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《Environmental Science & Technology》 2018-06
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Space Distribution Characteristics of Near-surface CO_2 Concentration in Summer of Urumqi

CAI Yinchao;HAN Wei;GUAN Wenke;FEI Bingqiang;MA Xiaohua;DANG Yaling;School of Geographic Science and Tourism,Xinjiang Normal University;Key Laboratory of Arid Area of Lake Environment and Natural Resources of Xinjiang;Institute of Afforestation and Sand Control,Xinjiang Academy of Forestry Science;  
Recognizing the spatial distribution of near-surface CO_2 concentrations in cities is important to control greenhouse gas emissions and create livable cities. Using Li-6400 infrared CO_2 analyzer, with urban area of Urumqi as the research object, the mobile monitoring means were adopted to collect near-surface CO_2 concentration, remote sensing data to obtain the characteristics of the underlying surface of the city information. Starting from the origin(monitoring starting point), three typical underlying surface buffer zones(AL, HB, HN) were set along the main roads of the city. The correlation between near surface CO_2 concentration and underlying surface and meteorological elements was analyzed. The results showed that average CO_2 concentration near the ground in Urumqi was(451.21 ± 25.0) μmol/mol. The spatial distribution of near-surface CO_2 concentration presents the development trend of "northward high and southward low". There is a strong correlation between near-surface CO_2 concentration and wind speed, with a correlation coefficient of-0.72(P0.01), and a relatively weak correlation with humidity and pressure, with correlation coefficients of-0.40 and-0.35(P0.05). There is a significant correlation between near-surface CO_2 concentration in Urumqi and underlying land use types in the 1 km buffer zone. There was a significant positive correlation between near-surface CO_2 concentration and construction land coverage,with a correlation coefficient of 0.73(P0.01) and a significant negative correlation with green space coverage with a correlation coefficient of-0.43(P0.05). It can be concluded that the spatial distribution of near-surface CO_2 concentration in urban areas is closely related to the underlying surface properties and meteorological factors.
【Fund】: 新疆干旱区湖泊环境与资源重点实验室开放基金(XJDX0909-2012-07);; 新疆师范大学“十三五”校级重点学科地理学招标课题资助(17SDKD0704);; 新疆维吾尔自治区科技支撑专项塔里木河中下游胡杨生态修复研究与示范(HY-2.3);; 教育部人文社会科学研究项目青年基金(14XJJCZH003)
【CateGory Index】: X511
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