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Monitoring water discharge and floodplain connectivity for the northern Andes utilizing satellite data: A tool for river planning and science-based decision-making

机译:利用卫星数据监测北部北部排水和洪泛平台连接:一种河流规划和基于科学的决策工具

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摘要

River discharge data and magnitudes of floods are often not readily available for decision makers of many developing nations, including Colombia. And this while flooding for these regions is often devastating, causing many fatalities and insurmountable damage to the most vulnerable communities. During the we season, in strong La Nina years, infrastructural damages of over $US 7.2 billion have occurred. Mitigation of such natural disasters lacks data-supported scientific approaches for evaluating river response to extreme climate events. Here, we propose a satellite-based technique to measure river discharge at selected sites for the main northern Andean River, the Magdalena. This method has the advantage of back calculating daily river discharges over a period of two decades, and thus making it possible to calculate return intervals of significant flood events. The study shows that satellite based river discharges well capture a) the inter-annual variability of river discharge; b) the natural seasonality of water discharge along the floodplains; and c) peak discharges that were observed during La Nina conditions between 2008 and 2011. The last is likely more accurate compared to ground-based gauging stations, as ground-based stations tend to overflow during large flood events and as such are hampered to accurately monitor peak discharges. Furthermore, we show that these derived discharges can form the base to study river-floodplain connectivity, providing environmental decision makers with a technique that makes it possible to better monitor river and ecosystem processes.
机译:河流放电数据和洪水大小往往不容易获得许多发展中国家,包括哥伦比亚的决策者。这一点虽然这些地区的洪水往往是毁灭性的,但对最脆弱的社区造成许多死亡和不可逾越的损害。在我们季节,在强大的La Nina岁月中,发生了超过72亿美元的基础设施损害。减轻这种自然灾害缺乏数据支持的科学方法,用于评估河流应对极端气候事件。在这里,我们提出了一种基于卫星的技术来测量所选地点的河流放电,为Magdalena主北部的Andean River河。该方法的优势在二十年的时间内后面计算日常河流排放,从而可以计算显着洪水事件的返回间隔。该研究表明,卫星的河流挖掘了捕获河流的年间变异性; b)沿洪泛平坦排放的自然季节性; c)在2008年至2011年之间的La Nina条件期间观察到的峰放电。与地面测量站相比,最后一个可能更准确,因为基于地面的车站倾向于在大型洪水事件期间溢出,因此被妨碍准确监控峰值放电。此外,我们表明,这些衍生的排放可以形成基础,以研究河流 - 洪泛平原连接,为环境决策者提供一种能够更好地监测河流和生态系统过程的技术。

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