Linking scale-specific sinuosity to hydrogeomorphic domains in Alaska watersheds

Abstract

River meander patterns arise from geomorphological processes influenced by climate, geology, terrain, and hydrology. These processes produce a wide spectrum of sinuous channel and meander forms, and understanding them is essential for land management practices, such as natural channel restoration (Dominguez et al., 2018), flood and erosion control, bank stabilization (U.S. Department of Interior, 2015), and riparian corridor and agricultural land management (Ran, et al., 2022; Yu, et al., 2023; Zhu et al., 2022). Studies of meander migration provide insight into sediment dynamics and river ecosystem health (Ielpi et al. 2023, Constantine et al., 2014). A river’s natural ability to clean itself, or reduce pollutants, through physical, chemical, and biological processes, also termed self-purification capacity, has been linked to river sinuosity (Xiao et al, 2019, 2025). Scale-specific sinuosity (S3) is an easily computed metric for characterizing planform meander bend geometry across a range of measurement scales (Stanislawski et al., 2023). Unlike the traditional single summary value of sinuosity for a stream section, S3 estimates the relative distribution of meander‑bend sizes, such as peak‑to‑trough lengths, within a planform linear representation of a stream section, along with the relative contributions of these bend sizes to its overall sinuosity. The aim of this study is to assess the potential of S3 as a diagnostic geomorphic metric with applications to process-based river and fluvial domain classification. Rivers vary widely in their sensitivity to change depending on sediment and bedload materials, landscape position, and hydroclimatic variability, including flooding or drought. River classification systems were developed to organize the diversity of river forms and processes in ways that support both scientific understanding and management needs. Classification provides a framework for geomorphological analyses related to resource assessment, habitat evaluation, and mitigation of natural or human-driven disturbances. Process-based classification systems help predict how channels respond to changes in flow or sediment regimes (Buffington and Montgomery, 2022), and also support resource exploration because ecological habitats, mineral deposits, and other natural resources often correspond to sediment characteristics that vary systematically across channel types (Rosgen, 1994; Wheaton et al., 2013; Wheaton et al., 2015). Planform-based metrics such as channel sinuosity have long been components of river classification systems (Rosgen, 1994; Wheaton et al., 2015; Buffington and Montgomery, 2022), where sinuosity is measured as a simple ratio of path length over end-to-end distance.