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利用HYSPLIT_4模式分析珠海地面SO_2浓度的变化规律 被引量:49
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作者 黄健 颜鹏 ROLAND R Draxler 《热带气象学报》 CSCD 北大核心 2002年第4期407-414,共8页
利用HYSPLIT_4传输、扩散模式,模拟大尺度气象场下的1999年10月~2000年1月珠海地面SO2浓度变化规律,结果与实测资料对比表明,模式较好地模拟出珠海地面SO2的浓度水平和变化趋势。模拟结果经过分析还表明,珠海地面SO2浓度受到广东省其... 利用HYSPLIT_4传输、扩散模式,模拟大尺度气象场下的1999年10月~2000年1月珠海地面SO2浓度变化规律,结果与实测资料对比表明,模式较好地模拟出珠海地面SO2的浓度水平和变化趋势。模拟结果经过分析还表明,珠海地面SO2浓度受到广东省其它地区尤其是珠江三角洲地区城市污染源排放的影响;其浓度变化与广州900 m高度(或965 hPa等压面)水平风场具有相当好的对应关系。 展开更多
关键词 珠海 HYSPLIT_4模式 污染源 变化规律 二氧化硫
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北京地区SO_2污染的长期模拟及不同类型排放源影响的计算与评估 被引量:18
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作者 颜鹏 黄健 R.Draxler 《中国科学(D辑)》 CSCD 北大核心 2005年第A01期167-176,共10页
采用分行业、分季节、高分辨的北京市SO2排放源清单,和NCEP气象分析场资料,用HYSPLIT-4(HybridSingleParticleLagrangianIntegratedTrajectory)污染扩散模式,计算了北京2000年和2001年地面SO2逐日变化,分析了北京当地及周边地区不同类... 采用分行业、分季节、高分辨的北京市SO2排放源清单,和NCEP气象分析场资料,用HYSPLIT-4(HybridSingleParticleLagrangianIntegratedTrajectory)污染扩散模式,计算了北京2000年和2001年地面SO2逐日变化,分析了北京当地及周边地区不同类型排放源对北京地面SO2的影响.与实测值对比表明,模式能够较好的模拟出北京地面SO2的逐日变化特点和季节分布.计算的各种排放源对北京的影响说明,总体上,北京当地排放影响较大,周边源影响大约占20%左右,但在一定天气条件下,周边源贡献仍可超过30%以上,甚至个别时候超过40%;如果考虑周边源的采暖期源强增大一倍,则采暖期周边源平均贡献2000年和2001年分别增加到35%和40%.对北京市划分的7类排放源分别计算其对北京地面SO2的浓度贡献率发现,在北京市区的各类排放源中,占北京市区排放量较少部分(不到三分之一)的工业面源和锅炉面源对北京市区的SO2贡献很大,是北京市SO2污染治理的关键. 展开更多
关键词 北京地面SO2 周边及当地不同类型排放源 污染治理
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The long-term simulation of surface SO_2 and evaluation of contributions from the different emission sources to Beijing city 被引量:6
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作者 Roland Draxler 《Science China Earth Sciences》 SCIE EI CAS 2005年第z2期196-208,共13页
With a high-resolution SO2 emission inventory categorized by industries and seasons for Beijing city and gridded meteorological data fields from NCEP, the pollution dispersion model, HYSPLIT4 (Hybrid Single Particulat... With a high-resolution SO2 emission inventory categorized by industries and seasons for Beijing city and gridded meteorological data fields from NCEP, the pollution dispersion model, HYSPLIT4 (Hybrid Single Particulate Lagrangian Integrated Trajectory, version 4), is used to determine the day-to-day variation of surface SO2 in Beijing for 2000 and 2001. Furthermore,the contributions of different emission sources in and around Beijing to the surface SO2 are studied. As shown in comparison with observations, the model does well in simulating the daily variation and seasonal distribution. The model computation of the annual source contributions to Beijing surface SO2 indicates that local emissions from the city give the largest contribution and the sources from the surrounding regions contribute only about 20%. During SO2 polluted or unpolluted days, the contribution from the latter can exceed 30%, and depending upon weather conditions, the contribution may exceed 40%. If the emissions from the surrounding sources during the winter heating season are assumed to be doubled in intensity, their contribution to surface SO2 in Beijing increased from 21% to 35% and 25% to 40% in 2000 and 2001, respectively. Evaluation of 7 types of emission sources identified for Beijing for their relative contribution to the concentration of surface SO2 has shown that area emissions by industrial production and furnaces, though discharging relatively small amounts (less than 1/3 of the total), have the largest contribution to the urban surface SO2, which is the key to the mitigation of the pollutant in the city. 展开更多
关键词 SURFACE SO2 in Beijing CONTRIBUTIONS of DIFFERENT types of emission MITIGATION of pollution.
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