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Assessing and selecting interventions for river water quality improvement within the context of population growth and urbanization: a case study of the Cau River basin in Vietnam

Pham Thi Thu Ha (), Nomessi Kokutse (), Sophie Duchesne (), Jean-Pierre Villeneuve (), Alain Bélanger (), Ha Ngoc Hien (), Babacar Toumbou () and Duong Ngoc Bach ()
Additional contact information
Pham Thi Thu Ha: INRS Centre Eau Terre Environnement (INRS-ETE)
Nomessi Kokutse: INRS Centre Eau Terre Environnement (INRS-ETE)
Sophie Duchesne: INRS Centre Eau Terre Environnement (INRS-ETE)
Jean-Pierre Villeneuve: INRS Centre Eau Terre Environnement (INRS-ETE)
Alain Bélanger: INRS Centre Urbanisation Culture Société (INRS-UCS)
Ha Ngoc Hien: Vietnam Academy of Science and Technology
Babacar Toumbou: INRS Centre Eau Terre Environnement (INRS-ETE)
Duong Ngoc Bach: VNU University of Science

Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, 2017, vol. 19, issue 5, No 7, 1729 pages

Abstract: Abstract In this study, a multi-criteria methodology is proposed to identify and prioritize interventions for water quality improvement with the aid of computer simulation models. The methodology can be used to elaborate and compare future socio-economic development scenarios to select the best interventions based on three criteria: (1) ideas of experts and stakeholders about the importance of scenarios, (2) impacts of each scenario on surface water quality in watershed, and (3) benefit–cost analysis for each scenario. A score is computed for each scenario based on a weighted sum technique which enables to take into consideration different level of importance for the three criteria. The methodology is applied to Cau River basin in Vietnam, with the aid of a computer tool, to assess interventions for river water quality improvement within the context of population growth and urbanization. The results show that fast future population growth in upstream has significant impacts. In 2020, an increase of 116 % of the population in Bac Kan town can lead to an increase of 120 and 135 % in BOD5 and NH4 + median concentrations, respectively, with the implementation of a treatment plant for 10,000 people in Bac Kan town. Therefore, the increase of the domestic wastewater treatment plant’s capacity in Bac Kan town, at least twice as the projection of local government, is necessary. These results will help decision makers to select the best interventions for Cau River basin management.

Keywords: Multi-criteria methodology; Water quality; Integrated watershed management; GIBSI; Scenario analysis; Cau river basin (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (2)

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DOI: 10.1007/s10668-016-9822-7

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