Xing et al. (2025) Propagation patterns of different degree meteorological droughts across the Yangtze River Basin: a three-dimensional drought feature identification approach with Copula modeling

Identification

• Journal: Journal of Hydrology
• Year: 2025
• Date: 2025-07-17
• Authors: Lisong Xing, Ruxin Zhao, Hongquan Sun, Zhuoyan Tan, Qingqing Fang, Ming Li, Krishnagopal Halder, Amit Kumar Srivastava
• DOI: 10.1016/j.jhydrol.2025.133857

Research Groups

• National Institute of Natural Hazards, Ministry of Emergency Management of China
• Key Laboratory of Compound and Chained Natural Hazards Dynamics, Ministry of Emergency Management of China
• Tianjin North China Geological Exploration Bureau Nuclear Industry 247 Brigade
• School of Water Resources and Hydropower Engineering, North China Electric Power University
• College of Geoscience and Surveying Engineering, China University of Mining & Technology (Beijing)
• Centre of Excellence in Disaster Mitigation and Management (CoEDMM), Indian Institute of Technology Roorkee
• Leibniz Centre for Agricultural Landscape Research (ZALF), Germany

Short Summary

The study proposes a framework combining a three-dimensional drought feature identification method and Copula modeling to quantify and analyze the spatio-temporal propagation patterns of different degrees of meteorological droughts in the Yangtze River Basin (YRB).

Objective

• To quantify different degrees of drought events by integrating drought characteristics and to analyze their spatial and temporal evolution patterns within the Yangtze River Basin.

Study Configuration

• Spatial Scale: Yangtze River Basin (YRB), China.
• Temporal Scale: 1951–2022.

Methodology and Data

• Models used: Three-dimensional drought feature identification method (longitude-latitude-time continuum identification) and Copula function.
• Data sources: Meteorological data (used to identify meteorological droughts).

Main Results

• Temporal Trends: A higher frequency of severe droughts occurred between 1951 and 1980, while extreme drought events increased primarily after the year 2000.
• Spatial Distribution: Severe and extreme droughts were concentrated in the middle reaches of the YRB, whereas moderate and light droughts were more prevalent in the Jinsha River Basin.
• Propagation Patterns: The primary propagation characteristic across different drought levels is east–west migration.
• Extreme Event Formation: Extreme droughts typically emerge from the convergence and overlapping of several smaller extreme drought events, leading to increased severity and larger affected areas.

Contributions

• Developed a novel framework that combines 3D feature identification (latitude, longitude, and time) with Copula modeling to overcome the challenges of quantifying drought degrees due to their spatial and temporal complexities.

Funding

• Not specified in the provided text.

Citation

@article{Xing2025Propagation,
  author = {Xing, Lisong and Zhao, Ruxin and Sun, Hongquan and Tan, Zhuoyan and Fang, Qingqing and Li, Ming and Halder, Krishnagopal and Srivastava, Amit Kumar},
  title = {Propagation patterns of different degree meteorological droughts across the Yangtze River Basin: a three-dimensional drought feature identification approach with Copula modeling},
  journal = {Journal of Hydrology},
  year = {2025},
  doi = {10.1016/j.jhydrol.2025.133857},
  url = {https://doi.org/10.1016/j.jhydrol.2025.133857}
}