2025 CSDMS meeting-125
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Hierarchical Link Length Distribution Controls Dynamic Connectivity Across Channel Networks
Dnyanesh Borse,
University of Central Florida Oviedo Florida, United States. dnyaneshvijay.borse@ucf.edu
Arvind Singh, University of Central Florida Orlando Florida, United States. arvind.singh@ucf.edu
Juthika Roy, University of central Florida Orlando Florida, United States. juthika.roy@ucf.edu
Understanding how channel geometry influences dynamic connectivity in river networks is crucial for predicting environmental flux transport. Here, we investigate the impact of channel link-lengths on the dynamic connectivity time (ΔT) that describes difference between time periods when network is connected by structural extent (DCs) and network connectivity based on total flux aggregation (DCT). We show that the observed exponential link-lengths distribution such that link-lengths decreases with increasing stream order impacts the ΔT. Additionally, these hierarchical variation in link lengths is more evident in humid channels compared to dry channels.
We explicitly analyze the role of this hierarchy in determining ΔT by comparing geometrically derived ΔT_geom (using actual link lengths) and with topologically derived ΔT_topo (assuming uniform link lengths), we find that ΔT_geom is consistently lower than ΔT_topo. The difference between ΔT_geom and ΔT_topo is more evident in humid basins compared to dry. Furthermore, when link lengths are randomized, ΔT_geom converges to ΔT_topo, highlighting the dominant influence of channel geometry on connectivity.
Our findings highlight that the hierarchical distribution of link lengths governs dynamic connectivity time, with humid channels exhibiting more efficient connectivity than dry channels and emphasize the significant role of channel geometry in flux aggregation and transport dynamics.
