We can't find the internet
Attempting to reconnect
Something went wrong!
Hang in there while we get back on track
Extended Strahler Ordering to Distinguish Mapped River Channels From Overland Flow Pathways and Consistently Compare Digital Networks
Summary
Researchers proposed an extension to standard Strahler stream ordering that assigns non-positive numbers to overland flow pathways, enabling digital river networks to consistently distinguish mapped river channels from overland flow segments. This methodological improvement supports more accurate river classification, simulation modeling, and policy-relevant freshwater analysis, including microplastic transport pathway mapping.
ABSTRACT Digital networks are virtual representations of freshwater systems that provide important inputs to, and mapping of, river classifications, simulation models, and quantitative data analyses for policy, planning, and management. Strahler order has often been used to characterize network configuration and as a proxy indicator of river channel size and distance from headwaters. We propose and demonstrate an extension to standard Strahler ordering that uses non‐positive numbers to indicate relative positions of overland flow pathways. Non‐positive extended Strahler orders are calculated by subtracting the initially calculated standard Strahler order of the most downstream overland flow segment from: (a) the initially calculated standard Strahler order calculated for that segment; and (b) the initially calculated standard Strahler order for all upstream connected overland flow segments. The original meaning of Strahler order in terms of network configuration and relation to headwaters is preserved by applying standard Strahler ordering to assign positive numbers to network segments representing river channels. Extended Strahler ordering allows consistent comparisons between networks with different resolutions, and overland flow pathways to be distinguished from river channels within networks. A method for determining river channel headwater and sinkhole locations from cartographical maps is demonstrated because these locations are required to identify river channels within networks. The number of network segments assigned to each extended Strahler order was calculated for a case study catchment. Results demonstrated that positive Strahler orders calculated for a digital network using the extended Strahler ordering method corresponded well with those derived from cartographical maps regardless of network resolution. Extended Strahler ordering therefore provides consistency in the meaning of each Strahler order when overland flow pathways are included within a network, which is desirable if the network is being used for out‐of‐channel routing, and feasible if high‐resolution digital elevation data are available to generate detailed networks. The source of the cartographical and elevation data should be communicated when describing the origins of extended Strahler orders.
Sign in to start a discussion.
More Papers Like This
Comment on egusphere-2023-939
This comment paper proposes a framework for building river network models from geographic information system data to study environmental processes in rivers. Improved river modeling tools help predict how microplastics are transported and distributed through river networks to coastal ecosystems.
Modeling the transport of microplastics along river networks
Researchers built a mathematical model to predict how microplastics travel through river networks, combining water flow dynamics with estimates of human plastic inputs. They tested the model against real-world data from three river systems worldwide and found it reliably predicted microplastic concentrations. The tool could help identify pollution hotspots and guide cleanup priorities across entire river basins.
The role of water management and its effect on microplastic transport and fate
Researchers examined how water management practices affect the transport and fate of microplastics in river networks, which serve as both conduits and sinks for plastic pollution. The study found that flow regulation and water management interventions significantly influence how far microplastics travel and where they accumulate.
On modeling the fate of microplastics along river networks
Researchers developed and applied a modeling framework to simulate the fate and transport of microplastics along river network systems, treating rivers as key conduits transferring land-based microplastic pollution to marine environments. The model accounted for particle ingestion risks to aquatic organisms and evaluated the long-term persistence and transport dynamics of microplastics across freshwater networks.
Interventions of river network structures on urban aquatic microplastic footprint from a connectivity perspective
Researchers analyzed microplastic distribution in a typical urban river network in Nanjing, China, using multiple detection methods and the Renkonen similarity index to assess how river infrastructure structures such as dams and sluices influence microplastic spatial variability and footprint from a connectivity perspective.