Comprehensive evaluation of hydrological drought characteristics and their relationship to meteorological droughts in the upper Tarim River Basin, central Asia

Yanyun XIANG , Yi WANG , Yaning CHEN , Qifei ZHANG , Hongwei LI

Front. Earth Sci. ›› 2022, Vol. 16 ›› Issue (4) : 890 -905.

PDF (7765KB)
Front. Earth Sci. ›› 2022, Vol. 16 ›› Issue (4) : 890 -905. DOI: 10.1007/s11707-022-0965-6
RESEARCH ARTICLE
RESEARCH ARTICLE

Comprehensive evaluation of hydrological drought characteristics and their relationship to meteorological droughts in the upper Tarim River Basin, central Asia

Author information +
History +
PDF (7765KB)

Abstract

Comprehensive evaluation of the characteristics and mechanisms of droughts is of great significance to drought risk prediction and prevention. The 3-monthly scale Standardized Runoff Index (SRI-3) and 3-monthly scale Standardized Precipitation Evapotranspiration Index (SPEI-3) were employed herein to characterize hydrological and meteorological droughts, respectively, within the four upper subbasins of the Tarim River Basin (TRB) during 1961–2015. The propagation of droughts was also evaluated. The hydrological drought duration (Dd) and drought severity (Ds) were determined by Run theory, and Copula functions were adopted to investigate the hydrological drought probabilities and return periods. The propagation relationships of hydrological and meteorological droughts were assessed. The results indicated that: 1) hydrological drought index (SRI-3) significantly increased in the TRB from 1961 to 2015; the increase was most significant in winter. Meteorological drought index (SPEI-3) exhibited a weak upward trend through time; 2) the characteristics of hydrological droughts varied between the subbasins; increases in the SRI were most significant in the Yarkand and Hotan Rivers, whereas the Dd and Ds of hydrological droughts were higher in the Kaidu and Yarkand Rivers; 3) Frank Copula was the most closely fitted Copula function in the four subbasins of the TRB and yielded average drought return periods of 4.86, 4.78, 3.72, and 5.57 years for the Kaidu, Aksu, Yarkand, and Hotan River Basins, respectively. The return periods in the four subbasins were generally less than 10 years from 1961 to 2015; 4) a cross wavelet transform (XWT) exhibited a significant positive correlation between hydrological and meteorological droughts, except for the Yarkand River Basin, which exhibited a significant negative correlation. Besides, the propagation relationship of meteorological droughts to hydrological droughts showed remarkable seasonal variations.

Keywords

hydrological drought / meteorological drought / Copula / drought propagation

Cite this article

Download citation ▾
Yanyun XIANG, Yi WANG, Yaning CHEN, Qifei ZHANG, Hongwei LI. Comprehensive evaluation of hydrological drought characteristics and their relationship to meteorological droughts in the upper Tarim River Basin, central Asia. Front. Earth Sci., 2022, 16(4): 890-905 DOI:10.1007/s11707-022-0965-6

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

Ayantobo O O, Li Y, Song S, Javed T, Yao N. ( 2018). Probabilistic modelling of drought events in China via 2-dimensional joint copula. J Hydrol (Amst), 559: 373– 391

[2]

Bloomfield J P, Marchant B P. ( 2013). Analysis of groundwater drought building on the standardized precipitation index approach. Hydrol Earth Syst Sci, 17( 12): 4769– 4787

[3]

Bushra N, Trepanier J C, Rohli R V. ( 2019). Joint probability risk modelling of storm surge and cyclone wind along the coast of Bay of Bengal using a statistical copula. Int J Climatol, 39( 11): 4206– 4217

[4]

Chen H, Chen Y, Li W, Li Z. ( 2019a). Quantifying the contributions of snow/glacier meltwater to river runoff in the Tianshan Mountains, Central Asia. Global Plan Chang, 174( MAR): 47– 57

[5]

