Design of environmental decision support system and its application to water quality management

被引:0
|
作者
Zeng Fan-tang
Du Ling
Lin Kui
Shen Qian
机构
[1] SEPA,South China Institute of Environmental Sciences
关键词
EDSS; GIS; DBMS; water quality zoning; the Pearl River Delta; N945.1; X144; A;
D O I
10.1007/BF02888687
中图分类号
学科分类号
摘要
EDSS is a comprehensive software system for water quality management in tidal river networks in general and for the Pearl River Delta in particular. Its purpose is to provide a practical tool that could assist government agencies in decision making for the efficient management of water resources in terms of both quantity and quality. By combining the capabilities of geographical information system (GIS), database management system (DBMS), model base management system (MBMS) and expert system, the aim is to improve the quality of decision making in what is becoming an increasingly complex area. This paper first outlines the basic concepts and philosophy adopted in developing EDSS, the system architecture, design features, implementation techniques and facilities provided. Thereafter, the core part of the system—the hydrodynamic and water quality models are described briefly. The final contribution in this paper describes the application of EDSS to the Pearl River Delta, which has the most complicated tidal river network patterns as well as the fastest economic development in the world. Examples are given of the real-world problems that can be addressed using the system, including cross-boundary water pollution analysis, regional drinking water take-up site selection, screening of important polluters, environmental impact assessment, and water quality zoning and planning. It is illustrated that EDSS can provide efficient and scientific analytical tools for planning and decision-making purposes in the information era.
引用
收藏
页码:170 / 178
页数:8
相关论文
共 50 条
  • [21] Design of a Web Environmental Decision Support System
    Parisi, F.
    Giansante, C.
    Iacobellis, G.
    Rotunno, G.
    2019 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC), 2019, : 686 - 691
  • [22] Decision Support Tools for Water Quality Management
    Quinn, Nigel W. T.
    Dinar, Ariel
    Sridharan, Vamsi
    WATER, 2022, 14 (22)
  • [23] DECISION SUPPORT TOOLS FOR WATER QUALITY MANAGEMENT
    Maria, Cheveresan
    Cristian, Dinu
    Radu, Drobot
    GEOCONFERENCE ON WATER RESOURCES, FOREST, MARINE AND OCEAN ECOSYSTEMS, VOL I (SGEM 2014), 2014, : 199 - 206
  • [24] Decision support for estuarine water quality management
    Arnold, Uwe
    Orlob, Gerald T.
    Journal of Water Resources Planning and Management, 1989, 115 (06) : 775 - 792
  • [25] Design and implementation of an environmental decision support system
    Booty, WG
    Lam, DCL
    Wong, IWS
    Siconolfi, P
    ENVIRONMENTAL MODELLING & SOFTWARE, 2001, 16 (05) : 453 - 458
  • [26] Application of decision support systems in water management
    Zhang, Kejiang
    Zargar, Amin
    Achari, Gopal
    Islam, M. Shafiqul
    Sadiq, Rehan
    ENVIRONMENTAL REVIEWS, 2014, 22 (03): : 189 - 205
  • [27] Decision support systems in water resources and environmental management
    Hipel, Keith W.
    Fang, Liping
    Kilgour, D. Marc
    JOURNAL OF HYDROLOGIC ENGINEERING, 2008, 13 (09) : 761 - 770
  • [28] An Integrated Decision Support System for Water Quality Management of Songhua River Basin
    Zhang, Haiping
    Yin, Qiuxiao
    Chen, Ling
    2ND INTERNATIONAL SYMPOSIUM ON AQUA SCIENCE, WATER RESOURCE AND LOW CARBON ENERGY, 2010, 1251 : 400 - 403
  • [29] Application of water quality modelling as a decision support system tool for planned Buyuk Melen reservoir and its watershed
    Erturk, Ali
    Ekdal, Alpaslan
    Gurel, Melike
    Zorlutuna, Yigit
    Tavsan, Cigdem
    Seker, Dursun Zafer
    Tanik, Aysegul
    Ozturk, Izzet
    SUSTAINABLE USE AND DEVELOPMENT OF WATERSHEDS, 2008, : 227 - +
  • [30] Designing a water resources management decision support system: An application of the WSR approach
    Gu, JF
    Tang, XJ
    SYSTEMIC PRACTICE AND ACTION RESEARCH, 2000, 13 (01) : 59 - 70