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Updated: Oct 4, 2025
12:44
Watershed Planning within a Quantitative Scenario Analysis Framework
Published on: July 24, 2016
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A complex network approach to study the extreme precipitation patterns in a river basin
Ankit Agarwal1, Ravi Kumar Guntu1, Abhirup Banerjee2
1Department of Hydrology, Indian Institute of Technology Roorkee, Roorkee 247667, India.
Chaos (Woodbury, N.Y.)
|February 2, 2022
Summary
Complex network analysis reveals how extreme rainfall patterns spread across the Ganga river basin. Lower elevations and seasonal precipitation timing significantly influence extreme event connectivity and spatial distribution.
Area of Science:
- Hydrology and Climate Science
- Complex Systems Analysis
- Geospatial Data Science
Background:
- Quantifying extreme precipitation events is crucial for water management and disaster preparedness.
- Traditional methods struggle with the nonlinear dynamics of extreme event time series.
- Complex network analysis offers a novel approach to understanding spatiotemporal relationships.
Purpose of the Study:
- To analyze extreme precipitation patterns in the Ganga river basin using nonlinear methods.
- To investigate the influence of seasonality and topography on extreme event dynamics.
- To identify key sites for potential prediction skills using network analysis.
Main Methods:
- Application of complex network analysis, specifically event synchronization and edit distance.
- Utilizing network degree to map spatial synchronization of extreme rainfall.
- Analyzing the impact of precipitation seasonality and topographical elevation.
Main Results:
- Network degree decreases from southwest to northwest, indicating directional synchronization patterns.
- The timing of 50th percentile precipitation influences the spatial distribution of network degree.
- Precipitation timing shows an inverse relationship with elevation, with lower elevations enhancing site connectivity.
Conclusions:
- Complex network analysis, particularly edit distance, is effective for analyzing event-like climate data.
- Understanding spatial synchronization patterns aids in predicting extreme rainfall events.
- Topography and seasonality are critical factors shaping extreme precipitation dynamics in river basins.
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