Rooftop Rainwater Harvesting for Mombasa: Scenario Development with Image Classification and Water Resources Simulation

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Autoren

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

Externe Organisationen

  • CoastWater Services Board (CWSB)
  • Bundesanstalt für Geowissenschaften und Rohstoffe (BGR)
Forschungs-netzwerk anzeigen

Details

OriginalspracheEnglisch
Aufsatznummer359
Seitenumfang19
FachzeitschriftWater (Switzerland)
Jahrgang9
Ausgabenummer5
PublikationsstatusVeröffentlicht - 20 Mai 2017

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.

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Rooftop Rainwater Harvesting for Mombasa: Scenario Development with Image Classification and Water Resources Simulation. / Ojwang, Robert O.; Dietrich, Jörg; Anebagilu, Prajna Kasargodu et al.
in: Water (Switzerland), Jahrgang 9, Nr. 5, 359, 20.05.2017.

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

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T2 - Scenario Development with Image Classification and Water Resources Simulation

AU - Ojwang, Robert O.

AU - Dietrich, Jörg

AU - Anebagilu, Prajna Kasargodu

AU - Beyer, Matthias

AU - Rottensteiner, Franz

N1 - Publisher Copyright: © 2017 by the authors. Copyright: Copyright 2017 Elsevier B.V., All rights reserved.

PY - 2017/5/20

Y1 - 2017/5/20

N2 - 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.

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KW - Mombasa

KW - Roof rainwater harvesting

KW - Water demand

KW - Water supply

KW - WEAP

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DO - 10.3390/w9050359

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JO - Water (Switzerland)

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