An improved gridded polycyclic aromatic hydrocarbon emission inventory for the lower reaches of the Yangtze River Delta region from 2001 to 2015 using satellite data

Li, Baojie; Zhou, Shenglü; Wang, Teng; Sui, Xueyan; Li, Yan; Wang, Junxiao; Wu, Shishan

doi:10.1016/j.jhazmat.2018.08.011

Cited by 26 publications

(14 citation statements)

References 44 publications

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“…1a) because of the difference in PAHs emissions in various regions. For another example, although the mean f oc (6.4%) in sediments from the upper reach of Huaihe River 44 was higher than that in sediments from the lower reach of Huaihe River (f oc =4.1%) 45 , C ΣPAHs in sediments from the lower reach of Huaihe River (mean value = 1721.7 µg/kg) 45 were higher than that from the upper reach (mean value = 400.5 µg/kg) 44 , because the emission intensity of PAHs in lower reach of Huaihe River region was higher than that in the upper reach region 39,46 . Moreover, a signi cantly positive correlation between mean concentrations of 13 PAHs (except for Nap, Acy and Ace) in sediment samples derived from globe (N = 1445) and their mean EFs in 15 emission sources was also observed (Fig.…”

Section: Characteristic Congeners Of Pahs In Emissionmentioning

confidence: 76%

“…A most possible reason is that the difference in emitted concentrations of PAHs congeners for various sources is ignored in these predicted relationships. For example, at the equivalent emission concentrations of PAHs (E PAHs ), i.e., 4.39 g/t for iron sintering and 4.51 g/t for gasoline combustion (Table 1), emission concentration of Ace (Table 1) from iron sintering is 0.079 g/t, about 2 orders of magnitude larger than that 0.00046 g/t of gasoline combustion 38,39 . In this study, by classifying 16 PAHs congeners according to the relative similarities of PAHs emission factors from various sources, we observed that there are four characteristic PAHs congeners, i.e., Nap, Acy, Phe and BaA, which can be employed to predicted the total emission of PAHs using the established novel multiple linear relationship.…”

Section: Introductionmentioning

confidence: 96%

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Predicting the Total PAHs Concentrations in Sediments from Selected Congeners Using a Multiple Linear Relationship

Wang

Lin

et al. 2021

Preprint

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In this study, four congeners, i.e., naphthalene (Nap), acenaphthylene (Acy), phenanthrene (Phe) and benz(a)anthracene (BaA), screened out by hierarchical clustering analysis from 16 PAHs, are the characteristic PAHs congeners in emission sources and in sediments. Novel multiple linear relationships, i.e., the total PAHs emission factors and the total PAHs concentration with the emission factors of Nap, Acy, Phe and BaA and their sediment concentrations data reported in the past 30 years were established, respectively. The same characteristic congeners observed for PAHs in sediments and in emission sources indicates that the concentration of PAHs in sediments are largely dependant on the PAHs emission. Moreover, the ratio of multicomponents coefficient from the multiple linear relationship in sediments to that in emission sources correlated positively with the logKow values and biodegradation half-lifes of four characteristic congeners, indicating PAHs concentrations in sediments are also alternated by their environmental behaviors including sorption and biodegradation. However, the established relationship gives a useful way to predicted C∑PAHs in sediments without the PAHs emissions data and can eliminate the effects of environmental behaviors and the difference of emissions in various regions.

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Section: Characteristic Congeners Of Pahs In Emissionmentioning

confidence: 76%

Section: Introductionmentioning

confidence: 96%

Predicting the Total PAHs Concentrations in Sediments from Selected Congeners Using a Multiple Linear Relationship

Wang

Lin

et al. 2021

Preprint

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“…NH3 emissions from combusted crop residue were estimated based on crop yield, grain-to-straw ratio, combustion ratio, and combustion efficiency (Zhou et al, 2017). The contribution of firewood combustion to NH3 emissions was derived from (Cong et al, 2017 based on previous studies (Qiu et al, 2016;Li et al, 2018). The emissions originating from human excrement were calculated based on the daily excretion data corresponding to children and adults, rural populations, and the fraction of tatty latrines in each province (Huang et al, 2012).…”

Section: Nh3 Emission From Other Sourcesmentioning

confidence: 99%

Improved gridded ammonia emission inventory in China

Li¹,

Chen²,

Shen³

et al. 2021

Preprint

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Abstract. As a major alkaline gas in the atmosphere, NH3 significantly impacts atmospheric chemistry, ecological environment, and biodiversity. Gridded NH3 emission inventories can significantly affect the accuracy of model concentrations and play a crucial role in the refinement of mitigation strategies. However, several uncertainties are still associated with existing NH3 emission inventories in China. Therefore, in this study, we focused on improving fertilizer application-related NH3 emission inventories. We comprehensively evaluated the dates and times of fertilizer application to the major crops that are cultivated in China, improved the spatial allocation methods for NH3 emissions from croplands with different rice types, and established a gridded NH3 emission inventory for mainland China with a resolution of 5 min × 5 min in 2016. The results showed that the atmospheric NH3 emissions in mainland China amounted to 12.11 Tg, with livestock waste (44.8 %) and fertilizer application (38.6 %) being the two main NH3 emission sources in China. Obvious spatial differences in NH3 emissions were also observed, and high emissions were predominantly concentrated in North China. Further, NH3 emissions tended to be high in summer and low in winter, and the ratio for the July–January period was 3.08. Furthermore, maize and rice fertilization in summer was primarily responsible for the increase in NH3 emissions in China, and the evaluation of the spatial and temporal accuracy of the NH3 emission inventory established in this study using the WRF-Chem and ground station- and satellite-based observations showed that it was more accurate than other inventories.

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“…f The gridded burned area data were determined by coupling the MCD64A1 and MCD14ML fire products based on previous studies (Li et al, 2018;Qiu et al, 2016).…”

Section: Figure Listmentioning

confidence: 99%

Supplementary material to "Improved gridded ammonia emission inventory in China"

Li¹,

Chen²,

Shen³

et al. 2021

Preprint

Self Cite

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An improved gridded polycyclic aromatic hydrocarbon emission inventory for the lower reaches of the Yangtze River Delta region from 2001 to 2015 using satellite data

Cited by 26 publications

References 44 publications

Predicting the Total PAHs Concentrations in Sediments from Selected Congeners Using a Multiple Linear Relationship

Predicting the Total PAHs Concentrations in Sediments from Selected Congeners Using a Multiple Linear Relationship

Improved gridded ammonia emission inventory in China

Supplementary material to "Improved gridded ammonia emission inventory in China"

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An improved gridded polycyclic aromatic hydrocarbon emission inventory for the lower reaches of the Yangtze River Delta region from 2001 to 2015 using satellite data

Cited by 26 publications

References 44 publications

Predicting the Total PAHs Concentrations in Sediments from Selected Congeners Using a Multiple Linear Relationship

Predicting the Total PAHs Concentrations in Sediments from Selected Congeners Using a Multiple Linear Relationship

Improved gridded ammonia emission inventory in China

Supplementary material to &quot;Improved gridded ammonia emission inventory in China&quot;

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Supplementary material to "Improved gridded ammonia emission inventory in China"