Terrados-Cristos Marta, Ortega-Fernández Francisco, Díaz-Piloñeta Marina, Rodríguez Montequín Vicente, Álvarez Cabal José Valeriano
Project Engineering Department, University of Oviedo, 33004, Oviedo, Spain.
Heliyon. 2023 Sep 3;9(9):e19655. doi: 10.1016/j.heliyon.2023.e19655. eCollection 2023 Sep.
Wind abrasion, caused by particles transported by strong winds impacting on structures, can lead to their degradation. Although this phenomenon has hardly been studied in this context, it is becoming increasingly important due to new trends in infrastructure location, especially in renewable energy terms. Metallic structures are particularly vulnerable to degradation by the action of windblown sand particles. However, characterising such secluded sites is complicated, and remote sensing systems and satellite information become crucial. The objective of this research is to identify and delineate the geographic areas that are vulnerable to this phenomenon by employing a hybrid model with historical data and the semi-automatic classification of multispectral satellite images. The model is based on critical variables identified by the scientific community and case studies documented in the literature. The methodology used for the study consists of four phases, including creating a scientifically robust database, downloading and managing satellite and historical long-term information, segmenting the regions of interest, and modelling using supervised classification techniques. The proposed algorithm shows very accurate results (R = 0.9922) and the overall system approach is presented as a useful and generalizable method to address this problem, increasing the existing knowledge on material wear by particle action, and contributing to optimizing the initial design of resilient structures.
风蚀是由强风携带的颗粒撞击建筑物结构而引起的，会导致结构退化。尽管在这种情况下对这一现象的研究很少，但由于基础设施选址的新趋势，特别是在可再生能源方面，它正变得越来越重要。金属结构特别容易受到风沙颗粒作用的降解影响。然而，表征这些偏远地区很复杂，遥感系统和卫星信息变得至关重要。本研究的目的是通过采用一个结合历史数据和多光谱卫星图像半自动分类的混合模型，来识别和划定易受这种现象影响的地理区域。该模型基于科学界确定的关键变量和文献中记载的案例研究。本研究采用的方法包括四个阶段，即创建一个科学可靠的数据库、下载和管理卫星及历史长期信息、分割感兴趣区域以及使用监督分类技术进行建模。所提出的算法显示出非常准确的结果（R = 0.9922），并且整个系统方法被认为是解决此问题的一种有用且可推广的方法，增加了关于颗粒作用导致材料磨损的现有知识，并有助于优化弹性结构的初始设计。
