Evidence map›Paper›PMID 34370199›Full record

ArticleEnvironmental science and pollution research international2022

Assessment of water quality condition and spatiotemporal patterns in selected wetlands of Punjab, India.

Yadvinder Singh, Gurdarshan Singh, Jasvirinder Singh Khattar, Sophia Barinova, Jasneet Kaur, Sumit Kumar, Davinder Pal Singh

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Article in Environmental science and pollution research international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Yadvinder SinghDepartment of Botany and Environmental Science, Sri Guru Granth Sahib World University, Fatehgarh Sahib, 140406, Punjab, India. yadbotany@gmail.com.ORCID http://orcid.org/0000-0002-5835-718X
Gurdarshan SinghDepartment of Botany and Environmental Science, Sri Guru Granth Sahib World University, Fatehgarh Sahib, 140406, Punjab, India.
Jasvirinder Singh KhattarDepartment of Botany, Punjabi University, Patiala, 147002, Punjab, India. jisk_pbi@rediffmail.com.
Sophia BarinovaInstitute of Evolution, University of Haifa, Haifa, 3498838, Israel.
Jasneet KaurDepartment of Zoology, Patel Memorial National College, Rajpura, 140401, Punjab, India.
Sumit KumarDepartment of Economics, Sri Guru Granth Sahib World University, Fatehgarh Sahib, 140406, Punjab, India.
Davinder Pal SinghDepartment of Botany, Punjabi University, Patiala, 147002, Punjab, India.

Funding

Science and Engineering Research Board ECR/2017/001103
6 · The paper itself

Abstract

Wetlands are one of the most productive aquatic ecosystems on earth, and their water quality is an indicative of their suitability for maintaining various ecosystem services. In this study, different statistical techniques and water quality index (WQI) were employed to access the status and spatiotemporal patterns in water quality of seven selected (two natural and five manmade) wetlands of Punjab. The results revealed that the status of water quality in the selected wetlands was between good and poor during studied seasons (summer, monsoon, and winter) of year 2019. The principal component analysis identified three groups of wetlands with distinct water quality characteristics with spatial patterns: Kahnuwan Chhamb and Keshopur Miani having nearly similar values of pH, total dissolve salts, electrical conductivity, chemical oxygen demand, total alkalinity, bicarbonate and ammonium content; Ropar, Kanjli, and Harike having higher value of nutrients than the other wetlands; and Ranjit Sagar and Nangal with low value of measured water quality characteristics. Further, analysis of variance revealed that all analyzed water quality parameters showed temporal patterns in water quality except water pH, electrical conductivity, dissolved oxygen, biological oxygen demand, and phosphate content. This comparative study enhanced our knowledge about the spatiotemporal patterns in water quality and in the future will be helpful to the policymakers and concerned authorities for developing better water quality management strategies for these wetlands.

Indexed as

Water Pollutants, ChemicalWater QualityEcosystemEnvironmental MonitoringIndiaSeasonsWetlandsWater Pollutants, ChemicalANOVAPhysicochemical parametersPrincipal component analysisPunjab Ramsar siteSpatiotemporal patternsWetlandsWQI

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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.