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机构地区:[1]西安交通大学人居环境与建筑工程学院,西安710054 [2]中国科学院气溶胶化学与物理重点实验室,西安710061 [3]中国科学院地球环境研究所黄土与第四纪地质国家重点实验室,西安710061
出 处:《地球环境学报》2017年第6期524-540,共17页Journal of Earth Environment
基 金:国家自然科学基金项目(41275101;41275153;41430424);中央高校基本科研业务费专项资金(2013jdhz25;zdyf2017001)~~
摘 要:本文应用WRF-CHEM模式模拟分析了2016年6月西安市大气污染过程。模式准确地模拟了西安地区大气臭氧(O_3)、细颗粒物(PM_(2.5))以及二氧化氮(NO_2)的时空变化趋势,较好地再现了天气形势以及大气污染的演变过程。根据近年来西安市交通排放量的增加制定敏感性试验,结果表明:西安市20%交通排放量在研究时段内平均PM_(2.5)质量浓度贡献量为4.5μg?m^(-3),模拟时段内O_3平均贡献量为4.8μg?m^(-3),西安市20%交通排放量在研究时段内的平均NO_2贡献量为2.7μg?m^(-3),而且污染物浓度越高,交通源排放量的影响越显著。Background, aim, and scope Rapid growth of industrialization, urbanization, and transportation has caused persistent and severe air pollution in China. Ozone (O3) and fne particulate matter (PM2.5) are considered to be the major air pollutants of concern during summertime. Air pollution signifcantly afects the regional and global climate and exerts deleterious impacts on ecosystems and human health. Xi’an, located in the Guanzhong Basin, is the largest city in northwestern China. The basin is nestled between the Qinling in the south and the Loess Plateau in the north with a warm-humid climate. The unique topography is not favorable for the dispersion of pollutants. In addition, the rapid growth of industrialization, city expansion and transportation has caused frequent air pollution in Xi’an city in recent years. The purpose of the present study is to quantitatively investigate the contribution of transportation emission to the summertime (June 2016) air quality in Xi’an city using the WRF-CHEM model. Materials and methods A specific version of WRF-CHEM model is used in this study, with a new flexible gas-phase chemical module and the CMAQ aerosol module developed by the US EPA. The wet deposition follows the method used in the CMAQ and the surface deposition of chemical species is also parameterized. The photolysis rates are calculated using the FTUV, in which the efects of aerosols and clouds on photolysis are considered. The inorganic aerosols are predicted in the WRF-CHEM model using ISOPROPIA Version 1.7. The secondary organic aerosol (SOA) formation is calculated using a non-traditional SOA module. The NCEP 1°×1° reanalysis data is used to obtain the meteorological initial and boundary conditions. The chemical initial and boundary conditions are interpolated from the 6 h output of MOZART. The anthropogenic emissions are developed by Zhang et al (2009). The biogenic emissions are calculated online using the MEGAN (model of emissions of gases and aerosol from nature) model. Re
分 类 号:X51[环境科学与工程—环境工程]
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