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Watershed Planning within a Quantitative Scenario Analysis Framework

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Integrating connectivity theory within watershed modelling part II: Application and evaluating structural and

D T Mahoney¹, J Fox¹, N Al-Aamery¹

¹Dept. of Civil Engineering, University of Kentucky, United States of America.

The Science of the Total Environment

|July 7, 2020

Summary

This study improves sediment transport prediction by integrating connectivity theory into watershed models. Coupling connectivity simulations with sediment transport formulas enhances accuracy, especially by identifying key erosion pathways.

Keywords:

Connectivity Sediment transport

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Area of Science:

Hydrology and Sedimentology
Environmental Modeling
Geomorphology

Background:

Traditional watershed models face spatial and temporal limitations in predicting sediment transport.
Connectivity theory offers a framework to address these shortcomings in sediment flux prediction.
Part II of this research builds upon previous work to refine sediment transport modeling.

Purpose of the Study:

To investigate sediment flux using a connectivity formula integrated with sediment routing.
To advance model evaluation using hysteresis analysis of sensor data for improved accuracy.
To explore the relationship between catchment connectivity and watershed-scale sediment flux.

Main Methods:

Discretized connectivity formula applied across multiple catchments, integrated via sediment routing.
Model evaluation using hysteresis indices derived from sensor data.
Analysis of sediment flux variations based on connectivity probability and sensitive pathway identification.

Main Results:

Hysteresis indices improved model statistics by nearly 100%.
Observed shifts in hysteresis loops indicate the influence of proximal sediment sources during larger events.
Sensitive pathways like ephemeral gullies and ditches disproportionately contribute to sediment yield.

Conclusions:

Coupling connectivity simulations with sediment transport formulas is crucial for accurate prediction.
The probability of connectivity alone is insufficient for predicting sediment transport.
The proposed method provides a robust approach for integrating connectivity into watershed sediment modeling.