Authors: Yi Wang*, Peking University
Topics: Environment, Landscape, Urban Geography
Keywords: fine particulate matter, urban green space, planting location
Session Type: Paper
Start / End Time: 2:00 PM / 3:40 PM
Room: Madison A, Marriott, Mezzanine Level
Presentation File: No File Uploaded
Urban trees can help remove air pollution related to human health. Many developing cities with limited green space need more ambitious tree planting to help remove air pollution, reach the air quality standard, and provide benefits but lack quantitative tools to explore priority planting locations and potential tradeoffs like removal rate and related health value. This work demonstrates a quantitative method for exploring priority planting by the tradeoffs of air pollution and related health value in Shenzhen, using UFORE model based on metrics. Tree planting scenarios were developed to meet Shenzhen government’s goal of 40% forest cover in 2025. Two planting schemes were created based on the individual optimization of a number of metrics related to services and benefits of air pollution. The results demonstrate the priority planting location of air pollution removal rate is near the existing forests in suburbs, while the priority planting location for health benefits is in the central, revealing tradeoffs between the aim of achieving highest removal rate or providing highest health values for citizens. Our results also ask the questions for government that the location to plant trees should be chosen for political achievements or for human benefits. With further development, the other indicator such as cost of tree planting, aesthetic values and long-term maintenance costs and needs can be used according to urban planning targets and manager goals to the identify the urban forest location.