Estimation of air temperature and the mountain-mass effect in the Yellow River Basin using multi-source data
文献类型：期刊论文
| 作者 | Pan, Ziwu2,3; Zhu, Jun2,3; Liu, Junjie1; Gu, Jiangyan4; Liu, Zhenzhen2,3; Qin, Fen2,3; Pan, Yu5 |
| 刊名 | PLOS ONE
 |
| 出版日期 | 2021 |
| 卷号 | 16期号:10页码:20 |
| ISSN号 | 1932-6203 |
| DOI | 10.1371/journal.pone.0258549 |
| 通讯作者 | Qin, Fen(qinfun@126.com) |
| 英文摘要 | Quantitative studies of the multiple factors influencing the mountain-mass effect, which causes higher temperatures in mountainous than non-mountainous regions, remain insufficient. This study estimated the air temperature in the Yellow River Basin, which spans three different elevation ranges, using multi-source data to address the uneven distribution of regional meteorological stations. The differences in mountain-mass effect for different geomorphic regions at the same altitude were then compared. The Manner-Kendall nonparametric test was used to analyse time series changes in temperature. Moreover, we employed the geographically weighted regression (GWR) model, with MODIS land-surface and air-temperature data, station-based meteorological data, vertical temperature gradients corresponding to the 2000-2015 period, and elevation data, to estimate the correlation between monthly mean surface temperature and air temperature in the Yellow River Basin. The following major results were obtained. (1) The GWR method and ground station-based observations enhanced the accuracy of air-temperature estimates with an error of only +/- 0.74 degrees C. (2) The estimated annual variations in the spatial distributions of 12-month average temperatures showed that the upper Tibetan Plateau is characterised by low annual air temperatures with a narrow spatial distribution, whereas north-eastern areas upstream of the Inner Mongolia Plateau are characterised by higher air temperatures. Changes in the average monthly air temperature were also high in the middle and lower reaches, with a narrow spatial distribution. (3) Considering the seasonal variation in the temperature lapse rate, the mountain-mass effect in the Yellow River Basin was very high. In the middle of each season, the variation of air temperature at a given altitude over the Tibetan Plateau was higher than that over the Loess Plateau and Jinji Mountain. The results of this study reveal the unique temperature characteristics of the Yellow River Basin according to its geomorphology. Furthermore, this research contributes to quantifying mountain-mass effects. |
| WOS关键词 | MEAN MAXIMUM ; TRENDS ; DROUGHT |
| WOS研究方向 | Science & Technology - Other Topics |
| 语种 | 英语 |
| 出版者 | PUBLIC LIBRARY SCIENCE |
| WOS记录号 | WOS:000729178100040 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/168556]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Qin, Fen |
| 作者单位 | 1.Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China 2.Henan Univ, Coll Geog & Environm Sci, Kaifeng, Peoples R China 3.Henan Univ, Key Lab Geospatial Technol Middle & Lower Yellow, Minist Educ, Kaifeng, Peoples R China 4.Wuhan Univ, Wuhan, Peoples R China 5.Guizhou Univ, Guiyang, Peoples R China |
| 推荐引用方式 GB/T 7714 | Pan, Ziwu,Zhu, Jun,Liu, Junjie,et al. Estimation of air temperature and the mountain-mass effect in the Yellow River Basin using multi-source data[J]. PLOS ONE,2021,16(10):20. |
| APA | Pan, Ziwu.,Zhu, Jun.,Liu, Junjie.,Gu, Jiangyan.,Liu, Zhenzhen.,...&Pan, Yu.(2021).Estimation of air temperature and the mountain-mass effect in the Yellow River Basin using multi-source data.PLOS ONE,16(10),20. |
| MLA | Pan, Ziwu,et al."Estimation of air temperature and the mountain-mass effect in the Yellow River Basin using multi-source data".PLOS ONE 16.10(2021):20. |
入库方式： OAI收割
来源：地理科学与资源研究所
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