Landfill gas (LFG), primarily methane (CH4), is a potent greenhouse gas with a 28-fold greater global warming potential than carbon dioxide over 100 years. In the United States, LFG accounts for roughly 15% of all methane emissions, making it the third-largest human-caused source. This necessitates precise and dependable LFG modeling tools to manage this environmental challenge effectively. The US Environmental Protection Agency's (EPA) LandGEM model, the established regulatory tool, has limitations that can lead to inaccurate LFG emission estimates, hindering the development of efficient emission reduction strategies.  

Recent advancements offer promising solutions, such as real-time sensors, remote sensing techniques using satellite and drone imagery to monitor large landfills, and tracer gas technology. By integrating robust data collection protocols, centralized databases, and LFG modeling with satellite data and GIS tools, we can significantly enhance model accuracy and effectiveness. This, in turn, will support informed decision-making on landfill management, emission reduction strategies, and optimal LFG collection and utilization plans. Ultimately, this research contributes to a more sustainable future by advancing LFG modeling as a crucial tool in combating climate change. 

After attending this session, participants will be able to:  

• Identify emerging technologies for improved LFG modeling. 

• Explain the benefits of enhanced LFG modeling for decision-making. 

• Analyze the importance of data collection and integration for effective LFG modeling.