A Comparative Decision Support Systems for Water Resources Management
(*) Corresponding author
Due to their grave importance, management of water resources has been the focus of attention for many researchers and practitioners from different disciplines across the globe. Trying to capture the different factors going into the decisions related to such a complex task with all of their nuances and intricacies, many researchers have proposed and implemented water resource management systems. Building a Decision Support System (DSS) for this task with a holistic view and practical usage has eluded many researchers. In this work, a comparative study of the DSS proposed for Water Resources Management (WRM) is presented. Specifically, the focus is on the modeling and optimization efforts discussed in the literature for such systems and it is argued about their merits and how they can be combined. A specific region (that is arid and poor in terms of the available water resources) is taken as a case study and the discussion is tailored to this region. Authors’ aim is to help decision makers in this region as well regions of similar circumstances to address the WRM problem in a more effective and sustainable way.
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G. Martinsen, S. Liu, X. Mo, and P. Bauer-Gottwein, Joint optimization of water allocation and water quality management in haihe river basin, Science of the Total Environment, vol. 654, pp. 72–84, 2019.
S. Wang, G. Huang, and Y. Zhou, A fractional-factorial probabilistic-possibilistic optimization framework for planning water resources management systems with multi-level parametric interactions, Journal of environmental management, vol. 172, pp. 97–106, 2016.
B. Hart and J. Doolan, Decision Making in Water Resources Policy and Management: An Australian Perspective. Academic Press, 2017.
H. Fu, Z. Li, Z. Liu, and Z. Wang, Research on big data digging of hot topics about recycled water use on micro-blog based on particle swarm optimization, Sustainability, vol. 10, no. 7, p. 2488, 2018.
R. A. Wurbs, Reservoir-system simulation and optimization models, Journal of water resources planning and management, vol. 119, no. 4, pp. 455–472, 1993.
A.-T. Stamou, Water resources optimization using the nexus approach, Ph.D. dissertation, Universitat Munchen, 2019.
H. Wang, T. Asefa, D. Bracciano, A. Adams, and N. Wanakule, Proactive water shortage mitigation integrating system optimization and input uncertainty, Journal of Hydrology, vol. 571, pp. 711–722, 2019.
B. Dobson, T. Wagener, and F. Pianosi, An argument-driven classification and comparison of reservoir operation optimization methods, Advances in Water Resources, 2019.
H. Wang, W. Wang, Z. Cui, X. Zhou, J. Zhao, and Y. Li, A new dynamic firefly algorithm for demand estimation of water resources, Information Sciences, vol. 438, pp. 95–106, 2018.
S. I. Perez-Uresti, J. M. Ponce-Ortega, and A. Jim ´ enez-Guti ´ errez, A multi-objective optimization approach for sustainable water management for places with over-exploited water resources, Computers & Chemical Engineering, vol. 121, pp. 158–173, 2019.
Lopez and S. Haines, Exploring the usability of probabilistic weather forecasts for water resources decision-making in the united kingdom, Weather, Climate, and Society, vol. 9, no. 4, pp. 701–715, 2017.
Z. Kundzewicz, V. Krysanova, R. Benestad, Ø. Hov, M. Piniewski, and I. Otto, Uncertainty in climate change impacts on water resources, Environmental Science & Policy, vol. 79, pp. 1–8, 2018.
D. P. Loucks and E. Van Beek, Water resource systems planning and management: An introduction to methods, models, and applications. Springer, 2017.
Mayer and A. Munoz-Hernandez, Integrated water resources optimization models: an assessment of a multidisciplinary tool for sustainable water resources management strategies, Geography Compass, vol. 3, no. 3, pp. 1176–1195, 2009.
P. C. Stern, O. R. Young, and D. E. Druckman, Global environmental change: Understanding the human dimensions. National Academy Press, 1992.
Z. Li, C. Li, X. Wang, C. Peng, Y. Cai, and W. Huang, A hybrid system dynamics and optimization approach for supporting sustainable water resources planning in zhengzhou city, china, Journal of hydrology, vol. 556, pp. 50–60, 2018.
D. E. Rosenberg, Blended near-optimal alternative generation, visualization, and interaction for water resources decision making, Water Resources Research, vol. 51, no. 4, pp. 2047–2063, 2015.
