A Survey on Decision Support Systems in Water Management

Water is one of the most important resources for survival and it is extremely necessary to make good decisions regarding its management. The technology has advanced and offers us Decision Support Systems (DSS), using complex solutions. In recent decades, the number of DSSs developed for water resource management has grown significantly, and computer systems have become more complex by integrating water management processes, Internet of things (IoT) sensors, multi-criteria decisions and why not even serious games. The involvement of several stakeholders in the decision-making process has high importance for a successful DSS, facilitating the analysis of approaches from different fields. In order to find a cost-efficient balance in managing water resources, it is necessary to reach several objectives in different fields. The current paper aims to make a brief review of technological development and integration to highlight the socio-economic benefits.

[1]  Carmen Teodosiu,et al.  An overview of decision support systems for integrated water resources management , 2009 .

[2]  P ? ? ? ? ? ? ? % ? ? ? ? , 1991 .

[3]  Rehan Sadiq,et al.  Application of decision support systems in water management , 2014 .

[4]  Aitor Corchero,et al.  Towards an Enhanced Knowledge-based Decision Support System (DSS) for Integrated Water Resource Management (IWRM) , 2014 .

[5]  Carlo Giupponi,et al.  Decision Support Systems for implementing the European Water Framework Directive: The MULINO approach , 2007, Environ. Model. Softw..

[6]  Carlo Giupponi,et al.  Decision Support Systems for Water Resources Management in Developing Countries: Learning from Experiences in Africa , 2013 .

[7]  René Bauer,et al.  A review of water-related serious games to specify use in environmental Multi-Criteria Decision Analysis , 2018, Environ. Model. Softw..

[8]  R. Barker,et al.  The outlook for water resources in the year 2020: challenges for research on water management in rice production. , 2000 .

[9]  Oliver Zwirner,et al.  Participation in multi-criteria decision support for the resolution of a water allocation problem in the Spree River basin , 2006 .

[10]  Tsuyoshi Murata,et al.  {m , 1934, ACML.

[11]  Carlo Giupponi,et al.  Decision Support for Water Resource Management: An Application Example of the MULINO DSS. , 2002 .

[12]  Jose Rivera-Mejia,et al.  Intelligent sensor with data fusion to improve the care and management of water , 2011, 2011 IEEE International Instrumentation and Measurement Technology Conference.

[13]  Lisa Scholten,et al.  Structured decision-making for sustainable water infrastructure planning and four future scenarios , 2015 .

[14]  Mark S. Morley,et al.  Serious Gaming for Water Systems Planning and Management , 2016 .

[15]  Klemen Kenda,et al.  IoT Middleware for Water Management , 2018, Proceedings.

[16]  Carlo Vercellis,et al.  Business Intelligence: Data Mining and Optimization for Decision Making , 2009 .

[17]  Carlo Giupponi,et al.  Towards the development of a decision support system for water resource management , 2005, Environ. Model. Softw..

[19]  Dorothee Spuhler,et al.  The Potential of Knowing More: A Review of Data-Driven Urban Water Management. , 2017, Environmental science & technology.