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[1]JING Juanli,XU Yong,WANG Yongfeng,et al.Spatiotemporal Variation Characteristics of Drought and Flood in the Southwest Karst Area from 1960 to 2019[J].Research of Soil and Water Conservation,2021,28(05):179-186.

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Spatiotemporal Variation Characteristics of Drought and Flood in the Southwest Karst Area from 1960 to 2019

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 28 Number of periods: 2021 05 Page number: 179-186 Column: Public date: 2021-08-20

Title:: Spatiotemporal Variation Characteristics of Drought and Flood in the Southwest Karst Area from 1960 to 2019

Author(s):: JING Juanli^1,2,XU Yong¹,WANG Yongfeng^1,2,DOU Shiqing¹,YIN Min^1,2; (1.College of Geomatics and Geoinformation,Guilin University of Technology,Guilin,Guangxi 541004,China; 2.Guangxi Key Laboratory of Spatial Information and Geomatics,Guilin,Guangxi 541004,China)

Keywords:: SPI; southwest karst area; trend analysis; Mann-Kendall test; Hurst index

CLC:: P426.616

DOI:: -

Abstract:: In view of frequent occurrence of drought and flood in southwest karst area,the multiscale Standard Precipitation Index(SPI)was calculated based on monthly precipitation data derived from sixty-eight meteorological stations from 1960 to 2019. The spatial and temporal variation of SPI from 1960—2019 were quantitively analyzed by using ANUSPLIN meteorological interpolation method,Sen-Median method,Mann-Kendall test,and Hurst index. Results showed that:(1)there were some differences of drought and flood levels and frequencies among SPI at different time scales,and the levels of drought and flood were mainly dominated by light and medium;(2)the annual SPI showed an insignificant declining trend and had a changing trend from waterlogging to drought; the changing trend of seasonal SPI had some differences,SPI had an insignificant decrease trend in spring and autumn(p>0.05),but an insignificant increasing trend in summer and winter was observed(p>0.05);(3)the annual SPI presented a downward trend,spatially concentrated in Yunnan,Guizhou,Chongqing,Hubei and other regions; the spatial variation of seasonal SPI exhibited certain difference; SPI mainly showed a downward trend in spring,summer and autumn,while an upward trend was found in winter; however,the trends of most regions were not significant(p>0.05);(4)SPI with a continuous increasing accounted for 39.76% at the study area,mainly concentrated in Sichuan,Yunnan,Guangdong,Guangxi,whereas SPI with a continuous decreasing accounted for 50.33%,mainly distributed in Yunnan,Guizhou and Chongqing. The results of this study can provide the basis for regional drought and flood warning and disaster mitigation strategies making.

References:: [1] 杨涛,陆桂华,李会会,等.气候变化下水文极端事件变化预测研究进展[J].水科学进展,2011,22(2):279-286.
[2] 姚玉璧,张强,李耀辉,等.干旱灾害风险评估技术及其科学问题与展望[J].资源科学,2013,35(9):1884-1897.
[3] 翁白莎,严登华.变化环境下中国干旱综合应对措施探讨[J].资源科学,2010,32(2):309-316.
[4] 苏维词.西南岩溶山区生态系统基本特征及其调控措施研究:以贵州省为例[J].水土保持通报,2004,24(2):55-59.
[5] 郭纯青,周蕊,潘林艳.中国西南岩溶区1900—2012年旱涝灾害分析[J].水资源与水工程学报,2015,26(2):12-15.
[6] 黄荣辉,刘永,王林,等.2009年秋至2010年春我国西南地区严重干旱的成因分析[J].大气科学,2012,36(3):443-457.
[7] Sun S L,Li Q Q,Li J J,et al. Revisiting the evolution of the 2009—2011 meteorological drought over Southwest China[J]. Journal of Hydrology,2019,568:385-402.
[8] Li X,He B B,Quan X W,et al. Use of the Standardized Precipitation Evapotranspiration Index(SPEI)to Characterize the Drying Trend in Southwest China from 1982—2012[J]. Remote Sensing,2015,7(8):10917-10937.
[9] 刘小刚,冷险险,孙光照,等.基于1961—2100年SPI和SPEI的云南省干旱特征评估[J].农业机械学报,2018,49(12):243-252,306.
[10] 王东,张勃,张调风,等.1960—2011年西南地区干旱时空格局分析[J].水土保持通报,2013,33(6):152-156.
[11] Wang Z L,Li J,Lai C G,et al. Increasing drought has been observed by SPEI_pm in Southwest China during 1962—2012[J]. Theoretical and Applied Climatology,2018,133:23-38.
[12] 刘琳,徐宗学.西南地区旱涝特征及其趋势预测[J].自然资源学报,2014,29(10):1792-1801.
[13] 杨金虎,张强,王劲松,等.近60年来西南地区旱涝变化及极端和持续性特征认识[J].地理科学,2015,35(10):1333-1340.
[14] 周军红.西南岩溶地区水资源信息系统构建[J].岩土工程技术,2005,19(6):271-275.
[15] McKee T B,Doesken N J,Kleist J. The relationship of drought frequency and duration to time scales[C]//Proceedings of the 8 th Conference on Applied Climatology,1993,17(22):179-183.
[16] 周扬,李宁,吉中会,等.基于SPI指数的1981—2010年内蒙古地区干旱时空分布特征[J].自然资源学报,2013,28(10):1694-1706.
[17] Hutchinson M F,Xu T B. Anusplin Version 4.4 User Guide[R]. Http://Fennerschool.Anu.Edu.Au/Files/Anusplin44.Pdf,2013.
[18] 刘志红,杨勤科,李锐.专用气候数据空间插值软件ANUSPLIN及其应用[J].气象,2008,34(2):92-100.
[19] 朱求安,江洪,宋晓东.基于空间插值方法的中国南方酸雨时空分布格局模拟及分析[J].环境科学研究,2009,22(11):1237-1244.
[20] 李任君,高懋芳,李强,等.基于ANUSPLIN的降水空间插值方法研究[J].中国农业信息,2019,31(1):52-61.
[21] 张晓东,朱文博,张静静,等.伏牛山地森林植被物候及其对气候变化的响应[J].地理学报,2018,73(1):41-53.
[22] Burn D H,Elnur M. Detection of hydrologic trends and variability[J]. Journal of Hydrology,2002,255(1):107-122.
[23] Abdul Aziz O I,Burn D H. Trends and variability in the hydrological regime of the Mackenzie River Basin[J]. Journal of Hydrology,2006,319(1):282-294.
[24] 王桂钢,周可法,孙莉,等.近10 a新疆地区植被动态与R/S分析[J].遥感技术与应用,2010,25(1):84-90.
[25] Mandelbrot B. Statistical methodology for nonperiodic cycles:From the covariance to R/S analysis[M]//Annals of Economic and Social Measurement,Volume 1,Number 3. Nber,1972.

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Last Update: 2021-08-20