通过多标准分析进行滑坡风险评估

IF 2.8 3区 地球科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS
Fatma Zohra Chaabane, Salim Lamine, Mohamed Said Guettouche, Nour El Islam Bachari, Nassim Hallal
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引用次数: 0

摘要

自然风险包括一系列灾害和危险,需要通过先进的评估、预测和预警系统进行综合管理。我们的具体重点是困难地形中的滑坡。对滑坡风险的评估采用了复杂的多标准模型,如综合定性参数的加权和地理信息系统方法。尽管阿尔及利亚北部崎岖的地形带来了挑战,但矛盾的是,这里却因宝贵的水力农业资源而吸引了大量人口。我们的研究目标是研究这些地区(尤其是米拉地区)的滑坡风险,目的是构建一个数学模型,将危险性和脆弱性考虑在内。这一复杂的过程确定了威胁及其决定因素,包括地貌和社会经济条件。我们开发了两种算法,即层次分析法 (AHP) 和模糊层次分析法 (FAHP),通过分配权重来确定标准和次级标准的优先次序,从而找到最佳解决方案。通过将卫星图像和现场测量等多源数据整合到地理信息系统中,并应用这两种算法,我们成功生成了滑坡易发性地图。FAHP 方法在管理不确定性和专家评估误差方面表现出更强的能力。最后,对绘制的风险地图和观测到的风险清单地图进行比较后发现,这两个专题数据集之间具有很强的相关性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Landslide Risk Assessments through Multicriteria Analysis
Natural risks comprise a whole range of disasters and dangers, requiring comprehensive management through advanced assessment, forecasting, and warning systems. Our specific focus is on landslides in difficult terrains. The evaluation of landslide risks employs sophisticated multicriteria models, such as the weighted sum GIS approach, which integrates qualitative parameters. Despite the challenges posed by the rugged terrain in Northern Algeria, it is paradoxically home to a dense population attracted by valuable hydro-agricultural resources. The goal of our research is to study landslide risks in these areas, particularly in the Mila region, with the aim of constructing a mathematical model that integrates both hazard and vulnerability considerations. This complex process identifies threats and their determining factors, including geomorphology and socio-economic conditions. We developed two algorithms, the analytic hierarchy process (AHP) and the fuzzy analytic hierarchy process (FAHP), to prioritize criteria and sub-criteria by assigning weights to them, aiming to find the optimal solution. By integrating multi-source data, including satellite images and in situ measurements, into a GIS and applying the two algorithms, we successfully generated landslide susceptibility maps. The FAHP method demonstrated a higher capacity to manage uncertainty and specialist assessment errors. Finally, a comparison between the developed risk map and the observed risk inventory map revealed a strong correlation between the thematic datasets.
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来源期刊
ISPRS International Journal of Geo-Information
ISPRS International Journal of Geo-Information GEOGRAPHY, PHYSICALREMOTE SENSING&nb-REMOTE SENSING
CiteScore
6.90
自引率
11.80%
发文量
520
审稿时长
19.87 days
期刊介绍: ISPRS International Journal of Geo-Information (ISSN 2220-9964) provides an advanced forum for the science and technology of geographic information. ISPRS International Journal of Geo-Information publishes regular research papers, reviews and communications. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. There is no restriction on the length of the papers. The full experimental details must be provided so that the results can be reproduced. The 2018 IJGI Outstanding Reviewer Award has been launched! This award acknowledge those who have generously dedicated their time to review manuscripts submitted to IJGI. See full details at http://www.mdpi.com/journal/ijgi/awards.
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