Chen X, Li F W, Li J Z, Feng P. ( 2019b). Three-dimensional identification of hydrological drought and multivariate drought risk probability assessment in the Luanhe River Basin, China. Theor Appl Climatol, 137( 3−4): 3055– 3076

[6]

Chen Y, Li B, Li Z, Li W. ( 2016a). Water resource formation and conversion and water security in arid region of northwest China. J Geogr Sci, 26( 7): 939– 952

[7]

Chen Y, Li W, Deng H, Fang G, Li Z. ( 2016b). Corrigendum: changes in central Asia’s water tower: past, present and future. Sci Rep, 6( 1): 39364

[8]

Chen Y, Takeuchi K, Xu C, Chen Y, Xu Z. ( 2006). Regional climate change and its effects on river runoff in the Tarim Basin, China. Hydrol Processes, 20( 10): 2207– 2216

[9]

Dodangeh E, Shahedi K, Shiau J T, Mirakbari M. ( 2017). Spatial hydrological drought characteristics in Karkheh River Basin, southwest Iran using copulas. J Earth Syst Sci, 126( 6): 80

[10]

Duethmann D, Menz C, Jiang T, Vorogushyn S. ( 2016). Projections for headwater catchments of the Tarim River reveal glacier retreat and decreasing surface water availability but uncertainties are large. Environ Res Lett, 11( 5): 054024

[11]

Duethmann D, Bolch T, Farinotti D, Kriegel D, Vorogushyn S, Merz B, Pieczonka T, Jiang T, Su B, Güntner A. ( 2015). Attribution of streamflow trends in snow and glacier melt-dominated catchments of the Tarim River, central Asia. Water Resour Res, 51( 6): 4727– 4750

[12]

Fang G, Chen Y, Li Z. ( 2018). Variation in agricultural water demand and its attributions in the arid Tarim River Basin. J Agric Sci, 156( 3): 301– 311

[13]

Fernández B, Salas J D. ( 1999). Return period and risk of hydrologic events. II: applications. J Hydrol Eng, 4( 4): 308– 316

[14]

Gao X, Ye B, Zhang S, Qiao C, Zhang X. ( 2010). Glacier runoff variation and its influence on river runoff during 1961–2006 in the Tarim River Basin, China. Sci China Earth Sci, 53( 6): 880– 891

[15]

Gu L, Chen J, Yin J, Xu C Y, Chen H. ( 2020). Drought hazard transferability from meteorological to hydrological propagation. J Hydrol (Amst), 585: 124761

[16]

Gudmundsson L, Boulange J, Do H X, Gosling S N, Grillakis M G, Koutroulis A G, Leonard M, Liu J, Müller Schmied H, Papadimitriou L, Pokhrel Y, Seneviratne S I, Satoh Y, Thiery W, Westra S, Zhang X, Zhao F. ( 2021). Globally observed trends in mean and extreme river flow attributed to climate change. Science, 371( 6534): 1159– 1162

[17]

Hamed K H, Ramachandra Rao A. ( 1998). A modified Mann-Kendall trend test for autocorrelated data. J Hydrol (Amst), 204( 1−4): 182– 196

[18]

Hirsch R M, Slack J R. ( 1984). A nonparametric trend test for seasonal data with serial dependence. Water Resour Res, 20( 6): 727– 732

[19]

Huang S, Li P, Huang Q, Leng G, Hou B, Ma L. ( 2017). The propagation from meteorological to hydrological drought and its potential influence factors. J Hydrol (Amst), 547: 184– 195

[20]

Jiao Y, Yuan X. ( 2019). More severe hydrological drought events emerge at different warming levels over the Wudinghe watershed in northern China. Hydrol Earth Syst Sci, 23( 1): 621– 635

[21]

Kan B, Su F, Xu B, Xie Y, Li J, Zhang H. ( 2018). Generation of high mountain precipitation and temperature data for a quantitative assessment of flow regime in the Upper Shache Basin in the Karakoram. J Geophys Res D Atmospheres, 123( 16): 8462– 8486

