Evidence map›Paper›PMID 27523602›Full record

ArticleEnvironmental monitoring and assessment2016

Modelling of faecal indicator bacteria (FIB) in the Red River basin (Vietnam).

Huong Thi Mai Nguyen, Gilles Billen, Josette Garnier, Emma Rochelle-Newall, Olivier Ribolzi, Pierre Servais, Quynh Thi Phuong Le

Abstract read
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Article in Environmental monitoring and assessment, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Huong Thi Mai NguyenInstitute of Natural Product Chemistry, Viet Nam Academy of Science and Technology, 18 Hoang Quoc Viet Road, Cau Giay, Ha Noi, Vietnam. huongmtv.ctc@gmail.com.
Gilles BillenCNRS and Université Pierre et Marie Curie, UMR 7619 METIS, Box 125, 4 Place Jussieu, 75005, Paris, France.
Josette GarnierCNRS and Université Pierre et Marie Curie, UMR 7619 METIS, Box 125, 4 Place Jussieu, 75005, Paris, France.
Emma Rochelle-NewalliEES-Paris (IRD, Sorbonne Universités, UPMC Univ Paris 06, CNRS, INRA, UPEC, Université Paris Diderot), CC237, 4 place Jussieu, 75005, Paris, France.
Olivier RibolziIRD, UMR 5563 GET, Université Paul Sabatier, 14 Av. Edouard Belin, F-31400, Toulouse, France.
Pierre ServaisUniversité Libre de Bruxelles, Ecologie des Systèmes Aquatiques, Campus Plaine, CP221, 1050, Bruxelles, Belgium.
Quynh Thi Phuong LeInstitute of Natural Product Chemistry, Viet Nam Academy of Science and Technology, 18 Hoang Quoc Viet Road, Cau Giay, Ha Noi, Vietnam.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many studies have been published on the use of models to assess water quality through faecal contamination levels. However, the vast majority of this work has been conducted in developed countries and similar studies from developing countries in tropical regions are lacking. Here, we used the Seneque/Riverstrahler model to investigate the dynamics and seasonal distribution of total coliforms (TC), an indicator of faecal contamination, in the Red River (Northern Vietnam) and its upstream tributaries. The results of the model showed that, in general, the overall correlations between the simulated and observed values of TC follow a 1:1 relationship at all examined stations. They also showed that TC numbers were affected by both land use in terms of human and livestock populations and by hydrology (river discharge). We also developed a possible scenario based on the predicted changes in future demographics and land use in the Red River system for the 2050 horizon. Interestingly, the results showed only a limited increase of TC numbers compared with the present situation at all stations, especially in the upstream Vu Quang station and in the urban Ha Noi station. This is probably due to the dominance of diffuse sources of contamination relative to point sources. The model is to our knowledge one of the first mechanistic models able to simulate spatial and seasonal variations of microbial contamination (TC numbers) in the whole drainage network of a large regional river basin covering both urban and rural areas of a developing country.

Indexed as

Models, TheoreticalAnimalsEnterobacteriaceaeEnvironmental MonitoringFecesHumansLivestockPopulation DensityRiversSeasonsVietnamWater PollutantsWater QualityWater PollutantsFaecal coliformsFuture scenariosPoint and non-point sourcesSub-tropical watershed modellingWater quality

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Registered trials

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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.