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Estimation of turbidity along the Guadalquivir estuary using Landsat TM and ETM+ images

机译:使用Landsat TM和ETM +图像估算瓜达尔基维尔河河口的浊度

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摘要

Estuarine water in Mediterranean basins has high concentrations of suspended sediment. In order to study the temporal and spatial distribution of turbidity, a monitoring network with sufficient temporal and spatial resolution is needed to monitor water quality, and this is not always available. Thus, over the last few years, satellite images have been used as an alternative way to estimate water quality parameters, such as turbidity. The Guadalquivir River estuary in south-west Spain extends for 105 km and is one of the world's most turbid estuaries. The sediments present are of a very fine texture due to the great length of the river but, mainly, to the extreme trapping efficiency of the dense reservoir system upstream. This work shows the relationship between turbidity patterns along the Guadalquivir river estuary and the data from Landsat ETM+ images from August 2008 to 2010, and the suitability of the algorithms previously used in this estuary environment, with the ultimate goal of obtaining turbidity maps. The results of this study show that the use of previously developed algorithms underestimate turbidity values measured by the monitoring network used, which proves that one single algorithm for the entire period of study does not provide a reliable reproduction of the real situation. The wide variability in turbidity data along the estuary has enabled us to develop specific expressions for each day, which allow us to obtain turbidity maps.
机译:地中海盆地的河口水中悬浮物含量很高。为了研究浊度的时间和空间分布,需要具有足够的时间和空间分辨率的监测网络来监测水质,但并非总是如此。因此,在最近几年中,卫星图像已被用作估计水质参数(例如浊度)的替代方法。西班牙西南部的瓜达尔基维尔河河口长达105公里,是世界上最浑浊的河口之一。由于河流的长度很大,但主要是由于上游稠密水库系统的极高捕集效率,所以存在的沉积物质地非常精细。这项工作显示了瓜达尔基维尔河河口的浊度模式与2008年8月至2010年Landsat ETM +影像数据之间的关系,以及以前在该河口环境中使用的算法的适用性,最终目的是获得浊度图。这项研究的结果表明,使用先前开发的算法会低估使用的监控网络测得的浊度值,这证明在整个研究期间,只有一种算法无法真实再现真实情况。沿河口的浊度数据变化很大,这使我们能够每天开发特定的表达式,从而获得浊度图。

著录项

  • 来源
  • 会议地点 Dresden(DE)
  • 作者单位

    Fluvial Dynamics and Hydrology Research Group. Instituto Interuniversitario del Sistema Tierra en Andalucia (IIISTA). University of Cordoba, Spain;

    Fluvial Dynamics and Hydrology Research Group. Instituto Interuniversitario del Sistema Tierra en Andalucia (IIISTA). University of Cordoba, Spain;

    Fluvial Dynamics and Hydrology Research Group. Instituto Interuniversitario del Sistema Tierra en Andalucia (IIISTA). University of Granada, Spain;

    Fluvial Dynamics and Hydrology Research Group. Instituto Interuniversitario del Sistema Tierra en Andalucia (IIISTA). University of Cordoba, Spain;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Landsat ETM+ images; turbidity; fluvial network; suspended sediment; algorithms of estimation;

    机译:Landsat ETM +图片;浊度河流网络悬浮沉积物估计算法;
  • 入库时间 2022-08-26 13:45:17

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