Case Studies
Dec 23, 2021

Combining Water Resources, Socioenvironmental, and Psychological Factors in Assessing Willingness to Conserve Groundwater in the Vietnamese Mekong Delta

Publication: Journal of Water Resources Planning and Management
Volume 148, Issue 3

Abstract

Freshwater resources in coastal areas are under intense pressure from excessive groundwater extraction, which amplifies saltwater intrusion (SWI) into coastal freshwater aquifers, such as in the Mekong Delta. Studies that combine socioenvironmental data and households’ psychological factors next to salinity measurement data to design groundwater conservation strategies are rare. In this study, these aspects are combined to explore their influence on the public willingness to conserve groundwater using a Bayesian belief network model. We analyzed 313 household survey data spread over three districts in the coastal province of Tra Vinh, located in the Vietnamese Mekong Delta. The level of salinity is significantly correlated with the willingness to conserve groundwater. The top three socioenvironmental characteristics that influence willingness are the level of salinity, type of employment—i.e., being a farmer—and frequency of being exposed to groundwater or SWI promotional activities. Social norm, i.e., perceived social pressure, is the most influential psychological factor that determines willingness. This study reveals an urgency for the local government to intervene and create social pressure regarding the issue.

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Data Availability Statement

The following data, models, or code generated or used during the study are available from the corresponding author by request (data sets used and the BBN model).

Acknowledgments

We thank the SALINPROVE team for their collaboration and sharing the groundwater simulations analysis. We thank the Lamminga fund and IHE Delft Institute for Water Education for their financial support. A special thanks to Hai Dao Hong, Truyen Phu Nhat, Huy Nguyen Quoc, and Anh Vuong Tuan (VNUHCM-University of Technology) for their assistance during the fieldwork in the Tra Vinh province, May–June 2019, and A. Arifin for helping with the GIS modeling.

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Journal of Water Resources Planning and Management
Volume 148Issue 3March 2022

History

Received: Dec 1, 2020
Accepted: Oct 25, 2021
Published online: Dec 23, 2021
Published in print: Mar 1, 2022
Discussion open until: May 23, 2022

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Master Student, Dept. of Water Management, Faculty of Civil Engineering and Geosciences, Delft Univ. of Technology, 2628 CN Delft, Netherlands. ORCID: https://orcid.org/0000-0001-6881-3567
Doctoral Candidate, Dept. of Water Management, Faculty of Civil Engineering and Geosciences, Delft Univ. of Technology, 2628 CN Delft, Netherlands; Assistant Professor, Dept. of Health Behavior, Environment, and Social Medicine, Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada, 55281 Depok, Indonesia (corresponding author). ORCID: https://orcid.org/0000-0002-2664-2517. Email: [email protected]; [email protected]
Yong Jiang
Senior Lecturer, Dept. of Land and Water Management, IHE Delft Institute for Water Education, 2611 AX Delft, Netherlands.
Boris M. Van Breukelen
Associate Professor, Dept. of Water Management, Faculty of Civil Engineering and Geosciences, Delft Univ. of Technology, 2628 CN Delft, Netherlands.
Lisa Scholten
Assistant Professor, Dept. of Multi-actor System, Faculty of Technology, Policy and Management, Delft Univ. of Technology, 2628 BX Delft, Netherlands.
Saket Pande
Assistant Professor, Dept. of Water Management, Faculty of Civil Engineering and Geosciences, Delft Univ. of Technology, 2628 CN Delft, Netherland.

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