中国田块尺度露天生物质燃烧NOx遥感排放清单

大气与环境光学学报 ›› 2022, Vol. 17 ›› Issue (6): 655-669.

• “新型卫星载荷大气遥感及应用” 专辑 • 上一篇下一篇

中国田块尺度露天生物质燃烧NOx遥感排放清单

沈永林1, 江昌民2, 肖泽敏2, 姚凌3, 秦凯4∗

1 中国地质大学(武汉) 国家地理信息系统工程技术研究中心, 湖北武汉430074; 2 中国地质大学(武汉) 地理与信息工程学院, 湖北武汉430074; 3 中国科学院地理科学与资源研究所资源与环境信息系统国家重点实验室, 北京100101; 4 中国矿业大学环境与测绘学院, 江苏徐州221116

收稿日期:2022-04-18 修回日期:2022-09-07 出版日期:2022-11-28 发布日期:2022-12-14
通讯作者: E-mail: qinkai@cumt.edu.cn E-mail:qinkai@cumt.edu.cn
作者简介:沈永林(1983 - ), 湖北钟祥人, 博士, 副教授, 硕士生导师, 主要从事大气环境遥感监测方面的研究。E-mail: shenyl@cug.edu.cn
基金资助:
Supported by National Key Research and Development Program of China (国家重点研发计划, 2020YFB2103403), Open Fund of Key Laboratory of National Geographical Census and Monitoring, Ministry of Natural Resources (自然资源部地理国情监测重点实验室开放基金, 2022NGCM05)

Remote sensing emission inventory of field-level open biomass burning NOx of China

SHEN Yonglin1, JIANG Changmin2, XIAO Zemin2, YAO Ling3, QIN Kai4∗

1 School of Geography and Information Engineering, China University of Geosciences, Wuhan 430074, China; 2 National Engineering Research Center of Geographic Information System, China University of Geosciences, Wuhan 430074, China; 3 State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; 4 School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China

Received:2022-04-18 Revised:2022-09-07 Published:2022-11-28 Online:2022-12-14
Contact: Kai Qin E-mail:qinkai@cumt.edu.cn

摘要/Abstract

摘要： 针对不同土地覆盖类型特别是作物空间分布, 提出一种顾及火点像元地物类别先验概率的排放因子加权策略, 并结合热辐射功率(FRP) 昼夜周期分布的假设, 建立了我国逐日1 km 的田块尺度露天生物质燃烧氮氧化物(NOx) 遥感排放清单。为验证FRP 昼夜周期分布假设的合理性, 与Himawari-8 FRP 反演结果进行比较, 两者相关系数约为 0.65。同时, 为验证排放清单的有效性, 将估算结果与全球火情数据库(GFED)、湖北省内三个环境监测站点观测资料、臭氧监测仪(OMI) 遥感观测数据等进行了对比验证。对比结果显示所建立的排放清单与其中两站点观测数据的相关系数分别为0.56 和0.65, 与GFED 数据库以及OMI 数据具有较好的一致性, 且具有更高的时空分辨率。

关键词: 露天生物质燃烧, 田块尺度, 氮氧化物, 排放清单, 土地覆盖

Abstract: Aiming at different land cover types, especially the spatial distribution of crops, an emission factor (EF) weighting strategy, which considers the prior probability of the elaborate crop distribution within the fire pixels, was proposed, and then under the assumption of Gaussian distribution of diurnal cycle of fire radiative power (FRP), the emission inventory of nitrogen oxide (NOx) from biomass combustion on field-level of China was constructed. To validate the assumption of Gaussian distribution of diurnal cycle of FRP, comparison between the established emission inventory and the Himawari-8 satellite observations was conducted, and the Pearson correlation coefficient between the two results reaches 0.65. Meanwhile, in order to evaluate the emission inventory, comparisons with the global fire emission database (GFED), in-situ observations at three environmental monitoring stations in Hubei Province and ozone monitoring instrument (OMI) product were also conducted. It is shown that the correlation coefficients between the emission inventories established in this study and the two in-situ observations are 0.56 and 0.65, respectively, and in other hand, the emission inventory agrees well with GFED database and OMI observations in general with higher spatiotemporal resolution.

Key words: open biomass burning, field-level, NOx, emission inventory, land cover

中图分类号:

X511
TP79

沈永林, 江昌民, 肖泽敏, 姚凌, 秦凯∗. 中国田块尺度露天生物质燃烧NOx遥感排放清单[J]. 大气与环境光学学报, 2022, 17(6): 655-669.

SHEN Yonglin, JIANG Changmin, XIAO Zemin, YAO Ling, QIN Kai∗ (. Remote sensing emission inventory of field-level open biomass burning NOx of China[J]. Journal of Atmospheric and Environmental Optics, 2022, 17(6): 655-669.

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中国田块尺度露天生物质燃烧NOx遥感排放清单

Remote sensing emission inventory of field-level open biomass burning NOx of China

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