城市形态参数对边界层气象条件影响的模拟

Abstract
Figure/Table
References (33)
Related Citation (15)

Download: PDF (2506 KB) HTML (1 KB)
Export: BibTeX | EndNote (RIS)

Abstract

In this paper, the regional meteorological model WRF with urban canopy scheme has been used to study the impacts of urban morphological parameters on the meteorological fields in planetary boundary layer over the Shenzhen region (high population and building density city). The results from sensitivity experiments showed that the interception of heat in the urban canopy was enhanced in the daytime by the higher building height and density, and therefore the heat storage in the urban areas was also increased by about 6W/m² and 9W/m². Considering the effects of both shading and trapping by the urban canopy, the skin surface temperature was reduced by about 0.3℃ with the increased building height, and the skin surface temperature was increased by more than 0.6℃ in the daytime with the higher building density. In addition, there is a good consistency between the 2m temperature and the skin surface temperature. The wind speed was decreased by about 0.4m/s due to higher building height and 0.6m/s due to higher building density through the increased surface roughness. In the meantime, the nocturnal boundary layer was increased by about 30~40m due to higher building height and 20~30m due to higher building density at night through the enhancement of turbulent motion. On the contrary, the decreases of building height and density reduced the heat storage by 6~7.5W/m² in the daytime, increased the 10m wind speed by about 0.3m/s and 0.4m/s, and decreased the nocturnal boundary layer height by about 30~50m and 10~30m.

Key words： urban morphological structure meteorological elements WRF urban canopy scheme

Received: 21 June 2018

PACS:	X16
	P404

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	SHEN Chong
	SHEN Ao
	TIAN Chun-yan
	WEI Xiao-lin
	LI Lei
	WANG Ming-jie
	CHEN Xun-lai
	FAN Qi

Cite this article:

SHEN Chong,SHEN Ao,TIAN Chun-yan等. Assessment of urban morphological structure parameters effects on meteorological fields in planetary boundary layer[J]. CHINA ENVIRONMENTAL SCIENCECE, 2019, 39(1): 72-82.

URL:

