Dataset Information

Species-specified VOC emissions derived from a gridded study in the Pearl River Delta, China.

ABSTRACT: This study provides a top-down approach to establish an emission inventory of volatile organic compounds (VOC) based on ambient measurements, by combining the box model and positive matrix factorization (PMF) model. Species-specified VOC emissions, source contributions, and spatial distributions are determined based on regional-scale gridded measurements between September 2008 to December 2009 in the Pearl River Delta (PRD), China. The most prevalent anthropogenic species in the PRD was toluene estimated by the box model to be annual emissions of 167.8?±?100.5 Gg, followed by m,p-xylene (68.0?±?45.0 Gg), i-pentane (49.2?±?40.0 Gg), ethene (47.6?±?27.6 Gg), n-butane (47.5?±?40.7 Gg), and benzene (46.8?±?29.0 Gg). Alkanes such as propane, i-butane, and n-pentane were 2-8 times higher in box model than emission inventories (EI). Species with fewer emissions were highly variable between EI and box model results. Hotspots of VOC emissions were identified in southwestern PRD and port areas, which were not reflected by bottom-up EI. This suggests more research is needed for VOC emissions in the EI, especially for fuel evaporation, industrial operations and marine vessels. The species-specified top-down method can help improve the quality of these emission inventories.

SUBMITTER: Mo Z

PROVIDER: S-EPMC5813039 | biostudies-literature | 2018 Feb

REPOSITORIES: biostudies-literature

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Species-specified VOC emissions derived from a gridded study in the Pearl River Delta, China.

Mo Ziwei Z Shao Min M Liu Ying Y Xiang Yang Y Wang Ming M Lu Sihua S Ou Jiamin J Zheng Junyu J Li Meng M Zhang Qiang Q Wang Xuemei X Zhong Liuju L

Scientific reports 20180214 1

This study provides a top-down approach to establish an emission inventory of volatile organic compounds (VOC) based on ambient measurements, by combining the box model and positive matrix factorization (PMF) model. Species-specified VOC emissions, source contributions, and spatial distributions are determined based on regional-scale gridded measurements between September 2008 to December 2009 in the Pearl River Delta (PRD), China. The most prevalent anthropogenic species in the PRD was toluene ...[more]

PMID: 29445109

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Project description:BackgroundIn recent years, frequent outbreaks of dengue fever (DF) have become an increasingly serious public health issue in China, especially in the Pearl River Delta (PRD) with fast socioeconomic developments. Previous studies mainly focused on the historic DF epidemics, their influencing factors, and the prediction of DF risks. However, the future risks of this disease under both different socioeconomic development and representative concentration pathways (RCPs) scenarios remain little understood.Methodology and principal findingsIn this study, a spatial dataset of gross domestic product (GDP), population density, and land use and land coverage (LULC) in 2050 and 2070 was obtained by simulation based on the different shared socioeconomic pathways (SSPs), and the future climatic data derived from the RCP scenarios were integrated into the Maxent models for predicting the future DF risk in the PRD region. Among all the variables included in this study, socioeconomics factors made the dominant contribution (83% or so) during simulating the current spatial distribution of the DF epidemics in the PRD region. Moreover, the spatial distribution of future DF risk identified by the climatic and socioeconomic (C&S) variables models was more detailed than that of the climatic variables models. Along with global warming and socioeconomic development, the zones with DF high and moderate risk will continue to increase, and the population at high and moderate risk will reach a maximum of 48.47 million (i.e., 63.78% of the whole PRD) under the RCP 4.5/SSP2 in 2070.ConclusionsThe increasing DF risk may be an inevitable public health threat in the PRD region with rapid socioeconomic developments and global warming in the future. Our results suggest that curbs in emissions and more sustainable socioeconomic growth targets offer hope for limiting the future impact of dengue, and effective prevention and control need to continue to be strengthened at the junction of Guangzhou-Foshan, north-central Zhongshan city, and central-western Dongguan city. Our study provides useful clues for relevant hygienic authorities making targeted adapting strategies for this disease.

Dataset Information

Species-specified VOC emissions derived from a gridded study in the Pearl River Delta, China.

Publications

Species-specified VOC emissions derived from a gridded study in the Pearl River Delta, China.

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