东江流域气象干旱向水文干旱传递阈值研究

doi:10.3969/j.issn.1001-9235.2021.07.002

人民珠江 ›› 2021, Vol. 42 ›› Issue (7): 9-16.doi: 10.3969/j.issn.1001-9235.2021.07.002

东江流域气象干旱向水文干旱传递阈值研究

莫晓梅¹, 涂新军^1,2,3*, 王天¹, 谢育廷¹, 赵国羊¹

1.中山大学土木工程学院水资源与环境研究中心,广东广州 510275;
2.广东省华南地区水安全调控工程技术研究中心, 广东广州 510275;
3.南方海洋科学与工程广东省实验室,广东珠海 519000

收稿日期:2021-01-02 出版日期:2021-07-25 发布日期:2021-07-21
通讯作者: 涂新军,男,主要从事水文水资源研究。E-mail:eestxj@mail.sysu.edu.cn
作者简介:莫晓梅,女,主要从事水文水资源研究。E-mail:moxm@mail2.sysu.edu.cn
基金资助:
国家自然科学基金(51879288、41771008);广东省水利科技创新项目(2020-27)

Study on the Transfer Threshold from Meteorological to Hydrological Drought in Dongjiang River Basin

MO Xiaomei¹, TU Xinjun^1,2,3*, WANG Tian¹, XIE Yuting¹, ZHAO Guoyang¹

1. Center of Water Resource and Environment,School of Civil Engineering,Sun Yat-Sen University,Guangzhou 510275,China;
2. Center of Water Security Engineering and Technology of Guangdong Province in Southern China,Guangzhou 510275,China;
3. Southern Marine Science and Engineering Guangdong Laboratory,Zhuhai 519000,China

Received:2021-01-02 Online:2021-07-25 Published:2021-07-21

摘要/Abstract

摘要： 对不同干旱类型之间传递阈值研究可有效分析干旱传递的发生规律和机理,特别是对气象干旱向水文干旱传递阈值的研究。以东江流域为研究对象,计算月尺度的标准化降水指数SPI和标准化径流指数SRI,并基于游程理论识别干旱事件,提取干旱事件及其特征,包括干旱历时和干旱烈度。对发生时间全部或部分重叠的气象干旱事件和水文干旱事件进行匹配。对匹配后的干旱特征属性进行边缘分布拟合,验证气象干旱和水文干旱的历时或烈度之间的相关性,基于二变量Copula函数分别建立气象干旱与水文干旱特征的联合分布模型,计算不同气象干旱条件下不同等级水文干旱(中旱、重旱、极旱)发生的条件概率,取条件概率为0.95时对应的气象干旱历时或烈度值,作为气象干旱向该等级水文干旱传递的干旱历时(烈度)阈值。结果表明:东江流域气象干旱历时和烈度的最优拟合函数均为伽玛分布,水文干旱历时的最优拟合函数为伽玛分布,水文干旱烈度的边缘分布函数为广义正态分布。Gumbel-copula函数拟合干旱历时和烈度的效果较好。东江流域中旱、重旱、极旱等级的干旱历时传递阈值分别为6.9、8.3、9.4个月;干旱烈度的传递阈值分别为4.6、5.7、6.6。干旱传递阈值可以为水文干旱的预测以及防旱减灾的决策提供参考。

关键词: 干旱传递, 阈值, Copula函数, 气象干旱, 水文干旱, 东江流域

Abstract: The study on transfer threshold between different drought types can effectively analyze the occurrence law and mechanism of drought transfer,especially the study on transfer threshold from meteorological drought to hydrological drought.Taking the Dongjiang River Basin as the research object,this paper calculates the standardized precipitation index (SPI) and the standardized runoff index (SRI) at month scale,identifies and extracts the drought events and their characteristics,including drought duration and drought severity based on the run theory,matches the meteorological drought events and hydrological drought events that occur at the fully or partially same time,fits the edge distribution of the matched drought characteristic attributes to verify the correlation between the duration or severity of meteorological and hydrological droughts,establishes the joint distribution models of meteorological drought and hydrological drought based on two-variable Copula function,calculates the conditional probability of different grades of hydrological drought (moderate drought,severe drought and extreme drought) under different meteorological drought conditions,and takes the drought duration or severity value corresponding to the conditional probability of 0.95 as the drought duration or severity threshold for the transfer of meteorological drought to the hydrological drought of this grade.The results show that:The optimal fit functions of meteorological drought duration and severity in the Dongjiang River Basin were gamma distribution.The optimal fit function of hydrological drought duration is gamma distribution,and the marginal distribution function of hydrological drought severity was generalized normal distribution.The drought duration and severity were better when fitting by the Gumbel-copula function.The thresholds of drought duration of middle,severe and extreme drought grades in Dongjiang River basin were 6.9 months,8.3 months,9.4 months,respectively.While the thresholds of drought severity were 4.6,5.7 and 6.6,respectively.Drought transfer threshold can provide reference for hydrological drought prediction and government decision-making of drought prevention and mitigation.

Key words: drought transfer, threshold, Copula function, meteorological drought, hydrological drought, Dongjiang River Basin

中图分类号:

P426.616

莫晓梅, 涂新军, 王天, 谢育廷, 赵国羊. 东江流域气象干旱向水文干旱传递阈值研究[J]. 人民珠江, 2021, 42(7): 9-16.

MO Xiaomei, TU Xinjun, WANG Tian, XIE Yuting, ZHAO Guoyang. Study on the Transfer Threshold from Meteorological to Hydrological Drought in Dongjiang River Basin[J]. Pearl River, 2021, 42(7): 9-16.

