三角洲形态的量化加洛韦三元图

IF 3.5 2区 地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY
Juan F. Paniagua-Arroyave, Jaap H. Nienhuis
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引用次数: 0

摘要

波浪、河流和潮汐塑造了三角洲的形态。最近的研究能够预测它们对全球三角洲的相对影响,但对其方法和相关的不确定性仍然知之甚少。在此,我们将弥补这一不足,并展示如何在加洛韦河流、波浪和潮汐沉积物通量三元图中量化三角洲形态。我们对全球 31 个三角洲的三角洲形态预测与观测结果进行了评估,发现河流、潮汐或波浪驱动的沉积通量的中位误差为 4%(标准偏差为 11%)。混合过程三角洲的相对不确定性最大(如西努三角洲,误差为 49%),而波浪、潮汐或河流泥沙通量占主导地位的末端形态的相对不确定性趋于减小(如弗莱三角洲,误差为 0.2%)。三角洲形态指标的预测不确定性更大:由波浪影响确定的三角洲海岸线突出角的中位误差为 45%,潮汐造成的三角洲河道拓宽的中位误差为 25%,支流河道数量的中位误差为 86%。预测不确定性的更大来源是:(a)三角洲形态数据,例如调节潮汐通量的三角洲坡度;(b)三角洲各河流出口之间的河流泥沙通量分布数据;以及(c)河流和潮汐主导地位背后的理论基础。总体而言,这些方法将有助于改进三角洲形态预测,并评估自然和人为力量如何影响形态变化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

The Quantified Galloway Ternary Diagram of Delta Morphology

The Quantified Galloway Ternary Diagram of Delta Morphology

Waves, rivers, and tides shape delta morphology. Recent studies have enabled predictions of their relative influence on deltas globally, but methods and associated uncertainties remain poorly known. Here, we address that gap and show how to quantify delta morphology within the Galloway ternary diagram of river, wave, and tidal sediment fluxes. We assess delta morphology predictions compared to observations for 31 deltas globally and find a median error of 4% (standard deviation of 11%) in the river, tide, or wave-driven sediment fluxes. Relative uncertainties are greatest for mixed-process deltas (e.g., Sinu, error of 49%) and tend to decrease for end-member morphologies where either wave, tide, or river sediment fluxes dominate (e.g., Fly, error of 0.2%). Prediction uncertainties for delta morphologic metrics are more considerable: the delta shoreline protrusion angles set by wave influence have a median error of 45%, the delta channel widening from tides 25%, and the number of distributary channels 86%. Larger sources of prediction uncertainty are (a) delta morphology data, for example, delta slopes that modulate tidal fluxes, (b) data on river sediment flux distribution between individual delta river outlets, and (c) theoretical basis behind fluvial and tidal dominance. Broadly, these methods will help improve delta morphology predictions and assess how natural and anthropogenic forces affect morphologic change.

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来源期刊
Journal of Geophysical Research: Earth Surface
Journal of Geophysical Research: Earth Surface Earth and Planetary Sciences-Earth-Surface Processes
CiteScore
6.30
自引率
10.30%
发文量
162
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