Volume 18 Issue 3
Sep.  2025
Turn off MathJax
Article Contents
Ke Zhang, Zhi-lin Li, Wu-zhi Shi, Ran Tao, Xu Yang, Yi-ming Huang. 2025: Spatiotemporal changes and interconnections between meteorological and hydrological droughts in China over past 34 years. Water Science and Engineering, 18(3): 274-287. doi: 10.1016/j.wse.2025.04.007
Citation: Ke Zhang, Zhi-lin Li, Wu-zhi Shi, Ran Tao, Xu Yang, Yi-ming Huang. 2025: Spatiotemporal changes and interconnections between meteorological and hydrological droughts in China over past 34 years. Water Science and Engineering, 18(3): 274-287. doi: 10.1016/j.wse.2025.04.007

Spatiotemporal changes and interconnections between meteorological and hydrological droughts in China over past 34 years

doi: 10.1016/j.wse.2025.04.007
Funds:

This work was supported by the National Key Research and Development Program of China (Grant No. 2023YFC3006505), the Fundamental Research Funds for the Central Universities of China (Grant No. B240203007), and the National Key Laboratory of Water Disaster Prevention (Grant No. 524015222).

  • Received Date: 2024-06-19
  • Accepted Date: 2025-03-29
  • Available Online: 2025-10-15
  • Understanding the evolution and lag effects of droughts is critical to effective drought warning and water resources management. However, due to limited hydrological data, few studies have examined hydrological droughts and their lag time from meteorological droughts at a daily scale. In this study, precipitation data were collected to calculate the standardized precipitation index (SPI), and runoff data simulated by the variable infiltration capacity (VIC) model were utilized to compute the standardized runoff index (SRI). The three-threshold run theory was used to identify drought characteristics in China. These drought characteristics were utilized to investigate spatiotemporal variations, seasonal trends, and temporal changes in areas affected by meteorological and hydrological droughts. Additionally, the interconnections and lag effects between meteorological and hydrological droughts were explored. The results indicated that (1) drought occurred during approximately 28% of the past 34 years in China; (2) drought conditions tended to worsen in autumn and weaken in winter; (3) drought-affected areas shifted from northwest to northeast and finally to southern China; and (4) the correlation between meteorological and hydrological droughts was lower in the northwest and higher in the southeast, with all correlation coefficients exceeding 0.7. The lag times between meteorological and hydrological droughts were longest (5 d) in the Yangtze River, Yellow River, and Hai River basins, and shortest (0 d) in the Tarim River Basin. This study provides a scientific basis for effective early warning of droughts.

     

  • loading
  • [1]
    Alahacoon, N., Edirisinghe, M., 2022. A comprehensive assessment of remote sensing and traditional based drought monitoring indices at global and regional scale. Geomat. Nat. Hazards Risk 13(1), 762-799. https://doi.org/10.1080/19475705.2022.2044394.
    [2]
    Bao, H.J., Wang, L.L., Zhang, K., Li, Z.J., 2017. Application of a developed distributed hydrological model based on the mixed runoff generation model and 2D kinematic wave flow routing model for better flood fore-casting. Atmos. Sci. Lett. 18(7), 284-293. https://doi.org/10.1002/asl.754.
    [3]
    Bao, Z.X., Zhang, J.Y., Yan, X.L., Wang, G.Q., He, R.M., Guan, T.S., Liu, Y.L., 2021. Quantitative assessment of the attribution of runoff change caused by four factors in the Haihe River basin. Adv. Water Sci. 32(2), 171-181 (in Chinese). https://doi.org/10.14042/j.cnki.32.1309.2021.02.002.
    [4]
    Cao, Y., Zhang, K., Li, Z.J., Zhang, W.J., Zhang, J., 2021. Study on spatio-temporal variability and changes of key water cycle elements in the Three River source area of Ningxia from 2000 to 2017. J. China Hydrol. 41(3), 88-94 (in Chinese). https://doi.org/10.19797/j.cnki.1000-0852.20200331.
