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[1]MA Yali,ZHANG Rui,SUN Dongyuan,et al.Spatiotemporal Variation and Driving Factors of Surface Wetness Index in Gansu Section of Yellow River Basin[J].Research of Soil and Water Conservation,2023,30(02):135-141.[doi:10.13869/j.cnki.rswc.2023.02.037]

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Spatiotemporal Variation and Driving Factors of Surface Wetness Index in Gansu Section of Yellow River Basin

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 30 Number of periods: 2023 02 Page number: 135-141 Column: Public date: 2023-03-10

Title:: Spatiotemporal Variation and Driving Factors of Surface Wetness Index in Gansu Section of Yellow River Basin

Author(s):: MA Yali, ZHANG Rui, SUN Dongyuan, WANG Xingfan, NIU Zuirong; (College of Water Resources and Hydropower Engineering, Gansu Agricultural University, Lanzhou 730070, China)

Keywords:: surface wetness index; driving factors; quantitative relation; sensitivity analysis; Yellow River Basin

CLC:: P426

DOI:: 10.13869/j.cnki.rswc.2023.02.037

Abstract:: In order to explore the spatiotemporal variation of land surface moisture and its driving factors under the influence of climate change, based on the data of 15 meteorological stations in Gansu section of the Yellow River Basin, the spatiotemporal variation of SWI(Surface Wetness Index)of different time scales was analyzed and studied. The relationship between meteorological factors and SWI was quantitatively researched by using the gray correlation method, the sensitivity coefficient method and contribution characteristic analysis. The results showed that: the SWI had showed a slight upward change on the whole, and the climate had changed from semi-humid to semi-arid and then sub-humid; the four seasons from wet to dry were summer, autumn, spring and winter; the main dry and wet climate types were sub-humid, sub-humid, semi-arid and arid; the change process from 1980s to 2010s was from wet to dry and then to wet; the sensitivity of meteorological factors from high to low was P(precipitation), u(wind speed), T(average temperature), T_max(daily maximum temperature), n(sunshine hours), T_min(daily minimum temperature), RH(relative humidity); the order of contribution to SWI change was T_min, P, T, T_max, u, RH and n. T_min, P, u and n promoted the increase of SWI, while T, T_max and RH promoted the decrease of SWI; the slight increase of SWI over the years had been caused by the combined effects of T_min increase, P increase, u increase, n decrease, T increase, T_max increase, and RH decrease. The changes of dry and wet conditions caused by various meteorological factors resulted in the slight increase of SWI from dry to wet in Gansu section of the Yellow River Basin.

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Last Update: 2023-03-10