Scenario-based drinking water demand forecasting under climate change uncertainties: a study on Dhaka City, Bangladesh

The Science of The Total Environment, vol. 1012, pp. 181198

Abstract

• Single-variable based approach for water demand forecasting overlooks the future complexity • Water pricing, population growth and climatic condition are crucial in determining the demand • Forecasted models shows that by 2028 the study area would face drinking water shortage • Under worst-case scenarios, demand could reach 4454 MLD, creating a significant supply-demand gap • Scenario-based forecasting would be useful in diversifying the water extraction sources

Authors 5

1. Md. Faysal Tareq Aachen Institute of Environmental Sciences (CML)

   Leiden University

   Affiliation as printed

   Institute of Environmental Sciences (CML), Leiden University, Einsteinweg 2, 2333CC, Leiden, the Netherlands

2. Adriaan R. Mels

   Wageningen University & Research

   Affiliation as printed

   Environmental Technology, Wageningen University and Research, P.O. Box 17, 6700AA, Wageningen, the Netherlands; Vitens Evides International, Reactorweg 47, 3542, AD, Utrecht, the Netherlands

3. Romano Radjkoemar
   Affiliation as printed

   Vitens Evides International, Reactorweg 47, 3542, AD, Utrecht, the Netherlands

4. Katarzyna Kujawa-Roeleveld

   Wageningen University & Research

   Affiliation as printed

   Environmental Technology, Wageningen University and Research, P.O. Box 17, 6700AA, Wageningen, the Netherlands

5. Kamonashish Haldar corresponding

   Wageningen University & Research

   Affiliation as printed

   Environmental Technology, Wageningen University and Research, P.O. Box 17, 6700AA, Wageningen, the Netherlands. Electronic address: Kamonashish.haldar@wur.nl