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[1]LI Dawei,DUAN Keqin,LI Shuangshuang.Spatial and Temporal Characteristics of Climate Boundary Indicators in the Qinling Mountains and Its Implications[J].Research of Soil and Water Conservation,2022,29(05):155-163.

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Spatial and Temporal Characteristics of Climate Boundary Indicators in the Qinling Mountains and Its Implications

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 29 Number of periods: 2022 05 Page number: 155-163 Column: Public date: 2022-08-20

Title:: Spatial and Temporal Characteristics of Climate Boundary Indicators in the Qinling Mountains and Its Implications

Author(s):: LI Dawei, DUAN Keqin, LI Shuangshuang; (School of Geography and Tourism, Shaanxi Normal University, Xi'an 710119, China)

Keywords:: Qinling Mountains; climate boundary indicators; annual precipitation; temperature in January and July; trend changes

CLC:: P426.6

DOI:: -

Abstract:: The Qinling Mountains are not only a geographical-ecological transition zone between the southern and northern regions, but also an important natural, economic and agricultural zoning boundary in China. In the context of the current warming climate of the Qinling Mountains, the re-identification of the spatial and temporal patterns of climate boundary indicators is of great guidance for the scientific practice of natural zoning. In order to clarify this climate characteristic, we selected annual precipitation, January and July mean temperature indicators based on the precipitation and temperature observation data from 126 meteorological stations in the Qinling Mountains from 1970 to 2020, and analyzed the spatial and temporal characteristics of annual precipitation, January and July mean temperature in the study area by using the thin disk smooth strip interpolation and trend analysis methods, and then selected the profiles of Taibai Mountain and Funiu Mountain in the Qinling Mountains to explore the climate boundary indicators. The results show that:(1)the interpolation of the thin disk smooth strips can obtain the annual precipitation and January mean temperature series with high accuracy, and the correlation coefficients are 0.712～0.919; the error analysis shows that the deviation of the July mean temperature interpolation value from the observed value is 2～3℃, the obtained preliminary correction coefficient for the mean temperature in July in the Qinling Mountains is 0.893, and after correction, the interpolation results are significantly improved(error reduction of 3～6 times);(2)spatial and temporal trends show that the eastern part of the Qinling Mountains had become warm and dry and the western part of the Qinling Mountains has become warm and wet in the last 51 years, and the northern and western parts of the Qinling Mountains had warmed significantly(p<0.05);(3)the height change of 800 mm annual precipitation was east-west reversed, and the height change of 0℃ in January and 25℃ in July was east-west same direction, and the average rate in the west was larger than that in the east, such as the height of 800 mm annual precipitation(West: -166 m/decade, East: 49 m/decade)and January 0℃ height(West: 70 m/decade, East: 37 m/decade);(4)from 1970 to 2020, the height of the climate boundary indicator in the Qinling Mountains had been rising or falling along the mountains, but in the 2010s(2010—2019), the height of the climate boundary indicator on the north slope was 800～1 400 m and on the south slope was 800～1 300 m without crossing the main ridge of the Qinling Mountains, and the climate boundary role in the Qinling Mountains still had stability.

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Last Update: 2022-08-20