南京市不同功能分區(qū)風(fēng)場特征的大渦模擬研究

doi:10.12306/2022jms.0024

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南京市不同功能分區(qū)風(fēng)場特征的大渦模擬研究
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                        10.12306/2022jms.0024
                    
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中圖分類號:P404
基金項(xiàng)目:國家自然科學(xué)基金面上資助項(xiàng)目(U2342221;41975006;42075182);蘇州市科技計(jì)劃資助項(xiàng)目(SS2019033)

Large eddy simulation study of wind field characteristics in different functional zones of Nanjing City

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本文選取南京市新街口商業(yè)區(qū)和白下路居民區(qū)作為典型研究區(qū)域,利用大渦模式(Parallelized Large Eddy Simulation Model,PALM)模擬不同入流風(fēng)速和風(fēng)向?qū)α鲌龅挠绊憽＝Y(jié)果表明,不同入流風(fēng)速條件下歸一化風(fēng)廓線基本一致,風(fēng)廓線總體上主要受到功能區(qū)自身建筑物形態(tài)的影響,在中性層結(jié)下城市冠層內(nèi)平均風(fēng)速隨高度的變化接近于指數(shù)分布。而本文計(jì)算得到的指數(shù)風(fēng)廓線衰減系數(shù)的范圍為0.55~0.81,高于目前城市冠層模式中的默認(rèn)值,說明目前的城市冠層模式對建筑物密集區(qū)域的風(fēng)速衰減可能存在低估。風(fēng)速衰減系數(shù)主要受迎風(fēng)面面積的影響,隨迎風(fēng)面積指數(shù)的增加而增大。迎風(fēng)面積指數(shù)隨入流風(fēng)向發(fā)生改變,在本文研究的商業(yè)區(qū)和居民區(qū)中,行人高度風(fēng)速隨入流風(fēng)向的改變最大下降幅度可分別達(dá)8%和10%。行人高度風(fēng)速一般在與入流風(fēng)向平行的街道和開闊的空地上較大,在建筑物密集分布的區(qū)域風(fēng)速較低,由于強(qiáng)烈的狹管效應(yīng)部分區(qū)域的風(fēng)速可以超過入流風(fēng)速。不同城市結(jié)構(gòu)中入流風(fēng)向的影響也不同,在十字路口、對稱和非對稱街谷以及多排建筑物中局地風(fēng)場隨入流風(fēng)向存在各種變化。

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In this paper,Xinjiekou commercial area and Baixia Road residential area in Nanjing were selected as the research areas,and the effects of different incoming wind speeds and wind directions on the flow field were studied by using the PALM (Parallelized Large Eddy Simulation Model) model. Results show that the normalized wind profiles are similar under different inflow wind speeds,and the wind profiles are mainly influenced by the building morphology of the functional zones itself in general,and the variation of mean wind speed with height in the urban canopy is close to the exponential distribution in neutral stratification. However,the attenuation coefficient of the exponential wind profile calculated in the study ranges from 0.55 to 0.81,which is higher than the default value in the current urban canopy model,indicating that the current urban canopy model may have underestimated the wind speed attenuation in the densely built-up areas. The wind speed attenuation coefficient is mainly influenced by the frontal area,which increases with the increase of frontal area index,and the maximum decrease of wind speed at pedestrian height can reach 8% and 10% with the change of incoming wind direction in the studied commercial and residential areas,respectively. The wind speed at pedestrian height is generally larger in the streets and open spaces parallel to the incoming wind direction,and the wind speed can exceed the incoming wind speed in some areas due to the strong venturi effect,while the wind speed is lower in areas where buildings are densely distributed. The influence of the incoming wind direction varies in different urban structures,and the local wind field varies with the incoming wind direction at intersections,symmetrical and asymmetrical street canyons,and in multiple rows of buildings.

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韓敬,潘哲,周慧敏,張寧,周玉奇,陳燕.南京市不同功能分區(qū)風(fēng)場特征的大渦模擬研究.氣象科學(xué),2024,44(3):572-582 HAN Jing, PAN Zhe, ZHOU Huimin, ZHANG Ning, ZHOU Yuqi, CHEN Yan. Large eddy simulation study of wind field characteristics in different functional zones of Nanjing City. Journal of the Meteorological Sciences,2024,44(3):572-582

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收稿日期:2021-12-20
最后修改日期:2022-05-06
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在線發(fā)布日期: 2024-07-16
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