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Assessing lake water quality during COVID-19 era using geospatial techniques and artificial neural network model.

Environ Sci Pollut Res Int · 2023 · PMC10124705 · PMID 37093388

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quite significantno p-value reported
The derived results related to the spatio-temporal distribution of these indices in the EKW region are quite significant in terms of judging the status of water quality and its changes that corresponds to the impact of the COVID-19 lockdown in the wetland’s catchment area.

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