Storm Impacts on Mineral Mass Accumulation Rates of Coastal Marshes

IF 3.5 2区 地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY
L. Cortese, X. Zhang, Marc Simard, S. Fagherazzi
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Abstract

Coastal marsh survival may be compromised by sea-level rise, limited sediment supply, and subsidence. Storms represent a fundamental forcing for sediment accumulation in starving marshes because they resuspend bottom material in channels and tidal flats and transport it to the marsh surface. However, it is unrealistic to simulate at high resolution all storms that occurred in the past decades to obtain reliable sediment accumulation rates. Similarly, it is difficult to cover all possible combinations of water levels and wind conditions in fictional scenarios. Thus, we developed a new method that derives long-term deposition rates from short-term deposition generated by a finite number of storms. Twelve storms with different intensity and frequency were selected in Terrebonne Bay, Louisiana, USA and simulated with the 2D Delft3D-FLOW model coupled with the Simulating Waves Nearshore (SWAN) module. Storm impact was analyzed in terms of geomorphic work, namely the product of deposition and frequency. To derive the long-term inorganic mass accumulation rates, the new method generates every possible combination of the 12 chosen storms and uses a linear model to fit modeled inorganic deposition with measured inorganic mass accumulation rates. The linear model with the best fit (highest R2) was used to derive a map of inorganic mass accumulation rates. Results show that a storm with 1.7 ± 1.6 years return period provides the largest geomorphic work, suggesting that the most impactful storms are those that balance intensity with frequency. Model results show higher accumulation rates in marshes facing open areas where waves can develop and resuspend sediments. This method has the advantage of considering only a few real scenarios and can be applied in any marsh-bay system.

风暴对沿海沼泽矿物质量累积率的影响
沿海沼泽的生存可能会受到海平面上升、有限的沉积物供应和沉降的影响。风暴是饥饿沼泽中沉积物积累的基本动力,因为风暴会将底层物质重新悬浮在河道和滩涂中,并将其输送到沼泽表面。然而,以高分辨率模拟过去几十年中发生的所有风暴以获得可靠的沉积物堆积率是不现实的。同样,也很难涵盖虚构场景中所有可能的水位和风力条件组合。因此,我们开发了一种新方法,从有限数量的风暴产生的短期沉积中推导出长期沉积率。我们在美国路易斯安那州的特雷博恩湾选取了 12 场强度和频率不同的风暴,并使用结合了近岸模拟波(SWAN)模块的二维 Delft3D-FLOW 模型进行了模拟。从地貌作用(即沉积与频率的乘积)的角度分析了风暴影响。为了得出长期无机物质量累积率,新方法生成了 12 个选定风暴的每一种可能组合,并使用线性模型将模型无机沉积与实测无机物质量累积率进行拟合。拟合效果最好(R2 最高)的线性模型被用来绘制无机物质量累积率图。结果表明,重现期为 1.7 ± 1.6 年的风暴造成的地貌影响最大,这表明影响最大的风暴是强度与频率相平衡的风暴。模型结果表明,沼泽地面向开阔区域的堆积率较高,在那里波浪可以发展并使沉积物重新悬浮。这种方法的优点是只需考虑几种实际情况,可应用于任何沼泽-海湾系统。
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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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