复杂下垫面下不透水层的CO_2通量足迹分析——以上海市奉贤大学城为例  

CO_2 flux footprints of impervious layer on complex land surface:A case study at the Fengxian College Park,Shanghai

作　　者：郭智娟[1,2] 龚元 张凯迪[1,2] 张立平 何毅 徐良[3,2] 赵敏[3] 

机构地区：[1]上海师范大学生命与环境科学学院,上海200234 [2]上海师范大学城市生态与环境过程重点实验室,上海200234 [3]上海师范大学旅游学院,上海200234 [4]南京林业大学生物与环境学院,南京210037

出　　处：《环境科学学报》2018年第2期772-779,共8页Acta Scientiae Circumstantiae

基　　金：国家自然科学基金青年基金(No.31100354);上海师范大学旅游学院/上海旅游高等专科学校科研项目(No.KY2017-BX)~~

摘　　要：城市是重要的二氧化碳排放源,研究城市区域CO_2通量与复杂城市下垫面之间的关系有助于深入了解城市碳循环特征.本文基于城市涡动相关系统的通量数据和气象数据,结合研究区CO_2通量信息和土地覆被信息,依据ART(Agroscope Reckenholz Tanikon)Footprint Tool模型(基于Kormann Meixner(KM)模型计算足迹),探讨了城市复杂下垫面尤其是不透水层对于CO_2通量足迹的影响.结果发现,研究区CO_2通量变化范围在2015年5—8月为-6.44~4.62μmol·m-2·s-1,其中,5月和6月均出现CO_2通量最大值(4.62μmol·m-2·s-1),8月出现CO_2通量最小值,为-6.44μmol·m-2·s-1.风向是影响CO_2通量足迹的主要要素,5—8月CO_2通量足迹的范围主要在距离观测塔600 m以内,集中于东南方向,这与此期间盛行东南风有关.研究表明,不透水层的类型会影响CO_2通量的贡献率,距离观测站600 m以内的不透水层的CO_2通量贡献率最大为46.9%,最小为1.5%;其中,建筑的CO_2通量贡献率最大为70%,最小为0.08%,道路的CO_2通量贡献率最大为23.7%,最小为2.92%;不透水层的面积也会影响CO_2通量贡献率,道路的CO_2通量贡献率会随着不透水层面积的增加而增加,呈正相关关系.Urban area is a major carbon dioxide source. The studies on the relationship between carbon flux and the complex underlying surface are critical for improving our understanding of urban carbon cycle. In this study, we used the carbon flux data from eddy eovariance （EC） systems, meteorological data from gradient meteorological monitoring system, and land use and land cover data to explore the influences of impervious layer on carbon footprints with the ART （Agroscope Reckenholz Tanikon） Footprint Tool, which provides an easy-to-use way for calculating footprints after the Kormann Meixner method. We found that： ①The CO2 fluxes varied from-6.44 to 4.62 μmol.m-2.s-1 , during May to August （2015）. The minimum was in August, while the maximum was in May and June. ②Wind direction was the main factor that influences the carbon dioxide footprints. During the study period, the source area distributions of footprint were within 600 meters southeast of the EC tower, consistent with the wind direction. The results showed that the contributions of impervious layer types to footprints are different. For example, the maximum contribution rate of CO2 flux from buildings was 70%, and the minimum was 0.08%. The max contribution rate of CO2 flux from roads was 23.7%, while the minimum was 2.92%. Road area also affects the contribution rate of CO2 flux. The contribution rate of CO2 flux increased with road area.

关 键 词：城市 涡动相关系统 通量源区 

分 类 号：P41[天文地球—大气科学及气象学] X51[环境科学与工程—环境工程]