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Quantification of the enhanced effectiveness of NO<sub><i>x</i></sub> control from simultaneous reductions of VOC and NH<sub>3</sub> for reducing air pollution in Beijing-Tianjin-Hebei region, China

As one common precursor for both PM<sub>2.5</sub> and O<sub>3</sub> pollution, NO<sub><i>x</i></sub> gains great attention because its controls can be beneficial for reducing both PM<sub>2.5</sub> and O<sub>3</sub>. However, the effectiveness of NO<sub><i>x</i></sub> controls for reducing PM<sub>2.5</sub> and O<sub>3</sub> are largely influenced by the ambient levels of NH<sub>3</sub> and VOC, exhibiting strong nonlinearities characterized as NH<sub>3</sub>-limited/-poor and NO<sub><i>x</i></sub>-/VOC-limited conditions, respectively. Quantification of such nonlinearities is prerequisite to making suitable policy decisions but limitations of existing methods were recognized. In this study, a new method was developed by fitting multiple simulations of a chemical transport model (i.e., Community Multi-scale Air Quality Modeling System (CMAQ)) with a set of polynomial functions (denoted as <q>pf-RSM</q>) to quantify responses of ambient PM<sub>2.5</sub> and O<sub>3</sub> concentrations to changes in precursor emissions. The accuracy of the pf-RSM is carefully examined to meet the criteria of a mean normalized error within 2&amp;thinsp;% and a maximal normalized error within 10&amp;thinsp;% by using forty training samples with marginal processing. An advantage of the pf-RSM method is that the nonlinearity in PM<sub>2.5</sub> and O<sub>3</sub> responses to precursor emission changes can be characterized by quantitative indicators, including (1) peak ratio (denoted as PR) representing VOC-limited or NO<sub><i>x</i></sub>-limited condition, (2) suggested reduction ratio of VOC to NO<sub><i>x</i></sub> (denoted as VNr) to avoid increasing O<sub>3</sub> under VOC-limited condition, (3) flex ratio (denoted as FR) representing NH<sub>3</sub>-poor or NH<sub>3</sub>-rich condition, and (4) enhanced benefits in PM<sub>2.5</sub> reductions from simultaneous reduction of NH<sub>3</sub> with the same reduction rate of NO<sub><i>x</i></sub>. A case study in Beijing-Tianjin-Hebei region suggested that most urban areas present strong VOC-limited condition with PR from 0.4 to 0.8 in July, implying that the NO<sub><i>x</i></sub> emission reduction rate need be greater than 20&amp;thinsp;%&amp;ndash;60&amp;thinsp;% to pass the transition from VOC-limited to NO<sub><i>x</i></sub>-limited. A simultaneous VOC control (VNr is about 0.5&amp;ndash;1.2) can avoid increasing O<sub>3</sub> during the transition. For PM<sub>2.5</sub>, most urban areas present strong NH<sub>3</sub>-rich condition with PR from 0.75&amp;ndash;0.95, implying the NH<sub>3</sub> is sufficiently abundant to neutralize extra nitric acid produced by an additional 5&amp;thinsp;%&amp;ndash;35&amp;thinsp;% of NO<sub><i>x</i></sub> emissions. Enhanced benefits in PM<sub>2.5</sub> reductions from simultaneous reduction of NH<sub>3</sub> were estimated to be 0.04&amp;ndash;0.15&amp;thinsp;µg&amp;thinsp;m<sup>&amp;minus;3</sup> PM<sub>2.5</sub> per 1&amp;thinsp;% reduction of NH<sub>3</sub> along with NO<sub><i>x</i></sub>, with greater benefits in July when the NH<sub>3</sub>-rich condition is not as strong as in January. Thus, simultaneously reducing NH<sub>3</sub> and VOC emission along with NO<sub><i>x</i></sub> reduction is recommended to assure the control effectiveness of PM<sub>2.5</sub> and O<sub>3</sub>.

期刊: Atmospheric Chemistry and Physics Discussions  2018
作者: Jiming Hao,Yun Zhu,Fenfen Zhang,Wenjing Wu,Carey Jang,Bin Zhao,Shuxiao Wang,Dian Ding,Jia Xing
DOI:10.5194/acp-2018-2

Pollutant emissions from residential combustion and reduction strategies estimated via a village-based emission inventory in Beijing

期刊: Environmental Pollution  2018
作者: Jiming Hao,Deshan Yang,Bin Zhao,Dian Ding,Jianmin Chen,Shuxiao Wang,Qing Li,Siyi Cai
DOI:10.1016/j.envpol.2018.03.036

Quantifying Nonlinear Multiregional Contributions to Ozone and Fine Particles Using an Updated Response Surface Modeling Technique

期刊: Environmental Science & Technology  2017
作者: Jiming Hao,Fenfen Zhang,Jiandong Wang,Xing Chang,Yun Zhu,Carey Jang,Dian Ding,Wenjing Wu,Bin Zhao,Shuxiao Wang,Jia Xing
DOI:10.1021/acs.est.7b01975

Mechanism identification of temperature influence on mercury adsorption capacity of different halides modified bio-chars

期刊: Chemical Engineering Journal  2017
作者: Boxiong Shen,Dian Ding,Fengyang Wang,Qingru Wu,Shuxiao Wang,Guoliang Li
DOI:10.1016/j.cej.2017.01.030

Particulate matter pollution over China and the effects of control policies

期刊: Science of The Total Environment  2017
作者: Jiming Hao,Jingkun Jiang,Tuukka Petäjä,Mi Tian,Huanbo Wang,Xiaoye Zhang,Dian Ding,Zifa Wang,Joni Kujansuu,Veli-Matti Kerminen,Markku Kulmala,Aijun Ding,Lidia Morawska,Jia Xing,Fumo Yang,Shuxiao Wang,Bin Zhao,Jiandong Wang
DOI:10.1016/j.scitotenv.2017.01.027

Assessment of short-term PM2.5-related mortality due to different emission sources in the Yangtze River Delta, China

期刊: Atmospheric Environment  2015
作者: Jiming Hao,Yun Zhu,Dian Ding,Joshua S. Fu,Jingkun Jiang,Carey Jang,Bin Zhao,A. Scott Voorhees,Shuxiao Wang,Jiandong Wang
DOI:10.1016/j.atmosenv.2015.05.060

Development of an integrated policy making tool for assessing air quality and human health benefits of air pollution control

期刊: Frontiers of Environmental Science & Engineering  2015
作者: Shicheng Long,Dian Ding,Jiandong Wang,Junping Xie,Joshua Fu,Shuxiao Wang,Che-Jen Lin,Carey Jang,Yun Zhu,Xuezhen Qiu
DOI:10.1007/s11783-015-0796-8

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