    [5]
    Chao, L.J., Zhang, K., Li, Z.J., Wang, J.F., Yao, C., Li, Q.L., 2019. Applicability assessment of the CASCade Two Dimensional SEDiment (CASC2D-SED) distributed hydrological model for flood forecasting across four typical medium and small watersheds in China. J. Flood Risk Manage. 12(S1), e12518. https://doi.org/10.1111/jfr3.12518.
    [6]
    Cheng, Y.J., Zhang, K., Chao, L.J., Shi, W.Z., Feng, J., Li, Y.P., 2023. A comprehensive drought index based on remote sensing data and nested copulas for monitoring meteorological and agroecological droughts: A case study on the Qinghai-Tibet Plateau. Environ. Model. Software 161, 105629. https://doi.org/10.1016/j.envsoft.2023.105629.
    [7]
    Compilation group of China Flood and Drought Disaster Prevention Bulletin, 2022. Summary of China flood and drought disaster prevention Bulletin 2021. China Flood Drought Manage. 32(9), 38-45 (in Chinese). https://doi.org/10.16867/j.issn.1673-9264.2022362.
    [8]
    Dai, Y.J., Wei, S.G., Duan, Q.Y., Liu, B.Y., Niu, G.Y., 2013. Development of a China dataset of soil hydraulic parameters using pedotransfer functions for land surface modeling. J. Hydrometeorol. 14(3), 869-887. https://doi.org/10.1175/JHM-D-12-0149.1.
    [9]
    Ezaz, G.T., Zhang, K., Li, X., Shalehy, M.H., Mohammad, A., Liu, L.X., 2022. Spatiotemporal changes of precipitation extremes in Bangladesh during 1987-2017 and their connections with climate changes, climate oscillations, and monsoon dynamics. Global Planet. Change 208, 103712. https://doi.org/10.1016/j.gloplacha.2021.103712.
    [10]
    Ge, C., Sun, P., Yao, R., Wang, Y., Chen, W., Bian, Y., Zhang, Q., 2024. Characteristics of propagation from meteorological drought to ecological drought in China: Lag and cumulative effects. Atmos. Res. 304, 107405. https://doi.org/10.1016/j.atmosres.2024.107405.
    [11]
    Guo, X.M., Tong, S.Q., Bao, Y.H., Ren, J.Y., 2021. Spatial and temporal variation trend analysis of drought in Inner Mongolia in the past 55 years based on SPEI. Geomat. World 28(3), 42-48 (in Chinese).
    [12]
    Han, Z., 2022. Study on the Evolution Characteristics and Propagation Process of Multi-Type Drought in China. Xi’an University of Technology, Xi’an.
    [13]
    Hansen, M.C., Defries, R.S., Townshend, J., Sohlberg, R.A., 2000. Global land cover classification at 1 km spatial resolution using a classification tree approach. Int. J. Rem. Sens. 21(6-7), 1331-1364. https://doi.org/10.1080/014311600210209.
    [14]
    Haslinger, K., Koffler, D., Schner, W., Laaha, G., 2014. Exploring the link between meteorological drought and streamflow: Effects of climateecatchment interaction. Water Resour. Res. 50(3), 2468-2487. https://doi.org/10.1002/2013WR015051.
    [15]
    He, J., Yang, X.H., Li, Z., Zhang, X.J., Tang, Q.H., 2016. Spatiotemporal variations of meteorological droughts in China during 1961-2014: An investigation based on multi-threshold identification. Int. J. Disaster Risk Sci. 7(1), 63-76. https://doi.org/10.1007/s13753-016-0083-8.
    [16]
    Huang, Y., Chen, X., Ma, Y.G., 2010. Simulation and uncertainty study of runoff in the headwaters of the Tarim River. J. Desert Res. 30(5), 1234-1238 (in Chinese).
    [17]
    Iglesias, I., 2018. Spatio-temporal Kriging analysis to identify the role of wild boar in the spread of African swine fever in the Russian Federation. Spat. Stat. 28, 226-235. https://doi.org/10.1016/j.spasta.2018.07.002. Intergovernmental Panel on Climate Change (IPCC), 2021. Climate Change 2021: The Physical Science Basis. Cambridge University Press, Cambridge.
