IMHE OpenIR  > Journal of Mountain Science  > Journal of Mountain Science-2017  > Vol14 No.11
Spatial distribution modeling of temperature increase for the uplifted mountain terrains and its characteristics in Southwest China
WANG Yan-xia; DING Kun; LI Mao-biao; ZHOU Ru-liang
Corresponding AuthorZHOU Ru-liang
2017-11
Source PublicationJournal of Mountain Science
ISSN1672-6316
Volume14Issue:11Pages:2270-2283
Subtype期刊论文
AbstractLocal temperature changes in mountain areas are significantly affected by the uplifted mountain terrains. Understanding how temperature increase with mountain terrains is an important component in accurately modeling the spatial distribution of temperature. The study, after minimizing the effect of elevation and latitude, quantitatively simulated the temperature increase in the uplifted mountain terrains, described the characteristics in the spatial distribution of warming areas with different magnitudes, and identified the correlated indices of mountain bodies for warming. Selecting Yunnan Province in southwest China as the study area, we simulated the warming field on a baseline surface at the average elevation of 2000 m and average latitude of 24.96°. The results indicated that the warming magnitudes in different local areas varied with the change in the spatial locations, and the warming process concentrated in the mountainous regions. Throughout the entire study area, the warming field presented a general pattern of three terraces from the regions of high mountains to middle mountains and then low mountains. The areas of high warming magnitude mainly surrounded large mountain bodies and were distributed on the upper part. The areas of low warming magnitude clustered in the valleys and basins of the middle mountain region, mostly on the lower part of the large mountain bodies and its branches. The areas with zero warming magnitude occurred in the low mountains and broad valleys, which were distributed largely on the lower parts of the middle mountains and in most of the valleys. Quantified sampling analysis demonstrated good positive correlation between the warming magnitudes in uplifted mountain terrains and the volume index of the mountain body, as well as elevation difference, with the coefficients corresponding to 0.82 and 0.91, respectively.
KeywordUplifted Mountain Terrains Temperature Increase Baseline Surface High Warming Magnitude Remote Sensing Retrieval
DOIhttps://doi.org/10.1007/s11629-016-4120-2
Indexed BySCI
Language英语
Citation statistics
Document Type期刊论文
Identifierhttp://ir.imde.ac.cn/handle/131551/19194
CollectionJournal of Mountain Science_Journal of Mountain Science-2017_Vol14 No.11
Recommended Citation
GB/T 7714
WANG Yan-xia,DING Kun,LI Mao-biao,et al. Spatial distribution modeling of temperature increase for the uplifted mountain terrains and its characteristics in Southwest China[J]. Journal of Mountain Science,2017,14(11):2270-2283.
APA WANG Yan-xia,DING Kun,LI Mao-biao,&ZHOU Ru-liang.(2017).Spatial distribution modeling of temperature increase for the uplifted mountain terrains and its characteristics in Southwest China.Journal of Mountain Science,14(11),2270-2283.
MLA WANG Yan-xia,et al."Spatial distribution modeling of temperature increase for the uplifted mountain terrains and its characteristics in Southwest China".Journal of Mountain Science 14.11(2017):2270-2283.
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