School of Geographical and Earth Sciences, University of Glasgow, United Kingdom.
School of Geographical and Earth Sciences, University of Glasgow, United Kingdom.
Sci Total Environ. 2021 May 10;768:144460. doi: 10.1016/j.scitotenv.2020.144460. Epub 2021 Jan 6.
River migration represents a geomorphic hazard at sites of critical bridge infrastructure, particularly in rivers where migration rates are high, as in the tropics. In the Philippines, where exposure to flooding and geomorphic risk are considerable, the recent expansion of infrastructural developments warrants quantification of river migration in the vicinity of bridge assets. We analysed publicly available bridge inventory data from the Philippines Department of Public Works and Highways (DPWH) to complete multi-temporal geospatial analysis using three decades worth of Landsat satellite imagery in Google Earth Engine (GEE). For 74 large bridges, we calculated similarity coefficients and quantified changes in width for the active river channel (defined as the wetted channel and unvegetated alluvial deposits) over decadal and engineering (30-year) timescales. Monitoring revealed the diversity of river planform adjustment at bridges in the Philippines (including channel migration, contraction, expansion and avulsion). The mean Jaccard index over decadal (0.65) and engineering (0.50) timescales indicated considerable planform adjustment throughout the national-scale inventory. However, planform adjustment and morphological behaviour varied between bridges. For bridges with substantial planform adjustment, maximum active channel contraction and expansion was equal to 25% of the active channel width over decadal timescales. This magnitude of lateral adjustment is sufficient to imply the need for bridge design to accommodate channel dynamism. For other bridges, the planform remained stable and changes in channel width were limited. Fundamental differences in channel characteristics and morphological behaviours emerged between different valley confinement settings, and between rivers with different channel patterns, indicating the importance of the local geomorphic setting. We recommend satellite remote sensing as a low-cost approach to monitor river planform adjustment with large-scale planimetric changes detectable in Landsat products; these approaches can be applied to other critical infrastructure adjacent to rivers (e.g. road, rail, pipelines) and extended elsewhere to other dynamic riverine settings.
河流迁移是关键桥梁基础设施所在地的地貌危害,特别是在迁移率较高的热带地区。在菲律宾,洪水和地貌风险的暴露程度相当大,基础设施发展的最近扩张需要量化桥梁资产附近的河流迁移。我们分析了菲律宾公共工程部和公路局(DPWH)的公开桥梁库存数据,使用谷歌地球引擎(GEE)中三十年的陆地卫星图像进行多时相地理空间分析。对于 74 座大型桥梁,我们计算了相似系数,并量化了活跃河道(定义为湿河道和无植被冲积沉积物)在十年和工程(30 年)时间尺度上的宽度变化。监测结果揭示了菲律宾桥梁河流形态调整的多样性(包括河道迁移、收缩、扩张和改道)。十年(0.65)和工程(0.50)时间尺度上的平均杰卡德指数表明,整个国家规模的库存中都有相当大的形态调整。然而,形态调整和形态行为在桥梁之间有所不同。对于形态调整较大的桥梁,活跃河道的最大收缩和扩张等于十年时间尺度上活跃河道宽度的 25%。这种侧向调整的幅度足以暗示桥梁设计需要适应河道的动态性。对于其他桥梁,形态保持稳定,河道宽度的变化有限。不同河谷约束条件之间以及不同河道模式的河流之间出现了河道特征和形态行为的根本差异,表明当地地貌环境的重要性。我们建议使用卫星遥感作为一种低成本的方法来监测河流形态调整,利用 Landsat 产品可以检测到大比例尺的平面变化;这些方法可以应用于其他与河流相邻的关键基础设施(如道路、铁路、管道),并扩展到其他动态河流环境。