Incorporating Rainwater Harvesting Systems in Iran’s Potable Water-Saving Scheme by Using a GIS-Simulation Based Decision Support System
| Autor: | Yie Ru Chiu, Babak Mohammadi, Kamaleddin Aghaloo |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Decision support system
gis-simulation lcsh:Hydraulic engineering 010504 meteorology & atmospheric sciences water-saving scheme Computer science Geography Planning and Development 010501 environmental sciences Aquatic Science Reuse 01 natural sciences Biochemistry Water consumption Rainwater harvesting Potable water lcsh:Water supply for domestic and industrial purposes lcsh:TC1-978 Simulation based 0105 earth and related environmental sciences Water Science and Technology lcsh:TD201-500 Multiple-criteria decision analysis Arid mcdm rainwater harvesting system Water resource management |
| Zdroj: | Water, Vol 12, Iss 3, p 752 (2020) Water Volume 12 Issue 3 |
| ISSN: | 2073-4441 |
| Popis: | Rainwater harvesting systems (RWHSs) have been accepted as a simple and effective approach to ease the worsening of urban water stress. However, in arid and semiarid regions, a comprehensive method for promoting domestic RWHSs in a large-scale water-saving scheme that incorporates water consumption reducing equipment (WCRE) and gray water reuse (GWR), has not been well developed. For this, based on the case study of Guilan Province, Iran, this study addressed the temporal-spatial complex of rainfall and proposed a GIS-simulation-based decision support system (DSS). Herein, two scenarios, i.e., the typical RWHS and the modified RWHS for arid areas, were tested and the associated economic analysis was performed and compared with WCRE and GWR. Moreover, for larger-scale implementation, the multiple criteria decision making (MCDM) technique was further applied to address the social-environmental complexity of these water-saving methods. Guilan Province has thereby been classified into three priority levels, providing a straightforward understanding of how to promote the large-scale water-saving scheme. Compared with the traditional generalized method, sensitivity analysis verified that this DSS enhanced the information value. Hence, the DSS that provides more holistic and comprehensive support has been identified as a useful tool to ease the threat of urban water stress. |
| Databáze: | OpenAIRE |
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