Where to measure water quality? Application to nitrogen pollution in a catchment in France

François Destandau and Youssef Zaiter
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François Destandau: UMR GESTE - Gestion Territoriale de l'Eau et de l'environnement - ENGEES - École Nationale du Génie de l'Eau et de l'Environnement de Strasbourg - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement, SAGE - Sociétés, Acteurs, Gouvernement en Europe - UNISTRA - Université de Strasbourg - CNRS - Centre National de la Recherche Scientifique
Youssef Zaiter: UMR GESTE - Gestion Territoriale de l'Eau et de l'environnement - ENGEES - École Nationale du Génie de l'Eau et de l'Environnement de Strasbourg - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement

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Abstract: Information on the water quality of rivers can be used to judge the effectiveness of past policies or to guide future environmental policies. Consequently, the location of water quality monitoring stations (WQMSs) plays an important role in river pollution control. In the 2000s, a literature developed on the optimization of WQMS location to identify pollution hot spots, average quality, or to minimize the detection time of a potential source of accidental pollution. This article is part of a new literature aimed at localizing WQMSs in order to optimize the economic value of information (EVOI) generated by water quality monitoring networks (WQMNs). The field of study is a catchment in northeastern France where the purpose of quality measurement is to define a policy of reduction of agricultural nitrogen fertilizers in order to reach the standard of 50 mg/l of nitrate at the WQMS. Agro-hydrological and economic models estimate the net benefit of input reduction depending on the location of the WQMS on the basis of different assumptions concerning the ecological damage generated by nitrate. We show that the magnitude of the ecological damage and, consequently, the perception of the contamination generated by nitrate in water, play a decisive role on the optimal location of the WQMS, as well as on the benefit of the economic optimization of locations, compared to traditional optimization. Locating WQMSs in a way that maximizes EVOI will be more attractive for very high or very low levels of damage. However, in this context, linking damage to nitrate concentration or to concentration coupled with riparian population density alone will have little impact.

Keywords: Water quality; Monitoring network; Economic value of information; Optimal locations of water quality monitoring stations; Nitrate pollution; Ecological damage (search for similar items in EconPapers)
Date: 2023
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Published in Journal of Environmental Management, 2023, 326, Part B, pp.116721. ⟨10.1016/j.jenvman.2022.116721⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-05156559

DOI: 10.1016/j.jenvman.2022.116721

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