[22]

Kao S, Govindaraju R S. ( 2010). A copula-based joint deficit index for droughts. J Hydrol (Amst), 380( 1−2): 121– 134

[23]

Li B Chen Y Chipman J W Shi X Chen Z( 2018). Why does the runoff in Hotan River show a slight decreased trend in northwestern China? Atmos Sci Lett, 19( 1): e800

[24]

Li J, Zhou S, Hu R. ( 2016). Hydrological drought class transition using SPI and SRI time series by loglinear regression. Water Resour Manage, 30( 2): 669– 684

[25]

Li Q, He P, He Y, Han X, Zeng T, Lu G, Wang H. ( 2020). Investigation to the relation between meteorological drought and hydrological drought in the upper Shaying River Basin using wavelet analysis. Atmos Res, 234: 104743

[26]

Li Z, Chen Y, Fang G, Li Y. ( 2017). Multivariate assessment and attribution of droughts in central Asia. Sci Rep, 7( 1): 1316

[27]

Lyu J Shen B Li H ( 2015). Dynamics of major hydro-climatic variables in the headwater catchment of the Tarim River Basin, Xinjiang, China. Quat Int, 380−381: 143− 148

[28]

Ma F, Luo L, Ye A, Duan Q. ( 2019). Drought characteristics and propagation in the semiarid Heihe River Basin in northwestern China. J Hydrometeorol, 20( 1): 59– 77

[29]

Mercado V D, Perez G C, Solomatine D, Van Lanen H J. ( 2016). Spatio-temporal analysis of hydrological drought at catchment scale using a spatially-distributed hydrological model. Procedia Eng, 154: 738– 744

[30]

Mirabbasi R, Fakheri-Fard A, Dinpashoh Y. ( 2011). Bivariate drought frequency analysis using the copula method. Theor Appl Climatol, 108( 1−2): 191– 206

[31]

Oloruntade A J, Mohammad T A, Ghazali A H, Wayayok A. ( 2017). Analysis of meteorological and hydrological droughts in the Niger-South Basin, Nigeria. Global Planet Change, 155: 225– 233

[32]

Peng J, Chen S, Dong P. ( 2010). Temporal variation of sediment load in the Yellow River Basin, China, and its impacts on the lower reaches and the river delta. Catena, 83( 2−3): 135– 147

[33]

Serinaldi F, Bonaccorso B, Cancelliere A, Grimaldi S. ( 2009). Probabilistic characterization of drought properties through copulas. Phys Chem Earth Parts ABC, 34( 10−12): 596– 605

[34]

Shukla S, Wood A W. ( 2008). Use of a standardized runoff index for characterizing hydrologic drought. Geophys Res Lett, 35( 2): L02405

[35]

Svensson C, Hannaford J, Prosdocimi I. ( 2017). Statistical distributions for monthly aggregations of precipitation and streamflow in drought indicator applications. Water Resour Res, 53( 2): 999– 1018

[36]

Tak S, Keshari A K. ( 2020). Investigating mass balance of Parvati glacier in Himalaya using satellite imagery based model. Sci Rep, 10( 1): 12211

[37]

Telesca L, Lovallo M, Lopez-Moreno I, Vicente-Serrano S. ( 2012). Investigation of scaling properties in monthly streamflow and standardized streamflow index (SSI) time series in the Ebro basin (Spain). Physica A, 391( 4): 1662– 1678

[38]

Tirivarombo S, Osupile D, Eliasson P. ( 2018). Drought monitoring and analysis: standardised precipitation evapotranspiration index (SPEI) and standardised precipitation index (SPI). Phys Chem Earth, 106: 1– 10

[39]

Torrence C, Compo G P. ( 1998). A practical guide to wavelet analysis. Bull Am Meteorol Soc, 79( 1): 61– 78

