气候与水文

基于SPEI的渭河流域干旱时空变化特征分析

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  • 中国科学院地理科学与资源研究所陆地水循环及地表过程院重点实验室,北京 100101; 

    中国电建集团昆明勘测设计研究院有限公司,云南 昆明 650051

    武汉大学水资源与水电工程科学国家重点实验室,湖北 武汉 430072 4 陕西师范大学地理科学与旅游学院,陕西 西安 710119

邹磊(1990-),男,博士,助理研究员,主要从事水文水资源方面研究.E-mail:zoulei@igsnrr.ac.cn

收稿日期: 2019-05-24

  修回日期: 2019-08-27

  网络出版日期: 2020-05-06

基金资助

国家自然科学基金重大项目(41890822);地质矿产调查评价项目(DD20190652)资助

Temporalspatial variation characteristics of droughtin the Weihe River Basin based on SPEI

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  • Key Laboratory of Water Cycle and Related Land Surface Processes,Institute of Geographic Sciences and Natural Resources

    Research,Chinese Academy of Sciences,Beijing 100101,China;

    Kunming Engineering Corporation Limited of Power China,Kunming 650051,Yunnan,China;

    State Key Laboratory of Water Resources and Hydropower Engineering Science,Wuhan University,Wuhan 430072,Hubei,China; 4〓School of Geography and Tourism,Shaanxi Normal University,Xi[JP8][JP]an 710119,Shaanxi,China

Received date: 2019-05-24

  Revised date: 2019-08-27

  Online published: 2020-05-06

摘要

以标准化降水蒸散指数(SPEI)作为评估指标,基于渭河流域28个气象站点19612017年实测降水量和气温数据,采用Mann-Kendall(M-K)趋势检验、经验正交函数以及小波变换等方法分析渭河流域干旱时空变化特征,并研究渭河流域干旱与6种大尺度气候因子之间的相关关系,进一步探讨主要气候因子对流域干旱时空分布特征的潜在影响。研究表明:渭河流域在19612017年间整体呈现出变旱的趋势。通过经验正交函数分解,渭河流域干旱分布场主要有3种典型模态类型,分别为全局型、西北—东南反向分布型以及东—西反向分布型;同时,大尺度气候因子南方涛动指数SOI与流域干旱分布场具有更好的相关关系,对该区域内干旱变化有较强的影响。

本文引用格式

邹磊, 余江游, 夏军, 王飞宇 .

基于SPEI的渭河流域干旱时空变化特征分析[J]. 干旱区地理, 2020 , 43(2) : 329 -338 . DOI: 10.12118/j.issn.1000-6060.2020.02.06

Abstract

The Weihe River Basin is located in the semiarid and semihumid transition region of northern China and experiences frequent drought events; therefore,study of droughts in the Weihe River Basin is of great importance.Based on the precipitation and temperature data from 28 meteorological stations,the spatial and temporal variation characteristics of dryness were analyzed by using the Mann-Kendall(M-Ktrend test,empirical orthogonal functions,and wavelet transform analysis.At the same time,the relationship between drought characteristics and six largescale climatic factors was studied,and the potential impact of the main factors on the spatial and temporal characteristics of drought was further discussed.According to the research,we obtained results showing that the Weihe River Basin exhibits a drought trend between 1961 and 2017.Particularly,after 1990,the drought degree and number of drought phenomena in the basin increased greatly and the average Standardized Precipitation Evapotranspiration Index (SPEI) decreased from 0.34 during 1961-1990 to -0.37 during 1991-2017.Empirical orthogonal function analysis shows that there are three typical modes in the wet and dry distribution field of the Weihe River Basin.The global type with corresponding modal eigenvalues of 50.43% is characterized by either drought or humidity and is the main control mode of dry distributions in the Weihe River Basin; northwest-southeast reverse distribution type with corresponding modal eigenvalues of 17.35% shows that the northwest and southeast regions have different drought characteristics; eastwest reverse distribution type with corresponding modal eigenvalues of 5.06% shows that the eastern and western regions have different drought characteristics.Finally,the research reveals that the Southern Oscillation Index (SOI),which represents ENSO events,exhibits the strongest correlation with drought distribution in the Weihe River Basin and from the perspective of phase analysis,abnormal SOI variations will generally bring more drought events to the Weihe River Basin.

