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基于无人机的蜿蜒河流极端降雨事件引起的形态变化评估。

UAV-based evaluation of morphological changes induced by extreme rainfall events in meandering rivers.

机构信息

Department of Geomatic Engineering, Yıldız Technical University, Esenler, Istanbul, Turkey.

Eurasia Institute of Earth Sciences, Istanbul Technical University, Maslak, Istanbul, Turkey.

出版信息

PLoS One. 2020 Nov 9;15(11):e0241293. doi: 10.1371/journal.pone.0241293. eCollection 2020.

Abstract

Morphological changes, caused by the erosion and deposition processes due to water discharge and sediment flux occur, in the banks along the river channels and in the estuaries. Flow rate is one of the most important factors that can change river morphology. The geometric shapes of the meanders and the river flow parameters are crucial components in the areas where erosion or deposition occurs in the meandering rivers. Extreme precipitation triggers erosion on the slopes, which causes significant morphological changes in large areas during and after the event. The flow and sediment amount observed in a river basin with extreme precipitation increases and exceeds the long-term average value. Hereby, erosion severity can be determined by performing spatial analyses on remotely sensed imagery acquired before and after an extreme precipitation event. Changes of erosion and deposition along the river channels and overspill channels can be examined by comparing multi-temporal Unmanned Aerial Vehicle (UAV) based Digital Surface Model (DSM) data. In this study, morphological changes in the Büyük Menderes River located in the western Turkey, were monitored with pre-flood (June 2018), during flood (January 2019), and post-flood (September 2019) UAV surveys, and the spatial and volumetric changes of eroded/deposited sediment were quantified. For this purpose, the DSAS (Digital Shoreline Analysis System) method and the DEM of Difference (DoD) method were used to determine the changes on the riverbank and to compare the periodic volumetric morphological changes. Hereby, Structure from Motion (SfM) photogrammetry technique was exploited to a low-cost UAV derived imagery to achieve riverbank, areal and volumetric changes following the extreme rainfall events extracted from the time series of Tropical Rainfall Measuring Mission (TRMM) satellite data. The change analyses were performed to figure out the periodic morphodynamic variations and the impact of the flood on the selected meandering structures. In conclusion, although the river water level increased by 0.4-5.9 meters with the flood occurred in January 2019, the sediment deposition areas reformed after the flood event, as the water level decreased. Two-year monitoring revealed that the sinuosity index (SI) values changed during the flood approached the pre-flood values over time. Moreover, it was observed that the amount of the deposited sediments in September 2019 approached that of June 2018.

摘要

形态变化是由水流和泥沙通量引起的侵蚀和沉积过程造成的,发生在河道两岸和河口。流速是影响河流形态的最重要因素之一。弯道的几何形状和河流流动参数是侵蚀或沉积发生在弯道河流的关键组成部分。极端降水会触发斜坡侵蚀,在事件期间和之后,会导致大面积的显著形态变化。在极端降水事件发生的流域中,观测到的水流和泥沙量增加并超过长期平均值。因此,可以通过对极端降水事件前后获取的遥感图像进行空间分析来确定侵蚀的严重程度。通过比较多时相基于无人机的数字表面模型 (DSM) 数据,可以检查河道和溢洪道沿线的侵蚀和沉积变化。在这项研究中,通过在洪水前(2018 年 6 月)、洪水期间(2019 年 1 月)和洪水后(2019 年 9 月)进行无人机调查,监测了位于土耳其西部的比基达斯河的形态变化,并量化了侵蚀/沉积泥沙的空间和体积变化。为此,使用数字海岸线分析系统 (DSAS) 方法和差分数字高程模型 (DoD) 方法来确定河岸的变化,并比较周期性的体积形态变化。在此过程中,利用运动结构 (SfM) 摄影测量技术对低成本无人机获取的图像进行处理,从热带降雨测量任务 (TRMM) 卫星数据的时间序列中提取出极端降雨事件后,实现对河岸、区域和体积变化的提取。进行变化分析以确定周期性的形态动力变化以及洪水对选定的弯曲结构的影响。总之,尽管 2019 年 1 月发生的洪水使河水水位上升了 0.4-5.9 米,但洪水过后,水位下降,泥沙沉积区得以重新形成。两年的监测结果表明,洪水期间的弯曲指数 (SI) 值随时间接近洪水前的值。此外,还观察到 2019 年 9 月的沉积泥沙量接近 2018 年 6 月的沉积泥沙量。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f9a/7652340/24c6f21bd3d5/pone.0241293.g001.jpg

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