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Open AccessArticle

Ranking of Storm Water Harvesting Sites Using Heuristic and Non-Heuristic Weighing Approaches

1
Civil Engineering Department, Indian Institute of Technology, Roorkee 247667, Uttarakhand, India
2
Water Science and Engineering Department, IHE Delft Institute for Water Education, 2611 AX Delft, The Netherlands
*
Author to whom correspondence should be addressed.
Water 2017, 9(9), 710; https://doi.org/10.3390/w9090710
Received: 31 July 2017 / Revised: 30 August 2017 / Accepted: 12 September 2017 / Published: 16 September 2017
(This article belongs to the Special Issue Sponge Cities: Emerging Approaches, Challenges and Opportunities)
Conservation of water is essential as climate change coupled with land use changes influence the distribution of water availability. Stormwater harvesting (SWH) is a widely used conservation measure, which reduces pressure on fresh water resources. However, determining the availability of stormwater and identifying the suitable sites for SWH require consideration of various socio-economic and technical factors. Earlier studies use demand, ratio of runoff to demand and weighted demand distance, as the screening criteria. In this study, a Geographic Information System (GIS) based screening methodology is adopted for identifying potential suitable SWH sites in urban areas as a first pass, and then a detailed study is done by applying suitability criteria. Initially, potential hotspots are identified by a concept of accumulated catchments and later the sites are screened and ranked using various screening parameters namely demand, ratio of runoff to demand and weighted demand distance. During this process, the opinion of experts for finalizing the suitable SWH sites brings subjectivity in the methodology. To obviate this, heuristic (Saaty Analytic hierarchy process (AHP)) and non-heuristic approaches (Entropy weight, and Principal Component Analysis (PCA) weighing techniques) are adapted for allotting weights to the parameters and applied in the ranking of SWH sites in Melbourne, Australia and Dehradun, India. It is observed that heuristic approach is not effective for the study area as it was affected by the subjectivity in the expert opinion. Results obtained by non-heuristic approach come out to be in a good agreement with the sites finalized for SWH by the water planners of the study area. Hence, the proposed ranking methodology has the potential for application in decision making of suitable storm water harvesting sites. View Full-Text
Keywords: stormwater harvesting; rainfall; surface runoff; GIS; suitable sites; Saaty AHP; entropy weight method; PCA; decision making stormwater harvesting; rainfall; surface runoff; GIS; suitable sites; Saaty AHP; entropy weight method; PCA; decision making
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MDPI and ACS Style

Pathak, S.; Ojha, C.S.P.; Zevenbergen, C.; Garg, R.D. Ranking of Storm Water Harvesting Sites Using Heuristic and Non-Heuristic Weighing Approaches. Water 2017, 9, 710. https://doi.org/10.3390/w9090710

AMA Style

Pathak S, Ojha CSP, Zevenbergen C, Garg RD. Ranking of Storm Water Harvesting Sites Using Heuristic and Non-Heuristic Weighing Approaches. Water. 2017; 9(9):710. https://doi.org/10.3390/w9090710

Chicago/Turabian Style

Pathak, Shray; Ojha, Chandra S.P.; Zevenbergen, Chris; Garg, Rahul D. 2017. "Ranking of Storm Water Harvesting Sites Using Heuristic and Non-Heuristic Weighing Approaches" Water 9, no. 9: 710. https://doi.org/10.3390/w9090710

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