Evidence map›Paper›PMID 26006074›Full record

ArticleEnvironmental science and pollution research international2015

Performance of different assessment methods to evaluate contaminant sources and fate in a coastal aquifer.

C Sbarbati, N Colombani, M Mastrocicco, R Aravena, M Petitta

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Article in Environmental science and pollution research international, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
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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

5 authors.

C SbarbatiDepartment of Earth Sciences, "Sapienza" University, P.le A. Moro 5, 00185, Rome, Italy.
N ColombaniDepartment of Earth Sciences, "Sapienza" University, P.le A. Moro 5, 00185, Rome, Italy. nicolo.colombani@uniroma1.it.
M MastrociccoDepartment of Physics and Earth Sciences, University of Ferrara, Via Saragat 1, 44122, Ferrara, Italy.
R AravenaDepartment of Earth and Environmental Sciences, University of Waterloo, Waterloo, ON, Canada.
M PetittaDepartment of Earth Sciences, "Sapienza" University, P.le A. Moro 5, 00185, Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present study deals with the application of different monitoring techniques and numerical models to characterize coastal aquifers affected by multiple sources of contamination. Specifically, equivalent freshwater heads in 243 monitoring wells were used to reconstruct the piezometric map of the studied aquifer; flow meter tests were carried out to infer vertical groundwater fluxes at selected wells; deuterium and oxygen isotopes were used to identify the groundwater origin, and tritium was analyzed to estimate the residence time; compound-specific isotope analyses and microbial analyses were employed to track different sources of contamination and their degradation; numerical modelling was used to estimate and verify groundwater flow direction and magnitude throughout the aquifer. The comparison of the information level for each technique allowed determining which of the applied approaches showed the best results to locate the possible sources and better understanding of the fate of the contaminants. This study reports a detailed site characterization process and outcomes for a coastal industrial site, where a comprehensive conceptual model of pollution and seawater intrusion has been built using different assessment methods. Information and results from this study encourages combining different methods for the design and implementation of the monitoring activities in real-life coastal contaminated sites in order to develop an appropriate strategy for control and remediation of the contamination.

Indexed as

GroundwaterHumansItalyOxygenSeawaterWater MicrobiologyWater Pollutants, ChemicalWater QualityOxygenWater Pollutants, ChemicalCharacterization techniquesCoastal environmentConceptual modelContaminants monitoringInorganic and organic contaminantsPolluted site

Identifiers

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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.