Decision Support Systems for Water Resources Management in Developing Countries: Learning from Experiences in Africa

被引:38
|
作者
Giupponi, Carlo [1 ,2 ]
Sgobbi, Alessandra [3 ]
机构
[1] Ca Foscari Univ Venice, Dept Econ, I-30121 Venice, Italy
[2] Ca Foscari Univ Venice, Euro Mediterranean Ctr Climate Change CMCC, I-30121 Venice, Italy
[3] United Nations Econ Commiss Africa, Addis Ababa, Ethiopia
关键词
decision support system; water resources management; developing countries; Africa; OLIFANTS RIVER-BASIN; FRAMEWORK; PARTICIPATION;
D O I
10.3390/w5020798
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Decision support system (DSS) tools are rather popular in the literature on water resources management. The European Project "Splash" conducted a survey of the literature and of DSS implementation in developing countries with specific reference on Africa. Experts in the field were consulted through an ad hoc questionnaire and interviews. The results of the survey indicate that the exchange of experiences amongst projects with similar objectives or even the same case study is very limited, with a tendency towards restarting every time from scratch. As a consequence, it seems that DSS developments have produced only limited positive impacts. Most experts contacted shared either the frustration deriving from the limited impacts on intended end-users, who rarely used the tool after the project end, or in the case of ongoing projects, the preoccupation for future maintenance. Responses from the questionnaires indicate that priority efforts should not focus on developing the tools, but rather on improving the effectiveness and applicability of integrated water resource management legislative and planning frameworks, training and capacity building, networking and cooperation, harmonization of transnational data infrastructures and, very importantly, learning from past experiences and adopting enhanced protocols for DSS development.
引用
收藏
页码:798 / 818
页数:21
相关论文
共 50 条
  • [21] A Framework for Decision Support for Learning Management Systems
    Murnion, Phelim
    Helfert, Markus
    [J]. PROCEEDINGS OF THE 10TH EUROPEAN CONFERENCE ON E-LEARNING, VOLS 1 AND 2, 2011, : 526 - 534
  • [22] Strategies for sustainable water resources management in water scarce regions in developing countries
    Feng, GZ
    [J]. INTEGRATED WATER RESOURCES MANAGEMENT, 2001, (272): : 107 - 112
  • [23] Application of decision support systems in water management
    Zhang, Kejiang
    Zargar, Amin
    Achari, Gopal
    Islam, M. Shafiqul
    Sadiq, Rehan
    [J]. ENVIRONMENTAL REVIEWS, 2014, 22 (03): : 189 - 205
  • [24] Decision-support systems for water management
    Wardropper, Chloe
    Brookfield, Andrea
    [J]. JOURNAL OF HYDROLOGY, 2022, 610
  • [25] Decision-support systems for water management
    Wardropper, Chloe
    Brookfield, Andrea
    [J]. JOURNAL OF HYDROLOGY, 2022, 610
  • [26] A Survey on Decision Support Systems in Water Management
    Arsene, Diana-Andreea
    Pahontu, Bogdan-Ionut
    Mocanu, Mariana
    [J]. PROCEEDINGS OF THE 2020 12TH INTERNATIONAL CONFERENCE ON ELECTRONICS, COMPUTERS AND ARTIFICIAL INTELLIGENCE (ECAI-2020), 2020,
  • [27] The use of decision support systems in water management
    Sweerts, JPRA
    Glas, PCG
    [J]. INTER-RELATIONSHIP BETWEEN IRRIGATION, DRAINAGE AND THE ENVIRONMENT IN THE ARAL SEA BASIN, 1996, 22 : 129 - 142
  • [28] Decision support systems used in water management
    Cioca, Marius
    Cioca, Lucian-Ionel
    Cioranu, Cosmin
    [J]. LECTURE NOTES ON ENERGY AND ENVIRONMENT, 2007, : 208 - +
  • [29] Web-based decision support in water resources management
    Mustajoki, Jyri
    Hamalainen, Raimo P.
    Marttunen, Mika
    [J]. PROCEEDINGS OF THE IASTED INTERNATIONAL CONFERENCE ON ENVIRONMENTALLY SOUND TECHNOLOGY IN WATER RESOURCES MANAGEMENT: SCIENCE AND TECHNOLOGY FOR DEVELOPMENT IN THE 21ST CENTURY, 2006, : 67 - +
  • [30] An intelligent hybrid decision support system for the management of water resources
    Kazeli, H
    Keravnou, E
    Christofides, TC
    [J]. INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, 2003, 17 (05) : 837 - 862