Evidence map›Paper›PMID 34767150›Full record

ArticleEnvironmental geochemistry and health2022

Hydrogeochemical characteristics of surface and groundwater: suitability for human consumption and irrigated agriculture purposes in Suruliyar sub basin, South India.

S Chandran, P Selvan, M Dhanasekarapandian, V Kumar, U Surendran

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Article in Environmental geochemistry and health, 2022. 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

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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.

2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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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.

S ChandranDepartment of Civil Engineering, Thiagarajar College of Engineering, Madurai, Tamil Nadu, 625015, India. waterchandran@gmail.com.ORCID http://orcid.org/0000-0002-9197-7532
P SelvanDepartment of Civil Engineering, Thiagarajar College of Engineering, Madurai, Tamil Nadu, 625015, India.
M DhanasekarapandianDepartment of Civil Engineering, Thiagarajar College of Engineering, Madurai, Tamil Nadu, 625015, India.
V KumarDepartment of Agricultural Engineering, ACRI, Madurai, Tamil Nadu, 625104, India.ORCID http://orcid.org/0000-0002-7165-0647
U SurendranWater Management (Agriculture Division), CWRDM, Kunnamangalam, Kerala, 673571, India.ORCID http://orcid.org/0000-0003-0908-1778

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Suruliyar sub basin in Tamil Nadu, India, was monitored for the assessment of water and soil quality. Surface water, groundwater, and soil samples were collected during the pre-monsoon (June 2016) and post-monsoon (December 2016) seasons within the sub basin area and analyzed for various physical, chemical, and biological properties, namely, pH, electrical conductivity, total dissolved solids (TDS), calcium, magnesium, sodium, nitrate, sulfate, fluoride, chloride, biological oxygen demand, chemical oxygen demand, and total and fecal coliform. All the values were compared with Indian and global standards, and the values for each parameter were within the permissible limits. However, some samples were edging toward the upward limit. Fecal coliforms (14 to 36 counts per 100 ml) were present in the river water, thus indicating anthropogenic contamination. Correlation analysis confirmed that TDS was significantly positively correlated with most of the cations and anions. Groundwater was assessed using several indices, such as the Piper diagram, United States Salinity Laboratory diagram, sodium adsorption ratio, and sodium percentage. Results showed that all the groundwater samples could be used for irrigation purposes; however, the chloride contents exceeded the permissible limit. Soil analysis results showed that all nutrients were within the permissible limits. Drought assessment showed the existence of both dry and wet years occurring most frequently, which might have a strong influence on the quality of water and soil parameters. This study suggests that the monitoring of surface, groundwater, and soil parameters is essential to maintain the sub basin area for ensuring sustainable development in the future.

Indexed as

GroundwaterWater Pollutants, ChemicalAgricultureChloridesEnvironmental MonitoringHumansIndiaSodiumSoilWaterWater QualityWater SupplyChloridesSodiumSoilWaterWater Pollutants, ChemicalDroughtEnvironmental monitoringGroundwaterSurface water

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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.