参考文献

[1]高涛涛,殷淑燕,王水霞.基于[WTBX]SPEI[WTBZ]指数的秦岭南北地区干旱时空变化特征[J].干旱区地理,2018,41(4):761-770.[GAO Taotao,YIN Shuyan,WANG Shuixia.Spatial and temporal variations of drought in northern and southern regions of Qinling Mountains based on standardized precipitation evapotranspiration index[J].Arid Land Geography,2018,41(4):761-770.] [2]史本林,朱新玉,胡云川,等.基于[WTBX]SPEI[WTBZ]指数的近53 a河南省干旱时空变化特征[J].地理研究,2017,27(3):311-325.[SHI Benlin,ZHU Xinyu,HU Yunchuan,et al. Spatial and temporal variations of drought in Henan Province over a 53year period based on standardized precipitation evapotranspiration index[J].Geographical Research,2017,27(3):311-325.] [3]景朝霞,夏军,匡洋,等.基于[WTBX]CI[WTBZ]指数的渭河流域干旱时空演变特征研究[J].人民黄河,2017,39(7):86-91,95.[JING Zhaoxia,XIA Jun,KUANG Yang,et al.Spatial and temporal patterns of droughts in Weihe River Basin based on CI drought index[J].Yellow River,2017,39(7):86-91,95.] [4]孙洋洋.渭河流域气象与水文干旱时空演变特征[D].杨凌:西北农林科技大学,2018.[SUN Yangyang.Spatial and temporal evolution characteristics of meteorology and hydrological drought in Weihe River Basin[D].Yangling:Northwest A & F University,2018.] [5]王飞,王宗敏,杨海波,等.基于SPEI的黄河流域干旱时空格局研究[J].地球科学,2018,(9):49-63.[WANG Fei,WANG Zongmin,YANG Haibo,et al.Spatialtemporal pattern of drought in the Yellow River Basin based on SPEI[J].Earth Science,2018,(9):49-63.] [6]PALMER W C.Meteorological Drought Research[C]//US Department of Commerce Weather Bureau,Washington,DC,1965:45. [7]MCKEE T B,DOESKEN N J,KLEIST.The relationship of drought frequency and duration to time scales[J].Bulletin of the American Meteorological Society,1993,(58):174-184. [8]VICENTESERRANO S M,BEGUEIA S,LOPEZMORENO J I.A multi-scalar drought index sensitive to global warming:The standardized precipitation evapotranspiration index-SPEI[J].Journal of Climate,2010,23(7):1696-1718. [9]LOPEZMORENO J I,VICENTESERRANO S M,ZABALZA J,et al.Hydrological response to climate variability at different time scales:A study in the Ebro Basin[J].Journal of Hydrology,2013,477:175-188. [10]李忆平,李耀辉.气象干旱指数在中国的适应性研究进展[J].干旱气象,2017,35(5):709-723.[LI Yiping,LI Yaohui.Advances in adaptability of meteorological drought indices in China[J].Journal of Arid Meteorology,2017,35(5):709-723.] [11]张玉静,王春乙,张继权.基于[WTBX]SPEI[WTBZ]指数的华北冬麦区干旱时空分布特征分析[J].生态学报,2015,35(21):7097-7107.[ZHANG Yujing,WANG Chunyi,ZHANG Jiquan.Analysis of the spatial and temporal characteristics of drought in the north China plain based on standardized precipitation evapotranspiration index[J].Acta Ecologica Sinica,2015,35(21):7097-7107.] [12]张岳军,郝智文,王雁,等.基于SPEI和SPI指数的太原多尺度干旱特征与气候指数的关系[J].生态环境学报,2014,23(9):1418-1424.[ZHANG Yuejun,HAO Zhiwen,WANG Yan,et al.Multiscale characteristics of drought based on SPEI and SPI in association with climate index in Taiyuan[J].Ecology and Environment Sciences,2014,23(9):1418-1424.] [13]牛最荣,赵文智,刘进琪,等.甘肃渭河流域气温、降水和径流变化特征及趋势研究[J].水文,2012,32(2):78-83.[NIU Zuirong,ZHAO Wenzhi,LIU Jinqi,et al.Study on change characteristics and tendency of temperature,precipitation and runoff in Weihe River Basin in Gansu[J].Journal of China Hydrology,2012,32(2):78-83.] [14]雷江群,刘登峰,黄强.渭河流域气候变化及干湿状况时空分布分析[J].西北农林科技大学学报(自然科学版),2015,43(3):175-181.[LEI Jiangqun,LIU Dengfeng,HUANG Qiang.Climate change and spatiotemporal distribution of drywet status in Weihe River Basin[J].Journal of Northwest A & F University(Natural Science Edition),2015,43(3):175-181.] [15]余江游,夏军,佘敦先,等.