Published June 2019 | Version v1
Journal article

An experimental study to quantify road greenbelts and their association with PM2.5 concentration along city main roads in Nanjing, China

  • 1. College of Landscape Architecture, Nanjing Forestry University (China)
  • 2. Arthur Temple College of Forestry and Agriculture, Stephen F. Austin State University, United States of America (United States)
  • 3. College of Art & Design, Nanjing Forestry University (China)

Description

Highlights: • Three-dimensional green volume (3DGV) was used to evaluate the vegetation quantity of road greenbelts. • A 3DGV GIS database was developed based on UAV collected high resolution othomosaic images and field survey. • Large 3DGV of greenbelts does not mean lower PM2.5 concentration. • Greenbelt with even vertical distribution of biomass and diversified species works better to reduce PM2.5 concentration. • Road greenbelt development should be systematically planned to maximize its ecoservices. -- Abstract: Air pollution is an important environmental and health concern all over the world and PM2.5 is one of the most important constituents of air pollution. In urban area with high population density, vehicles contribute a big portion of PM2.5. The effect of vegetations along road, i.e., road greenbelts, on PM2.5 concentration is still a hot research topic. This study used three-dimensional green volume (3DGV, the three-dimensional volume of the crown and stems of all vegetations including trees, shrubs and grass) to evaluate the vegetation quantity of road greenbelts along four main roads in Nanjing, China. High spatial resolution images were collected with unmanned aerial vehicle (UAV) for othomosaic and feature extraction analysis. A Geographic Information System (GIS) database was developed to cover the location, crown diameter, crown height, and 3DGV information of vegetations in the road greenbelts. The environmental benefits of the road greenbelts were evaluated based on 3DGV information. The relationship between 3DGV of road greenbelts and PM2.5 concentration was analyzed and it was found that large 3DGV does not mean lower PM2.5 concentration. A road greenbelt with even vertical distribution of biomass and diversified vegetation species works better to reduce PM2.5 concentration. The implication of this research is that road greenbelt development should systematically consider surface water control, noise reduction, recreation, aesthetic, and air pollution control, thus to maximize its ecoservices to human being.

Additional details

Identifiers

DOI
10.1016/j.scitotenv.2019.02.306;
PII
S0048969719308058;

Publishing Information

Journal Title
Science of the Total Environment
Journal Volume
667
Journal Page Range
p. 710-717
ISSN
0048-9697
CODEN
STENDL

INIS

Country of Publication
Netherlands
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
55068816
Subject category
S54: ENVIRONMENTAL SCIENCES;
Descriptors DEI
AESTHETICS; AIR POLLUTION; AIR POLLUTION CONTROL; BIOMASS; CONCENTRATION RATIO; GRAMINEAE; POPULATION DENSITY; SHRUBS; SPATIAL RESOLUTION; TREES; URBAN AREAS; VEHICLES
Descriptors DEC
CONTROL; DIMENSIONLESS NUMBERS; ENERGY SOURCES; LILIOPSIDA; MAGNOLIOPHYTA; PLANTS; POLLUTION; POLLUTION CONTROL; RENEWABLE ENERGY SOURCES; RESOLUTION

Optional Information

Copyright
Copyright (c) 2019 Elsevier B.V. All rights reserved.