Evidence map›Paper›PMID 35674878›Full record

ArticleAmbio2022

A multi-pronged approach to source attribution and apportionment of heavy metals in urban rivers.

Priyanka Jamwal, Divya Nayak, Praveen Raje Urs, Mohamed Zuhail Thatey, Malavika Gopinath, Mohammad Idris, Sharachchandra Lele

Abstract read
In one paragraph

Article in Ambio, 2022. 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
–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

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.

Priyanka JamwalCentre for Environment and Development, Ashoka Trust for Research in Ecology and the Environment, Jakkur, Bengaluru, India. priyanka.jamwal@atree.org.ORCID http://orcid.org/0000-0003-4630-5670
Divya NayakCentre for Environment and Development, Ashoka Trust for Research in Ecology and the Environment, Jakkur, Bengaluru, India.
Praveen Raje UrsCentre for Environment and Development, Ashoka Trust for Research in Ecology and the Environment, Jakkur, Bengaluru, India.
Mohamed Zuhail ThateyCentre for Environment and Development, Ashoka Trust for Research in Ecology and the Environment, Jakkur, Bengaluru, India.
Malavika GopinathCentre for Environment and Development, Ashoka Trust for Research in Ecology and the Environment, Jakkur, Bengaluru, India.
Mohammad IdrisCentre for Environment and Development, Ashoka Trust for Research in Ecology and the Environment, Jakkur, Bengaluru, India.
Sharachchandra LeleCentre for Environment and Development, Ashoka Trust for Research in Ecology and the Environment, Jakkur, Bengaluru, India.

Funding

Department of Science and Technology, Ministry of Science and Technology SERC/ET-0252/2010International Development Research Centre 107086-001
6 · The paper itself

Abstract

Heavy metal (HM) contamination of water bodies is caused by both first generation (industries) and second generation (distributed sources, domestic sewage, sediments) sources. We applied a multi-pronged approach to quantify the contribution of first and second generation sources to the HM load in a stream located in an industrialised catchment. We found that, despite strict regulation, first generation sources contributed significantly to the HM load (60%-80%), showing the ineffectiveness of current regulation. Domestic sewage contributed significantly to Cu, Ni, and Mn load (15%-20%). The contribution of distributed sources and sediments to HM load is insignificant. In a 24-hour cycle, HM concentrations frequently exceeded FAO's irrigation water quality standards, with the highest concentrations observed at night. Empirically, the study highlights the continued plight of urban streams in rapidly industrialising centers and the failure to regulate first-generation sources. Methodologically, it demonstrates the importance of temporally intensive measurement of contaminant concentration and load. Policy implications include the need for ambient water quality standards, inclusion of HMs in such standards, load-based regulation, and a problem-oriented monitoring and enforcement approach.

Indexed as

Metals, HeavyWater Pollutants, ChemicalChinaEnvironmental MonitoringGeologic SedimentsRisk AssessmentRiversSewageMetals, HeavySewageWater Pollutants, ChemicalDomestic wastewaterHeavy metalsIndustrial effluentsIndustrial pollution regulationSource apportionmentWater quality monitoring

Identifiers

PMID35674878
PMCPMC9378809

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

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.