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Design and Use of a Full Flow Sampling System FFS for the Quantification of Methane Emissions
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A web based methane emissions modelling platform: Models and software development.

Long Ta Bui1, Phong Hoang Nguyen1, Duyen Chau My Nguyen1

  • 1Laboratory for Environmental Modelling, Faculty of Environment and Natural Resources, Ho Chi Minh City University of Technology (HCMUT), 268 Ly Thuong Kiet Street, District 10, Ho Chi Minh City, Viet Nam; Vietnam National University Ho Chi Minh City (VNU-HCM), Linh Trung Ward, Thu Duc District, Ho Chi Minh City, Viet Nam.

Waste Management (New York, N.Y.)
|August 21, 2021
PubMed
Summary
This summary is machine-generated.

A new web-based platform, EnLandFill, estimates regional methane (CH4) emissions from landfills. This tool aids in assessing landfill impacts and quantifying emissions using advanced modeling and GIS integration.

Keywords:
Emission modelGIS applicationInverse ModelMethane emissionWeb technology

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Area of Science:

  • Environmental Science
  • Atmospheric Chemistry
  • Geographic Information Systems (GIS)

Background:

  • Landfills are significant sources of methane (CH4), a potent greenhouse gas.
  • Accurate estimation of regional methane emissions is crucial for climate change mitigation strategies.
  • Existing methods for quantifying landfill methane emissions often lack integrated modeling and user-friendly interfaces.

Purpose of the Study:

  • To develop a comprehensive platform for estimating methane emissions from landfills using integrated modeling and web technologies.
  • To create user-friendly software (EnLandFill) for accessing landfill data and emission information.
  • To implement an inverse algorithm for determining waste source capacity considering complex environmental factors.

Main Methods:

  • Development of a web-based software platform (EnLandFill) integrating databases and Geographic Information Systems (GIS).
  • Implementation of an inverse algorithm coupled with a dispersion model to estimate methane source capacity.
  • Utilization of meteorological time-series data from the Weather Research and Forecasting (WRF) model for complex terrain analysis.

Main Results:

  • Quantification of methane emissions for key developing regions using EnLandFill software.
  • Prediction of approximately 158,977 tonnes of CH4 emissions (equivalent to 167,786,878 m3) for the period 2019-2030.
  • Demonstration of the software's capability to evaluate the scope and impact of landfill emissions under various meteorological conditions.

Conclusions:

  • The EnLandFill platform provides an effective tool for regional methane emission assessment from landfills.
  • The integrated approach enhances the accuracy of emission estimations by incorporating complex terrain and meteorological data.
  • The developed software facilitates informed decision-making regarding landfill management and climate change mitigation efforts.