Rooftop Rainwater Harvesting for Mombasa

Scenario Development with Image Classification and Water Resources Simulation

verfasst von

Robert O. Ojwang, Jörg Dietrich, Prajna Kasargodu Anebagilu, Matthias Beyer, Franz Rottensteiner

Abstract

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.

Organisationseinheit(en)

Institut für Hydrologie und Wasserwirtschaft
Institut für Photogrammetrie und Geoinformation

Externe Organisation(en)

CoastWater Services Board (CWSB)
Bundesanstalt für Geowissenschaften und Rohstoffe (BGR)

Typ

Artikel

Journal

Water (Switzerland)

Band

9

Anzahl der Seiten

19

ISSN

2073-4441

Publikationsdatum

20.05.2017

Publikationsstatus

Veröffentlicht

Peer-reviewed

Ja

ASJC Scopus Sachgebiete

Biochemie, Geografie, Planung und Entwicklung, Aquatische Wissenschaften, Gewässerkunde und -technologie

Ziele für nachhaltige Entwicklung

SDG 6 – Sauberes Wasser und sanitäre Einrichtungen, SDG 13 – Klimaschutzmaßnahmen

Elektronische Version(en)

https://doi.org/10.3390/w9050359 (Zugang: Offen)