Numerical simulations of effects on urban PBL characters with landuse categeories modification

ZHANG Chi; SHU Jiong

Issue 4

Nov. 2011

Turn off MathJax

Article Contents

Article Navigation > Journal of East China Normal University (Natural Sciences) > 2011 > (4): 83-93

ZHANG Chi, SHU Jiong. Numerical simulations of effects on urban PBL characters with landuse categeories modification[J]. Journal of East China Normal University (Natural Sciences), 2011, (4): 83-93.

Citation:

ZHANG Chi, SHU Jiong. Numerical simulations of effects on urban PBL characters with landuse categeories modification[J]. Journal of East China Normal University (Natural Sciences), 2011, (4): 83-93.

ZHANG Chi, SHU Jiong. Numerical simulations of effects on urban PBL characters with landuse categeories modification[J]. Journal of East China Normal University (Natural Sciences), 2011, (4): 83-93.

Citation:

PDF( 1102 KB)

Numerical simulations of effects on urban PBL characters with landuse categeories modification

1.
Key Laboratory of Geographic Information Science Ministry of Education, East China Normal University, Shanghai 200062, China

Received Date: 2010-12-01
Rev Recd Date: 2011-03-01
Publish Date: 2011-07-05

Abstract

Abstract

ENVI, IDL, GIS and aerial photographs were used to modify landuse data in ARW-WRF within Shanghai area. Firstly, grids were gained with GIS into the same resolution with the input data in WRF, which is too old for present landuse situation in Shanghai. Secondly, irrigated cropland and pasture, grassland, shrubland, loamy sand and silt were partly changed into urban and built-up land grid by grid, so as to be more closer to real situation, and the distribution of buildings was gained, helping to reach more accurate roughness value in UCM according to the 24 landuse categories defined in WRF model. Lastly, both modified and original data were input into WRF in case simulations. The wind field, temperature, and other characters of PBL in spring of Shanghai were gained in the simulation results. It shows that because of landuse types modification, horizontal wind velocity decreases obviously, displaying the urban dragging effects. Meanwhile, the vertical wind velocity increases, being greatly affected by surface warming effects. The higher temperature centers appear in the downwind direction by the effects of surface wind fields. Surface temperature and PBL height are both closer to observation values. The results lead us to discuss the importance of landuse categories input in models, and some other possible reasons causing the difference were mentioned.
- WRF model,
- landuse category,
- urban buildings distribution,
- PBL,
- numerical simulation

FullText(HTML)

References(1)

References

[1]

［1］曹嘉宏.台湾土地利用形态对MM5模拟局部环流之影响［D］.台北：国立中央大学大气物理研究所,2007:18.

CAO J H. Effects on local circulation simulated with MM5 by landuse categories in Taiwan ［D］. Taibei：Institute of atmosphere and physics, National Research Council, 2007: 18.

［2］ CHENG F Y, KIM S T, BYUN D. A numerical study to understand impact of meteorological fields on Houston’s high O3 problem using CMAQ/MM5［R］. San Antonio: AMS Conf, 2007.

［3］ CHEN F, DUDHIA J. Coupling an advanced land surface-hydrology model with the Penn Rev State-NCAR MM5 modeling system［J］. Monthly Weather Review, 2001, 129: 569-585.

［4］ NIELSEN G, JOHN W. Meteorological modeling for the August 2000 Houston-Galveston ozone episode: PBL Characteristics, nudging procedure and performance evaluation［R］∥ Texas Natural Resource Conservation Commission, Report to the Technical Analysis Division. Taxas: ［S. A.］， 2002: 109.

［5］ LAM J S L, LAU A K H, FUNG J C H. Application of refined land-use categories for high resolution mesoscale atmospheric modeling［J］. Boundary-Layer Meteorology, 2006, 119: 263-288.

［6］ ZHAO M, ZENG X M. A theoretical analysis on the local climate change induced by the change of landuse［J］. Advances in Atmospheric Science, 2002, 19(1): 1075-1082.

［7］董平，王凤娇，魏敏．夏季不同下垫面最高温度变化规律及影响因子［J］.安徽农学通报， 2009，15(13):160-161.

DONG P, WANG F J, WEI M. The change law and influence factors of the extreme high temperature of different landuse surfaces in summer ［J］. Anhui Agricultural Science Bulletin, 2009, 15(13): 160-161.

［8］朱西存，赵庚星.局地不同下垫面对气象要素的影响及其气候效应［J］.中国生态农业学报，2009，17(4):760-764.

ZHU X X, ZHAO G X. Local influence of underlying surface on meteorological elements and associated climatic effect ［J］. Chinese Journal of Eco-Agriculture, 2009, 17(4): 760-764.

［9］陈声海,魏信,王修信,等.小区地表温度与下垫面结构关系研究［J］.国土资源遥感,2009(3):49-53.

CHEN S H, WEI X, WANG X X, et al. The relationship between land surface temperatures of various plots and underlying ground structures ［J］. Remote Sensing for Land & Resources, 2009(3):49-53.

