Influence of large-scale climate indices and regional meteorological elements on drought characteristics in the Luanhe River Basin

被引:2
|
作者
Li, Min [1 ,2 ]
Feng, Zilong [1 ]
Zhang, Mingfeng [1 ]
Yao, Yuhang [1 ]
机构
[1] Yangzhou Univ, Coll Hydraul Sci & Engn, Yangzhou 225000, Peoples R China
[2] Minist Water Resources, Key Lab Flood & Drought Disaster Def, Nanjing 210029, Peoples R China
关键词
GAMLSS framework; Drought development; Drought recovery; Drought propagation; Luanhe River basin; PROPAGATION; RISK;
D O I
10.1016/j.atmosres.2024.107219
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
Frequent drought disasters have significant impacts on socio-economic and ecosystems, and it is crucial to explore the propagation characteristics of drought for disaster prevention and mitigation. In this paper, based on 0.25(degrees) x 0.25(degrees) grid-point Meteorological hydrological and large-scale climate factor data, the start-to-start, peakto-peak, and end-to-end drought propagation times, and the periods and rates of drought development and recovery were estimated for 11 regions in the Luanhe River Basin under stationary and non-stationary conditions. The Generalized Additive Model for Location, Scale and Shape (GAMLSS) framework was used to construct stationary and non-stationary models to capture the stationary and non-stationary drought characteristics respectively, and then the drought development and recovery patterns, and drought propagation times were assessed. The results showed that under the influence of climate factors, severe drought events occurred in most study areas, the duration of meteorological drought was prolonged by 0.1-0.6 months, and the peak intensity was increased by about 0.05. The severity of hydrological drought increased by 0.2-0.8, and the peak intensity decreased by 0.1-0.2. The rate of development and recovery of hydrological drought was accelerated by 0.1-0.2 per month. The propagation time of start-to-start was shortened by 0.2 months, and the propagation time of endto-end was extended by 1-2 months. These mean that water resource control authorities need to propose responses to droughts more quickly.
引用
收藏
页数:16
相关论文
共 50 条
  • [1] Impact of Large-Scale Climate Indices on Meteorological Drought of Coastal Ghana
    Addi, Martin
    Asare, Kofi
    Fosuhene, Samuel Kofi
    Ansah-Narh, Theophilus
    Aidoo, Kenneth
    Botchway, Comfort Gyasiwaa
    ADVANCES IN METEOROLOGY, 2021, 2021
  • [2] Effects of large-scale climate patterns and human activities on hydrological drought: a case study in the Luanhe River basin, China
    Yixuan Wang
    Jianzhu Li
    Ping Feng
    Fulong Chen
    Natural Hazards, 2015, 76 : 1687 - 1710
  • [3] Characteristics and risk analysis of drought propagation from meteorological drought to hydrological drought in Luanhe River Basin
    Zhang X.
    Xu Y.
    Hao F.
    Hao Z.
    Shuili Xuebao/Journal of Hydraulic Engineering, 2022, 53 (02): : 165 - 175
  • [4] Effects of large-scale climate patterns and human activities on hydrological drought: a case study in the Luanhe River basin, China
    Wang, Yixuan
    Li, Jianzhu
    Feng, Ping
    Chen, Fulong
    NATURAL HAZARDS, 2015, 76 (03) : 1687 - 1710
  • [5] Drought forecasting in Luanhe River basin involving climatic indices
    Ren, Weinan
    Wang, Yixuan
    Li, Jianzhu
    Feng, Ping
    Smith, Ronald J.
    THEORETICAL AND APPLIED CLIMATOLOGY, 2017, 130 (3-4) : 1133 - 1148
  • [6] Drought forecasting in Luanhe River basin involving climatic indices
    Weinan Ren
    Yixuan Wang
    Jianzhu Li
    Ping Feng
    Ronald J. Smith
    Theoretical and Applied Climatology, 2017, 130 : 1133 - 1148
  • [7] Hydrological drought dynamics and its teleconnections with large-scale climate indices in the Xijiang River basin, South China
    Qingxia Lin
    Zhiyong Wu
    Jingjing Liu
    Vijay P. Singh
    Zheng Zuo
    Theoretical and Applied Climatology, 2022, 150 : 229 - 249
  • [8] Hydrological drought dynamics and its teleconnections with large-scale climate indices in the Xijiang River basin, South China
    Lin, Qingxia
    Wu, Zhiyong
    Liu, Jingjing
    Singh, Vijay P.
    Zuo, Zheng
    THEORETICAL AND APPLIED CLIMATOLOGY, 2022, 150 (1-2) : 229 - 249
  • [9] Deep hybridnet for drought prediction based on large-scale climate indices and local meteorological conditions
    Wan, Wuyi
    Zhou, Yu
    STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT, 2024,
  • [10] A study on copula-based bivariate and trivariate drought assessment in Godavari River basin and the teleconnection of drought with large-scale climate indices
    Dixit, Soumyashree
    Jayakumar, K., V
    THEORETICAL AND APPLIED CLIMATOLOGY, 2021, 146 (3-4) : 1335 - 1353