顿 02155;
    3. 上海大学;上海市应用数学和力学研究所, 上海 200072
尹海龙,副教授,研究方向为环境水力学和水环境系统工程,电子信箱:yinhailong@tongji.edu.cn

收稿日期: 2016-11-22

  修回日期: 2016-12-16

  网络出版日期: 2017-02-21

基金资助

国家水体污染控制与治理科技重大专项(2014ZX07303003)

Development of surface water quality modeling: From survival to quality of life

  • YIN Hailong ,
  • LI Xiao ,
  • Steven C. Chapra ,
  • WANG Daozeng
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  • 1. College of Environmental Science and Engineering, Tongji University, Shanghai 200092, China;
    2. Civil and Environmental Engineering Department, Tufts University, Massachusetts 02155, USA;
    3. Shanghai Institute of Applied Mathematics and Mechanics;Shanghai University, Shanghai 200072, China

Received date: 2016-11-22

  Revised date: 2016-12-16

  Online published: 2017-02-21

摘要

水体污染治理实践表明,水环境质量要从根本上得到改善,需要从区域甚至流域尺度开展系统规划和综合治理。地表水质模型是水环境综合治理方案优化论证的核心技术手段。介绍了地表水质模型从解决水体黑臭到提高水生态质量的4个阶段发展历程,并从经济社会发展和技术驱动两方面展望了水质模型的发展前景。

本文引用格式

尹海龙 , 李潇 , Steven C. Chapra , 王道增 . 地表水质模型的发展:从维持生存到提升水质质量[J]. 科技导报, 2017 , 35(3) : 57 -65 . DOI: 10.3981/j.issn.1000-7857.2017.03.006

Abstract

Practices of water pollution control at home and abroad indicate that obvious water quality improvement depends on systematic planning and integrated water environment rehabilitation on a catchment or even watershed scale. Surface water quality modeling is the key technical approach to optimize the set of water pollution control schemes. This paper introduces the four stages of surface water quality modeling development, from emphasizing the elimination of black and odorous water to restoring aquatic ecological system. Furthermore, the prospects for the development of surface water quality modeling are discussed, from the perspective of social-economical and technical drive. In the future, the trade-off between model complexity and reliability is anticipated to be overcome, thus quality modeling will play a more effective role in the realization of high quality water environment during the shift from people survival to quality of life.

参考文献

[1] 徐祖信. 河流污染治理规划理论与实践[M]. 北京:中国环境科学出版社, 2003. Xu Zuxin. Planning theory and practice of river pollution control[M]. Beijing:China Environmental Science Press, 2003.
[2] 舒丽萍. 19世纪英国的城市化及公共卫生危机[J]. 武汉大学学报(人文科学版), 2015, 68(5):86-92. Shu Liping. The urbanization and sanitation crisis of England in the 19th century[J]. Wuhan University Journal (Humanity Sciences), 2015, 68(5):86-92.
[3] Griffith D C, Kelly-HopeL A, Miller M A. Review of reported cholera outbreaks worldwide, 1995-2005[J]. American Journal of Tropical Medicine & Hygiene, 2006, 75(5):973-977.
[4] 郑州市疾病预防控制中心. 1831-1832年英国发生的霍乱及其社会应对[EB/OL].[2016-1-30]. http://www.zzws.gov.cn/viewNews.aspx?id=4865. Zhengzhou Center for Disease Control and Prevention. The cholera outbreak and countermeasures in Britain during 1831-1832[EB/OL].[2016-1-30]. http://www.zzws.gov.cn/viewNews.aspx?id=4865.
[5] Chapra S C. Surface water-quality modeling[M]. Illinois:Waveland Press, 1997.
[6] 朱未萍. 世界石油态势及中国能源战略[J]. 国际经济合作, 2001(11):31-36. Zhu Weiping. Worldoil situation and strategic energy management of China[J]. International Economic Cooperation, 2001(11):31-36.
[7] Xue C H, Yin H L, Xie M. Journal of Hydrodynamics, 2015, Develop-ment of integrated catchment and water quality model for urban rivers[J]. Journal of Hydrodynamics, 2015, 27(4):593-603.
[8] Walker J D, Chapra S C. A client-side web application for interactive environmental simulation modeling[J]. Environmental Modelling & Software, 2014, 55(2):49-60.
[9] 王桥, 王晋年, 杨一鹏, 等. 环境监管无人机遥感技术与应用[M]. 北京:科学出版社, 2014. Wang Qiao, Wang Jinnian, Yang Yipeng, et al. Technology and application of unmanned aerial vehicle remote sensing in environmental regulation[M]. Beijing:Science Press, 2014.
[10] Yang X. Urban remote sensing:Monitoring, synthesis and modeling in the urban environment[M]. New Jersey:John Wiley & Sons, 2011.
[11] Flynn K F, Chapra S C. Remote sensing of submerged aquatic vegetation in a shallow non-turbid river using an unmanned aerial vehicle[J]. Remote Sensing, 2014, 6(12):12815-12836.
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