Supplying safe water in Bangladesh: A policy model based on multi-objective mixed integer programming

. At present, about 80 million people in Bangladesh are at risk of losing their health and having a sharply reduced life expectancy as a result of exposure to excessive arsenic through drinking water from tube wells. In this article, we build a multi‐objective mixed‐integer optimisation model, whic...

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Veröffentlicht in:	Papers in Regional Science Jg. 86; H. 1; S. 57 - 75
Hauptverfasser:	Akmam, Wardatul, Higano, Yoshiro
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Oxford, UK Blackwell Publishing Ltd 01.03.2007 Elsevier BV Springer
Schlagworte:	arsenic contamination Bangladesh Bgi / Prodig C61 Data analysis drinking water Human geography Linear models Mathematical models multi-objective mixed integer programming Pareto efficiency Pareto optimisation Poison Political and economic geography Pollution and nuisances Programming Public health Q25 Q53 Water supply Bangladesh Water Drinking water Multi-purpose programming Simulation Model Risk Water pollution Optimization
ISSN:	1056-8190, 1435-5957
Online-Zugang:	Volltext
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