TY - JOUR
T1 - Model development for spatial variation of PM2.5 emissions from residential wood burning
AU - Tian, Yong Q.
AU - Radke, John D.
AU - Gong, Peng
AU - Yu, Qian
N1 - Funding Information:
This research was supported by a research contract from the California Air Resource Board. We are grateful to Don Rake, Patrick Gaffney, Ray Asregadoo, Michael FitzGibbon and Klaus Scott for providing us with consistent encouragement and valuable suggestions. James E. Houck helped with the design of the initial survey questions and commented on the later drafts. Several other team members undertook the data collection, synthesis and analysis: Demin Zhou, Jianchun Xu, Lan Mu and Manuel Echeverria.
PY - 2004/2
Y1 - 2004/2
N2 - This paper presents a preliminary research result of spatially quantifying and allocating the potential activity of residential wood burning (RWB) by using demographic, hypsographic, climatic and topographic information as independent variables. We also introduce the method for calculating PM 2.5 emission from residential wood combustion with the potential activity as primary variable. A linear regression model was generated to describe spatial and temporal distribution of the potential activity of wood burning as primary heating source. In order to improve the estimation, the classifications of urban, suburban and rural were redefined to meet the specifications of this application. Also, a unique way of defining forest accessibility is found useful in estimating the activity potential of RWB. The results suggest that the potential activity of wood burning is mostly determined by elevation of a location, forest accessibility, urban/non-urban position, climatic conditions and several demographic variables. The analysis results were validated using survey data collected through face-to-face and telephone interviews over the study area in central California. The linear regression model can explain approximately 86% of the variation of surveyed wood burning activity potential. The total PM2.5 emitted from woodstoves and fireplaces is analyzed for the study region at county level.
AB - This paper presents a preliminary research result of spatially quantifying and allocating the potential activity of residential wood burning (RWB) by using demographic, hypsographic, climatic and topographic information as independent variables. We also introduce the method for calculating PM 2.5 emission from residential wood combustion with the potential activity as primary variable. A linear regression model was generated to describe spatial and temporal distribution of the potential activity of wood burning as primary heating source. In order to improve the estimation, the classifications of urban, suburban and rural were redefined to meet the specifications of this application. Also, a unique way of defining forest accessibility is found useful in estimating the activity potential of RWB. The results suggest that the potential activity of wood burning is mostly determined by elevation of a location, forest accessibility, urban/non-urban position, climatic conditions and several demographic variables. The analysis results were validated using survey data collected through face-to-face and telephone interviews over the study area in central California. The linear regression model can explain approximately 86% of the variation of surveyed wood burning activity potential. The total PM2.5 emitted from woodstoves and fireplaces is analyzed for the study region at county level.
KW - 1990 census
KW - Anthropogenic fine particle pollution
KW - Demographic characteristics
KW - Emission
KW - Fire appliances
KW - Residential wood burning
UR - http://www.scopus.com/inward/record.url?scp=0347355429&partnerID=8YFLogxK
U2 - 10.1016/j.atmosenv.2003.10.040
DO - 10.1016/j.atmosenv.2003.10.040
M3 - Article
AN - SCOPUS:0347355429
SN - 1352-2310
VL - 38
SP - 833
EP - 843
JO - Atmospheric Environment
JF - Atmospheric Environment
IS - 6
ER -