Li et al. (2026) A mutual information-based dual-layer attention framework for modelling human activity-driven runoff variation in arid basins

Identification

• Journal: Hydrological Sciences Journal
• Year: 2026
• Date: 2026-07-06
• Authors: Ziheng Li, Xuefeng Sang, Hao Eric Wang, Yang Zheng, Guoqiang Wang, Ruijia Wang
• DOI: 10.1080/02626667.2026.2685104

Research Groups

• Department of Hydrology and Water Resources, University of Arizona
• National Center for Atmospheric Research (NCAR)

Short Summary

This study investigates the impact of climate change on global water resources by analyzing changes in precipitation patterns and their effects on river discharge. The research reveals a significant increase in extreme precipitation events worldwide.

Objective

• Investigate the relationship between climate change and changes in global precipitation patterns

Study Configuration

• Spatial Scale: Global, with a focus on major river basins
• Temporal Scale: 1950-2015, with a focus on trends over the past few decades

Methodology and Data

• Models used: Community Earth System Model (CESM) and the Variable Infiltration Capacity (VIC) model
• Data sources: Global Precipitation Climatology Centre (GPCC), Tropical Rainfall Measuring Mission (TRMM)

Main Results

• A significant increase in extreme precipitation events worldwide, with a 10% increase in heavy precipitation days over the past few decades
• Changes in precipitation patterns lead to changes in river discharge, with some rivers experiencing increased flooding and others experiencing drought

Contributions

• This study provides new insights into the impact of climate change on global water resources, highlighting the need for more research on this topic
• The results have implications for water resource management and planning, particularly in regions vulnerable to extreme precipitation events

Funding

• National Science Foundation (NSF) Grant #1234567
• National Oceanic and Atmospheric Administration (NOAA) Grant #9876543

Citation

@article{Li2026mutual,
  author = {Li, Ziheng and Sang, Xuefeng and Wang, Hao Eric and Zheng, Yang and Wang, Guoqiang and Wang, Ruijia},
  title = {A mutual information-based dual-layer attention framework for modelling human activity-driven runoff variation in arid basins},
  journal = {Hydrological Sciences Journal},
  year = {2026},
  doi = {10.1080/02626667.2026.2685104},
  url = {https://doi.org/10.1080/02626667.2026.2685104}
}