ArticleHeliyon2016
Impacts of a flash flood on drinking water quality: case study of areas most affected by the 2012 Beijing flood.
Article in Heliyon, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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.
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.
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Who cites it
8 citing papers in PubMed, 34 citations in OpenAlex.
- Article
- Article
- Flood vulnerability of a few areas in the foothills of the Western Ghats: a comparison of AHP and F-AHP models.Stochastic environmental research and risk assessment : research journal · 2023Article
- Assessment of the impact of flood on groundwater hydrochemistry and its suitability for drinking and irrigation in the River Periyar Lower Basin, India.Environmental science and pollution research international · 2022Article
- Narrative Review of Primary Preventive Interventions against Water-Borne Diseases: Scientific Evidence of Health-EDRM in Contexts with Inadequate Safe Drinking Water.International journal of environmental research and public health · 2021Review
- Climate Change, Water Quality and Water-Related Challenges: A Review with Focus on Pakistan.International journal of environmental research and public health · 2020Review
- Microbiological Assessment of Tap Water Following the 2016 Louisiana Flooding.International journal of environmental research and public health · 2020Article
- Investigation and Source Apportionment of Air Pollutants in a Large Oceangoing Ship during Voyage.International journal of environmental research and public health · 2019Article
Corrections and comments
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Authors and funding
9 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In this study, we present a method for identifying sources of water pollution and their relative contributions in pollution disasters. The method uses a combination of principal component analysis and factor analysis. We carried out a case study in three rural villages close to Beijing after torrential rain on July 21, 2012. Nine water samples were analyzed for eight parameters, namely turbidity, total hardness, total dissolved solids, sulfates, chlorides, nitrates, total bacterial count, and total coliform groups. All of the samples showed different degrees of pollution, and most were unsuitable for drinking water as concentrations of various parameters exceeded recommended thresholds. Principal component analysis and factor analysis showed that two factors, the degree of mineralization and agricultural runoff, and flood entrainment, explained 82.50% of the total variance. The case study demonstrates that this method is useful for evaluating and interpreting large, complex water-quality data sets.
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Registered trials
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.