M. E. Banihabib, F.-S. Hashemi-Madani, and A. Forghani, Comparison of compensatory and non-compensatory multi criteria decision making models in water resources strategic management, Water Resources Management, vol. 31, no. 12, pp. 3745–3759, 2017.
D. Staszek, D. Savic, and G. Fu, Decision making methods for water resources planning in england and wales, EPiC Series in Engineering, vol. 3, pp. 2011–2018, 2018.
G. Tayfur, Modern optimization methods in water resources planning, engineering and management, Water Resources Management, vol. 31, no. 10, pp. 3205–3233, 2017.
F. Dong, Y. Liu, H. Su, Z. Liang, R. Zou, and H. Guo, Uncertaintybased multi-objective decision making with hierarchical reliability analysis under water resources and environmental constraints, Water resources management, vol. 30, no. 2, pp. 805–822, 2016.
G. Bhave, D. Conway, S. Dessai, and D. A. Stainforth, Water resource planning under future climate and socioeconomic uncertainty in the cauvery river basin in karnataka, india, Water resources research, vol. 54, no. 2, pp. 708–728, 2018.
S. Wang and G. Huang, A multi-level taguchi-factorial two-stage stochastic programming approach for characterization of parameter uncertainties and their interactions: An application to water resources management, European Journal of Operational Research, vol. 240, no. 2, pp. 572–581, 2015.
Afshar, F. Massoumi, A. Afshar, and M. A. Marino, State of the art review of ant colony optimization applications in water resource management, Water Resources Management, vol. 29, no. 11, pp. 3891– 3904, 2015.
M. Brown, J. R. Lund, X. Cai, P. M. Reed, E. A. Zagona, A. Ostfeld, J. Hall, G. W. Characklis, W. Yu, and L. Brekke, The future of water resources systems analysis: Toward a scientific framework for sustainable water management, Water resources research, vol. 51, no. 8, pp. 6110–6124, 2015.
Ren, Z. Li, and H. Zhang, Integrated multi-objective stochastic fuzzy programming and ahp method for agricultural water and land optimization allocation under multiple uncertainties, Journal of Cleaner Production, vol. 210, pp. 12–24, 2019.
Fürst, J., G. Girstmair, and H. P. Nachtnebel. Application of GIS in decision support systems for groundwater management. IAHS PUBLICATION (1993): 13-13.
G. Carlo, and A. Sgobbi. Decision support systems for water resources management in developing countries: Learning from experiences in Africa. Water 5.2 (2013): 798-818.
Nabri, H., Ouazar, D., Hasnaoui, M., Spatial Data Warehouse Modeling at the Watershed Scale. Part 1: Design Aspects, (2015) International Journal on Information Technology (IREIT), 3 (4), pp. 124-130.
Jordan Water resources Map.
Suliman, A., Darus, I., Katimon, A., GIS-Based Rainfall-Runoff Neuro Model for Streamflow Prediction, (2017) International Review of Civil Engineering (IRECE), 8 (5), pp. 235-240.
Echchikhi, A., Gueraoui, K., El Rhaleb, H., Mathematical and Numerical Modeling of Desalination of Seawater, (2017) International Review of Civil Engineering (IRECE), 8 (2), pp. 57-63.
Olatinwo, S., Joubert, T., Maximizing the Throughput and Fairness of a Water Quality Monitoring Wireless Sensor Network System, (2018) International Journal on Communications Antenna and Propagation (IRECAP), 8 (6), pp. 448-460.
Supakosol, J., Kangrang, A., Climate Change Impact on Water Quality in Song Khram Basin, Thailand, (2016) International Review of Civil Engineering (IRECE), 7 (6), pp. 176-184.
Ghazi, M., Essadiqi, E., Mada, M., Faqir, M., Benabdellah, A., Optimal Number of Effects for Multi Effect Evaporation Seawater Desalination Process Using Solar Thermal Energy-Plate Evaporators, (2018) International Journal on Energy Conversion (IRECON), 6 (3), pp. 98-105.
Ghazi, M., Essadiqi, E., Mada, M., Faqir, M., Benabdellah, A., Seawater Desalination Pilot Plant: Optimal Design and Sizing of Solar Driven-Four Effect Evaporators Combined with Heat Integration Analysis, (2017) International Review on Modelling and Simulations (IREMOS), 10 (3), pp. 177-192.
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