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Multiscale Analysis of Runoff Complexity in the Yanhe Watershed
Xintong Liu1,2, Hongrui Zhao1,2
1Institute of Transportation Engineering and Geomatics, Department of Civil Engineering, Tsinghua University, Beijing 100084, China.
Entropy (Basel, Switzerland)
|August 26, 2022
Summary
Watershed runoff complexity reveals ecosystem sustainability. Analysis in China
Area of Science:
- Hydrology
- Ecosystem Sustainability
- Complexity Science
Background:
- Watershed ecosystem sustainability is often assessed using runoff complexity.
- Understanding multiscale runoff characteristics is crucial for effective watershed management.
- The Yanhe watershed in China provides a case study for analyzing runoff complexity dynamics.
Purpose of the Study:
- To explore multiscale characteristics of runoff complexity in the Yanhe watershed.
- To analyze the variation and influencing factors of runoff complexity from 1991-2020.
- To establish a novel method for assessing watershed runoff complexity.
Main Methods:
- Utilized Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN) for multiscale decomposition.
- Employed Refined Composite Multiscale Entropy (RCME) to quantify system complexity.
- Analyzed runoff data from the Yanhe watershed spanning 1991-2020.
Main Results:
- Runoff and its components exhibit multiscale complexity, deviating from random signals.
- Intermediate frequency modes were identified as the primary contributors to runoff complexity.
- A turning point in runoff complexity was observed in 2010, shifting from decline to increase.
Conclusions:
- Runoff complexity in the Yanhe watershed has shown signs of improvement since 2010.
- Ecological restoration measures, such as the "Grain for Green" project, are linked to improved sustainability.
- This research offers a new perspective on multiscale runoff analysis and watershed ecological management.
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