Evaluating Sea Level Rise Impacts on the Southeastern Türkiye Coastline: a Coastal Vulnerability Perspective

IF 2.1 4区 地球科学 Q3 IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY
Fahri Aykut, Devrim Tezcan
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引用次数: 0

Abstract

Coastal areas are inherently sensitive and dynamic, susceptible to natural forces like waves, winds, currents, and tides. Human activities further accelerate coastal changes, while climate change and global sea level rise add to the challenges. Recognizing and safeguarding these coasts, vital for both socioeconomic and environmental reasons, becomes imperative. The objective of this study is to categorize the coasts of the Mersin and İskenderun bays along the southeastern coast of Türkiye based on their vulnerability to natural forces and human-induced factors using the coastal vulnerability index (CVI) method. The study area encompasses approximately 520 km of coastline. The coastal vulnerability analysis reveals that the coastal zone comprises various levels of vulnerability along the total coastline: 24.7% (128 km) is categorized as very high vulnerability, 27.4% (142 km) as high vulnerability, 23.7% (123 km) as moderate vulnerability, and 24.3% (126 km) as low vulnerability. Key parameters influencing vulnerability include coastal slope, land use, and population density. High and very high vulnerability are particularly prominent in coastal plains characterized by gentle slopes, weak geological and geomorphological features, and significant socioeconomic value.

Abstract Image

评估海平面上升对土耳其东南部海岸线的影响:沿海脆弱性视角
沿海地区本身具有敏感性和动态性,易受海浪、风、海流和潮汐等自然力量的影响。人类活动进一步加速了沿海地区的变化,而气候变化和全球海平面上升则加剧了这些挑战。认识和保护这些对社会经济和环境都至关重要的海岸已成为当务之急。本研究的目的是利用海岸脆弱性指数 (CVI) 方法,根据这些海岸在自然力和人为因素面前的脆弱性,对土耳其东南沿海的梅尔辛海湾和伊斯肯德伦海湾的海岸进行分类。研究区域的海岸线长约 520 公里。海岸脆弱性分析表明,沿海地区的海岸线总长度存在不同程度的脆弱性:24.7%(128 公里)被归类为极高脆弱性,27.4%(142 公里)被归类为高脆弱性,23.7%(123 公里)被归类为中等脆弱性,24.3%(126 公里)被归类为低脆弱性。影响脆弱性的主要参数包括海岸坡度、土地利用和人口密度。高脆弱性和极高脆弱性在沿海平原尤为突出,这些平原的特点是坡度较缓,地质和地貌特征较弱,具有重要的社会经济价值。
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来源期刊
CiteScore
8.20
自引率
2.40%
发文量
38
期刊介绍: PFG is an international scholarly journal covering the progress and application of photogrammetric methods, remote sensing technology and the interconnected field of geoinformation science. It places special editorial emphasis on the communication of new methodologies in data acquisition and new approaches to optimized processing and interpretation of all types of data which were acquired by photogrammetric methods, remote sensing, image processing and the computer-aided interpretation of such data in general. The journal hence addresses both researchers and students of these disciplines at academic institutions and universities as well as the downstream users in both the private sector and public administration. Founded in 1926 under the former name Bildmessung und Luftbildwesen, PFG is worldwide the oldest journal on photogrammetry. It is the official journal of the German Society for Photogrammetry, Remote Sensing and Geoinformation (DGPF).
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