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[1]YANG Bo,ZHANG Bo,AN Mei-Ling,et al.Spatiotemporal Characteristics of Precipitation Extremes in the Qinba Mountains Region during 1961-2011[J].Research of Soil and Water Conservation,2014,21(01):110-116.

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Spatiotemporal Characteristics of Precipitation Extremes in the Qinba Mountains Region during 1961-2011

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 21 Number of periods: 2014 01 Page number: 110-116 Column: Public date: 2014-02-28

Title:: Spatiotemporal Characteristics of Precipitation Extremes in the Qinba Mountains Region during 1961-2011

Author(s):: YANG Bo, ZHANG Bo, AN Mei-Ling, ZHANG Tiao-Feng; College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, China

Keywords:: Qinba Mountains; extreme precipitation; temporal and spatial variation; Morlet wavelet analysis

CLC:: P426.6

DOI:: -

Abstract:: The Qinba Mountains covering the southeastern part of Gansu province, southern part of Shaanxi and partial Sichuan was considered. The present study focused on the analysis of the spatiotemporal characteristics in daily extreme precipitations indices at a regional scale over 51 years (1961—2011), while the index threshold is defined at 95th percentile and the linear least square method, Morlet wavelet analysis was used for the analysis. The distribution of extremely wet days in the area is regular and frequencies in western stations are more than eastern stations and southern stations are more than the northern those calculated for. Positive slopes were found in middle and eastern part of the Qinba Mountains in case of extremely wet days while the western part presented a positive slope, also, the positive slopes were detected in the whole region on an average level but all of the calculated slopes of extremely wet days are statistically insignificant. By Morlet wavelet and wavelet variance analysis, similar to the quasi periodic Qinba mountain area, around 32 a oscillation is strongest, as first quasi cycle. In addition, the extreme precipitation events in this area may be influenced more by southwest monsoon.

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