陆地不稳定加剧了埃及亚历山大市海平面上升的风险

IF 8.6 Q1 REMOTE SENSING
Rejoice Thomas , Sara Zouriq , Shahryar Fazli , Amr Fawzy , Nikolay Grisel Todorov , Surendra Maharjan , Wenzhao Li , Erik Linstead , Daniele Struppa , Hesham El-Askary
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引用次数: 0

摘要

埃及亚历山大省沿海地区对贸易具有重要的战略意义,同时也容易受到极端天气事件的影响。它面临着海平面上升和陆地不稳定的双重挑战,正如这项研究发现的那样。虽然人们对海平面上升(SLR)的关注是正确的,但陆地的稳定性也值得同等考虑。在这里,通过测量视线(LOS)位移并评估其地形、水文和海岸影响,对亚历山大的土地稳定性进行了全面分析。持续散射体干涉测量技术用于测量与土地覆盖分类和高程数据相关联的LOS位移。此外,由于缺乏最新的、可公开访问的具有满意分辨率的数字高程模型(DEM),我们开发了一种使用小基线子集方法更新DEM的新方法。这种方法使我们能够生成2040年的预测DEM,促进基于该“未来DEM”的流网络的创建。我们的观测结果显示,位移范围为- 14.0至6.7 mm/年,主要发生在低洼和建成区,表明人为活动可能是一个原因。当前和未来的河流网络表现为河流转移和加宽。河流的移动表明地形和水文条件的动态变化,而河流的拓宽表明由于城市径流增加或自然流域的变化而导致水文网络的变化。此外,我们还发现,预计到本世纪末,亚历山大附近地中海的海面温度和SLR都将增加。这种升级增加了该地区发生类似热带飓风事件的可能性,通常被称为“飓风”。这项研究的重要性在于为全面的土地稳定性评估提供了一个框架,同时展示了应用方法的可扩展性,包括我们生成当前和预测DEM的独特方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Land instability Compounds the risk of sea level rise in Alexandria, Egypt

Land instability Compounds the risk of sea level rise in Alexandria, Egypt
The coastal region of Alexandria Governorate in Egypt holds significant strategic importance for trade while being susceptible to extreme weather events. It confronts a dual challenge of the rising sea levels and, as found in this study, land instability. While much attention has been rightly directed towards sea level rise (SLR), the stability of the land warrants equal consideration. Here, a comprehensive analysis of land stability is conducted in Alexandria by measuring Line of Sight (LOS) displacements and assessing their topographical, hydrological, and coastal impacts. Persistent Scatterer Interferometry technique is used to measure the LOS displacements in association with land cover classification and elevation data. Moreover, in the absence of a recent, openly accessible Digital Elevation Model (DEM) with satisfactory resolution, we developed a novel approach to update DEM using the Small Baseline Subset method. This approach enabled us to generate a projected DEM for the year 2040, facilitating the creation of a stream network based on this “future DEM”. Our observations revealed displacements ranging from −14.0 to 6.7 mm/year, predominantly occurring in low-lying and built-up areas, suggesting anthropogenic activities as a likely cause. The current and future stream networks show stream shifting and widening. Stream shifting indicates dynamic changes in topography and hydrological conditions, while stream widening suggests alterations in the hydrological network due to increased urban runoff or changes in the natural watershed. Furthermore, we found that sea surface temperature and SLR are projected to increase until the end of the century in the Mediterranean Sea near Alexandria. This escalation raises the likelihood of intensified tropical-like hurricane events in the region, commonly referred to as “medicanes”. The importance of this research is in offering a framework for comprehensive land stability assessments, along with demonstrating the scalability of the applied methodologies, including our distinct approach to generating both current and projected DEM.
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来源期刊
International journal of applied earth observation and geoinformation : ITC journal
International journal of applied earth observation and geoinformation : ITC journal Global and Planetary Change, Management, Monitoring, Policy and Law, Earth-Surface Processes, Computers in Earth Sciences
CiteScore
12.00
自引率
0.00%
发文量
0
审稿时长
77 days
期刊介绍: The International Journal of Applied Earth Observation and Geoinformation publishes original papers that utilize earth observation data for natural resource and environmental inventory and management. These data primarily originate from remote sensing platforms, including satellites and aircraft, supplemented by surface and subsurface measurements. Addressing natural resources such as forests, agricultural land, soils, and water, as well as environmental concerns like biodiversity, land degradation, and hazards, the journal explores conceptual and data-driven approaches. It covers geoinformation themes like capturing, databasing, visualization, interpretation, data quality, and spatial uncertainty.
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