Ground Ammonia Concentrations over China Derived from Satellite and Atmospheric Transport Modeling

Liu, Lei; Zhang, Xiuying; Xu, Wen; Liu, Xuejun; Lu, Xuehe; Wang, Shanqian; Zhang, Wuting; Zhao, Limin

doi:10.3390/rs9050467

Cited by 34 publications

(31 citation statements)

References 46 publications

(97 reference statements)

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“…However, we still lack a comprehensive dataset of gridded longterm N r depositions including both the dry (NO 2 , HNO 3 particulate NO Another gap is that, all the abovementioned studies focused on the NO x depositions and did not derive the NH y (NH 3 and NH + 4 ) depositions over China. Our recent work (Liu et al, 2017a) using IASI NH 3 columns combining the vertical profiles from MOZART benefits our understanding of the ground NH 3 concentrations over China, and the satellite-derived ground NH 3 concentrations were generally in accord with the national measurements from NNDMN. To date, there are still no reports of using the satellite NH 3 columns to derive the temporal and regional NH y depositions over China, which dominated the total N r depositions (NO x plus NH y ; L. Liu et al, 2013).…”

Section: Atmospheric Chemistry Transport Model No 2 and Nh 3 Columns mentioning

confidence: 94%

“…For example, in Beijing, the contribution of vehicles equipped with catalytic converters, particularly since the introduction of three-way catalysts, to non-agricultural NH 3 emissions has recently been considered and might be the most important factor influencing NH 3 concentrations in urban cities (Meng et al, 2011;Xu et al, 2017). In addition, Xinjiang Province also emits remarkable NH 3 emissions related to sheep manure management Kang et al, 2016;Zhou et al, 2015;Liu et al, 2017a). The lower NH 3 columns are located mostly in the Tibetan Plateau area, where there is a minimal amount of arable land and low use of synthetic nitrogenous fertilizers.…”

Section: Spatial Patternmentioning

confidence: 99%

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Temporal characteristics of atmospheric ammonia and nitrogen dioxide over China based on emission data, satellite observations and atmospheric transport modeling since 1980

Liu

Zhang

et al. 2017

Atmos. Chem. Phys.

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Abstract. China is experiencing intense air pollution caused in large part by anthropogenic emissions of reactive nitrogen (N r ). Atmospheric ammonia (NH 3 ) and nitrogen dioxide (NO 2 ) are the most important precursors for N r compounds (including N 2 O 5 , HNO 3 , HONO and particulate NO − 3 and NH + 4 ) in the atmosphere. Understanding the changes in NH 3 and NO 2 has important implications for the regulation of anthropogenic N r emissions and is a requirement for assessing the consequence of environmental impacts. We conducted the temporal trend analysis of atmospheric NH 3 and NO 2 on a national scale since 1980 based on emission data (during 1980-2010), satellite observation (for NH 3 since 2008 and for NO 2 since 2005) and atmospheric chemistry transport modeling (during 2008-2015).Based on the emission data, during 1980-2010, significant continuous increasing trends in both NH 3 and NO x were observed in REAS (Regional Emission inventory in Asia, for NH 3 0.17 and for NO x 0.16 kg N ha −1 yr −2 ) and EDGAR (Emissions Database for Global Atmospheric Research, for NH 3 0.24 and for NO x 0.17 kg N ha −1 yr −2 ) over China. Based on the satellite data and atmospheric chemistry transport model (CTM) MOZART-4 (Model for Ozone and Related chemical Tracers, version 4), the NO 2 columns over China increased significantly from 2005 to 2011 and then decreased significantly from 2011 to 2015; the satelliteretrieved NH 3 columns from 2008 to 2014 increased at a rate of 2.37 % yr −1 . The decrease in NO 2 columns since 2011 may result from more stringent strategies taken to control NO x emissions during the 12th Five Year Plan, while no control policy has focused on NH 3 emissions. Our findings provided an overall insight into the temporal trends of both NO 2 and NH 3 since 1980 based on emission data, satellite observations and atmospheric transport modeling. These findings can provide a scientific background for policy makers that are attempting to control atmospheric pollution in China. Moreover, the multiple datasets used in this study have implications for estimating long-term N r deposition datasets to assess its impact on soil, forest, water and greenhouse balance.

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Section: Atmospheric Chemistry Transport Model No 2 and Nh 3 Columns mentioning

confidence: 94%

Section: Spatial Patternmentioning

confidence: 99%

Temporal characteristics of atmospheric ammonia and nitrogen dioxide over China based on emission data, satellite observations and atmospheric transport modeling since 1980

Liu

Zhang

et al. 2017

Atmos. Chem. Phys.