http://www.zghjkx.com.cn/EN/ OR http://www.zghjkx.com.cn/EN/Y2019/V39/I1/72

[1]	Bornstein R D. Observations of the Urban Heat Island Effect in New York City[J]. Journal of Applied Meteorology, 1968,7(7):575-582.
[2]	Oke T R. City size and the urban heat island[J]. Atmospheric Environment, 1973,7(8):769-779.
[3]	Mirzaei P A, Haghighat F. Approaches to study Urban Heat Island-Abilities and limitations[J]. Building and Environment, 2010,45(10):2192-2201.
[4]	周军芳,范绍佳,李浩文,等.珠江三角洲快速城市化对环境气象要素的影响[J]. 中国环境科学, 2012,32(7):1153-1158. Zhou J F, Fan S J, Li H W, et al. Impact of urbanization on meteorological factors in Pearl River Delta[J]. China Environmental Science, 2012,32(7):1153-1158.
[5]	陆燕,王勤耕,翟一然,等.长江三角洲城市群人为热排放特征研究[J]. 中国环境科学, 2014,34(2):295-301. Lu Y, Wang Q G, Zhai Y R, et al. Anthropogenic heat emissions in the Yangtze River Delta region[J]. China Environmental Science, 2014, 34(2):295-301.
[6]	钱敏蕾,徐艺扬,李响,等.上海市城市化进程中热环境响应的空间评价[J]. 中国环境科学, 2015,35(2):624-633. Qian M L, Xu Y Y, Li X, et al. An assessment of spatial thermal environmental response to rapid urbanization of Shanghai[J]. China Environmental Science, 2015,35(2):624-633.
[7]	周密,常鸣,赖安琪,等.未来土地利用类型对珠江三角洲气象场的影响[J]. 中国环境科学, 2017,37(8):2896-2904. Zhou M, Chang M, Lai A Q, et al. Impacts of future land use on meteorological conditions over the Pearl River Delta Region[J]. China Environmental Science, 2017,37(8):2896-2904.
[8]	Wang X M, Lin W S, Yang L M, et al. A numerical study of influences of urban land-use change on ozone distribution over the Pearl River Delta region, China[J]. Tellus B, 2007,59(3):633-641.
[9]	Wang X M, Chen F, Wu Z Y, et al. Impacts of Weather Conditions Modified by Urban Expansion on Surface Ozone:Comparison between the Pearl River Delta and Yangtze River Delta Regions[J]. Advances in Atmospheric Sciences, 2009,26(5):962-972.
[10]	Zhang N, Gao Z Q, Wang X M, et al. Modeling the impact of urbanization on the local and regional climate in Yangtze River Delta, China[J]. Theoretical and Applied Climatology, 2010,102(3/4):331-342.
[11]	Zhu B, Kang H Q, Zhu T, et al. Impact of Shanghai urban land surface forcing on downstream city ozone chemistry[J]. Journal of Geophysical Research Atmospheres, 2015,120(9):4340-4351.
[12]	Li M M, Song Y, Mao Z C, et al. Impacts of thermal circulations induced by urbanization on ozone formation in the Pearl River Delta region, China[J]. Atmospheric Environment, 2016,127:382-392.
[13]	Masson V. A physically based scheme for the urban energy budget in atmospheric models[J]. Boundary-Layer Meteorology, 2000,94(3):357-397.
[14]	Kusaka H, Kondo H, KikegawaI 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.
[15]	Martilli A, Clappier A, Rotach M. An urban surface exchange parameterization for mesoscale models[J]. Boundary-Layer Meteorology, 2002,104(2):261-304.
[16]	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 and Applied Climatology, 2010,99(3/4):345-356.
[17]	Martilli A, Roulet Y A, Junier M, et al. On the impact of urban surface exchange parameterisations on air quality simulations:the Athens case[J]. Atmospheric Environment, 2003,37(30):4217-4231.
[18]	Lee S H, Kim S W, Angevine W M, et al. Evaluation of urban surface parametrizations in the WRF model using measurements during the Texas Air Quality Study 2006 field campaign[J]. Atmospheric Chemistry and Physics, 2011,11(5):2127-2143.
[19]	Salamanca F, Martilli A, Tewari M, et al. A Study of the Urban Boundary Layer Using Different Urban Parameterizations and High-Resolution Urban Canopy Parameters with WRF[J]. Journal of Applied Meteorology and Climatology, 2011,50(5):1107-1128.
[20]	Liao J B, Wang T J, Wang X M, et al. Impacts of different urban canopy schemes in WRF/Chem on regional climate and air quality in the Yangtze River Delta, China[J]. Atmospheric Research, 2014,145-146:226-243.
[21]	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. Wang Y W, Wu J J, Du Q, et al. Numerical study of the Chongqing high-density buildings environment by the WRF with the different urban canopy schemes[J]. Acta Meteorologica Sinica, 2013,71(6):1130-1145.
[22]	蒋立辉,余梁,秦宇焘,等.城市冠层方案对北京地区天气模拟影响的研究[J]. 中国民航飞行学院学报, 2016,27(3):20-22,26. Jiang L H, Yu L, Qin Y T, et al. Effect of Urban Canopy Scheme on the Weather Simulation Research in Beijing Area[J]. Journal of Civil Aviation Flight University of China, 2016,27(3):20-22,26.
[23]	Loridan T, Grimmond C S B, Grossman-Clarke S, et al. Trade-offs and responsiveness of the single-layer urban canopy parametrization in WRF:An offline evaluation using the MOSCEM optimization algorithm and field observations[J]. Quarterly Journal of the Royal Meteorological Society, 2010,136(649):997-1019.
[24]	Wang Z H, Bouzeid E, Au S K, et al. Analyzing the Sensitivity of WRF's Single-Layer Urban Canopy Model to Parameter Uncertainty Using Advanced Monte Carlo Simulation[J]. Journal of Applied Meteorology and Climatology, 2010,50(9):1795-1814.
[25]	陈燕,蒋维楣.城市建筑物对边界层结构影响的数值试验研究[J]. 高原气象, 2006,25(5):824-833. Chen Y, Jiang W M. The Numerical Experiments of the Effect of Urban Buildings on Boundary Layer Structure[J]. Plateau Meteorology, 2006,25(5):824-833.
[26]	Adachi S A, Kimura F, Kusaka H, et al. Moderation of Summertime Heat Island Phenomena via Modification of the Urban Form in the Tokyo Metropolitan Area[J]. Journal of Applied Meteorology and Climatology, 2014,53(8):1886-1900.
[27]	Lin C, Su C J, Kusaka H, et al. Impact of an improved WRF-urban canopy model on diurnal air temperature simulation over northern Taiwan[J]. Atmospheric Chemistry and Physics, 2016,16(3):28483-28516.
[28]	Paz D D L, Borge R, Martilli A. Assessment of a high resolution annual WRF-BEP/CMAQ simulation for the urban area of Madrid (Spain)[J]. Atmospheric Environment, 2016,144:282-296.
[29]	常鸣,樊少芬,王雪梅.珠三角土地覆被资料优选及在WRF模式中的初步应用[J]. 环境科学学报, 2014,34(8):1922-1933. Chang M, Fan S F, Wang X M. Impact of refined land-cover data on WRF performance over the Pearl River Delta region, China[J]. Acta Scientiae Circumstantiae, 2014,34(8):1922-1933.
[30]	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.
[31]	Loridan T, Grimmond C S B. Characterization of Energy Flux Partitioning in Urban Environments:Links with Surface Seasonal Properties[J]. Journal of Applied Meteorology and Climatology, 2012,51(2):219-241.
[32]	张鑫,蔡旭晖,柴发合.北京市秋季大气边界层结构与特征分析[J]. 北京大学学报:自然科学版, 2006,42(2):220-225. Zhang X, Cai X H, Chai F H. Structures and Characteristics of the Atmospheric Boundary Layer over Beijing Area in Autumn[J]. Acta Scientiarum Naturalium Universitatis Pekinensis, 2006,42(2):220-225.
[33]	盛裴轩,毛节泰,李建国,等.大气物理学[M]. 北京大学出版社, 2013:270-271. Sheng P X, Mao J T, Li J G, et al. Atmospheric physics[M]. Peking University Press, 2013:270-271.