| 城市近地层风特征与污染系数分析 |
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| 引用本文： | 徐永清,张弛,王庆祥,等.城市近地层风特征与污染系数分析[J].气象与环境科学,2014,37(3):55-59. |
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| 作者姓名： | 徐永清 张弛 王庆祥 等 |
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| 作者单位： | 1. 黑龙江省气候中心,哈尔滨,150030
2. 上海市环境科学研究院,上海,200233 |
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| 基金项目： | 中国气象局气候变化专项，黑龙江省气象局科学技术研究项目 |
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| 摘 要： | 使用黑龙江省风能资源专业观测网依兰测风塔2010年5月-2011年4月期间10、50、70、100m四层测风数据，对依兰风特征进行分析。结果表明：测风塔各高度风速具有一致的日变化规律，均是白天大，夜间小。随高度升高，风速变化趋势减弱，100m高度与下层显现出不同的变化特征，具有高空风速的日变化特征。垂直气流速度各时刻平均值均为正值，日变化规律与水平风速基本一致，也是白天较大，夜间较小。风廓线指数n值夜间较大，且稳定，均在0．25左右，08时后，随着温度升高，上下层空气能量交换增大，a值迅速减小，12—14时最小，仅为0．11，之后又迅速增大。各高度主导风向一致，随高度增大，主导风向频率升高。各高度污染系数最大值对应的风向一致，随高度增加，污染系数较小的风向区间增加，有利于大气污染物的扩散。因此增加排放高度，可以有效减少城市近地面的大气污染物浓度。
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| 关 键 词： | 风特征 风廓线指数 湍流强度 主导风向 污染系数 |
Analysis of Surface Layer Wind Characteristics and Atmosphere Pollution Coefficient |
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| Xu Yongqing,Zhang Chi,Wang Qingxiang,et al.Analysis of Surface Layer Wind Characteristics and Atmosphere Pollution Coefficient[J].Meteorological and Environmental Sciences,2014,37(3):55-59. |
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| Authors: | Xu Yongqing Zhang Chi Wang Qingxiang |
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| Institution: | Xu Yongqing , Zhang Chi Wang , Qingxiang , Qi Dongfang (1. Heilongjiang Provincial Climate Center, Haerbin 150030, China; 2. Shanghai Academy of Environmental Sciences, Shanghai 200233, China) |
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| Abstract: | Using the four layers wind data at the 10, 50, 70 and 100 m in Yilan from 2010 May to 2011 April wind energy resources in Heilongjiang province professional observation network, the Yilan wind characteristics were analyzed. Results showed that, the daily change of wind speed at each height were constant, bigger in day and smaller during night. With the increase of height, the wind speed varia- tion tendency was weakening. The 100 m height wind had diurnal characteristics different from other height. The mean values of vertical velocity were all positive which diurnal characteristics were constant with horizontal velocity that bigger in day and smaller during night. Wind profile index a was steady and bigger during night than in day which was 0.25 in night, while a value during 12--14 o＇clock was 0.11 as the increase of the temperature after 8 a. m. , then was increasing. The predominant wind direction of each layer were the same which frequency was increasing as the height rising. The biggest pollution coef- ficient was corresponding to its wind directions at each layers, and the wind direction intervals of smaller pollution coefficient increased as height rising which was benefit to pollutant diffusion. It was an effective way to reduce pollutant concentration of surface layer in city by increasing the emission height of pollu- tants. |
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| Keywords: | wind characteristic wind profilepollution coefficientindex turbulence intensity predominant wind direc- |
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