Based on the data of the wind speed from 20 m meteorological tower and PM10 mass concentration in Zhurihe region from January of 2005 to April of 2006,the evolution characteristics of wind speed profile in near surfac...Based on the data of the wind speed from 20 m meteorological tower and PM10 mass concentration in Zhurihe region from January of 2005 to April of 2006,the evolution characteristics of wind speed profile in near surface layer and PM10 in three representative dust weather processes (dust storm,blowing sand and floating dust) were analyzed.The results showed that wind speed was higher during dust storm and blowing sand with remarkable vertical gradient.The speed in floating dust was relatively lower and increased during the whole process.In general,wind speed after dust weather was smaller with respect to that before the event.The average mass concentrations of PM10 in the processes of dust storm,blowing sand and floating dust were in the ranges of 5 436.38-10 000,1 799.49-4 006.06 and 1 765.53 μg/m3,respectively.展开更多
使用“递减平均法”和渤海28个石油、平台、浮标站资料分析得到的渤海10m风速逐时格点场,对ROAD模式(Regional Ocean and Atmosphere Model)渤海区域10m风速预报进行误差订正,不同权重系数试验表明:对于渤海10m风速预报场,权重系数取0....使用“递减平均法”和渤海28个石油、平台、浮标站资料分析得到的渤海10m风速逐时格点场,对ROAD模式(Regional Ocean and Atmosphere Model)渤海区域10m风速预报进行误差订正,不同权重系数试验表明:对于渤海10m风速预报场,权重系数取0.18,订正效果最佳,12~72h预报时效内,月逐时均方根误差和平均偏差均有明显改善,分别减小1.0~1.5m/s和2.3~3.0m/s;对比渤海北部、西部和中部代表格点72h预报时效内,逐12h最大风速评分结果发现:60h预报时效内,当风速预报在5~6级时,渤海北部、中部和西部订正后的预报评分大多有所提高;当风速预报在7级时,渤海北部和中部分别在36~72h和24~48h,预报评分有提高;在实况出现最多的风力分布范围内评分提高最多。展开更多
According to the Ministry of Natural Resources and Environment, Hanoi city is currently facing the increased air pollution, especially particulate matter. This study examines the influence of meteorological factors in...According to the Ministry of Natural Resources and Environment, Hanoi city is currently facing the increased air pollution, especially particulate matter. This study examines the influence of meteorological factors including temperature, humidity and wind speed on PM10 concentration in Hanoi. The data used in this study include 24-h PM10 concentration data, hourly temperature, humidity and wind speed data in 2018 at three automatic air monitoring stations under Vietnam Environment Administration and Hanoi Natural Resources and Environment Department. The SPSS statistical analysis tools are utilized to analyze the correlation between PM10 concentration and meteorological factors through the Spearman (r) correlation coefficient. Additionally, the Independent-Sample T-Test is also employed to assess the difference in PM10 concentration in the period between dry season (from October to March) and wet season (from May to September). The results show that there is a trend of seasonal variation of PM10 concentration. Specifically, PM10 concentration recorded a higher value in winter and lower in summer. Different correlations between air pollutants and meteorological factors were also observed. PM10 concentration was inversely correlated (r 10 concentration during dry and wetseason. This outcome has confirmed the important role of meteorological factors in the formation of air pollution with large variations in different seasons and geological areas.展开更多
基于台站观测资料,评估了欧洲中期天气预报中心(ECMWF)最高时空分辨率的第五代大气再分析资料(ERA5)对1979~2018年间中国大陆区域10 m高度风速的气候特征及其变化趋势的再现能力,并同步对比分析了ERA5资料100 m高度风速的特征和长期趋...基于台站观测资料,评估了欧洲中期天气预报中心(ECMWF)最高时空分辨率的第五代大气再分析资料(ERA5)对1979~2018年间中国大陆区域10 m高度风速的气候特征及其变化趋势的再现能力,并同步对比分析了ERA5资料100 m高度风速的特征和长期趋势。结果表明,ERA5资料10 m和100 m风速在空间分布、年—季节—月尺度演变的气候特征方面与台站观测非常一致,10 m风速气候态空间相关系数达到0.66。观测和再分析资料均显示,中国近地层风速呈现出显著的区域性特征,风速大值区主要分布在内蒙古、东北地区西部、新疆北部以及青藏高原西部地区,上述区域的风速季节差异也相对明显,春季风速最大。台站观测、ERA5资料10 m和100 m全国平均风速在4月达到最大值,分别为2.6、3.0、4.5 m s^(-1),8月为最小值,分别为2.0、2.4、3.5 m s^(-1)。从月平均序列来看,ERA5资料的10 m风速较台站观测偏高0.3~0.5 m s^(-1),而100 m的风速较10 m风速整体偏高1.2~1.4 m s^(-1)。在风速变化方面,台站观测风速在中国陆地区域整体呈下降趋势–0.4 m s^(-1)(39 a)–1,春季下降趋势最显著[–0.5 m s^(-1)(39 a)–1],且1979~1992年冬季风速降幅最大[–0.7 m s^(-1)(14 a)–1],2013年以后风速逐渐增强。ERA5资料两个高度层的风速在整个中国区域均没有明显的长期变化趋势,4个季节风速变化趋势的空间分布与观测也存在差异,100m风速的长期变化趋势与10 m一致但变化幅度大于10 m风速。总之,ERA5资料对中国大陆区域气候平均风速具有较好的再现能力,但无法呈现台站观测风速的长期变化趋势。展开更多
基金Supported by the Scientific Project of Jiangsu Environmental Protection(2009008)The Preliminary Research Projects of Jiangsu "Shier Wu" Environmental Protection Planning
文摘Based on the data of the wind speed from 20 m meteorological tower and PM10 mass concentration in Zhurihe region from January of 2005 to April of 2006,the evolution characteristics of wind speed profile in near surface layer and PM10 in three representative dust weather processes (dust storm,blowing sand and floating dust) were analyzed.The results showed that wind speed was higher during dust storm and blowing sand with remarkable vertical gradient.The speed in floating dust was relatively lower and increased during the whole process.In general,wind speed after dust weather was smaller with respect to that before the event.The average mass concentrations of PM10 in the processes of dust storm,blowing sand and floating dust were in the ranges of 5 436.38-10 000,1 799.49-4 006.06 and 1 765.53 μg/m3,respectively.
