Spatiotemporal change patterns and driving factors of land surface temperature in the Yunnan-Kweichow Plateau from 2000 to 2020
文献类型：期刊论文
| 作者 | He, Zhi-Wei1,2; Tang, Bo -Hui1,2,3 |
| 刊名 | SCIENCE OF THE TOTAL ENVIRONMENT
 |
| 出版日期 | 2023-10-20 |
| 卷号 | 896页码:13 |
| ISSN号 | 0048-9697 |
| 关键词 | Land surface temperature (LST) Time-series analysis Spatiotemporal change patterns Driving factors Yunnan-Kweichow Plateau (YKP) |
| DOI | 10.1016/j.scitotenv.2023.165288 |
| 通讯作者 | Tang, Bo -Hui(tangbh@kust.edu.cn) |
| 英文摘要 | In this study, the spatiotemporal change patterns and driving factors of land surface temperature (LST) on the YunnanKweichow Plateau (YKP) during 2000-2020 are investigated by using the Thermal and Reanalysis Integrating Moderate-resolution Spatial-seamless (TRIMS) LST dataset provided by National Tibetan Plateau Data Center. The YKP LST spatiotemporal change patterns are revealed at annual, seasonal, monthly, and daily scales. Furthermore, seven driving factors such as air temperature, land cover types, normalized difference vegetation index, precipitation, solar radiation, elevation, and latitude are quantified the impacts on LST spatial heterogeneity at annual scale. The main findings are as follows: (1) Annual mean LST increases by 0.016 K/year. Annual mean daytime LST slightly decreases by 0.009 K/year. Annual mean nighttime LST significantly increases by 0.042 K/year. (2) The trend and seasonal components of the daily, daily mean daytime, and daily mean nighttime LST have five and four breakpoints respectively, indicating that the variation of LST is unstable during 2000-2020 on the YKP. (3) The LST lapse rates at nighttime are generally higher than those at daytime on the YKP at the annual, seasonal, and monthly scales. The LST maximum lapse rate is 0.59 K/100 m in summer nighttime, and the LST minimum lapse rate is 0.18 K/100 m in winter daytime. (4) The controlling effects of seven factors are generally stronger in the nighttime than those in the daytime. The factors of elevation and air temperature dominate the LST spatial distribution on the YKP, with a contribution rate of >70 %. In addition, the interactions among the seven factors are all enhancing the effects on the spatial distribution of annual mean LST, including bivariate enhancement and nonlinear enhancement. This study contributes to the mitigation and adaptation to climate change of LST in the plateau and plays a theoretical reference role in formulating corresponding policies for environmental protection. |
| WOS关键词 | TIBETAN PLATEAU ; CLIMATE-CHANGE ; TIME-SERIES ; CHINA ; DATASET ; TREND ; ALGORITHM ; PHENOLOGY |
| 资助项目 | National Natural Science Foundation of China[42230109] ; Platform Construction Project of High -Level Talent in KUST |
| WOS研究方向 | Environmental Sciences & Ecology |
| 语种 | 英语 |
| 出版者 | ELSEVIER |
| WOS记录号 | WOS:001037486900001 |
| 资助机构 | National Natural Science Foundation of China ; Platform Construction Project of High -Level Talent in KUST |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/196054]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Tang, Bo -Hui |
| 作者单位 | 1.Kunming Univ Sci & Technol, Fac Land Resources Engn, Kunming 650093, Peoples R China 2.Dept Educ Yunnan Prov, Key Lab Plateau Remote Sensing, Kunming, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | He, Zhi-Wei,Tang, Bo -Hui. Spatiotemporal change patterns and driving factors of land surface temperature in the Yunnan-Kweichow Plateau from 2000 to 2020[J]. SCIENCE OF THE TOTAL ENVIRONMENT,2023,896:13. |
| APA | He, Zhi-Wei,&Tang, Bo -Hui.(2023).Spatiotemporal change patterns and driving factors of land surface temperature in the Yunnan-Kweichow Plateau from 2000 to 2020.SCIENCE OF THE TOTAL ENVIRONMENT,896,13. |
| MLA | He, Zhi-Wei,et al."Spatiotemporal change patterns and driving factors of land surface temperature in the Yunnan-Kweichow Plateau from 2000 to 2020".SCIENCE OF THE TOTAL ENVIRONMENT 896(2023):13. |
入库方式： OAI收割
来源：地理科学与资源研究所
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