南水北调中线工程水源区与海河受水区干旱遭遇研究[J].南水北调与水利科技,2018,16(1):63-68,194.[YU Jiangyou,XIA Jun,SHE Dunxian,et al.The analysis of encounter probability of drought between the water source area and the Hai River water receiving area in the middle route of the SouthtoNorth Water Transfer Project in China[J].South-to-North Water Transfers and Water Science & Technology,2018,16(1):63-68,194.] [16]曹启桓,钟向宁,刘远.韩江流域可能蒸散发的模型估算对比[J].北京农业,2012,(9):152-153.[CAO Qihuan,ZHONG Xiangning,LIU Yuan.Hanjiang River Basin evapotranspiration model for estimating contrast may[J].Beijing Agriculture,2012,(9):152-153.] [17]苏宏新,李广起.基于SPEI的北京低频干旱与气候指数关系[J].生态学报,2012,32(17):5467-5475.[SU Hongxin,LI Guangqi.Low-frequency drought variability based on SPEI in association with climate indices in Beijing[J].Acta Ecologica Sinica,2012,32(17):5467-5475.] [18]WILCOX R R.A note on the Theil-Sen regression estimator when the regressor is random and the error term is heteroscedastic[J].Biometrical Journal,1998,40(3):261-268. [19]褚健婷,夏军,许崇育,等.海河流域气象和水文降水资料对比分析及时空变异[J].地理学报,2009,64(9):1083-1092.[CHU Jianting,XIA Jun,XU Chongyu,et al.Comparison and spatial-temporal variability of daily precipitation data of weather stations and rain gauges in Haihe River Basin[J].Acta Ecologica Sinica,2009,64(9):1083-1092.] [20]YUE S,PILON P,PHINNEY B,et al.The influence of autocorrelation on the ability to detect trend in hydrological series[J].Hydrol Process,2002,16:1807-1829. [21]赵嘉阳,王文辉,靳全锋,等.基于EOF的福建省降水量时空变化特征分析[J].重庆理工大学学报(自然科学),2017,31(2):73-79.[ZHAO Jiayang,WANG Wenhui,JIN Quanfeng,et al.Analyzing spatial and temporal distributions of precipitation in Fujian Province using empirical orthogonal function[J].Journal of Chongqing Institute of Technology,2017,31(2):73-79.] [22]杜佳,宋令勇,何兴军.陕西省降水时空分布与变化特征分析[J].地下水,2012,34(6):128-131.[DU Jia,SONG Lingyong,HE Xingjun.Analysis on spatial and temporal distribution of precipitation variation in Shaanxi Province[J].Underground Water,2012,34(6):128-131.] [23]LI Q,LIU X,ZHANG H,et al.Detecting and adjusting temporal inhomogeneity in Chinese mean surface air temperature data[J].Advances in Atmospheric Sciences,2004,21(2):260-268. [24]TORRENCE C,COMPO G P.A practical guide to wavelet analysis[J].Bulletin of the American Meteorological Society,1998,79:61-78. [25]TAM X,GAN T Y,SHAO D.Wavelet analysis of precipitation extremes over Canadian ecoregions and teleconnections to large-scale climate anomalies[J].Journal of Geophysical Research:Atmospheres,2016,121(24):14469-14486. [26]王霞,吴加学.基于小波变换的西、北江水沙关系特征分析[J].热带海洋学报,2009,(1):21-28.[WANG Xia,WU Jiaxue.Wavelet analyses of rating curves in Xijiang and Beijiang Rivers[J].Journal of Tropical Oceanography,2009,(1):21-28.] [27]GRINSTED A,MOORE J C,JEVREJEVA S.Application of the cross wavelet transform and wavelet coherence to geophysical time series[J].Nonlinear Proc Geoph,2004,11:561-566. [28]LIN Q,WU Z,SINGH V P,et al.Correlation between hydrological drought,climatic factors,reservoir operation,and vegetation cover in the Xijiang Basin,South China[J].Journal of Hydrology,2017,549:512-524. [29]邵骏.基于交叉小波变换的水文多尺度相关分析[J].水力发电学报,2013,32(2):22-26,42.[SHAO Jun.Multi-scale correlation analysis of hydrological time series based on cross wavelet transform[J].Journal of Hydroelectric Engineering,2013,32(2):22-26,42.]
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