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Published on: June 12, 2016
A High-Resolution Inventory of Anthropogenic Methane Emissions in New York State
Matthew L Loman1, Lee T Murray1,2, Eric M Leibensperger3
1Department of Earth and Environmental Sciences, University of Rochester, Rochester, New York 14627, United States.
This study provides a detailed 2020 methane emissions inventory for New York State, crucial for meeting emission reduction targets. The high-resolution data supports local-scale analysis and climate modeling efforts.
Area of Science:
- Environmental Science
- Atmospheric Chemistry
- Climate Change Research
Background:
- Growing concern over anthropogenic methane emissions drives regulatory action, such as New York State's emission reduction mandates.
- Accurate, high-resolution methane emission inventories are essential for effective air quality management and climate change mitigation.
Purpose of the Study:
- To develop a spatially disaggregated inventory of anthropogenic methane emissions for New York State in 2020.
- To provide data at 100 m horizontal and monthly temporal resolution to support regional modeling efforts.
Main Methods:
- Compiled and distributed methane emissions data for 82 source categories from New York State Department of Environmental Conservation (NYSDEC) and New York State Energy Research and Development Authority (NYSERDA) inventories.
- Compared the developed inventory with existing gridded inventories, including the Environmental Protection Agency (EPA) and Emissions Database for Global Atmospheric Research (EDGAR) v8.
Main Results:
- The study presents a 2020 methane emissions inventory for New York State at 100 m resolution.
- NYSDEC and NYSERDA inventories estimate 38% and 170% higher total methane emissions, respectively, compared to EPA and EDGAR v8 inventories, largely due to fossil fuel and landfill emissions.
- The developed inventory shows favorable comparison with the New York City Urban Area inventory.
Conclusions:
- This high-resolution methane emissions inventory is foundational for local-scale analyses and modeling in New York.
- The findings are critical for subnational entities aiming to achieve methane emission reduction targets and improve air quality.
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