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城市化对辽宁省近地面风速的影响分析
敖雪1, 翟晴飞2, 崔妍1, 沈历都1, 周晓宇1, 赵春雨1, 朱玲1
(1.沈阳区域气候中心;2.辽宁省人工影响天气办公室)
Analysis of the influence of urbanization on near-surface wind speedin Liaoning Province
AO Xue1, ZHAI Qingfei2, CUI Yan1, SHEN LiDu1, ZHOu XiaoYu1, ZHAO Chun Yu1, ZHU Ling1
(1.Shenyang Regional Climate Center;2.Liaoning Weather Modification Office)
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投稿时间:2020-03-20    修订日期:2020-07-14
中文摘要: 利用1979—2018年辽宁省逐月风速资料和再分析资料,结合卫星遥感分类方法,并采用UMR(Urban Minus Rural)方法和OMR(Observation Minus Reanalysis)方法定量分析了城市化对辽宁省近地面风速的影响。研究表明:近40年辽宁省年和四季风速均呈减小趋势,城市站的减小速率明显快于乡村站,UMR值(城乡距平差)的变化趋势为-0.11 m×s-1×(10a) -1,城市化影响贡献率为73.3 %;空间分布上,辽宁中北部城市群减小趋势较明显,南部和东南部风速减小相对缓慢;UMR方法计算的城市化影响呈现自西向东逐渐增强的纬向分布形势。再分析资料的减小趋势与乡村站的减小趋势较接近,春季风速的减小速率最明显;OMR值的变化趋势为-0.10 m×s-1×(10a) -1,对应的城市化影响贡献率为66.7 %,利用两种方法计算得到的城市化影响和贡献率较一致,均能在一定程度上反映城市化对风速的影响。空间分布上,再分析资料显示渤海海峡风速呈微弱增加趋势,风速减小的高值区位于渤海北部和黄海北部。两种方法计算的城市化影响空间分布均呈现西部和南部受城市化影响较小,中东部受城市化影响较大,一致性较好。
中文关键词: 城市化  风速  气候变化  辽宁省
Abstract:Using monthly wind speed data from 1979 to 2018 in Liaoning Province and reanalysis data, combined with satellite remote sensing classification methods, and using UMR (Urban Minus Rural) method and OMR (Observation Minus Reanalysis) method to quantitatively analyze the urbanization of Liaoning Province"s near-surface wind speed Impact. The results show that in the past 40 years, the annual and four season wind speeds in Liaoning Province have shown a decreasing trend. The decreasing rate of urban stations is significantly faster than that of rural stations. The trend of UMR value(Urban-rural anomaly)is -0.11 m×s-1×(10a) -1.The contribution rate of urbanization impact is 73.3 %; in spatial distribution, the decreasing trend of urban agglomerations in central and northern Liaoning is more obvious, and the wind speed decreases relatively slowly in the south and southeast; the urbanization impact calculated by UMR method shows increasing zonal distribution from west to east. The decreasing trend of the reanalysis data is closer to the decreasing trend of rural stations. The decreasing rate of wind speed in spring is the most obvious. The changing trend of OMR value is -0.10 m×s-1×(10a) -1, corresponding urbanization impact contribution rate is 66.7 %. The urbanization impact and contribution rate calculated by the two methods are relatively consistent, and both can reflect the impact of urbanization on wind speed to a certain extent. Reanalysis data showed that the wind speed in the Bohai Strait showed a slight increase trend, and the high-value areas with reduced wind speed were located in the northern Bohai Sea and the northern Yellow Sea. The spatial distribution of the urbanization impact calculated by the two methods is that the western and southern regions are less affected by urbanization, and the central and eastern regions are more affected by urbanization. The consistency is better.
文章编号:202003200087     中图分类号:P467    文献标志码:
基金项目:2018年辽宁省气象局科研课题“辽宁省城市化气候效应的检测与对比研究”(BA201803)和辽宁省科学技术计划项目(2019-MZ-199)和(2019-ZD-0859)
引用文本:
敖雪,翟晴飞,崔妍,沈历都,周晓宇,赵春雨,朱玲,0.[en_title][J].Meteor Mon,():-.
AO Xue,ZHAI Qingfei,CUI Yan,SHEN LiDu,ZHOu XiaoYu,ZHAO Chun Yu,ZHU Ling,0.Analysis of the influence of urbanization on near-surface wind speedin Liaoning Province[J].Meteor Mon,():-.