Water demand modelling using evolutionary computation techniques: integrating water equity and justice for realization of the sustainable development goals.

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ID: 71309
2019
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Abstract
The purpose of this review is to establish and classify the diverse ways in which evolutionary computation (EC) techniques have been employed in water demand modelling and to identify important research challenges and future directions. This review also investigates the potentials of conventional EC techniques in influencing water demand management policies beyond an advisory role while recommending strategies for their use by policy-makers with the sustainable development goals (SDGs) in perspective. This review ultimately proposes a novel integrated water demand and management modelling framework (IWDMMF) that enables water policy-makers to assess the wider impact of water demand management decisions through the principles of egalitarianism, utilitarianism, libertarianism and sufficientarianism. This is necessary to ensure that water policy decisions incorporate equity and justice.
Reference Key
oyebode2019waterheliyon Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Oyebode, Oluwaseun;Babatunde, Damilola E;Monyei, Chukwuka G;Babatunde, Olubayo M;
Journal Heliyon
Year 2019
DOI
10.1016/j.heliyon.2019.e02796
URL
Keywords
Environmental Science artificial intelligence hydrology sustainable development goals process modeling applied computing civil engineering computing methodology evolutionary computation water demand water equity water justice

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