Assessing thermal power effluent-induced air quality and associated environmental stress on Blumea lacera and Phyla nodiflora using chemometric, remote sensing and machine learning approach

Assessing thermal power effluent-induced air quality and associated environmental stress on Blumea lacera and Phyla nodiflora using chemometric, remote sensing and machine learning approach

Human interventions leading to effluent generation, which are critical threats to the environment. The Kolaghat Thermal Power Plant emits daily 7,500–8,000 metric tonnes of fly ash. Our investigation revealed fly ash deposition in the surrounding soil, containing high levels of copper (5.75 mg/kg) a...

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Bibliographic Details
Main Authors: Mahabub Rabbani, Mehebub Sarwar Hossain, Sk Saruk Islam, Sujit Kumar Roy, Aznarul Islam, Ismail Mondal, Sk Md Abu Imam Saadi
Format: Article
Language:English
Published: Taylor & Francis Group 2024-11-01
Series:Geology, Ecology, and Landscapes
Subjects:
Fly ash
soil pollution
chlorophyll contents
APTI
machine learning
remote sensing
Online Access:https://www.tandfonline.com/doi/10.1080/24749508.2024.2430042
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https://www.tandfonline.com/doi/10.1080/24749508.2024.2430042

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