土地扩张对城市边界层风热环境影响的模拟研究--以沈阳市为例

doi:10.3969/j.issn.1673-503X.2018.06.007

气象与环境学报 ›› 2018, Vol. 34 ›› Issue (6): 64-74.doi: 10.3969/j.issn.1673-503X.2018.06.007

土地扩张对城市边界层风热环境影响的模拟研究--以沈阳市为例

沈历都¹, 龚强¹, 徐红¹, 王涛¹, 顾正强¹, 马雁军²

1. 沈阳区域气候中心, 辽宁沈阳 110166;
2. 中国气象局沈阳大气环境研究所, 辽宁沈阳 110166

收稿日期:2018-07-10 修回日期:2018-11-07 出版日期:2018-12-31 发布日期:2018-12-31
通讯作者: 马雁军,E-mail:myj@sina.com。 E-mail:myj@sina.com
作者简介:沈历都,男,1986年生,工程师,主要从事大气边界层物理方面研究,E-mail:Shenlidu@hotmail.com。
基金资助:
辽宁省气象局博士科研专项“城市布局影响城市风热环境的数值模拟研究”（D201701）和国家自然科学基金重点项目（41730647）共同资助。

A numerical simulation study on the effects of urban expansion on the wind and thermal environment in boundary layer:a case study of Shenyang

SHEN Li-du¹, GONG Qiang¹, XU Hong¹, WANG Tao¹, GU Zheng-qiang¹, MA Yan-jun²

1. Shenyang Regional Climate Center of Liaoning, Shenyang 110166, China;
2. Institute of Atmospheric Environment, CMA, Shenyang 110166, China

Received:2018-07-10 Revised:2018-11-07 Online:2018-12-31 Published:2018-12-31

摘要/Abstract

摘要： 利用WRF模式中的UCM+AH城市冠层方案，以2005年8月两个晴天为天气背景，对比研究了1993年与2005年不同下垫面情况下，沈阳市城市扩张对近地层风热环境及边界层的影响。结果表明：UCM+AH方案能够较合理准确地模拟出城市范围的2 m气温与10 m风速的日变化特征，且对2 m气温的模拟效果要优于10 m风速；模拟2 m气温的日较差偏大，模拟10 m风速系统性偏高0.5-1.0 m·s^-1；城市土地扩张后，城区普遍增温，且夜间增温幅度较大，扩建城区夜间最大增温能达到7 ℃，老城区在夜间增温幅度最大可达3 ℃，上风向增温幅度较大；城区日间增温不明显，在0-1 ℃；城市土地扩张后，老城区风速普遍减小，但减小值<1 m·s^-1；扩建城区风速减小近1 m·s^-1，城区内可能出现的高温辐合中心对周围近地层风速有加速作用；城市扩张对边界层最显著的影响体现在午后，城区的扩张增大了湍流动能的影响范围，湍流动能在数值上增加0.2-0.3 m²·s^-2；扩建城区上空的边界层高度在14时抬升100-200 m，且下风向边界层内部的局地环流与垂直上升运动增强。

关键词: 城市扩张, 城市冠层模型, 土地利用类型, WRF模式

Abstract: Based on the land use data in 1993 and 2005,the effects of urban expansion on the near-surface wind and thermal environment and boundary layer were investigated using the UCM+AH scheme in the WRF model under the conditions of two clear days in August 2005.The results show that UCM+AH scheme is able to properly and accurately simulate the diurnal variations of 2 m temperature and 10 m wind speed,and the accuracy of simulated 2 m temperature is better than that of 10 m wind speed.The scheme overestimates the diurnal range of the simulated 2m temperature and the wind speed systematically by 0.5-1.0 m·s^-1.Urban expansion can lead to a general warming in the urban area especially in nighttime.The maximal increasing amplitudes of 7 ℃ and 3 ℃ at nighttime are distributed in the expanded and old urban area,respectively.The increasing amplitude is larger in the upwind direction than in other directions.The warming with a range between 0-1 ℃ at daytime is not obvious in the urban area.In addition,after urban expansion,the wind speed decreases generally with a magnitude smaller than 1.0 m·s^-1 in the old urban area and close to 1.0 m·s^-1 in the expanded urban area.At the same time,a high-temperature convergent zone in the urban area accelerating the near ground wind speed in the surrounding areas is probably caused by urban expansion.Besides,the urban expansion affects significantly the boundary layer in the afternoon and results in Turbulent Kinematic Energy with an increase of 0.2-0.3 m²·s^-2 expanding its range of influence.Moreover,the boundary layer height is risen up by 100-200 m at 14:00 and the local thermal circulation and vertical upward motion are strengthened over the expanded area.

Key words: Urban expansion, Urban canopy model, Land use category, WRF model

中图分类号:

P456.7

沈历都, 龚强, 徐红, 王涛, 顾正强, 马雁军. 土地扩张对城市边界层风热环境影响的模拟研究--以沈阳市为例[J]. 气象与环境学报, 2018, 34(6): 64-74.

SHEN Li-du, GONG Qiang, XU Hong, WANG Tao, GU Zheng-qiang, MA Yan-jun. A numerical simulation study on the effects of urban expansion on the wind and thermal environment in boundary layer:a case study of Shenyang[J]. Journal of Meteorology and Environment, 2018, 34(6): 64-74.