    [18]
    Jin, P., 2022. Temporal and Spatial Variation Characteristics of Drought in China and Typical Flash Drought Event Research. Zhengzhou University, Zhengzhou.
    [19]
    Kendall, M.G., 1990. Rank correlation methods. Br. J. Psychol. 25(1), 86-91. https://doi.org/10.2307/2333282.
    [20]
    Li, J.Z., Guo, Y.G., Wang, Y.X., Lu, S.L., Chen, X., 2018. Drought propagation patterns under naturalized condition using daily hydrometeorological data. Adv. Meteorol. 2018(3), 2469156. https://doi.org/10.1155/2018/2469156.
    [21]
    Li, M., Ge, C.H., Deng, Y.Y., Wang, G.W., Chai, X.R., 2020. Meteorological and agricultural drought characteristics and their relationship across the Loess Plateau. Sci. Geogr. Sin. 40(12), 2105-2114. https://doi.org/10.13249/j.cnki.sgs.2020.12.017.
    [22]
    Li, X., Zhang, K., Gu, P.R., Feng, H.T., Yin, Y.F., Chen, W., Cheng, B.C., 2021. Changes in precipitation extremes in the Yangtze River Basin during 1960-2019 and the association with global warming, ENSO, and local effects. Sci. Total Environ. 760, 144244. https://doi.org/10.1016/j.scitotenv.2020.144244.
    [23]
    Li, Z., Li, X., Zhang, D., Lin, Y.L., 2022. Copula based hydrological drought probability analysis in the Lake Dongting-catchment-Yangtze River system. J. Lake Sci. 34(4), 1319-1334 (in Chinese). https://doi.org/10.18307/2022.0423.
    [24]
    Liang, L.L., Gong, J.G., Ye, Y.T., Xu, H.Q., 2014. Method of water resources assessment in ungauged areas based on the distributed hydrological model of SWAT. J. China Inst. Water Resour. Hydropower Res. 12(1), 54-59 (in Chinese). https://doi.org/10.13244/j.cnki.jiwhr.2014.01.009.
    [25]
    Liu, C.Z., Liu, Z.Y., Xie, Z.H., 2004. Study of trends in runoff for the Haihe River Basin in recent 50 years. J. Appl. Meteorol. Sci. 15(4), 385-393.
    [26]
    Lohmann, D., Raschke, E., Nijssen, B., Lettenmaier, D.P., 1998. Regional scale hydrology: I. Formulation of the VIC-2L model coupled to a routing model. Hydrological Sciences Journal 43(1), 131-141. https://doi.org/10.1080/02626669809492107.
    [27]
    Loon, A.F.V., Huijgevoort, M.H.J.V., Lanen, H.A.J.V., 2012. Evaluation of drought propagation in an ensemble mean of large-scale hydrological models. Hydrol. Earth Syst. Sci. 16(11), 4057-4078. https://doi.org/10.5194/hess-16-4057-2012.
    [28]
    Ma, F., Luo, L.F., Ye, A.Z., Duan, Q.Y., 2019. Drought characteristics and propagation in the semiarid Heihe River Basin in northwestern China. J. Hydrometeorol. 20(1), 59-77. https://doi.org/10.1175/JHM-D-18-0129.1.
    [29]
    Mann, H.B., 1945. Nonparametric tests against trend. Econometrica 13(3), 245-259. https://doi.org/10.2307/1907187.
    [30]
    Mckee, T.B., Doesken, N.J., Kleist, J., 1993. The relationship of drought frequency and duration to time scales. In: Proceedings of the Eighth Conference on Applied Climatology. American Meteorological Society, Anaheim, pp. 17-22.
    [31]
    Mohmmed, A., Zhang, K., Kabenge, M., Keesstra, S., Cerdà, A., Reuben, M.E., Mohammed, M.A.D.T., Ali, A.A.S., 2018. Analysis of drought and vulnerability in the North Darfur region of Sudan. Land Degrad. Dev. 29(12), 4424-4438. https://doi.org/10.1002/ldr.3180.
