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Arid Land Geography ›› 2022, Vol. 45 ›› Issue (4): 999-1009.doi: 10.12118/j.issn.1000-6060.2021.490

• Climatology and Hydrology •     Next Articles

Spatial distribution characteristics of temperature and precipitation trend in Qinghai Lake Basin from 2000 to 2018

HAN Yanli1,2,3(),YU Deyong4,CHEN Kelong2(),YANG Haizhen3   

  1. 1. Key Laboratory of Environmental Change and Natural Disaster of Ministry of Education, Beijing Normal University, Beijing 100875, China
    2. College of Geographical Science, Qinghai Normal University, Xining 810008, Qinghai, China
    3. College of Ecological Environment and Resources, Qinghai Nationalities University, Xining 810007, Qinghai, China
    4. Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
  • Received:2021-10-22 Revised:2022-12-02 Online:2022-07-25 Published:2022-08-11
  • Contact: Kelong CHEN E-mail:hanyanli0814@163.com;CKL7813@163.com

Abstract:

The Qinghai-Tibet Plateau, China is a sensitive area for global climate change. The spatial distribution and change trend of temperature and precipitation are the core and foundation of climate change research and provide basic data for developing ecological environment change assessment. This paper is based on the observation data of meteorological stations in the Qinghai Lake Basin and its surroundings during 2000—2018 using elevation as a covariate combined with the professional meteorological interpolation software ANUSPLIN to perform spatial interpolation of temperature and precipitation. The linear regression method was used to analyze the variation in the temperature and precipitation in the Qinghai Lake Basin. Furthermore, bivariate spatial autocorrelation analysis was used to analyze the spatial coupling relationship of temperature and precipitation in the basin. The research results show the following: (1) The temperature in the Qinghai Lake Basin from 2000 to 2018 showed an increasing, with an average growth rate of 0.30 ℃·(10a)-1, and increased significantly in spring. (2) Precipitation showed a significant increasing trend, with an average growth rate of 73.20 mm·(10a)-1; the growth rate is significant in spring and summer, the change is not obvious in autumn, and the winter tends to become dry. (3) The spatial matching of temperature and precipitation in the Qinghai Lake Basin is significantly different. On the interannual scale, the Moran’s I of temperature and precipitation is -0.66, showing a significantly negative correlation, with an area ratio of 67.56% and poor spatial matching of water and heat combinations. On a seasonal scale, the Moran’s I of temperature and precipitation in the Qinghai Lake Basin in spring, summer, autumn, and winter are -0.49, -0.80, -0.32, and -0.14, respectively, which are all negatively correlated in space. In spring and summer, the temperature in the low-altitude areas of the basin gradually increases, the precipitation in the high-altitude areas gradually increases, the area of negative correlation between temperature and precipitation gradually increases, and the spatial matching of water and heat is poor. Notably, the large water body of Qinghai Lake has an obvious regulating effect on the local temperature in the area surrounding the lake and serves as the climate regulator of the Qinghai Lake Basin.

Key words: temperature, precipitation, spatial autocorrelation analysis, Qinghai Lake Basin