Evidence map›Paper›PMID 29260421›Full record

ArticleEnvironmental monitoring and assessment2017

Index-based assessment of suitability of water quality for irrigation purpose under Indian conditions.

Surjeet Singh, N C Ghosh, Suman Gurjar, Gopal Krishan, Sumant Kumar, Preeti Berwal

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Article in Environmental monitoring and assessment, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
4.1field-weighted citation impact, top 7% of its field
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

9 citing papers in PubMed, 125 citations in OpenAlex.

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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

6 authors at 1 institution in 1 country.

Surjeet SinghNational Institute of Hydrology, Roorkee, Uttarakhand, 247667, India. ssingh_sagar@yahoo.co.in.
N C GhoshNational Institute of Hydrology, Roorkee, Uttarakhand, 247667, India.
Suman GurjarNational Institute of Hydrology, Roorkee, Uttarakhand, 247667, India.
Gopal KrishanNational Institute of Hydrology, Roorkee, Uttarakhand, 247667, India.
Sumant KumarNational Institute of Hydrology, Roorkee, Uttarakhand, 247667, India.
Preeti BerwalNational Institute of Hydrology, Roorkee, Uttarakhand, 247667, India.
National Institute of Hydrology · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Agriculture is a major sector in India which contributes around 14% of country's gross domestic product (GDP). Being an agriculture-based country, good quality of water for irrigation has been a prime requisite. Highly growing population and accelerated industrial development are causing anthropogenic pollution to both surface and groundwater on one side and geogenic contamination like arsenic, fluoride, high dissolved solids, sodicity, and iron in groundwater on other side. As a result, ensuring safe water quality for the irrigation has become a major challenge to both the central and state governments. The present irrigation water quality standards being followed in India have been set by the Central Pollution Control Board (CPCB) and Central Ground Water Board (CGWB) in the year 2000. These standards are solely based on four parameters, namely electrical conductivity, sodium percentage, sodium absorption ratio, and residual sodium carbonate, which are quite subjective and many times are not capable to exactly decide the quality of irrigation water particularly when there are large variations in the source water quality. Therefore, in the present paper, an indices-based approach is presented for categorization of irrigation water quality. These indices are mathematical equations that transform water quality data into a numeric value, which describes the quality of irrigation water. The proposed irrigation water quality index (IWQI), which is based on 12 parameters, classifies the water into five categories, viz. excellent, good, medium, bad, and very bad in the same manner as given by the CPCB and CGWB. In order to give proper rating to various parameters of the index, weights are computed using Saaty's analytic hierarchy process (AHP)-based multiple criteria decision analysis (MCDA) approach. This approach minimizes the subjectivity in assessment of weights and improves understanding of water quality issues by generating an overall index to describe the status of water quality. The proposed index will be beneficial for the water management authorities in ensuring safe water to the stakeholders.

Indexed as

Agricultural IrrigationEnvironmental MonitoringGroundwaterIndiaWater Pollutants, ChemicalWater QualityWater SupplyWater Pollutants, ChemicalIndicesIrrigationIWQISaaty AHPWater quality

Identifiers

PMID29260421
OpenAlexW2776782160

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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.