4 results on '"Liu, Xuejun"'
Search Results
2. Winter air quality improvement in Beijing by clean air actions from 2014 to 2018
- Author
-
Wen, Zhang, Wang, Chenjing, Li, Qi, Xu, Wen, Lu, Li, Li, Xiujuan, Tang, Aohan, Collett, Jeffrey Lee, Jr, and Liu, Xuejun
- Published
- 2021
- Full Text
- View/download PDF
3. Enhanced atmospheric nitrogen deposition at a rural site in northwest China from 2011 to 2018.
- Author
-
Fu, Yandan, Xu, Wen, Wen, Zhang, Han, Mengjuan, Sun, Jianhao, Tang, Aohan, and Liu, Xuejun
- Subjects
- *
ATMOSPHERIC nitrogen , *ATMOSPHERIC deposition , *AIR pollution , *AIR pollutants , *AIR quality - Abstract
Few related studies have been carried out for northwest China's the inland, although the increasing inorganic reactive nitrogen (Nr) deposition and severe air pollution in China have attracted considerable attention. Based on eight-year measurements of the concentrations of NH 3 , HNO 3 , particulate (p) NH 4 +, pNO 3 −, and NO 2 in the air and inorganic nitrogen (NH 4 +, NO 3 −) in the precipitation at a rural site in Wuwei, Gansu Province, we quantified the dry and bulk/wet Nr deposition fluxes and analyzed their temporal trends in combination with air pollution data (2015–2018). The concentrations of the single Nr species in the air did not exhibit significant seasonal variations, except for that of pNO 3 − which were the highest in summer and the lowest in winter. The average annual total Nr (dry + bulk) deposition was 27.2 ± 6.7 kg N ha−1 with a significant (p <.05) annual increase rate of 10%, which was dominated by the dry deposition flux (20.8 ± 7.1 kg N ha−1 yr−1) during the entire period. The NH 4 +-N and NO 3 −-N deposition fluxes in the precipitation were significantly (p <.05) higher in the summer than in the other three seasons owing to the heavy rainfall. The reduced N (NH 3 , pNH 4 +, and NH 4 +) deposition flux was 4.7 times that of the oxidized N (HNO 3 , pNO 3 −, NO 2 , and NO 3 −), which increased with a high annual rate (25%). The annual mean concentrations of the main air pollutants (PM 2.5 , PM 10 , SO 2 , NO 2 , and CO) significantly decreased by 15%–76%; in contrast, increasing trends of the O 3 and NH 3 concentrations were observed. Our results highlight the importance of the control of NH 3 emissions and O 3 pollution to comprehensively mitigate N deposition and improve air quality in the considered region. • The total nitrogen deposition increased at an annual rate of 10% from 2010 to 2018. • Nitrogen deposition has become an important nitrogen source to the agroecosystem. • Air pollutants significantly decreased by 15%–76%, except for O 3 and NH 3. • NH 3 concentrations increased at an annual rate of 25% from 2010 to 2018. • Control of NH 3 emission and O 3 pollution is imperative to improve air quality. [ABSTRACT FROM AUTHOR]
- Published
- 2020
- Full Text
- View/download PDF
4. Systematic low bias of passive samplers in characterizing nitrogen isotopic composition of atmospheric ammonia.
- Author
-
Pan, Yuepeng, Gu, Mengna, Song, Linlin, Tian, Shili, Wu, Dianming, Walters, Wendell W., Yu, Xingna, Lü, Xuemei, Ni, Xue, Wang, Yanjun, Cao, Jing, Liu, Xuejun, Fang, Yunting, and Wang, Yuesi
- Subjects
- *
PASSIVE sampling devices (Environmental sampling) , *ATMOSPHERIC composition , *ISOTOPIC fractionation , *ENVIRONMENTAL sciences , *MASS transfer , *ATMOSPHERIC ammonia , *NITROGEN compounds - Abstract
Identifying the sources of increased ammonia (NH 3) in the atmosphere has important implications for air quality, ecosystems, and climate. While analysis of the nitrogen isotopic composition (δ15N) can aid in the apportionment of NH 3 emission sources, the widely-used passive collection methods have not been verified for their ability to accurately characterize δ15N-NH 3. In this study, three types of passive samplers (ALPHA, Analyst, and Radiello) were employed and collocated with a denuder based active sampler (DELTA, serves as a reference method) to compare and contrast their ability in collecting atmospheric NH 3 for subsequent concentration and δ15N-NH 3 analysis in urban Beijing during the summer of 2018. The results showed that NH 3 concentrations determined using passive collection samplers that included ALPHA (n = 11), Analyst (n = 12), and Radiello (n = 7) samplers were 13.4%, 14.4%, and 27.5% lower than that of the active sampler (n = 12), respectively. The low NH 3 concentration bias in the passive collection samplers was suggested to be the result of inaccurate effective sampling rates due to incorrect mass transfer correction factors for the environmental conditions of this study. The δ15N-NH 3 values did not show significant differences between passive samplers, with weekly means of −31.0 ± 1.0‰ (n = 4), −28.4 ± 5.5‰ (n = 4), and −29.1 ± 0.9‰ (n = 4) for the ALPHA, Analyst, and Radiello, respectively. Notably, the overall mean δ15N-NH 3 values collected by these passive samplers (−29.5 ± 3.2‰, n = 12) was significantly lower than that of the active sampler (−14.1 ± 1.6‰, n = 4), with a difference of 15.4 ± 3.5‰. The large underestimation of δ15N-NH 3 values by passive samplers can be explained by the diffusive isotope fractionation of NH 3 isotopologues, which is driven by relative mass differences of 14NH 3 and 15NH 3. Overall, these findings highlight a potential low bias in NH 3 concentrations and a substantial uncertainty in previous source interpretation using δ15N-NH 3 as previous studies have almost exclusively characterized δ15N-NH 3 using passive samplers. We suggest that the denuder-based active sampler should be used in the future for characterizing δ15N-NH 3 whether at the source or in an atmospheric environment with mixed sources. This work also has important implications for characterizing δ15N of other gaseous nitrogen compounds. Unlabelled Image • Nitrogen isotopic composition of ammonia (δ15N-NH 3) aids in source apportionment. • Conventional collection methods for δ15N-NH 3 were almost based on passive samplers. • δ15N-NH 3 obtained by passive and active samplers were respective −29.5‰ and −14.1‰. • The low bias of 15.4‰ by passive δ15N-NH 3 was due to diffusive isotope fractionation. • Source apportionment based on passive δ15N-NH 3 might mislead mitigation strategy. [ABSTRACT FROM AUTHOR]
- Published
- 2020
- Full Text
- View/download PDF
Catalog
Discovery Service for Jio Institute Digital Library
For full access to our library's resources, please sign in.