Effects of elevated arsenic and nitrate concentrations on groundwater resources in deltaic region of Sundarban Ramsar site, Indo-Bangladesh region

T Biswas, SC Pal, I Chowdhuri, D Ruidas, A Saha… - Marine Pollution …, 2023 - Elsevier
An attempt has been adopted to predict the As and NO 3− concentration in groundwater
(GW) in fast-growing coastal Ramsar region in eastern India. This study is focused to …

[HTML][HTML] Robust machine learning algorithms for predicting coastal water quality index

MG Uddin, S Nash, MTM Diganta, A Rahman… - Journal of …, 2022 - Elsevier
Coastal water quality assessment is an essential task to keep “good water quality” status for
living organisms in coastal ecosystems. The Water quality index (WQI) is a widely used tool …

Characterizing sludge pyrolysis by machine learning: towards sustainable bioenergy production from wastes

H Shahbeik, S Rafiee, A Shafizadeh, D Jeddi, T Jafary… - Renewable Energy, 2022 - Elsevier
Sludge pyrolysis has sparked the interest of researchers because of its capability to dispose
of hazardous residues while producing valuable bioproducts. Numerous expensive and …

[HTML][HTML] Assessing the impact of COVID-19 lockdown on surface water quality in Ireland using advanced Irish water quality index (IEWQI) model

MG Uddin, MTM Diganta, AM Sajib, A Rahman… - Environmental …, 2023 - Elsevier
The COVID-19 pandemic has significantly impacted various aspects of life, including
environmental conditions. Surface water quality (WQ) is one area affected by lockdowns …

[HTML][HTML] Developing a novel tool for assessing the groundwater incorporating water quality index and machine learning approach

AM Sajib, MTM Diganta, A Rahman… - Groundwater for …, 2023 - Elsevier
Groundwater plays a pivotal role as a global source of drinking water. To meet sustainable
development goals, it is crucial to consistently monitor and manage groundwater quality …

Predicting Water Quality Index (WQI) by feature selection and machine learning: A case study of An Kim Hai irrigation system

BQ Lap, H Du Nguyen, PT Hang, NQ Phi, VT Hoang… - Ecological …, 2023 - Elsevier
A variety of water quality indices have been used to assess the state of waterbodies all over
the world. In calculating a Water Quality Index (WQI), traditional methods require the …

An improved adaptive neuro fuzzy inference system model using conjoined metaheuristic algorithms for electrical conductivity prediction

I Ahmadianfar, S Shirvani-Hosseini, J He… - Scientific Reports, 2022 - nature.com
Precise prediction of water quality parameters plays a significant role in making an early
alert of water pollution and making better decisions for the management of water resources …

Hydrogeochemical characteristics and processes of groundwater in an over 2260 year irrigation district: A comparison between irrigated and nonirrigated areas

Y Gao, J Chen, H Qian, H Wang, W Ren, W Qu - Journal of hydrology, 2022 - Elsevier
A comprehensive understanding of groundwater chemistry and its evolution in irrigation
districts is essential for irrigation management. In this study, with emphasis on a comparison …

Deep learning for prediction of water quality index classification: tropical catchment environmental assessment

Tiyasha, TM Tung, ZM Yaseen - Natural Resources Research, 2021 - Springer
River water quality modeling using crucial artificial intelligent (AI) models has become an
essential tool for river assessment and management. The simplified approach of river health …

Surface water quality status and prediction during movement control operation order under COVID-19 pandemic: Case studies in Malaysia

A Najah, FY Teo, MF Chow, YF Huang, SD Latif… - International Journal of …, 2021 - Springer
Global concerns have been observed due to the outbreak and lockdown causal-based
COVID-19, and hence, a global pandemic was announced by the World Health Organization …