Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

Assessing Greenhouse Gas Emissions and Methane Production During Post-Landfill Maintenance in Kish Island: A LandGEM Simulation Approach

View through CrossRef
Background: Municipal solid waste (MSW) landfills are significant contributors to the emission of greenhouse gases, particularly methane, during the breakdown of waste materials. Researchers have undertaken extensive investigations into quantifying methane emissions from landfills, utilizing various methodologies beyond reliance on the LandGEM model. Numerous studies have underscored the efficacy of this model in predicting methane generation and exploring its utility in activities such as energy generation and emission mitigation strategies. Objectives: Municipal solid waste landfills are vital contributors to greenhouse gas emissions, notably methane, during waste decomposition. Significant research has focused on estimating methane output from landfills, utilizing various approaches beyond the LandGEM model. Studies highlight the model's potential in assessing methane generation and its relevance to activities like energy generation and emission management. Methods: The LandGEM simulation model is employed to forecast future waste generation and provide valuable insights into the environmental consequences of landfill management on the island. By analyzing population data and waste generation statistics from 2023 to 2042, the study utilizes the LandGEM software to estimate methane emissions, incorporating site-specific data and waste composition analysis. Results: The findings reveal that 36% of the total waste on Kish Island consists of putrescible material, with food waste being a significant component. Over the study period, approximately 1,282,637 tons of waste are projected to be disposed of in the Kish landfill. The LandGEM model predicts the highest landfill gas emission in 2043, primarily methane, along with carbon dioxide and non-metallic organic compounds. The estimated quantities for these gases in 2043 are 5.415E+03, 1.486E+04, and 2.327E+02 metric tons, respectively. Conclusions: This research highlights the importance of tailored waste management strategies to mitigate environmental impacts and emphasizes the need for efficient gas collection systems. A proposed gas collection system combining vertical wells, horizontal trenches, and under-membrane pipes is discussed to enhance efficiency and reduce environmental risks. The study provides valuable insights into waste management and landfill gas emissions on Kish Island, underscoring the significance of accurate emission prediction and effective management to minimize environmental consequences and optimize the utilization of renewable energy resources.
Title: Assessing Greenhouse Gas Emissions and Methane Production During Post-Landfill Maintenance in Kish Island: A LandGEM Simulation Approach
Description:
Background: Municipal solid waste (MSW) landfills are significant contributors to the emission of greenhouse gases, particularly methane, during the breakdown of waste materials.
Researchers have undertaken extensive investigations into quantifying methane emissions from landfills, utilizing various methodologies beyond reliance on the LandGEM model.
Numerous studies have underscored the efficacy of this model in predicting methane generation and exploring its utility in activities such as energy generation and emission mitigation strategies.
Objectives: Municipal solid waste landfills are vital contributors to greenhouse gas emissions, notably methane, during waste decomposition.
Significant research has focused on estimating methane output from landfills, utilizing various approaches beyond the LandGEM model.
Studies highlight the model's potential in assessing methane generation and its relevance to activities like energy generation and emission management.
Methods: The LandGEM simulation model is employed to forecast future waste generation and provide valuable insights into the environmental consequences of landfill management on the island.
By analyzing population data and waste generation statistics from 2023 to 2042, the study utilizes the LandGEM software to estimate methane emissions, incorporating site-specific data and waste composition analysis.
Results: The findings reveal that 36% of the total waste on Kish Island consists of putrescible material, with food waste being a significant component.
Over the study period, approximately 1,282,637 tons of waste are projected to be disposed of in the Kish landfill.
The LandGEM model predicts the highest landfill gas emission in 2043, primarily methane, along with carbon dioxide and non-metallic organic compounds.
The estimated quantities for these gases in 2043 are 5.
415E+03, 1.
486E+04, and 2.
327E+02 metric tons, respectively.
Conclusions: This research highlights the importance of tailored waste management strategies to mitigate environmental impacts and emphasizes the need for efficient gas collection systems.
A proposed gas collection system combining vertical wells, horizontal trenches, and under-membrane pipes is discussed to enhance efficiency and reduce environmental risks.
The study provides valuable insights into waste management and landfill gas emissions on Kish Island, underscoring the significance of accurate emission prediction and effective management to minimize environmental consequences and optimize the utilization of renewable energy resources.

Related Results

Quantifying Methane Emissions Through Process Simulations Model and Beyond
Quantifying Methane Emissions Through Process Simulations Model and Beyond
Abstract Methane concentration in the atmosphere is increasing steadily and this increment is driving climate change and continue to rise. Although the estimates of ...
Urban Methane Emissions in Auckland, New Zealand
Urban Methane Emissions in Auckland, New Zealand
<p><b>Using a mobile survey sampling technique, my research investigates the spatial distribution of urban methane emissions in Auckland, New Zealand. The mobile survey...
Study on Characteristics and Model Prediction of Methane Emissions in Coal Mines: A Case Study of Shanxi Province, China
Study on Characteristics and Model Prediction of Methane Emissions in Coal Mines: A Case Study of Shanxi Province, China
The venting of methane from coal mining is China’s main source of methane emissions. Accurate and up-to-date methane emission factors for coal mines are significant for reporting a...
Comparisons of Pore Structure for Unconventional Tight Gas, Coalbed Methane and Shale Gas Reservoirs
Comparisons of Pore Structure for Unconventional Tight Gas, Coalbed Methane and Shale Gas Reservoirs
Extended abstract Tight sands gas, coalbed methane and shale gas are three kinds of typical unconventional natural gas. With the decrease of conventional oil and gas...
Comparison of Methane Control Methods in Polish and Vietnamese Coal Mines
Comparison of Methane Control Methods in Polish and Vietnamese Coal Mines
Methane hazard often occurs in hard coal mines and causes very serious accidents and can be the reason of methane or methane and coal dust explosions. History of coal mining shows ...
Modeling of Methane Gas Generation and Emissions from Landfills
Modeling of Methane Gas Generation and Emissions from Landfills
This study was carried out to develop a model capable of predicting the generation and potential emission of methane gas into the environment. Ryerson Landfill Gas Model (RLFGM) wa...
Modeling of Methane Gas Generation and Emissions from Landfills
Modeling of Methane Gas Generation and Emissions from Landfills
This study was carried out to develop a model capable of predicting the generation and potential emission of methane gas into the environment. Ryerson Landfill Gas Model (RLFGM) wa...
[RETRACTED] Keanu Reeves CBD Gummies v1
[RETRACTED] Keanu Reeves CBD Gummies v1
[RETRACTED]Keanu Reeves CBD Gummies ==❱❱ Huge Discounts:[HURRY UP ] Absolute Keanu Reeves CBD Gummies (Available)Order Online Only!! ❰❰= https://www.facebook.com/Keanu-Reeves-CBD-G...

Back to Top