Title
Spatio-Temporal Distribution Of Atmosphere Pollutants During Winter Heating Period Over Su-Lu-Yu-Wan Provinces
Abstract
With rapid developments of China's economy and industrial modernization, the increasing consumption of coal, oil and other fossil fuels have led to rapidly growing of abnormal aerosols, causing frequently regional haze episodes and having a significant negative impact on human health [1, 2]. As we all know, coal is the main fuel used for the government advocated centralized heating system throughout our northern cities, which is driven by large-capacity boilers in heating stations and power plants [3-5].To evaluate the influence of winter heating on the spatio-temporal distribution of atmosphere pollutants, a study area covering Jiangsu, Shandong, Henan and Anhui (JSHA) provinces in central China, which includes centralized heating cities and nonheating cities, is selected for our case study. The MODIS Collection 6 aerosol optical depth products (MOD04) and ground-based measurements from air quality monitoring stations were employed for analysis. In order to minimize data contamination, March and April were excluded from the analysis because sand storms might occur. Therefore, the heating seasons was generally defined as between November 16 and the end of the following February and the non-heating season was defined as between May 1 and November 15 in the study area [ 3].First, the half monthly average of pollutant concentration of the four provincial capital cities, including PM10, PM2.5, SO2, NO2, CO and O-3 at air quality monitoring stations, are computed from 1 September 2014 to 31 August 2015. According to the division of central heating area, Zhengzhou and Jinan are divided into winter heating City, Hefei and Nanjing are divided into non heating cities in this paper. It can be observed that the concentrations of PM2.5, PM10, SO2, NO2, CO in winter heating seasons are two times more than that of non-heating seasons. But the distribution of O-3 is opposite. The concentration from large to small, followed by Zhengzhou, Jinan and Hefei for PM2.5 during the winter heating seasons, which shows that the air quality of the winter heating cities are worse than the non-heating cities in winter. For PM10, SO2, CO, the concentration of Zhengzhou and Jinan is still higher; the difference between Hefei and Nanjing is small. For NO2, the concentration values of Zhengzhou, Jinan and Nanjing are greater than than of Hefei.Then, the annual mean values, annual mean value during heating period, and annual mean value during non-heating period of MODIS fine mode aerosol optical depth (AOD) are calculated from 2005-2014, respectively. On the whole, the fine mode AOD showed an increasing trend during the period. The annual mean values increased significantly from 2005 to 2007 while that of 2008-2009 showed a downward trend, and then increased to the highest value in 2011, 2012-2014 showed a little downward trend again. High values are distributed in northwest of Shandong and Eastern Henan during the last 10 years, meanwhile the JSHA linking region and some large and medium-sized cities in Jiangsu province also have the high value.Finally, the AODs are calibrated to ground-level AOD* through the vertical correction and humidity.It is revealed that: 1) the concentrations of atmosphere pollutants including PM2.5, PM10, SO2 in winter heating seasons were greater than that in non-heating seasons, and the concentration values is higher in northern areas than in southern. 2) the annual averaged fine-mode AOD decreased between 2008 and 2009, but increasing trends occurred during 2005-2014; 3) the high values of fine-mode AOD distributed in central heating areas and large city without central heating systems; 4) household winter heating existed widely in the south of AnHui and JiangSu province that not belongd to government cental heating areas.
Year
DOI
Venue
2016
10.1109/IGARSS.2016.7730099
2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS)
Field
DocType
ISSN
Meteorology,Atmosphere,Environmental protection,Heating system,Thermal pollution,Computer science,China,Remote sensing,Air quality index,Fossil fuel,Coal,Haze
Conference
2153-6996
Citations 
PageRank 
References 
0
0.34
0
Authors
4
Name
Order
Citations
PageRank
Yang Bai16824.51
Lixin Wu29435.60
Yuan Zhou300.34
Kai Qin400.34