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A Water Evaluation and Planning-based framework for the long-term prediction of urban water demand and supply
Author(s) -
Arfa Saleem,
Imran Mahmood,
Hessam S. Sarjoughian,
Hasan Arshad Nasir,
Asad Waqar Malik
Publication year - 2021
Publication title -
simulation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.301
H-Index - 48
eISSN - 1741-3133
pISSN - 0037-5497
DOI - 10.1177/0037549720984250
Subject(s) - demand management , integrated water resources management , water supply , water resources , supply and demand , water conservation , urbanization , environmental economics , water scarcity , water resource management , business , resource (disambiguation) , demand patterns , environmental resource management , environmental science , computer science , environmental engineering , economics , ecology , computer network , macroeconomics , biology , microeconomics , economic growth
Increased usage and non-efficient management of limited resources has created the risk of water resource scarcity. Due to climate change, urbanization, and lack of effective water resource management, countries like Pakistan are facing difficulties coping with the increasing water demand. Rapid urbanization and non-resilient infrastructures are the key barriers in sustainable urban water resource management. Therefore, there is an urgent need to address the challenges of urban water management through effective means. We propose a workflow for the modeling and simulation of sustainable urban water resource management and develop an integrated framework for the evaluation and planning of water resources in a typical urban setting. The proposed framework uses the Water Evaluation and Planning system to evaluate current and future water demand and the supply gap. Our simulation scenarios demonstrate that the demand–supply gap can effectively be dealt with by dynamic resource allocation, in the presence of assumptions, for example, those related to population and demand variation with the change of weather, and thus work as a tool for informed decisions for supply management. In the first scenario, 23% yearly water demand is reduced, while in the second scenario, no unmet demand is observed due to the 21% increase in supply delivered. Similarly, the overall demand is fulfilled through 23% decrease in water demand using water conservation. Demand-side management not only reduces the water usage in demand sites but also helps to save money, and preserve the environment. Our framework coupled with a visualization dashboard deployed in the water resource management department of a metropolitan area can assist in water planning and effective governance.

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