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Assessing bank erosion hazards along large rivers in the Anthropocene: a geospatial framework from the St. Lawrence fluvial system
Geomatics, Natural Hazards and Risk ( IF 4.2 ) Pub Date : 2021-06-25 , DOI: 10.1080/19475705.2021.1935333
Jean-François Bernier 1 , Léo Chassiot 1 , Patrick Lajeunesse 1
Affiliation  

Abstract

Over the past decades, riparian land-use changes coupled to the multiplication of river infrastructures have enhanced vulnerability issues for societies and ecosystems located along large rivers. Exposure to geohazards is also changing due to the ongoing climate change, underlining the need for flexible management strategies for riparian environments. In this perspective, GIS-based mapping allows integrating a wide range of environmental data. However, such datasets are often incomplete and not homogeneous over large geographical scales, which can be problematic for the implementation of regional land-use planning strategies. Using the St. Lawrence fluvial system (SLFS) (Québec, Canada) as a case study, this article reports and describes a high-resolution approach to map position, characteristics and erosion susceptibility of natural and artificial riverbanks from a combination of field-based, remote sensing and local knowledge-derived data. This approach allowed identifying erosion-prone sites and highlighting dominant erosion processes and spatially constrain them along the SLFS. The proposed geospatial framework constitutes (1) an initial portrait of the riverscape that will allow an effective implementation of future monitoring and process-based studies; and (2) a first step in supporting land-use planning stakeholders in the selection of appropriate measures to ensure a greater resilience of riparian communities and ecosystems.



中文翻译:

评估人类世大河沿岸的河岸侵蚀危害:来自圣劳伦斯河流系统的地理空间框架

摘要

在过去的几十年里,河岸土地利用的变化加上河流基础设施的增加,加剧了大河流沿岸社会和生态系统的脆弱性问题。由于持续的气候变化,地质灾害的暴露也在发生变化,这凸显了对河岸环境采取灵活管理策略的必要性。从这个角度来看,基于 GIS 的制图允许集成范围广泛的环境数据。然而,此类数据集在大地理范围内通常不完整且不均匀,这可能会给区域土地利用规划战略的实施带来问题。使用圣劳伦斯河流系统 (SLFS)(加拿大魁北克)作为案例研究,本文报告并描述了一种高分辨率的地图定位方法,结合实地、遥感和当地知识衍生数据,确定自然和人工河岸的特征和侵蚀敏感性。这种方法可以识别易受侵蚀的地点,突出主要的侵蚀过程,并沿 SLFS 在空间上限制它们。拟议的地理空间框架包括 (1) 河流景观的初步画像,它将允许有效实施未来的监测和基于过程的研究;(2) 支持土地利用规划利益相关者选择适当措施以确保河岸社区和生态系统具有更大复原力的第一步。这种方法可以识别易受侵蚀的地点,突出主要的侵蚀过程,并沿 SLFS 在空间上限制它们。拟议的地理空间框架包括 (1) 河流景观的初步画像,它将允许有效实施未来的监测和基于过程的研究;(2) 支持土地利用规划利益相关者选择适当措施以确保河岸社区和生态系统具有更大复原力的第一步。这种方法可以识别易受侵蚀的地点,突出主要的侵蚀过程,并沿 SLFS 在空间上限制它们。拟议的地理空间框架包括 (1) 河流景观的初步画像,它将允许有效实施未来的监测和基于过程的研究;(2) 支持土地利用规划利益相关者选择适当措施以确保河岸社区和生态系统具有更大复原力的第一步。

更新日期:2021-06-25
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