The geographical features,i.e.latitude,altitude,distance to large water area and mountain structure,etc.,are commonly accepted as the global factors impacting the spatial distribution of groud surface temperature.However in the mountainous area,local topographical features,such as slope gradient,aspect and terrain shading play a significant role to the redistribution of thermal energy.The traditional method for calculating the spatial distribution of surface temperature in rugged areas usually employs a model of statistic regression,namely a regression of temperature against latitude,longitude and altitude,etc.,which is suitable for revealing the regional surface temperature,but not for refined climatic source exploration and application.Taking Yaoxian County in Shaanxi Province as a test area,DEM dataset of 1:50000 map as basic information sources,the authors conducted a terrain-revised model for calculating temperature at local slope level.The key process is a cell by cell revising of traditional model by calculating the astronomical radiation based on DEM.A comparison between simulated temperature and radiation one from TM6 thermal infrared image shows that the new method gets more reasonable result which could reveal not only accurate local temperature,but also their finer distribution.It will be great helpful to improve the temperature simulation both qualitatively and effectively.
YANG Xin, TANG Guoan, WANG Chun, DENG Feng-Dong
. Terrain-Revised Ground Surface Temperature Model of Mountain Area Based on DEM——A Case Study in Yaoxian County of Shaanxi Province[J]. SCIENTIA GEOGRAPHICA SINICA, 2007
, 27(4)
: 525
-530
.
DOI: 10.13249/j.cnki.sgs.2007.04.525
[1] 傅抱璞,虞静明,卢其尧.山地气候资源与开发利用[M].南京:南京大学出版社,1996.203～232.
[2] 翁笃鸣,罗哲贤.山区地形气候[M].北京:气象出版社,1990.144～240.
[3] 朱求安,张万昌,赵登忠.基于PRISM和泰森多边形的地形要素日降水量空间差值研究[J].地理科学,2005,25(2):233～238.
[4] 欧阳宗继,赵新平,赵有中,等.山区局部气候小网格研究方法[J].农业工程学报,1996,12(3):144～148.
[5] 路云阁,李双成,蔡运龙.近40年气候变化及其空间分异的多尺度研究——以内蒙古自治区为例[J].地理科学,2004,24(4):432～438.
[6] Radan Huth,Jan Kysel Y,Martin Dubrovsky,etc.Simulation of surface air temperature by GCMs,Statistical Downscaling and Weather Generator:Higher-Order Statistical moments[J].Stud.Geophys.Geod.,2003,47:203-216.
[7] Oleg A.Anisimov Prediction patterns of near-surface temperature using empirical data[J].Climatic Change 2001,50:297-315.
[8] 徐希孺,柳钦火,陈家宜.遥感陆面温度[J].北京大学学报,1998,34(2～3):248～253.
[9] 赵云升,杜嘉,宋开山,等.基于卫星遥感的夏季长春市城区热场分析[J].地理科学,2006,26(1):70～74.
[10] 覃志豪,Zhang Ming hua,Arnon Karnieli,等.用陆地卫星TM6数据演算地表温度的单窗算法[J].地理学报,2001,56(4):456～466.
[11] 刘三超,张万昌,蒋建军,等.用TM影象和DEM获取黑河流域地表反射率和反照率[J].地理科学,2003,23(5):585～591.
[12] Jose A S,Juan C J,Leonardo P.Land surface temperature retrieval from LANDSAT TM 5[J].R S Environ,2004,90(4):434-440.
[13] 张洪亮,倪绍祥,邓自旺,等.基于DEM的山区气温空间模拟方法[J].山地学报,2002,20(3):360～364.
[14] 孙汉群.坡面对全球可照时间影响的解析研究[J].地理科学,2006,26(1):94～100.
[15] 孙汉群.坡面日出日没时角的配置关系与太阳赤纬[J].地理科学,2005,25(3):361～366.
[16] Dozier J,Frew J.Rapid calculation of terrain parameters for radiation modeling from digital elevation data[J].IEEE Transaction on Geoscience and Remote Sensing,1990,28(5):963-969.
[17] 王权,杨正宇,孙广友.应用SUNLIGHT模型求算微起伏区太阳辐射值[J].地理科学,1998,18(6):542～548.
[18] 李新,程国栋,陈贤章,等.任意条件下太阳辐射模型的改进[J].科学通报,1999,44(9):993～998.
[19] 曾燕,邱新法,刘昌明,等.基于DEM的黄河流域天文辐射空间分布[J].地理学报,2003,58(6):810～816.
[20] 杨昕,汤国安,王雷.基于DEM的太阳总辐射模型及实现[J].地理与地理信息科学,2004,20(5):41～44.
[21] 鞠晓慧,屠其璞,李庆祥.我国太阳总辐射气候学计算方法的再讨论[J].南京气象学院学报,2005,28(4):516～521.
[22] 杨东,方小敏,彭子成,等.陇西六盘山黄土及最近1.8 MaB.P.以来的构造运动与气候变化[J].地理科学,2006,26(2):192～198.
[23] 谢远云,李长安,王秋良,等.江汉平原9.0 ka B.P.以来的气候演化:来自江陵剖面沉积物记录[J].地理科学,2006,26(2):199～204.
[24] 郑朝贵,朱诚,高华中,等.南京江北地区晚更新世末期以来泥炭层δ13C记录的古气候变化[J].地理科学,2006,26(3):328～334.
[25] 卢爱刚,庞德谦,何元庆,等.全球升温对中国区域温度纬向梯度的影响[J].地理科学,2006,26(3):345～350.
[26] 李国平,肖杰.青藏高原西部地面反射率的日变化以及与若干气象因子的关系[J].地理科学,2007,27(2):63～67.
[27] 曾燕,邱新法,刘昌明,等.黄河流域有效辐射拟合研究[J].地理科学,2007,27(3):342～347.
