Assessing thermal power effluent-induced air quality and associated environmental stress on <i>Blumea lacera</i> and <i>Phyla nodiflora</i> using chemometric, remote sensing and machine learning approach
Md. Golam Rabbani(Aliah University), Sk Md Abu Imam Saadi(Aliah University), Sk Saruk Islam, Aznarul Islam(Aliah University), Sujit Kumar Roy(Bangladesh University of Engineering and Technology), Mehebub Sarwar Hossain(Aliah University), Ismail Mondal(University of Calcutta)
Cited by 18
Related Papers
Hydro-chemical assessment of fluoride and nitrate in groundwater from east and west coasts of Bangladesh and India
|Journal of Cleaner Production|2022|122
Machine learning-based prediction and optimization of green hydrogen production technologies from water industries for a circular economy
|Desalination|2023|89
Dynamic assessment and prediction of land use alterations influence on ecosystem service value: A pathway to environmental sustainability
|Environmental and Sustainability Indicators|2023|71
Assessing intra and interannual variability of water quality in the Sundarban mangrove dominated estuarine ecosystem using remote sensing and hybrid machine learning models
|Journal of Cleaner Production|2024|54
Effects of COVID-19 era on a subtropical river basin in Bangladesh: Heavy metal(loid)s distribution, sources and probable human health risks
|The Science of The Total Environment|2022|51