• 研究论文 •

### 基于MODIS的秦巴山地气温估算与山体效应分析

1. 1. 河南大学环境与规划学院,开封 475004
2. 黄河中下游数字地理技术教育部重点实验室,开封 475004
3. 河南省时空大数据产业技术研究院,郑州 450000
• 收稿日期:2019-03-06 修回日期:2019-05-23 出版日期:2020-03-20 发布日期:2020-05-20
• 通讯作者: 赵芳
• 作者简介:刘俊杰（1995-）,女,河南周口人,硕士,主要从事山地GIS、山地地理研究。E-mail: junjieliu555@163.com
• 基金资助:
国家自然科学基金项目(41601091);中国南北过渡带综合科学考察项目(2017FY100900);国家科技平台建设项目(2005DKA32300)

### Estimation of air temperature based on MODIS and analysis of mass elevation effect in the Qinling-Daba Mountains

LIU Junjie1,2, PAN Ziwu1,2, QIN Fen1,2,3, GU Jiangyan1, ZHU Mingyang1, ZHAO Fang1()

1. 1. College of Environment and Planning, Henan University, Kaifeng 475004, Henan, China
2. Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, Kaifeng 475004, Henan, China
3. Henan Industrial Technology Academy of Spatio-Temporal Big Data, Henan University, Zhengzhou 450000, China
• Received:2019-03-06 Revised:2019-05-23 Online:2020-03-20 Published:2020-05-20
• Contact: ZHAO Fang

Abstract:

As a huge mountain range in the North-South boundary of China, the Qinling-Daba Mountains are characterized by prominent mass elevation effect (MEE) and play an important role in the azonality pattern of climate and ecology in central China. The essence of the MEE is the warming effect of mountains, as huge mountain and plateau absorbs more solar radiation compared with the free atmosphere of the same altitude and then releases in the form of long-wave radiation external heat, making the internal mountain temperature higher than the external in the same altitude of free atmosphere. Therefore, the temperature difference between the mountain interior and the periphery has been suggested as an appropriate indicator to quantify the MEE. To analyze MEE of the Qinling-Daba Mountains, MODIS land surface temperature (LST) data, STRM-1 DEM data and observation data from 118 meteorological stations were combined to estimate monthly mean air temperature by ordinary linear regression (OLS) and geographical weighted regression (GWR) methods in the Qinling-Daba Mountains. Air temperature at an altitude of 1500 m (the average elevation of the Qinling-Daba Mountains) in the interior of the Qinling-Daba Mountains was calculated by a fixed lapse rate and compared with that in the periphery. The results show that: (1) Compared with OLS method, the GWR method has higher accuracy with R 2 > 0.89 and the root mean squared error (RMSE) = 0.68-0.98 ℃. (2) The monthly mean temperature at the altitude of 1500 m estimated by GWR presents a gradual upward trend from east to west. In the western Qinling Mountains, the annual average temperature and temperature in July at the altitude of 1500 m increase about 6 ℃ and 4.5 ℃ compared with the eastern flank, while in the Daba Mountains, they are about 8°C and 5 ℃ higher in the west than in the east. (3) From south to north, with the Hanjiang River as the boundary, the monthly mean temperature at the altitude of 1500 m tends to rise from the rim of the mountains to the ridge. (4) Compared with the lower valleys in Hanzhong and western Henan, the monthly mean temperatures at the altitude of 1500 m are approximately 3.85-9.28 ℃, 1.49-3.34 ℃ and 0.43-3.05 ℃ higher those in the great undulating high mountains in the western Qinling-Daba Mountains, the great undulating middle-high mountains in the Qinling Mountains and the great undulating middle mountains in the Daba Mountains, respectively, and the average temperature difference is about 3.50 ℃. This shows that the MEE of the Qinling-Daba Mountains is obvious and its impact on the distribution patterns of mountain climate and ecology needs to be further studied.