参考文献

[1]张强.华北地区干旱指数的确定及其应用[J].灾害学,1998(4):3-5.
[2]刘佳.农业干旱遥感监测及其应用[J].城市与减灾,2018(6):47-51.
[3]马明卫,宋松柏.椭圆型Copulas函数在西安站干旱特征分析中的应用[J].水文,2010,30(4):36-42.
[4]王维第.水文干旱研究的进展和展望[J].水文,1993 (5):61-65.
[5]何娇楠.云南省干旱灾害风险评估与区划[D].昆明:云南大学,2016.
[6]王玲玲,康玲玲,王云璋.气象、水文干旱指数计算方法研究概述[J].水资源与水工程学报,2004,15(3):15-18.
[7]马岚.气象干旱向水文干旱传播的动态变化及其驱动力研究[D].西安:西安理工大学,2019.
[8]董前进,谢平.水文干旱研究进展[J].水文,2014,34(4):1-7.
[9]APURV T,SIVAPALAN M,CAI X.Understanding the Role of Climate Characteristics in Drought Propagation[J].Water Resources Research,2017,53(11):9304-9329.
[10]BARKER L J,HANNAFORD J,CHIVERTON A,et al.From meteorological to hydrological drought using standardised indicators[J].Hydrology and Earth System Sciences,2016,20(6):2483-2505.
[11]YANG Y,MCVICAR T R,DONOHUE R J,et al.Lags in hydrologic recovery following an extreme drought:Assessing the roles of climate and catchment characteristics[J].Water Resources Research,2017,53(6):4821-4837.
[12]张建龙,王龙,杨蕊,等.南盘江流域水文干旱对气象干旱的响应特征[J].南水北调与水利科技,2014 (3):29-32.
[13]莫文锐.持续气象干旱后城市降雨径流污染及其对河流水质的影响与治理[D].昆明:昆明理工大学,2012.
[14]刘珂,姜大膀.基于两种潜在蒸散发算法的SPEI对中国干湿变化的分析[J].大气科学,2015,39(1):23-36.
[15]曾碧球,解河海,查大伟.基于SPI和SRI的马别河流域气象与水文干旱相关性分析[J].湖北农业科学,2020(12):40-44.
[16]陈才,王振亚,程媛华,等.北方半干旱区的PDSI和SPI比较研究[J].安徽农业科学,2012,40(5):2778-2780,2856.
[17]VICENTE-SERRANO S M,LOPEZ-MORENO J I,BEGUERIA S,et al.Accurate Computation of a Streamflow Drought Index[J].Journal of Hydrologic Engineering,2012,17(2):318-332.
[18]MOHAN S,RANGACHARYA N.A modified method for drought identification[J].International Association of Entific Hydrology Bulletin,1991,36(1):11-21.
[19]WANG X F,ZHANG Y,FENG X M,et al.Analysis and application of drought characteristics based on run theory and Copula function[J].Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE),2017,33(10):206-214.
[20]TU X J,DU Y L,VIJAY P S,et al.Bivariate Design of Hydrological Droughts and Their Alterations under a Changing Environment[J/OL].Journal of Hydrologic Engineering,2019,24(6).DOI:10.1061/(ASCE)HE.1943-5584.0001788.
[21]李天水,王顺,庄文化,等.游程理论和Copula函数在二维干旱变量联合分布中的应用[J].干旱区资源与环境,2016,30(6):77-82.
[22]GUO Y,HUANG S Z,HUANG Q,et al.Propagation thresholds of meteorological drought for triggering hydrological drought at various levels[J/OL].Science of The Total Environment,2020,712.DOI:10.1016/j.scitotenv.2020.136502.
[23]周念清,李天水,刘铁刚.基于游程理论和Copula函数研究岷江流域干旱特征[J].南水北调与水利科技,2019,17(1):1-7.
[24]涂新军,杜晓霞,杜奕良,等.水文干旱多变量联合设计及水库影响评估[J].湖泊科学,2018,30(2):509-518.
[25]TU X J,DU Y L,VIJAY P S,et al.Design water demand of irrigation for a large region using a high-dimensional Gaussian copula[J].Hydrology and Earth System Sciences,2018,22(10):5175-5189.
[26]张翔,冉啟香,夏军,等.基于Copula函数的水量水质联合分布函数[J].水利学报,2011,42(4):483-489.
[27]LEE T,MODARRES R,OUARDA T B.Data-based analysis of bivariate copula tail dependence for drought duration and severity[J].Hydrological Processes,2013,27(10):1454-1463.
[28]JORDANGER L A,TJOSTHEIM D.Model selection of copulas:AIC versus a cross validation copula information criterion[J].Statistics & Probability Letters,2014,92:249-255.
[29]SHI H Y,CHEN J,WANG K Y,et al.A new method and a new index for identifying socioeconomic drought events under change:A case study of the East River basin in China[J].Science of the Total Environment,2018,616/617:363-375.
[30]GUO Y,HUANG S Z,HUANG Q,et al.Copulas-based bivariate socioeconomic drought dynamic risk assessment in a changing environment[J].Journal of Hydrology,2019,575:1052-1064.
[31]GUO Y,HUANG S Z,HUANG Q,et al.Assessing socioeconomic drought based on an improved Multivariate Standardized Reliability and Resilience Index[J].Journal of Hydrology,2018,568:904-918.

东江流域气象干旱向水文干旱传递阈值研究

Study on the Transfer Threshold from Meteorological to Hydrological Drought in Dongjiang River Basin

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