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“…The inferential model established in this study is the same as that employed in Liu et al (2017aLiu et al ( , 2017bLiu et al ( , 2017cLiu et al ( , 2017d, and Zhang et al (2017). More detailed methodological information is provided in Section S2 of the supplementary material.…”

Section: Methodsmentioning

confidence: 99%

Spatial and seasonal patterns of atmospheric nitrogen deposition in North China

Wang

Zhang

Liu

et al. 2019

Atmospheric and Oceanic Science Letters

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As one of the regions with intensive agriculture and rapid economic development in China, North China also has a high nitrogen (N) deposition. This study characterized the spatial pattern of N deposition in North China, combining the tropospheric columns from satellite measurements and the simulated profiles from an atmospheric chemistry transport model. The total N deposition fluxes ranged from 16.3 to 106.5 kg N ha −1 yr −1 , with an average of 54.5 ± 17.2 kg N ha −1 yr −1. The high values were concentrated in urban and farmland areas, while low values were found in forests and grasslands with less human activities. Of the total N deposition, 36% was deposited via precipitation, 12% was deposited through dry particulate deposition, and the remaining 52% was comprised of dry gaseous deposition. For the seasonal variation of dry deposition, gaseous HNO 3 and particulate NO 3 − were higher in winter and autumn, but lower in spring and summer. In contrast, gaseous NH 3 and particulate NH 4 + were higher in spring and summer, but lower in winter and autumn. This is possibly caused by the seasonal differences in emission intensity between NO x and NH 3 emission sources. The gaseous NO 2 deposition did not show strong seasonal variation. The wet deposition was mainly affected by precipitation, with high values in summer and low values in winter. This research provides an objective spatial perspective and insight into the total N deposition in North China.

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“…In recent years, some scholars have carried out the works of estimating surface NH 3 concentration based on satellite NH 3 column. Liu et al (Liu et al, 2017b)…”

Section: Satellite-based Estimation Of Surface N R Concentration and mentioning

confidence: 99%

“…Another approach tries to fit general vertical profiles of NO 2 and NH 3 (Zhang et al, 2017;Liu et al, 2017b;Liu et al, 2017c), and then estimate the ratio of N r concentration at any height to total N r columns, and finally multiply the ratio by satellite NO 2 and NH 3 columns. This approach has an advantage compared with the previous one for that NO 2 and NH 3 concentration at all altitude included in ACTM simulations can be estimated.…”

Section: Conversion Of Satellite No 2 and Nh 3 Column To Surface N R mentioning

confidence: 99%

Reviewing Global Estimates of Surface Reactive Nitrogen Concentration and Deposition Using Satellite Observation

Liu¹,

Zhang²,

Xu³

et al. 2020

Preprint

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Abstract. Since the industrial revolution, human activities have dramatically changed the nitrogen (N) cycle in natural systems. Anthropogenic emissions of reactive nitrogen (Nr) can return to the earth's surface through atmospheric Nr deposition. Increased Nr deposition may improve ecosystem productivity. However, excessive Nr deposition can cause a series of negative effects on ecosystem health, biodiversity, soil, and water. Thus, accurate estimations of Nr deposition are necessary for evaluating its environmental impacts. The United States, Canada and Europe have successively launched a number of satellites with sensors that allow retrieval of atmospheric NO2 and NH3 column density, and therefore estimation of surface Nr concentration and deposition at an unprecedented spatiotemporal scale. Atmosphere NH3 column can be retrieved from atmospheric infra-red emission measured by IASI, AIRS, CrIS or TES, while atmospheric NO2 column can be retrieved from reflected solar radiation measured by GOME, GOME-2, SCIAMACHY, OMI, TEMPO, Sentinel and GEMS. In recent years, scientists attempted to estimate surface Nr concentration and deposition using satellite retrieval of atmospheric NO2 and NH3 columns. In this study, we give a thorough review on recent advances of estimating surface Nr concentration and deposition using the satellite retrievals of NO2 and NH3, present a framework of using satellite data to estimate surface Nr concentration and deposition based on recent works, and summarize the existing challenges for estimating surface Nr concentration and deposition using the satellite-based methods. We believe that exploiting satellite data to estimate Nr deposition has a broad and promising prospect.

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Ground Ammonia Concentrations over China Derived from Satellite and Atmospheric Transport Modeling

Cited by 34 publications

References 46 publications

Temporal characteristics of atmospheric ammonia and nitrogen dioxide over China based on emission data, satellite observations and atmospheric transport modeling since 1980

Temporal characteristics of atmospheric ammonia and nitrogen dioxide over China based on emission data, satellite observations and atmospheric transport modeling since 1980

Spatial and seasonal patterns of atmospheric nitrogen deposition in North China

Reviewing Global Estimates of Surface Reactive Nitrogen Concentration and Deposition Using Satellite Observation

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