文摘使用“递减平均法”和渤海28个石油、平台、浮标站资料分析得到的渤海10m风速逐时格点场,对ROAD模式(Regional Ocean and Atmosphere Model)渤海区域10m风速预报进行误差订正,不同权重系数试验表明:对于渤海10m风速预报场,权重系数取0.18,订正效果最佳,12~72h预报时效内,月逐时均方根误差和平均偏差均有明显改善,分别减小1.0~1.5m/s和2.3~3.0m/s;对比渤海北部、西部和中部代表格点72h预报时效内,逐12h最大风速评分结果发现:60h预报时效内,当风速预报在5~6级时,渤海北部、中部和西部订正后的预报评分大多有所提高;当风速预报在7级时,渤海北部和中部分别在36~72h和24~48h,预报评分有提高;在实况出现最多的风力分布范围内评分提高最多。
文摘According to the Ministry of Natural Resources and Environment, Hanoi city is currently facing the increased air pollution, especially particulate matter. This study examines the influence of meteorological factors including temperature, humidity and wind speed on PM10 concentration in Hanoi. The data used in this study include 24-h PM10 concentration data, hourly temperature, humidity and wind speed data in 2018 at three automatic air monitoring stations under Vietnam Environment Administration and Hanoi Natural Resources and Environment Department. The SPSS statistical analysis tools are utilized to analyze the correlation between PM10 concentration and meteorological factors through the Spearman (r) correlation coefficient. Additionally, the Independent-Sample T-Test is also employed to assess the difference in PM10 concentration in the period between dry season (from October to March) and wet season (from May to September). The results show that there is a trend of seasonal variation of PM10 concentration. Specifically, PM10 concentration recorded a higher value in winter and lower in summer. Different correlations between air pollutants and meteorological factors were also observed. PM10 concentration was inversely correlated (r 10 concentration during dry and wetseason. This outcome has confirmed the important role of meteorological factors in the formation of air pollution with large variations in different seasons and geological areas.
文摘基于台站观测资料,评估了欧洲中期天气预报中心(ECMWF)最高时空分辨率的第五代大气再分析资料(ERA5)对1979~2018年间中国大陆区域10 m高度风速的气候特征及其变化趋势的再现能力,并同步对比分析了ERA5资料100 m高度风速的特征和长期趋势。结果表明,ERA5资料10 m和100 m风速在空间分布、年—季节—月尺度演变的气候特征方面与台站观测非常一致,10 m风速气候态空间相关系数达到0.66。观测和再分析资料均显示,中国近地层风速呈现出显著的区域性特征,风速大值区主要分布在内蒙古、东北地区西部、新疆北部以及青藏高原西部地区,上述区域的风速季节差异也相对明显,春季风速最大。台站观测、ERA5资料10 m和100 m全国平均风速在4月达到最大值,分别为2.6、3.0、4.5 m s^(-1),8月为最小值,分别为2.0、2.4、3.5 m s^(-1)。从月平均序列来看,ERA5资料的10 m风速较台站观测偏高0.3~0.5 m s^(-1),而100 m的风速较10 m风速整体偏高1.2~1.4 m s^(-1)。在风速变化方面,台站观测风速在中国陆地区域整体呈下降趋势–0.4 m s^(-1)(39 a)–1,春季下降趋势最显著[–0.5 m s^(-1)(39 a)–1],且1979~1992年冬季风速降幅最大[–0.7 m s^(-1)(14 a)–1],2013年以后风速逐渐增强。ERA5资料两个高度层的风速在整个中国区域均没有明显的长期变化趋势,4个季节风速变化趋势的空间分布与观测也存在差异,100m风速的长期变化趋势与10 m一致但变化幅度大于10 m风速。总之,ERA5资料对中国大陆区域气候平均风速具有较好的再现能力,但无法呈现台站观测风速的长期变化趋势。
