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Updated: May 19, 2026
07:56
Evaluating Regional Pulmonary Deposition using Patient-Specific 3D Printed Lung Models
Published on: November 11, 2020
Development of a distributed air pollutant dry deposition modeling framework.
Satoshi Hirabayashi1, Charles N Kroll, David J Nowak
1The Davey Institute, The Davey Tree Expert Company, Syracuse, NY 13210, United States. satoshi.hirabayashi@davey.com
Environmental Pollution (Barking, Essex : 1987)
|August 4, 2012
Summary
A new system models air pollutant dry deposition using GIS to help urban forest managers improve air quality. It quantifies deposition of CO, NO2, SO2, and PM10, aiding urban planning and tree protection.
Area of Science:
- Environmental Science
- Urban Ecology
- Atmospheric Chemistry
Background:
- Urban forests play a crucial role in mitigating air pollution.
- Accurate assessment of air pollutant dry deposition is essential for understanding urban ecosystem health.
- Existing modeling tools often lack the spatial resolution needed for targeted urban forest management.
Purpose of the Study:
- To develop a distributed air pollutant dry deposition modeling system integrated with a Geographic Information System (GIS).
- To enhance the capabilities of the i-Tree Eco model for urban forest applications.
- To provide a spatially explicit tool for quantifying dry deposition of key air pollutants onto trees.
Main Methods:
- Integration of a GIS with the i-Tree Eco model.
- Estimation of spatially distributed temperature, Leaf Area Index (LAI), and air pollutant concentrations.
- Spatially explicit quantification of dry deposition for carbon monoxide (CO), nitrogen dioxide (NO2), sulfur dioxide (SO2), and particulate matter less than 10 microns (PM10).
- Utilized national road networks, traffic data, emission inventories, and meteorological data.
Main Results:
- Successful development of a spatially distributed dry deposition modeling system.
- Demonstrated capability to estimate key environmental variables and pollutant concentrations.
- Quantified dry deposition of CO, NO2, SO2, and PM10 onto urban trees with spatial resolution.
- A case study in Baltimore, MD, showcased the system's usability.
Conclusions:
- The developed system provides a valuable framework for U.S. city managers.
- Enables identification of urban forest spatial patterns and areas for improvement.
- Supports strategic urban forest planting and protection initiatives to enhance air quality.
- Offers a tool for informed decision-making in urban environmental management.
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