Review on the synergistic mechanisms in harnessing rice residue-derived cellulose nanocrystals for sustainable water purification and wastewater treatment DOI
Bhupinder Singh, Ravinder Kumar, Shubham Sharma

et al.

International Journal of Biological Macromolecules, Journal Year: 2025, Volume and Issue: unknown, P. 143225 - 143225

Published: April 1, 2025

Language: Английский

Graphene oxide membranes coated on porous ceramic hollow fibers for the removal of pharmaceutical contaminants from wastewater DOI Creative Commons
A. Cardoso, Vicelma Luiz Cardoso, Miria Hespanhol Miranda Reis

et al.

Open Ceramics, Journal Year: 2025, Volume and Issue: unknown, P. 100750 - 100750

Published: Feb. 1, 2025

Language: Английский

Citations

0

Dual Layered Nonwoven Membranes with Janus Wettability for Fast and Efficient Directional Moisture and Vapor Transport DOI
K. Subramani,

S.K. Nataraj,

Porika Anirudh Naik

et al.

Published: Jan. 1, 2025

Language: Английский

Citations

0

Integrative Assessment of Surface Water Contamination Using GIS, WQI, and Machine Learning in Urban–Industrial Confluence Zones Surrounding the National Capital Territory of the Republic of India DOI Open Access
Bishnu Kant Shukla, Lokesh Kumar Gupta, Bhupender Parashar

et al.

Water, Journal Year: 2025, Volume and Issue: 17(7), P. 1076 - 1076

Published: April 4, 2025

This study proposes an innovative framework integrating geographic information systems (GISs), water quality index (WQI) analysis, and advanced machine learning (ML) models to evaluate the prevalence impact of organic inorganic pollutants across urban–industrial confluence zones (UICZ) surrounding National Capital Territory (NCT) India. Surface samples (n = 118) were systematically collected from Gautam Buddha Nagar, Ghaziabad, Faridabad, Sonipat, Gurugram, Jhajjar, Baghpat districts assess physical, chemical, microbiological parameters. The application spatial interpolation techniques, such as kriging inverse distance weighting (IDW), enhances WQI estimation in unmonitored areas, improving regional assessments remediation planning. GIS mapping highlighted stark disparities, with industrial hubs, like Faridabad exhibiting values exceeding 600 due untreated discharges wastewater, while rural regions, Jhajjar Baghpat, recorded below 200, reflecting minimal anthropogenic pressures. employed four ML models—linear regression (LR), random forest (RF), Gaussian process (GPR_PUK), support vector machines (SVM_Poly)—to predict high precision. SVM_Poly emerged most effective model, achieving testing CC, RMSE, MAE 0.9997, 11.4158, 5.6085, respectively, outperforming RF (0.9925, 29.8107, 21.7398) GPR_PUK (0.9811, 68.4466, 54.0376). By leveraging models, this prediction beyond conventional computation, enabling extrapolation early contamination detection data-scarce regions. Sensitivity analysis identified total suspended solids critical predictor influencing WQI, underscoring its relevance monitoring programs. research uniquely integrates algorithms analytics, providing a novel methodological contribution assessment. findings emphasize urgency mitigating fate transport protect Delhi’s hydrological ecosystems, presenting robust decision-support system for policymakers environmental managers.

Language: Английский

Citations

0

Review on the synergistic mechanisms in harnessing rice residue-derived cellulose nanocrystals for sustainable water purification and wastewater treatment DOI
Bhupinder Singh, Ravinder Kumar, Shubham Sharma

et al.

International Journal of Biological Macromolecules, Journal Year: 2025, Volume and Issue: unknown, P. 143225 - 143225

Published: April 1, 2025

Language: Английский

Citations

0