［10］王今殊.北京地区陆表温度空间分布特征与下垫面的关系［J］.徐州师范大学学报:自然科学版,2009,27(4):66-70.

WANG J S. The relationship between spatial characteristics of land surface temperature and property of land surface in Beijing area ［J］. Journal of Xuzhou Normal University: Natural Science, 2009, 27(4): 66-70.

［11］闫敏华,张伟, 陈泮勤.RegCM3对三江平原下垫面变化的敏感性检验［J］.东北师范大学学报:自然科学版,2010,42(1):141-145．

YAN M H, ZHANG W, CHEN P Q. Sensitivity test of RegCM3 to underlying surface change in the Sanjiang Plain ［J］. Journal of Northeast Normal University: Natural Science, 2010, 42(1): 141-145.

［12］戴俐卉，洪景山，庄秉洁，等.WRF模式中台湾地区土地利用型态更新与个案研究［C］∥ 95年天气分析与预报研讨会论文汇编.北京：中央气象局,2006:2-43.

DAI L H, HONG J S, ZHUANG B J, et al. Case study and landuse situation updating in Taiwan area with WRF model ［C］// Volume of articles of climate analysis and forecast discussion of year 1995. Beijing: Central Meteorological Bureau, 2006: 2-43.

［13］寇正，欧阳子济.暴发性气旋发展中科压强迫与潜热释放作用的数值试验［J］.气象科学，1999，19(3)：259-269． 

KOU Z, OUYANG Z J. The numeric experiment of baroclinic forcing and latent heat in the development of explosive cyclone［J］.Scientia Meteorologica Sinica, 1999, 19(3): 259-269.

［14］ 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.

［15］上海统计年鉴.统计数据，城市建设［1978，2008］［EB/OL］. ［2010-12-01］http://www.stats-sh.gov.cn.

Shanghai Statistical Yearbook. Stat Data, City Construction［1978，2008］［EB/OL］. ［2010-12-01］ http://www.stats-sh.gov.cn.

［16］陈家宜,王介民,光田宁.一种确定地表粗糙度的独立方法［J］.大气科学,1993,17(1):21-26.

CHEN J Y, WANG J M, YASUSHI M. An independent method to determine the surface roughness length ［J］. Scientia Atmospherica Sntica, 1993, 17(1): 21-26.

［17］贾立,王介民.卫星遥感结合地面资料对区域表面动量粗糙度的估算［J］.大气科学,1999,23(5):632-640.

JIA L, WANG J M. Estimation of area roughness length for momentum using remote sensing data and measurements in field ［J］. Chinese Journal of Atmospheric Sciences, 1999, 23(5): 632-640. 

［18］张强,吕世华.城市地表粗糙度长度的确定［J］.高原气象,2003,22(1): 24-32.

ZHANG Q, L S H. The determination of roughness length over city surface ［J］. Plateau Meteorology, 2003, 22(1): 24-32.

［19］高志球,卞林根,逯昌贵,等.城市下垫面空气动力学参数的估算［J］.应用气象学报,2002,13(Zl): 26-33. 

GAO Z Q, BIAN L G, LU C G, et al. Estimation of aerodynamic parameters in urban areas［J］. Journal of Applied Meteorological Science, 2002, 13(Zl): 26-33.

［20］韩素芹,刘彬贤,解以扬,等.利用255 m铁塔研究城市化对地面粗糙度的影响［J］.气象,2008,34(1): 54-58.

HAN S Q, LIU B X, XIE Y Y, et al. Research of urbanization on surface roughness with 255 m meteorological tower ［J］. Meteorological Monthly, 2008, 34(1): 54-58. 

［21］周淑贞，余碧霞.上海城市对风速的影响［J］.华东师范大学学报:自然科学版,1988(3):30-41.

ZHOU S Z, YU B X. The effects of Shanghai city to wind speed ［J］. Journal of East China Normal University: Natural Science, 1988(3): 30-41.

［22］周淑贞,束炯.城市气候学［M］.北京：气象出版社,1994,346-347.

ZHOU S Z, SHU J. Urban Climatology ［M］. Beijing: China Meteorological Press, 1994: 346-347.

［23］ LANDSBERG H E. The Urban Climate［M］.［S. l.］: Academic Press, 1981:147.

［24］李兆元.中国不同气候区域城市气候的研究［C］. 西安城市气候研究分报告,1990.

LI Z Y. Study of urban climate of different area in China ［C］. Reports of climate researches in Xi′an City, 1990.

［25］陈燕,蒋维楣,吴涧,等.用区域边界层模式对杭州市热岛的模拟研究［J］.高原气象,2004,23(4): 519-528.

CHEN Y, JIANG W M, WU J, et al. A numeric simulation on Hangzhou city heat island using regional boundary model ［J］. Plateau Meteorology, 2004, 23(4): 519-528.

Relative Articles

Supplements(0)

Cited By

Proportional views