Prediction of methane emission from landfills using machine learning models-Reference-Cited by-同舟云学术

Prediction of methane emission from landfills using machine learning models

Published:2021-03-12 Issue:4 Volume:40 Page:
ISSN:1944-7442
Container-title:Environmental Progress & Sustainable Energy
language:en
Short-container-title:Environ Prog Sustainable Energy

Author:

Mehrdad Seyed Mostafa¹,Abbasi Maryam¹^ORCID,Yeganeh Bijan¹²,Kamalan Hamidreza³

Affiliation:

1. Faculty of Civil, Water, & Environmental Engineering Shahid Beheshti University Tehran Iran

2. Center for Air Pollution, Energy, and Health Research Glebe New South Wales Australia

3. Department of Civil Engineering Pardis Branch, Islamic Azad University Pardis Iran

Publisher

Wiley

Subject

General Environmental Science,Waste Management and Disposal,Water Science and Technology,General Chemical Engineering,Renewable Energy, Sustainability and the Environment,Environmental Chemistry,Environmental Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ep.13629

Reference53 articles.

1. CH4and total GHGs emission from urban landfills in southwest Iran

2. Gas Production Potential in the Landfill of Tehran by Landfill Methane Outreach Program

3. Hiraishi T. et al. 2013Revised Supplementary Methods and Good Practice Guidance Arising from the Kyoto Protocol. 2014: Intergovernmental Panel on Climate Change.

4. A Review on Available Landfill Gas Models

5. Towards improving emissions accounting methods in waste management: A proposed framework

Cited by 22 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Road transportation emission prediction and policy formulation: Machine learning model analysis;Transportation Research Part D: Transport and Environment;2024-10

2. Unlocking the potential of solid waste management with circular economy and Industry 4.0;Computers & Industrial Engineering;2024-09

3. Biogas and Methane Production From The Anaerobic Digestion of Urban Solid Waste Irrigated With Leachate and Water;Revista de Gestão Social e Ambiental;2024-07-18

4. Mathematical models for fluid flow in porous media with machine learning techniques for landfill waste leachate;Stochastic Environmental Research and Risk Assessment;2024-04-02

5. Accessible sampling methodologies to quantify the net methane emission from landfill cells;Atmospheric Pollution Research;2024-03