How should we estimate river discharge from drainage area?

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How should we estimate river discharge from drainage area?

2024-05-21 22:09| 来源: 网络整理| 查看: 265

Abstract

Geomorphologists often use drainage area as a convenient proxy for river discharge to model sediment transport and bedrock erosion. But how does discharge actually scale with drainage area? Prior work has suggested that this relationship has a power-law form, Q = kAc, where Q is river discharge, A is drainage area, k is a coefficient, and c is a power-law exponent. Using this as a starting point, I analyze the relationship between discharge and drainage-basin area systematically across the network of U.S. Geological Survey reference gauges with at least 20 years of record, whose mean recorded discharges span over three orders of magnitude. The power-law scaling exponent to convert drainage area into discharge decreases as flood recurrence interval increases, and is approximately 0.77 for a 1-2-year flood. This weakening dependence on drainage area as flood magnitude increases may result, at least in part, from the decreasing probability of simultaneous rain events across a whole drainage basin as basin area increases. Furthermore, the scaling exponent systematically increases as catchment mean rainfall rate (derived from PRISM) increases.

Together, these observations suggest that the drainage-area-discharge exponent in stream-power-based erosion and sediment-transport relationships may be (a) significantly less than is currently assumed based on a linear drainage-area-discharge transfer function and (b) strongly dependent on hydroclimate. The central role that this scaling plays in both detachment-limited (stream-power-based) and transport-limited models of river long-profile evolution implies that river concavity across both systems may hold information on drainage-area-discharge scaling. The dependence of the scaling exponent on mean rainfall rate suggests that river long profiles may record hydrological information over time scales of river morphologic evolution. Such links indicate that established fluvial landscape metrics could hold clues to understanding the influence of climate on river-long-profile and landscape evolution.


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