th March to 18 Spatio- Temporal Analysis of Turbidity in Ganga River in Patna, Bihar Using Sentinel-2 Satellite Data Linked with Covid-19 Pandemic
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Spatio- Temporal Analysis of Turbidity in Ganga River in Patna, Bihar Using Sentinel-2 Satellite Data Linked with Covid-19 Pandemic

机译:Patna甘氨酸筋浊度的时空分析,比哈尔特与Covid-19大流行相关的卫星2卫星数据

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Ganga River's water quality has been improved during COVID-19 lockdowns in India (24th March to 18th May, 2020) while comparing with the normal days. This study attempted to highlight the variation in river's water quality in terms of spatio temporal turbidity. This study is based on the analysis of remote sensing. Red band known as the most sensitive to estimate turbidity. The temporal variation in turbidity was also investigated through linear regression model using Sentinel-2A, B optical satellite data. It was observed that before lockdown period as on 3rd March 2020, mean turbidity was estimated as 13.47 FTU (Formazine Turbidity Unit) and during as on 2nd April 2020, estimated as 11.74 FTU. Further, on 17th April 2020, it was increased with 0.25 and estimated as 11.99 FTU. Hence, it can be concluded that due to less anthropogenic activity led by the lockdown imposed in the country, water quality of the river is improving continuously. The study also exhibited the relevancy of remote sensing approach to make qualitative estimates on turbidity, when there are no field observations.
机译:在印度Covid-19锁定期间,Ganga河的水质得到了改善(24 th 3月18日 th 5月2020年)与正常日期相比。本研究试图突出河流水质方面的变化时空浊度。本研究基于遥感的分析。红带称为最敏感的估计浊度。还通过使用Sentinel-2a,b光学卫星数据通过线性回归模型研究了浊度的时间变化。它被观察到锁定期限为3 rd 3月20日,平均浊度估计为13.47ftu(甲料浊度单元)和在2期间 nd 4月2020年4月,估计为11.74 FTU。此外,17 th 4月2020年4月,随着0.25的增加,估计为11.99英尺。因此,可以得出结论,由于在该国施加的锁定导致的人为活动较少,河流的水质持续改善。该研究还表现出遥感方法在没有现场观察时对浊度进行定性估算的相关性。

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