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您的检索式：作者名="Pulong CHEN"
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| 1 | Influence of Atmospheric Particulate Matter on Ozone in Nanjing,China:Observational Study and Mechanistic Analysis显示文摘Particulate matter with diameters of 2.5 μm or smaller(PM_(2.5)) and ozone(O_3) are major pollutants in the urban atmosphere. PM_(2.5) can affect O_3 by altering the photolysis rate and heterogeneous reactions. However, these two processes and their relative importance remain uncertain. In this paper, with Nanjing in China as the target city, we investigate the characteristics and mechanism of interactions between particles and O_3 based on ground observations and numerical modeling.In 2008, the average concentrations of PM_(2.5) and O_3 at Caochangmen station are 64.6 ± 47.4 μg m^(-3) and 24.6 ± 22.8 ppb,respectively, while at Pukou station they are 94.1 ± 63.4 μg m^(-3) and 16.9 ± 14.9 ppb. The correlation coefficient between PM_(2.5) and O_3 is -0.46. In order to understand the reaction between PM_(2.5) and O_3, we construct a box model, in which an aerosol optical property model, ultraviolet radiation model, gas phase chemistry model, and heterogeneous chemistry model,are coupled. The model is employed to investigate the relative contribution of the aforementioned two processes, which vary under different particle concentrations, scattering capability and VOCs/NOxratios(VOCs: volatile organic compounds;NOx: nitric oxide and nitrogen dioxide). Generally, photolysis rate effect can cause a greater O_3 reduction when the particle concentrations are higher, while heterogeneous reactions dominate O_3 reduction with low-level particle concentrations.Moreover, in typical VOC-sensitive regions, O_3 can even be increased by heterogeneous reactions. In Nanjing, both processes lead to O_3 reduction, and photolysis rate effect is dominant. Our study underscores the importance of photolysis rate effect and heterogeneous reactions for O_3, and such interaction processes should be fully considered in future atmospheric chemistry modeling. | Yawei QU Tijian WANG Yanfeng CAI Shekou WANG Pulong CHEN Shu LI Mengmeng LI Cheng YUAN Jing WANG Shaocai XU | 2018 | Advances in Atmospheric Sciences2018，35，11： | 33 |
| 2 | Simulation of Non-Homogeneous CO2 and Its Impact on Regional Temperature in East Asia显示文摘Carbon dioxide(CO_2) is an important greenhouse gas that influences regional climate through disturbing the earth's energy balance. The CO_2 concentrations are usually prescribed homogenously in most climate models and the spatiotemporal variations of CO_2 are neglected. To address this issue,a regional climate model(RegCM4) is modified to investigate the non-homogeneous distribution of CO_2 and its effects on regional longwave radiation flux and temperature in East Asia. One-year simulation is performed with prescribed surface CO_2 fluxes that include fossil fuel emission, biomass burning, air-sea exchange, and terrestrial biosphere flux. Two numerical experiments(one using constant prescribed CO_2 concentrations in the radiation scheme and the other using the simulated CO_2 concentrations that are spatially non-homogeneous) are conducted to assess the impact of non-homogeneous CO_2 on the regional longwave radiation flux and temperature. Comparison of CO_2 concentrations from the model with the observations from the GLOBALVIEW-CO_2 network suggests that the model can well capture the spatiotemporal patterns of CO_2 concentrations. Generally, high CO_2 mixing ratios appear in the heavily industrialized eastern China in cold seasons, which probably relates to intensive human activities. The accommodation of non-homogeneous CO_2 concentrations in the radiative transfer scheme leads to an annual mean change of -0.12 W m^(-2) in total sky surface upward longwave flux in East Asia. The experiment with non-homogeneous CO_2 tends to yield a warmer lower troposphere.Surface temperature exhibits a maximum difference in summertime, ranging from -4.18 K to 3.88 K, when compared to its homogeneous counterpart. Our results indicate that the spatial and temporal distributions of CO_2 have a considerable impact on regional longwave radiation flux and temperature, and should be taken into account in future climate modeling. | Xiaodong XIE Xiaoxian HUANG Tijian WANG Mengmeng LI Shu LI Pulong CHEN | 2018 | Journal of Meteorological Research2018，32，3： | 2 |
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