[40]

Torrence C, Webster P J. ( 1999). Interdecadal changes in the ENSO–monsoon system. J Clim, 12( 8): 2679– 2690

[41]

Trenberth K E Fasullo J T ( 2013). An apparent hiatus in global warming? Earths Futur, 1( 1): 19− 32

[42]

Vicente-Serrano S M, López-Moreno J I, Beguería S, Lorenzo-Lacruz J, Azorin-Molina C, Morán-Tejeda E. ( 2012). Accurate computation of a streamflow drought index. J Hydrol Eng, 17( 2): 318– 332

[43]

Vicente-Serrano S M Quiring S M Peña-Gallardo M Yuan S Domínguez-Castro F ( 2020). A review of environmental droughts: Increased risk under global warming? Earth Sci Rev, 201: 102953

[44]

Wang A, Wang Y, Su B, Kundzewicz Z W, Tao H, Wen S, Qin J, Gong Y, Jiang T. ( 2020a). Comparison of changing population exposure to droughts in river basins of the Tarim and the Indus. Earth Future, 8: e2019EF001448

[45]

Wang F, Wang Z, Yang H, Di D, Zhao Y, Liang Q, Hussain Z. ( 2020b). Comprehensive evaluation of hydrological drought and its relationships with meteorological drought in the Yellow River Basin, China. J Hydrol (Amst), 584: 124751

[46]

Wang H, Chen Z, Chen Y, Pan Y, Feng R. ( 2019). Identification of the space-time variability of hydrological drought in the arid region of northwestern China. Water, 11( 5): 1051

[47]

Williams A P, Seager R, Abatzoglou J T, Cook B I, Smerdon J E, Cook E R. ( 2015). Contribution of anthropogenic warming to California drought during 2012–2014. Geophys Res Lett, 42( 16): 6819– 6828

[48]

Wu R, Zhang J, Bao Y, Guo E. ( 2019). Run theory and Copula-based drought risk analysis for Songnen Grassland in northeastern China. Sustainability, 11( 21): 6032

[49]

Xiang Y, Wang Y, Chen Y, Bai Y, Zhang L, Zhang Q. ( 2020). Hydrological drought risk assessment using a multidimensional Copula function approach in arid inland basins, China. Water, 12( 7): 1888

[50]

Xu Y, Zhang X, Wang X, Hao Z, Singh V P, Hao F. ( 2019). Propagation from meteorological drought to hydrological drought under the impact of human activities: a case study in northern China. J Hydrol (Amst), 579: 124147

[51]

Zhang A, Zhang C, Fu G, Wang B, Bao Z, Zheng H. ( 2012). Assessments of impacts of climate change and human activities on runoff with SWAT for the Huifa River Basin, northeast China. Water Resour Manage, 26( 8): 2199– 2217

[52]

Zhang L, Singh V P. ( 2007). Gumbel–Hougaard Copula for trivariate rainfall frequency analysis. J Hydrol Eng, 12( 4): 409– 419

[53]

Zhang Q, Chen Y, Li Z, Fang G, Xiang Y, Li Y, Ji H. ( 2020). Recent changes in water discharge in snow and glacier melt-dominated rivers in the Tienshan Mountains, Central Asia. Remote Sens, 12( 17): 2704

[54]

Zhong F, Cheng Q, Wang P. ( 2020). Meteorological drought, hydrological drought, and NDVI in the Heihe River Basin, northwest China: evolution and propagation. Adv Meteorol, 2020: 1– 26

[55]

Zhou Z, Shi H, Fu Q, Ding Y, Li T, Wang Y, Liu S. ( 2021). Characteristics of propagation from meteorological drought to hydrological drought in the Pearl River Basin. J Geophys Res D Atmospheres, 126( 4): e2020JD033959

RIGHTS & PERMISSIONS

Higher Education Press

AI Summary AI Mindmap
PDF (7765KB)

900

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/