    [32]
    Ren, L.L., Shen, H.R., Yuan, F., Zhao, C.X., Yang, X.L., Zheng, P.L., 2016. Hydrological drought characteristics in the Weihe Catchment in a changing environment. Adv. Water Sci. 27(4), 492-500 (in Chinese). https://doi.org/10.14042/j.cnki.32.1309.2016.04.002.
    [33]
    Sen, P.K., 1968. Estimates of the regression coefficient based on Kendall's tau. J. Am. Stat. Assoc. 63(324), 1379. https://doi.org/10.1080/01621459.1968.10480934.
    [34]
    Shi, P., Zhan, H.J., Qu, S.M., Feng, J., Guan, X.X., 2022. Correlation analysis of meteorological and hydrological droughts in Yellow River source region. Water Resour. Prot. 38(3), 80-86 (in Chinese).
    [35]
    Shi, P.F., Yang, T., Zhang, K., Tang, Q.H., Yu, Z.B., Zhou, X.D., 2016. Large-scale climate patterns and precipitation in an arid endorheic region: Linkage and underlying mechanism. Environ. Res. Lett. 11(4), 044006. https://doi.org/10.1088/1748-9326/11/4/044006.
    [36]
    Shi, X.Z., Yu, D.S., Warner, E.D., Pan, X.Z., Petersen, G.W., Gong, Z.G., Weindorf, D.C., 2004. Soil database of 1:1,000,000 digital soil survey and reference system of the Chinese genetic soil classification system. Soil Surv. Horiz. 45(4), 129-136. https://doi.org/10.2136/sh2004.4.0129.
    [37]
    Shukla, S., Wood, A.W., 2008. Use of a standardized runoff index for characterizing hydrologic drought. Geophys. Res. Lett. 35(2), L02405. https://doi.org/10.1029/2007GL032487. Standardization Administration of China, 2017. Specifications for Surface Meteorological Observation (GB/T 35221-2017). Standardization Administration of China, Beijing.
    [38]
    Su, X.L., Zhang, G.X., Feng, K., 2019. Progress and perspective of drought index. J. Water Resour. Archit. Eng. 17(5), 9-18 (in Chinese).
    [39]
    Sun, J.K., 2021. Analysis on drought characteristics in the Hunhe River Basin based on SRI. Pearl River 42(2), 25-30 (in Chinese).
    [40]
    Sun, L., Li, Z.J., Zhang, K., Jiang, T.T., 2020. Impacts of precipitation and topographic conditions on the model simulation in the north of China. Water Supply 21(3), 1025-1035. https://doi.org/10.2166/ws.2020.284.
    [41]
    Sun, P., Liu, R., Yao, R., Shen, H., Bian, Y., 2023. Responses of agricultural drought to meteorological drought under different climatic zones and vegetation types. J. Hydrol. 619, 129305. https://doi.org/10.1016/j.jhydrol.2023.129305.
    [42]
    Tan, C.P., Yang, J.P., Li, M., 2015. Temporal-spatial variation of drought indicated by SPI and SPEI in Ningxia Hui Autonomous Region, China. Atmosphere 6(10), 1399-1421. https://doi.org/10.3390/atmos6101399.
    [43]
    Tao, R., Zhang, K., 2020. PDSI-based analysis of characteristics and spatio-temporal changes of meteorological drought in China from 1982 to 2015. Water Resour. Prot. 36(5), 50-56 (in Chinese). https://doi.org/10.3880/j.issn.1004-6933.2020.05.008.
    [44]
    Troy, J.T., Wood, E.F., Sheffield, J., 2008. An efficient calibration method for continental-scale land surface modeling. Water Resour. Res. 44(9), W09411. https://doi.org/10.1029/2007WR006513.
