Calculation of carbon emissions in wastewater treatment and its neutralization measures: A review

Z Liu, Z Xu, X Zhu, L Yin, Z Yin, X Li, W Zheng - Science of The Total …, 2024 - Elsevier
As the pursuit of “carbon neutrality” gains momentum, the emphasis on low-carbon
solutions, emphasizing energy conservation and resource reuse, has introduced fresh …

Toward smarter management and recovery of municipal solid waste: A critical review on deep learning approaches

K Lin, Y Zhao, JH Kuo, H Deng, F Cui, Z Zhang… - Journal of Cleaner …, 2022 - Elsevier
Increasing generation of municipal solid waste, heterogeneity of waste composition, and
complex processes of waste management and recovery have limited the performance of …

[PDF][PDF] Al-Biruni Based Optimization of Rainfall Forecasting in Ethiopia.

ESM El-Kenawy, AA Abdelhamid… - … Systems Science & …, 2023 - researchgate.net
Rainfall plays a significant role in managing the water level in the reservoir. The
unpredictable amount of rainfall due to the climate change can cause either overflow or dry …

Applying artificial neural networks (ANNs) to solve solid waste-related issues: A critical review

A Xu, H Chang, Y Xu, R Li, X Li, Y Zhao - Waste Management, 2021 - Elsevier
Artificial neural networks (ANNs) have recently attracted significant attention in
environmental areas because of their great self-learning capability and good accuracy in …

Meteorological data mining and hybrid data-intelligence models for reference evaporation simulation: A case study in Iraq

K Khosravi, P Daggupati, MT Alami, SM Awadh… - … and Electronics in …, 2019 - Elsevier
To model an agriculture process for any region, it is significantly essential to accurately
simulate the reference evaporation (ET o) from the available regional meteorological …

Estimating physical composition of municipal solid waste in China by applying artificial neural network method

S Ma, C Zhou, C Chi, Y Liu, G Yang - Environmental science & …, 2020 - ACS Publications
Physical composition of municipal solid waste (PCMSW) is the fundamental parameter in
domestic waste management; however, high fidelity, wide coverage, upscaling, and year …

Machine learning algorithm-based risk assessment of riparian wetlands in Padma River Basin of Northwest Bangladesh

ARMT Islam, S Talukdar, S Mahato, S Ziaul… - … Science and Pollution …, 2021 - Springer
Wetland risk assessment is a global concern especially in developing countries like
Bangladesh. The present study explored the spatiotemporal dynamics of wetlands …

Deep learning model for daily rainfall prediction: case study of Jimma, Ethiopia

D Endalie, G Haile, W Taye - Water Supply, 2022 - iwaponline.com
Rainfall prediction is a critical task because many people rely on it, particularly in the
agricultural sector. Rainfall forecasting is difficult due to the ever-changing nature of weather …

A recent progress in the leachate pretreatment methods coupled with anaerobic digestion for enhanced biogas production: feasibility, trends, and techno-economic …

M Anjum, M Anees, S Qadeer, A Khalid… - International Journal of …, 2023 - mdpi.com
Landfill leachate (LFL) treatment is a severe challenge due to its highly viscous nature and
various complex pollutants. Leachate comprises various toxic pollutants, including inorganic …

Prognostication of waste water treatment plant performance using efficient soft computing models: an environmental evaluation

M Najafzadeh, M Zeinolabedini - Measurement, 2019 - Elsevier
The chief purpose of designing the wastewater treatment plant (WWTP) is to provide a
suitable system which is capable of eliminating the excessive impurities or pollutants found …