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Cleaning the river Damodar (India): impact of COVID-19 lockdown on water quality and future rejuvenation strategies

Globally, it is established that the partial lockdown system assists to improve the health of the total environment due to inadequate anthropogenic actions in different economic sectors. The ample research on fitness of environment has been proved that the strict imposition of lockdown was the bless...

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Autores principales: Chakraborty, Baisakhi, Roy, Sambhunath, Bera, Amit, Adhikary, Partha Pratim, Bera, Biswajit, Sengupta, Debashish, Bhunia, Gouri Sankar, Shit, Pravat Kumar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7779165/
https://www.ncbi.nlm.nih.gov/pubmed/33424426
http://dx.doi.org/10.1007/s10668-020-01152-8
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author Chakraborty, Baisakhi
Roy, Sambhunath
Bera, Amit
Adhikary, Partha Pratim
Bera, Biswajit
Sengupta, Debashish
Bhunia, Gouri Sankar
Shit, Pravat Kumar
author_facet Chakraborty, Baisakhi
Roy, Sambhunath
Bera, Amit
Adhikary, Partha Pratim
Bera, Biswajit
Sengupta, Debashish
Bhunia, Gouri Sankar
Shit, Pravat Kumar
author_sort Chakraborty, Baisakhi
collection PubMed
description Globally, it is established that the partial lockdown system assists to improve the health of the total environment due to inadequate anthropogenic actions in different economic sectors. The ample research on fitness of environment has been proved that the strict imposition of lockdown was the blessings of environment. The river Damodar has historical significance and lifeline for huge population of Jharkhand and West Bengal state of India but in the recent years the water quality has been deteriorated due to untreated industrial effluents and urban sewage. The main objective of this study is to examine the water quality of river Damodar during and prelockdown phase for domestic use and restoration of river ecosystem. A total of eleven (11) effluent discharge sites were selected in prelockdown and during lockdown phase. A new approach of water quality assessment, i.e., water pollution index (WPI) has been applied in this study. WPI is weightage free, unbiased method to analysis of water quality. The result shows that the physical, chemical and heavy elements were found beyond the standard limit in prelockdown period. The cation and anion were arranged in an order of Na(2+)  > K(+)  > Ca(2+)  > Mg(2+) and Cl(−) > So(4)(−) > No(3)(−) > F(−) in both the sessions. WPI of prelockdown showed that about 100% water samples are of highly polluted. WPI of lockdown period showed that around 90.90% samples improved to ‘good quality’ and 9.10% of samples are of ‘moderately polluted.’ Hypothesis testing by ‘t’ test proved that there was a significant difference (ρ = 0.05%) in values of each parameter between two periods. Null hypothesis was rejected and indicated the improvement of river water quality statistically. Spatial mapping using Arc GIS 10.4 interpolation (IDW) helps to understand spatial intensity of pollution load in two periods. This research study should be helpful for further management and spatial diagnosis of water resource of river Damodar.
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spelling pubmed-77791652021-01-04 Cleaning the river Damodar (India): impact of COVID-19 lockdown on water quality and future rejuvenation strategies Chakraborty, Baisakhi Roy, Sambhunath Bera, Amit Adhikary, Partha Pratim Bera, Biswajit Sengupta, Debashish Bhunia, Gouri Sankar Shit, Pravat Kumar Environ Dev Sustain Article Globally, it is established that the partial lockdown system assists to improve the health of the total environment due to inadequate anthropogenic actions in different economic sectors. The ample research on fitness of environment has been proved that the strict imposition of lockdown was the blessings of environment. The river Damodar has historical significance and lifeline for huge population of Jharkhand and West Bengal state of India but in the recent years the water quality has been deteriorated due to untreated industrial effluents and urban sewage. The main objective of this study is to examine the water quality of river Damodar during and prelockdown phase for domestic use and restoration of river ecosystem. A total of eleven (11) effluent discharge sites were selected in prelockdown and during lockdown phase. A new approach of water quality assessment, i.e., water pollution index (WPI) has been applied in this study. WPI is weightage free, unbiased method to analysis of water quality. The result shows that the physical, chemical and heavy elements were found beyond the standard limit in prelockdown period. The cation and anion were arranged in an order of Na(2+)  > K(+)  > Ca(2+)  > Mg(2+) and Cl(−) > So(4)(−) > No(3)(−) > F(−) in both the sessions. WPI of prelockdown showed that about 100% water samples are of highly polluted. WPI of lockdown period showed that around 90.90% samples improved to ‘good quality’ and 9.10% of samples are of ‘moderately polluted.’ Hypothesis testing by ‘t’ test proved that there was a significant difference (ρ = 0.05%) in values of each parameter between two periods. Null hypothesis was rejected and indicated the improvement of river water quality statistically. Spatial mapping using Arc GIS 10.4 interpolation (IDW) helps to understand spatial intensity of pollution load in two periods. This research study should be helpful for further management and spatial diagnosis of water resource of river Damodar. Springer Netherlands 2021-01-03 2021 /pmc/articles/PMC7779165/ /pubmed/33424426 http://dx.doi.org/10.1007/s10668-020-01152-8 Text en © The Author(s), under exclusive licence to Springer Nature B.V. part of Springer Nature 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Chakraborty, Baisakhi
Roy, Sambhunath
Bera, Amit
Adhikary, Partha Pratim
Bera, Biswajit
Sengupta, Debashish
Bhunia, Gouri Sankar
Shit, Pravat Kumar
Cleaning the river Damodar (India): impact of COVID-19 lockdown on water quality and future rejuvenation strategies
title Cleaning the river Damodar (India): impact of COVID-19 lockdown on water quality and future rejuvenation strategies
title_full Cleaning the river Damodar (India): impact of COVID-19 lockdown on water quality and future rejuvenation strategies
title_fullStr Cleaning the river Damodar (India): impact of COVID-19 lockdown on water quality and future rejuvenation strategies
title_full_unstemmed Cleaning the river Damodar (India): impact of COVID-19 lockdown on water quality and future rejuvenation strategies
title_short Cleaning the river Damodar (India): impact of COVID-19 lockdown on water quality and future rejuvenation strategies
title_sort cleaning the river damodar (india): impact of covid-19 lockdown on water quality and future rejuvenation strategies
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7779165/
https://www.ncbi.nlm.nih.gov/pubmed/33424426
http://dx.doi.org/10.1007/s10668-020-01152-8
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