中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Methods for modelling of temporal and spatial distribution of air temperature at landscape scale in the southern Qilian mountains, China

文献类型:期刊论文

作者Zhao, CY; Nan, ZR; Cheng, GD
刊名ECOLOGICAL MODELLING
出版日期2005-11-25
卷号189期号:1-2页码:209-220
关键词surface air temperature linear regression geostatistical methods Qilian mountains landscape scale
ISSN号0304-3800
DOI10.1016/j.ecolmodel.2005.03.016
通讯作者Zhao, CY(nanzhr@lzb.ac.cn)
英文摘要Understanding temporal and spatial distribution of surface air temperature (SAT) at the landscape scale is essential in assessing the potential ecological conditions for ecological restoration and in making decisions for regional management in the Qilian mountains, northwest China. Based on the measurement of air temperature, this study developed a linear regression relationship between the monthly mean SAT and elevation and locational/topographic factors. On average over the year, the model had a higher accuracy to predict SAT in the southern Qilian mountainous terrain of the Heihe River Basin. The study also compared the built linear regression model with geostatistical methods (i.e., ordinary kriging, splines and inverse distance weight), generally, the predictions errors obtained by the geostatistical methods were larger than that by regression method. The worst results were produced by spline. It was noteworthy that for several months (i.e. growing seasons) ordinary kriging yielded smaller prediction errors than the linear regression of temperature against elevation and locational/topographic factors did. We selected the OK method to estimate the SAT in the growing seasons, because accurately estimating surface air temperature during the ecologically meaningful time period was very important to model future ecological processes. Modeled SAT increased from northeast to southwest with highest value occurring in the Yinglou gorge, the outlet of Heihe River in the study area. Temporally, highest SAT value, ranging from 9.2 to 18.7 degrees C, appeared in the July, and the lowest SAT value, from 3.3 to 13.3 degrees C, was seen in May. (c) 2005 Elsevier B.V. All rights reserved.
收录类别SCI
WOS关键词SOLAR-RADIATION ; SURFACE-TEMPERATURE ; RIVER BASIN ; TERRAIN ; PRECIPITATION ; ELEVATION ; RAINFALL ; GIS ; EVAPOTRANSPIRATION ; INTERPOLATION
WOS研究方向Environmental Sciences & Ecology
WOS类目Ecology
语种英语
WOS记录号WOS:000233374300012
出版者ELSEVIER SCIENCE BV
URI标识http://www.irgrid.ac.cn/handle/1471x/2555660
专题寒区旱区环境与工程研究所
通讯作者Zhao, CY
作者单位1.CAS, State Key Lab Frozen Soil Engn, Cold & Arid Reg Environm & Engn Res Inst, Lanzhou 730000, Peoples R China
2.Lanzhou Univ, Dept Environm Sci, Lanzhou 730000, Peoples R China
推荐引用方式
GB/T 7714
Zhao, CY,Nan, ZR,Cheng, GD. Methods for modelling of temporal and spatial distribution of air temperature at landscape scale in the southern Qilian mountains, China[J]. ECOLOGICAL MODELLING,2005,189(1-2):209-220.
APA Zhao, CY,Nan, ZR,&Cheng, GD.(2005).Methods for modelling of temporal and spatial distribution of air temperature at landscape scale in the southern Qilian mountains, China.ECOLOGICAL MODELLING,189(1-2),209-220.
MLA Zhao, CY,et al."Methods for modelling of temporal and spatial distribution of air temperature at landscape scale in the southern Qilian mountains, China".ECOLOGICAL MODELLING 189.1-2(2005):209-220.

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来源:寒区旱区环境与工程研究所

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