Evidence map›Paper›PMID 34773150›Full record

ArticleEnvironmental monitoring and assessment2021

Risk assessment and water safety planning for rural water supply in Uttarakhand, India.

Snigdha Pundir, Rakesh Singh, Prashant Singh, Vikash Kandari

Abstract read
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In one paragraph

Article in Environmental monitoring and assessment, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
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

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

1 citing paper in PubMed.

  1. Article
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

4 authors.

Snigdha PundirDepartment of Chemistry, DBS (PG) College, Dehradun, Uttarakhand, 248001, India. snigdha.pundir13@gmail.com.ORCID http://orcid.org/0000-0001-6298-3282
Rakesh SinghDepartment of Chemistry, DBS (PG) College, Dehradun, Uttarakhand, 248001, India.
Prashant SinghDepartment of Chemistry, DAV (PG) College, Dehradun, Uttarakhand, 248001, India.
Vikash KandariDepartment of Chemistry, DAV (PG) College, Dehradun, Uttarakhand, 248001, India.

Funding

Water Technology Initiative, Department of Science and Technology, New Delhi, India DST/TM/WTI/2K16/266
6 · The paper itself

Abstract

A water safety plan (WSP) has been developed for rural water supply in Dehradun district, Uttarakhand, India. Four public water utilities were chosen to demonstrate the application of WSP in improving the rural drinking water quality along with improved sanitation. Hazard identification and risk assessment carried out identified 10 hazardous events at all four utilities. Intermittent water supply, poor repair and maintenance of the supply channel machinery, and individual household sanitation practices were the potential sources of contamination. The study showed encouraging results, where the evaluated risks decreased substantially after implementing the control measures, along with improved water quality after WSP implementation which showed statistically significant results (p < .05) for all tested parameters, namely, turbidity (p = .000), total dissolved solids (p = .004), residual-free chlorine (p = .004), total coliforms (p = .000), and fecal coliforms (p  = .003). The sanitation condition of water source and households also improved by adopting the suggested measures. The study recommends water safety planning, to empower the rural communities to safeguard their water sources, and for sustainable water supply management.

Indexed as

Drinking WaterRural PopulationEnvironmental MonitoringHumansIndiaRisk AssessmentWater QualityWater SupplyDrinking WaterDrinking water safetyRisk assessmentRural water supplySanitary surveySustainable water supply managementWater safety plan

Identifiers

What OpenQuestion holds

Textmetadata
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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.