    [45]
    Wang, H., He, H., Wu, Z.Y., Xu, Z.G., Zhang, Y.L., 2022. Study on the applicability of VIC model in hydrological simulation of seasonally frozen ground regions. Hubei Agric. Sci. 61(8), 35-42 (in Chinese). https://doi.org/10.14088/j.cnki.issn0439-8114.2022.08.006.
    [46]
    Wang, H.D., Huang, L.Y., Zhu, S.R., Luo, B., 2021. Intercomparison of area rainfall spatial interpolation in Sanxia Region. Water Resour. Informatization 2021(1), 26-29 (in Chinese). https://doi.org/10.19364/j.1674-9405.2021.01.006.
    [47]
    Wu, J.W., Miao, C.Y., Zheng, H.Y., Duan, Q.Y., Lei, X.H., Li, H., 2018. Meteorological and hydrological drought on the Loess Plateau, China: Evolutionary characteristics, impact, and propagation. J. Geophys. Res. Atmos. 123(20), 11569-11584. https://doi.org/10.1029/2018JD029145.
    [48]
    Xu, X.Y., Xu, K., Yang, D.W., Li, J.Q., 2019. Drought identification and drought frequency analysis based on multiple variables. Adv. Water Sci. 30(3), 373-381 (in Chinese). https://doi.org/10.14042/j.cnki.32.1309.2019.03.007.
    [49]
    Yu, M.X., Li, Q.F., Hayes, M.J., Svoboda, M.D., Heim, R.R., 2014. Are droughts becoming more frequent or severe in China based on the standardized precipitation evapotranspiration index: 1951-2010. Int. J. Climatol. 34(3), 545-558. https://doi.org/10.1002/joc.3701.
    [50]
    Yuan, W.P., Zhou, G.S., 2004. Comparison between standardized precipitation index and Z-index in China. Chin. J. Plant Ecol. 28(4), 523-529. https://doi.org/10.17521/cjpe.2004.0071.
    [51]
    Zeng, H.N., Gu, H.H., Yu, Z.B., Tian, D., 2021. Study on the applicability of TRMM satellite precipitation data based on distributed hydrological models in the headwaters of Yellow River Basin. Yellow River 43(2), 17-21 (in Chinese).
    [52]
    Zhang, B.K., 1934. The division of the four seasons in China. Acta Geogr. Sin. 1(1), 29-74.
    [53]
    Zhang, L., He, Z.H., Yang, M.K., You, M., Pi, G.N., 2022a. Characteristics of meteorological droughtehydrological drought propagation process and its influencing factors: Taking Guizhou Qianzhong water conservancy project area as an example. J. Soil Water Conserv. 36(1), 142-152 (in Chinese). https://doi.org/10.13870/j.cnki.stbcxb.2022.01.020.
    [54]
    Zhang, X., Xu, Y., Hao, F.H., Hao, Z.C., 2022b. Characteristics and risk analysis of drought propagation from meteorological drought to hydro-logical drought in Luanhe River Basin. J. Hydraul. Eng. 53(2), 165-175 (in Chinese). https://doi.org/10.13243/j.cnki.slxb.20210477.
    [55]
    Zhou, L., Chi, Y.G., Li, Y., 2019. A multi-index evaluation of drought characteristics in China from 2001 to 2010. J. Zhejiang Normal Univ. (Nat. Sci.) 42(4), 448-455 (in Chinese). https://doi.org/10.16218/j.issn.1001-5051.2019.04.014.
    [56]
    Zhu, N., 2020. Comprehensive Assessment of Drought in the Tarim River Basin Based on GLDAS and GRACE Data. East China Normal University, Shanghai.
    [57]
    Zuo, D.P., Han, Y.N., Xu, Z.X., Li, P.J., Ban, C.G., Sun, W.C., Pang, B., Peng, D.Z., Kan, G.Y., Zhang, R., Yang, H., 2021. Time-lag effects of climatic change and drought on vegetation dynamics in an alpine river basin of the Tibet Plateau, China. J. Hydrol. 600, 126532. https://doi.org/10.1016/j.jhydrol.2021.126532.
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(2)

    Article Metrics

    Article views (11) PDF downloads(0) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return