近65年桂林市降雨侵蚀力变化特征与周期演化
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摘要
采用Sen’s斜率估计法、Mann-Kendal趋势分析法、M-K突变检验法和Morlet小波变换对1951—2015年桂林市降雨侵蚀力进行特征分析、趋势估计、突变检验和周期分析。结果表明:近65年桂林市降雨侵蚀力呈不显著增大趋势,年际变差系数为0. 19,为中等程度变异; 20世纪90年代侵蚀力最强,80年代侵蚀力最小;年降雨侵蚀力自1968年以后呈增大趋势,分别在1968、2002和2015年发生了三次突变;雨季侵蚀力控制着年降雨侵蚀力的趋势;降雨侵蚀力存在34 a、56 a、12 a和3 a左右的周期。
In this study,Sen's slope estimation method,Mann-Kendal trend analysis method,M-K catastrophe test method and Morlet wavelet transform were used to analyze the characteristics,trend estimation,MK catastrophe test and periodic analysis of rainfall erosivity in Guilin from 1951 to 2015.The results show that the rainfall erosivity in Guilin has not increased significantly in the past 65 years,and the annual variation coefficient is 0. 19,which is a moderate variation. The erosivity in 1990 s is the strongest,and the erosivity in 1980 s is the smallest. The annual rainfall erosivity has increased since 1968,with three abrupt changes in 1968,2002 and 2015. The annual rainfall erosivity is controlled by the erosivity in the rainy season. The annual rainfall erosivity has a period of 34 a,56 a,12 a and 3 a.
In this study,Sen's slope estimation method,Mann-Kendal trend analysis method,M-K catastrophe test method and Morlet wavelet transform were used to analyze the characteristics,trend estimation,MK catastrophe test and periodic analysis of rainfall erosivity in Guilin from 1951 to 2015.The results show that the rainfall erosivity in Guilin has not increased significantly in the past 65 years,and the annual variation coefficient is 0. 19,which is a moderate variation. The erosivity in 1990 s is the strongest,and the erosivity in 1980 s is the smallest. The annual rainfall erosivity has increased since 1968,with three abrupt changes in 1968,2002 and 2015. The annual rainfall erosivity is controlled by the erosivity in the rainy season. The annual rainfall erosivity has a period of 34 a,56 a,12 a and 3 a.
引文
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[2]犹珀玉,兰安军,刘发勇,等.喀斯特山区土壤侵蚀危险性评价研究:以贵州省罗甸县为例[J].贵州师范大学学报(自然科学版),2014,32(3):22-27.
[3]陈见影,来凤兵,常占怀.渭北旱塬垃圾堆积降雨侵蚀试验研究[J].水土保持通报,2016,36(4):216-219.
[4] PANAGOS P,BORRELLI P,POESEN J,et al. The new assessment of soil loss by water erosion in Europe[J]. Environmental Science&Policy,2015,54(11):438-447.
[5] FISTIKOGLU O,HARMANCIOGLU N B. Integration of GIS with USLE in assessment of soil erosion[J]. Water Resources Management,2002,16(6):447-467.
[6]ANGIMA S D,STOTT D E,O'NEILlM K,et al. Soil erosion prediction using RUSLE for central Kenyan highland conditions[J]. Agriculture Ecosystems&Environment,2003,97(1):295-308.
[7] SADEGHI S H R,MIZUYAMA T,MIYATA S,et al. Is MUSLE apt to small steeply reforested watershed?[J].Journal of Forest Research,2007,12(4):270-277.
[8]周伏建,黄炎和.福建省降雨侵蚀力指标R值[J].水土保持学报,1995,9(1):13-18.
[9]吴素业.安徽大别山区降雨侵蚀力指标的研究[J].中国水土保持,1992(2):32-33.
[10]章文波,谢云,刘宝元.利用日雨量计算降雨侵蚀力的方法研究[J].地理科学,2002,22(6):705-711.
[11]宫冰.辽宁省降雨侵蚀力计算方法及空间分布特征研究[J].中国水土保持,2017(5):38-40.
[12]汪明冲,张新长,王兮之,等.粤北岩溶区连江流域降雨侵蚀力[J].热带地理,2016,36(3):495-502.
[13]张永祥,蔡德所,唐迎春.桂林市青狮潭水库消落带土壤侵蚀及其生态修复[J].广西师范大学学报(自然科学版),2012,30(4):152-155.
[14]HANELL M,PAVLAVLASKOVA A,KYSELY J. Trends in characteristics of sub-daily heavy precipitation and rainfall erosivity in the Czech Republic[J]. International Journal of Climatology,2016,36(4):1833-1845.
[15]蔡卓杰,卢远,谢坤坚.广西人类活动对土壤侵蚀的影响[J].中国水土保持,2017(2):51-53.
[16]翠漫.广西西江流域土壤侵蚀估算及特征分析[J].水土保持研究,2018,25(2):34-39.
[17]陈世发. ENSO对韶关市1951—2013年降雨侵蚀力影响研究[J].地理科学,2016(10):1573-1580.
[18]王安琪,高玉琴,蔡涛.大凌河流域朝阳地区1955—2014年降水趋势变化及突变分析[J].水文,2017,37(5):92-96.
[19]孙思宇,梁秀娟,肖长来,等.基于小波分析的吉林市降水量周期规律研究[J].节水灌溉,2017(10):56-60.
[20]张代青,梅亚东,杨娜,等.中国大陆54年降水量变化规律的小波分析[J].武汉大学学报(工学版),2010,43(3):278-282.