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参考文献

[1] Oke T R.Boundary layer climates(2nd ed)[M].London:Routledge,1987:435.
[2] Masson V.A physically-based scheme for the urban energy budget in atmospheric models[J].Boundary-Layer Meteorology,2000,94(3):357-397.
[3] Kusaka H,Kondo H,Kikegawa Y,et al.A simple single-layer urban canopy model for atmospheric models:Comparison with multi-layer and slab models[J].Boundary-Layer Meteorology,2001,101(3):329-358.
[4] Kusaka H,Kimura F.Coupling a single-layer urban canopy model with a simple atmospheric model:Impact on urban heat island simulation for an idealized case[J].Journal of the Meteorological Society of Japan,2004,82(1):67-80.
[5] Kanda M,Kawai T,Kanega M,et al.A simple energy balance model for regular building arrays[J].Boundary-Layer Meteorology,2005,116(3):423-443.
[6] Martilli A,Clappier A,Rotach M W.An urban surface exchange parameterisation for mesoscale models[J].Boundary-Layer Meteorology,2002,104(2):261-304.
[7] Kondo H,Genchi Y,Kikegawa Y,et al.Development of a multilayer urban canopy model for the analysis of energy consumption in a big city:Structure of the urban canopy model and its basic performance[J].Boundary-Layer Meteorology,2005,116(3):395-421.
[8] Kikegawa Y,Genchi Y,Yoshikado H,et al.Development of a numerical simulation system toward comprehensive assessments of urban warming countermeasures including their impacts upon the urban buildings'energy demands[J].Applied Energy,2003,76(4):449-466.
[9] Salamanca F,Martilli A.A new building energy model coupled with an urban canopy parameterization for urban climate simulations-Part Ⅱ.Validation with one dimension off-line simulations[J].Theoretical & Applied Climatology,2010,99(3/4):345-356.
[10] 蒋维楣,陈燕.人为热对城市边界层结构影响研究[J].大气科学,2007,31(2)(1):37-47.
[11] 何晓凤.蒋维楣.陈燕.等.人为热源对城市边界层结构影响的数值模拟研究[J].地球物理学报,2007,50(1):74-82.
[12] Miao S,Chen F,LeMone M,et al.An observational and modeling study of characteristics of urban heat island and boundary layer structures in Beijing[J].Journal of Applied Meteorology & Climatology,2009,48(3):484-501.
[13] 佟华.刘辉志.桑建国.等.城市人为热对北京热环境的影响[J].气候与环境研究,2004,9(3):409-421.
[14] Chen F,Kusaka H,Bornstein R,et al.The integrated WRF/urban modelling system:Development,evaluation,and applications to urban environmental problems[J].International Journal of Climatology,2011,31(2):273-288.
[15] 王咏薇,伍见军,杜钦,等.不同城市冠层参数化方案对重庆高密度建筑物环境的数值模拟研究[J].气象学报,2013,71(6):1130-1145.
[16] Zhang N,Zhu L,Zhu Y.Urban heat island and boundary layer structures under hot weather synoptic conditions:A case study of Suzhou city,China[J].Advances in Atmospheric Sciences,2011,28(4):855-865.
[17] 张艳霞,蒙伟光,戴光丰,等.WRF耦合城市冠层模式对珠三角城市群天气模拟影响的评估[J].热带气象学报,2013,29(6):935-946.
[18] Brousse O,Martilli A,Foley M,et al.WUDAPT,an efficient land use producing data tool for mesoscale models? Integration of urban LCZ in WRF over Madrid[J].Urban Climate,2016(17):116-134.
[19] Hu X,Xue M.Influence of synoptic sea breeze fronts on the urban heat island intensity in Dallas-Fort Worth,Texas[J].Monthly Weather Review,2015,144(4):1487-1507.
[20] Ren C,Fung C H,Tse W P,et al.Implementing WUDAPT product into urban development impact analysis by using WRF simulation result-a case study of the Pearl River Delta Region (1980-2010)[C]//American Meteorological Society.The 13th symposium on Urban Environment,Seattle,WA,US:2017.
[21] 贺志明,邓诗茹,吴琼,等.1963-2012年南昌市气温和降水变化分析[J].气象与环境学报,2018,34(2):35-43.
[22] Li L G,Wang H B,Zhao Z Q,et al.Characteristics of urban heat island (UHI) source and sink areas in urban region of Shenyang[C]//IEEE.2014 third international workshop on earth observation and remote sensing applications(EORSA),Changsha,China,2014:62-66.
[23] Skamarock W C,Klemp J B,Dudhia J,et al.A description of the Advanced Research WRF version 3[M].Boulder,Colorado,USA:National Center for Atmospheric Research,2008.
[24] Schlünzen K H.Katzfey J J.Relevance of sub-grid-scale land-use effects for mesoscale models[J].Tellus,A,2003,55(3):232-246.

土地扩张对城市边界层风热环境影响的模拟研究--以沈阳市为例

A numerical simulation study on the effects of urban expansion on the wind and thermal environment in boundary layer:a case study of Shenyang

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