Evidence map›Paper›PMID 29470755›Full record

ArticleEnvironmental science and pollution research international2019

Water planning in a mixed land use Mediterranean area: point-source abstraction and pollution scenarios by a numerical model of varying stream-aquifer regime.

Mingxuan Du, Olivier Fouché, Elodie Zavattero, Qiang Ma, Olivier Delestre, Philippe Gourbesville

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Article in Environmental science and pollution research international, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Mingxuan DuPolytech'Lab, Université Nice-Sophia Antipolis, 930 Route des Colles, 06410, Biot, France.
Olivier FouchéGeF'Lab, EA4630 Geomatique & Foncier, Conservatoire National des Arts et Métiers, 2 rue Conté, 75003, Paris, France. olivier.fouche-grobla@lecnam.net.
Elodie ZavatteroPolytech'Lab, Université Nice-Sophia Antipolis, 930 Route des Colles, 06410, Biot, France.
Qiang MaPolytech'Lab, Université Nice-Sophia Antipolis, 930 Route des Colles, 06410, Biot, France.
Olivier DelestreJ.A. Dieudonné laboratory, UMR CNRS 7351, Université Nice-Sophia Antipolis, 06108, Nice, France.
Philippe GourbesvillePolytech'Lab, Université Nice-Sophia Antipolis, 930 Route des Colles, 06410, Biot, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Integrated hydrodynamic modelling is an efficient approach for making semi-quantitative scenarios reliable enough for groundwater management, provided that the numerical simulations are from a validated model. The model set-up, however, involves many inputs due to the complexity of both the hydrological system and the land use. The case study of a Mediterranean alluvial unconfined aquifer in the lower Var valley (Southern France) is useful to test a method to estimate lacking data on water abstraction by small farms in urban context. With this estimation of the undocumented pumping volumes, and after calibration of the exchange parameters of the stream-aquifer system with the help of a river model, the groundwater flow model shows a high goodness of fit with the measured potentiometric levels. The consistency between simulated results and real behaviour of the system, with regard to the observed effects of lowering weirs and previously published hydrochemistry data, confirms reliability of the groundwater flow model. On the other hand, accuracy of the transport model output may be influenced by many parameters, many of which are not derived from field measurements. In this case study, for which river-aquifer feeding is the main control, the partition coefficient between direct recharge and runoff does not show a significant effect on the transport model output, and therefore, uncertainty of the hydrological terms such as evapotranspiration and runoff is not a first-rank issue to the pollution propagation. The simulation of pollution scenarios with the model returns expected pessimistic outputs, with regard to hazard management. The model is now ready to be used in a decision support system by the local water supply managers.

Indexed as

Environmental PollutionGroundwaterModels, TheoreticalRiversWaterWater MovementsWater SupplyEnvironmental MonitoringFarmsFranceHydrologyReproducibility of ResultsWaterAgriculture impactFinite elementNumerical simulationRunoff coefficientUnconfined aquifer

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.