Estimating ammonium changes in pilot and full-scale constructed wetlands using kinetic model, linear regression, and machine learning
Constructed wetlands (CWs) are a widely utilized nature-based wastewater treatment
method for various effluents. However, their application has been more focused on pilot and …
method for various effluents. However, their application has been more focused on pilot and …
Prediction of maximum air temperature for defining heat wave in Rajasthan and Karnataka states of India using machine learning approach
Temperature rise, associated with global warming, has increased the severity and frequency
of heat waves around the world. Rajasthan and Karnataka are two major states of India and …
of heat waves around the world. Rajasthan and Karnataka are two major states of India and …
Virtual sample generation empowers machine learning-based effluent prediction in constructed wetlands
Q Dong, S Bai, Z Wang, X Zhao, S Yang… - Journal of Environmental …, 2023 - Elsevier
The design of constructed wetlands (CWs) is critical to ensure effective wastewater
treatment. However, limited availability of reliable data can hamper the accuracy of CW …
treatment. However, limited availability of reliable data can hamper the accuracy of CW …
Optimization of depth of filler media in horizontal flow constructed wetlands for maximizing removal rate coefficients of targeted pollutant (s)
Varying the depth of HFCW media causes differences in the redox status within the system,
and hence the community structure and diversity of bacteria, affecting removal rates of …
and hence the community structure and diversity of bacteria, affecting removal rates of …
Dynamics of land surface temperature: Insights into vegetation, elevation, and air pollution in Bengaluru
Bengaluru, among the five fastest-growing cities of India, is facing the challenge of urban
heat islands (UHI) and temperature variations across its landscape. Monitoring the …
heat islands (UHI) and temperature variations across its landscape. Monitoring the …
Diurnal variation of air pollutants and their relationship with land surface temperature in Bengaluru and Hyderabad cities of India
Abstract Air pollution and Land Surface Temperature (LST) are crucial components of urban
environments. As urbanization and industrialization increase, the two components affect the …
environments. As urbanization and industrialization increase, the two components affect the …
Assessment of removal rate coefficient in vertical flow constructed wetland employing machine learning for low organic loaded systems
Secondary datasets of 42 low organic loading Vertical flow constructed wetlands
(LOLVFCWs) were assessed to optimize their area requirements for N and P (nutrients) …
(LOLVFCWs) were assessed to optimize their area requirements for N and P (nutrients) …
Comparative performance and 16S amplicon sequencing analysis of deep and shallow cells of a full scale HFCW having sequentially decreasing depths reveals vast …
The performance and microbial community characteristics of a full-scale horizontal flow
constructed wetland (HFCW), comprising sequential cells of different depths (1.5 m to 0.8 m) …
constructed wetland (HFCW), comprising sequential cells of different depths (1.5 m to 0.8 m) …
Treatment of Bamboo for Sustainable Construction Practise: A Comprehensive Review
Bamboo is a versatile and sustainable natural resource that has been used for centuries by
numerous cultures. Untreated bamboo, on the other hand, has limitations in terms of …
numerous cultures. Untreated bamboo, on the other hand, has limitations in terms of …
Prediction of Land Surface Temperature Using Spectral Indices, Air Pollutants, and Urbanization Parameters for Hyderabad City of India Using Six Machine Learning …
Urban areas face rising land surface temperatures (LST) and increased air pollution due to
urbanization and industrialization. The consistent rise in LST impacts lives of the residents …
urbanization and industrialization. The consistent rise in LST impacts lives of the residents …