Media type: Text; E-Article Title: Rooftop rainwater harvesting for Mombasa: Scenario development with image classification and water resources simulation Contributor: Ojwang, Robert O. [Author]; Dietrich, Jörg [Author]; Anebagilu, Prajna Kasargodu [Author]; Beyer, Matthias [Author]; Rottensteiner, Franz [Author] imprint: Basel : MDPI AG, 2017 Published in: Water 9 (2017), Nr. 5 Issue: published Version Language: English DOI: https://doi.org/10.15488/1733; https://doi.org/10.3390/w9050359 ISSN: 2073-4441 Keywords: Harvesting ; Image classification ; Roof rainwater harvesting ; Climate change ; Economics ; Integrated water resources management ; Water supply ; WEAP ; Rain ; Mombasa ; Water resources ; Water demand ; Rain water harvesting ; Population statistics ; Roofs Origination: Footnote: Diese Datenquelle enthält auch Bestandsnachweise, die nicht zu einem Volltext führen. Description: Mombasa faces severe water scarcity problems. The existing supply is unable to satisfy the demand. This article demonstrates the combination of satellite image analysis and modelling as tools for the development of an urban rainwater harvesting policy. For developing a sustainable remedy policy, rooftop rainwater harvesting (RRWH) strategies were implemented into the water supply and demand model WEAP (Water Evaluation and Planning System). Roof areas were detected using supervised image classification. Future population growth, improved living standards, and climate change predictions until 2035 were combined with four management strategies. Image classification techniques were able to detect roof areas with acceptable accuracy. The simulated annual yield of RRWH ranged from 2.3 to 23 million cubic meters (MCM) depending on the extent of the roof area. Apart from potential RRWH, additional sources of water are required for full demand coverage. © 2017 by the authors. ; DAAD Access State: Open Access Rights information: Attribution (CC BY)