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首页> 外文期刊>Frontiers in Marine Science >Estuarine Suspended Sediment Dynamics: Observations Derived from over a Decade of Satellite Data
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Estuarine Suspended Sediment Dynamics: Observations Derived from over a Decade of Satellite Data

机译:河口悬浮泥沙动力学:来自数十年卫星数据的观测结果

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Suspended sediment dynamics of Corpus Christi Bay, Texas, USA, a shallow-water wind-driven estuary, were investigated by combining field and satellite measurements of total suspended solids (TSS). An algorithm was developed to transform 500-meter Moderate Resolution Imaging Spectroradiometer (MODIS) Aqua satellite reflectance data into estimated TSS values. The algorithm was developed using a reflectance ratio regression of MODIS Band 1 (red) and Band 3 (green) with TSS measurements (n=54) collected by the Texas Commission on Environmental Quality for Corpus Christi Bay and other Texas estuaries. The algorithm was validated by independently collected TSS measurements during the period of 2011-2014 with an uncertainty estimate of 13%. The algorithm was applied to the period of 2002-2014 to create a synoptic time series of TSS for Corpus Christi Bay. Potential drivers of long-term variability in suspended sediment were investigated. Median and IQR composites of suspended sediments were generated for seasonal wind regimes. From this analysis it was determined that long-term, spatial patterns of suspended sediment in the estuary are related to wind-wave resuspension during the predominant northerly and prevalent southeasterly seasonal wind regimes. The impact of dredging is also apparent in long-term patterns of Corpus Christi Bay as concentrations of suspended sediments over dredge spoil disposal sites are higher and more variable than surrounding areas, which is most likely due to their less consolidated sediments and shallower depths requiring less wave energy for sediment resuspension. This study highlights the advantage of how long-synoptic time series of TSS can be used to elucidate the major drivers of suspended sediments in estuaries.
机译:通过结合野外和卫星对总悬浮物(TSS)的测量,研究了德克萨斯州科珀斯克里斯蒂湾(浅水风驱动河口)的悬浮泥沙动力学。开发了一种算法,可将500米中分辨率成像光谱仪(MODIS)的Aqua卫星反射率数据转换为估计的TSS值。该算法是使用德克萨斯州环境质量委员会为科珀斯克里斯蒂湾和其他德克萨斯河口收集的MODIS波段1(红色)和波段3(绿色)的反射率回归以及TSS测量值(n = 54)开发的。该算法通过在2011-2014年期间独立收集的TSS测量值进行了验证,不确定性估计为13%。该算法应用于2002-2014年,为科珀斯克里斯蒂湾创建了TSS的天气时间序列。研究了悬浮沉积物长期变化的潜在驱动因素。产生了季节性风态的悬浮沉积物的中位和IQR复合材料。从该分析可以确定,在主要的北风和盛行的东南风季节,河口的悬浮沉积物的长期,空间格局与风波的重新悬浮有关。在科珀斯克里斯蒂湾的长期格局中,疏dr的影响也很明显,因为疏edge弃土弃置场上的悬浮沉积物浓度比周围地区更高且变化更大,这最有可能是由于它们的固结较少,深度较浅,所需沉积物较少波能量用于沉积物的悬浮。这项研究强调了可以使用TSS的长时间天气序列来阐明河口悬浮沉积物的主要驱动因素的优势。

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