Evidence map›Paper›PMID 35133508›Full record

ArticleEnvironmental monitoring and assessment2022

Assessment of physicochemical parameters of Vishav stream: an important tributary of river Jhelum, Kashmir Himalaya, India.

Mohammad Yasir Arafat, Yahya Bakhtiyar, Zahoor Ahmad Mir, Sheikh Tajamul Islam

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Article in Environmental monitoring and assessment, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

4 authors.

Mohammad Yasir ArafatFish Biology and Limnology Research Laboratory, Department of Zoology, University of Kashmir, Srinagar-190006, Jammu and Kashmir, India.
Yahya BakhtiyarFish Biology and Limnology Research Laboratory, Department of Zoology, University of Kashmir, Srinagar-190006, Jammu and Kashmir, India. yahya.bakhtiyar@gmail.com.ORCID http://orcid.org/0000-0002-1162-0040
Zahoor Ahmad MirFish Biology and Limnology Research Laboratory, Department of Zoology, University of Kashmir, Srinagar-190006, Jammu and Kashmir, India.
Sheikh Tajamul IslamDepartment of Environmental Science, School of Earth and Environmental Sciences, University of Kashmir, Srinagar-190006, Jammu and Kashmir, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The deteriorating conditions in stream ecosystems are detrimental for society as far as its health, and development is concerned if the underlying factors continue to operate without regular monitoring. In order to maintain the health of a stream ecosystem, assessment of spatiotemporal changes in its physicochemical attributes and identification of all factors that could alter its hydrological regime is an essential component for managing it. The current 2-year study (October-2017 to September-2019) assessed the physicochemical regime of lower stretches of the Vishav stream, a major left-bank tributary of river Jhelum on a spatiotemporal basis. The physicochemical data was analyzed through linear regression, ANOVA (followed by Duncan's test), multivariate statistical analysis, viz., principal component analysis (PCA) and cluster analysis (CA). Linear regression pointed out the nature and magnitude of the relationship between different physicochemical variables (p < 0.05). PCA showed that WT, pH, EC, NO

Indexed as

EcosystemWater Pollutants, ChemicalAnimalsEnvironmental MonitoringHumansIndiaMultivariate AnalysisRiversWater QualityWater Pollutants, ChemicalCluster analysisLinear regressionPhysicochemical parametersPrincipal component analysisStream

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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.