气候变化领域集成服务门户(CCPortal): The MAPM (Mapping Air Pollution eMissions) method for inferring particulate matter emissions maps at city scale from in situ concentration measurements: Description and demonstration of capability

CCPortal

DOI	10.5194/acp-21-14089-2021
	The MAPM (Mapping Air Pollution eMissions) method for inferring particulate matter emissions maps at city scale from in situ concentration measurements: Description and demonstration of capability
	Nathan B.; Kremser S.; Mikaloff-Fletcher S.; Bodeker G.; Bird L.; Dale E.; Lin D.; Olivares G.; Somervell E.
发表日期	2021
ISSN	1680-7316
起始页码	14089
结束页码	14108
卷号	21 期号:18
英文摘要	Mapping Air Pollution eMissions (MAPM) is a 2-year project whose goal is to develop a method to infer particulate matter (PM) emissions maps from in situ PM concentration measurements. Central to the functionality of MAPM is an inverse model. The input of the inverse model includes a spatially distributed prior emissions estimate and PM measurement time series from instruments distributed across the desired domain. In this proof-of-concept study, we describe the construction of this inverse model, the mathematics underlying the retrieval of the resultant posterior PM emissions maps, the way in which uncertainties are traced through the MAPM processing chain, and plans for future developments. To demonstrate the capability of the inverse model developed for MAPM, we use the PM2.5 measurements obtained during a dedicated winter field campaign in Christchurch, New Zealand, in 2019 to infer PM2.5 emissions maps on a city scale. The results indicate a systematic overestimation in the prior emissions for Christchurch of at least 40ĝ€¯%-60ĝ€¯%, which is consistent with some of the underlying assumptions used in the composition of the bottom-up emissions map used as the prior, highlighting the uncertainties in bottom-up approaches for estimating PM2.5 emissions maps. © Copyright:
语种	英语
scopus关键词	air quality; atmospheric pollution; carbon dioxide; carbon emission; concentration (composition); particulate matter; time series analysis; uncertainty analysis; Canterbury [South Island]; Christchurch [Canterbury]; New Zealand; South Island
来源期刊	ATMOSPHERIC CHEMISTRY AND PHYSICS
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/246564
作者单位	Niwa, Wellington, New Zealand; Bodeker Scientific, Alexandra, New Zealand; School of Physical and Chemical Sciences, University of Canterbury, Christchurch, New Zealand; Niwa, Auckland, New Zealand
推荐引用方式 GB/T 7714	Nathan B.,Kremser S.,Mikaloff-Fletcher S.,et al. The MAPM (Mapping Air Pollution eMissions) method for inferring particulate matter emissions maps at city scale from in situ concentration measurements: Description and demonstration of capability[J],2021,21(18).
APA	Nathan B..,Kremser S..,Mikaloff-Fletcher S..,Bodeker G..,Bird L..,...&Somervell E..(2021).The MAPM (Mapping Air Pollution eMissions) method for inferring particulate matter emissions maps at city scale from in situ concentration measurements: Description and demonstration of capability.ATMOSPHERIC CHEMISTRY AND PHYSICS,21(18).
MLA	Nathan B.,et al."The MAPM (Mapping Air Pollution eMissions) method for inferring particulate matter emissions maps at city scale from in situ concentration measurements: Description and demonstration of capability".ATMOSPHERIC CHEMISTRY AND PHYSICS 21.18(2021).