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Bahareh Kalantar, Husam A. H. Al-Najjar, Biswajeet Pradhan, Vahideh Saeidi, Alfian Abdul Halin, Naonori Ueda and Seyed Amir Naghibi
Assessment of the most appropriate groundwater conditioning factors (GCFs) is essential when performing analyses for groundwater potential mapping. For this reason, in this work, we look at three statistical factor analysis methods?Variance Inflation Fac...
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Silvio Luís Rafaeli Neto, Vanessa Jutel dos Santos, Emili Louise Diconcili Schutz, Leticia Margarete de Moliner, Cristiane Gracieli Kloth, Daiane Teixeira Schier, Arsalan Ahmed Othman, Veraldo Liesenberg and Polyanna da Conceição Bispo
Hydro-based morphological models are representations of the terrain related to the flow or storage of water in the landscape. However, their application in the context of an integrated environmental assessment has been scarcely explored in the literature...
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Kaveh Ghahraman, Balázs Nagy and Fatemeh Nooshin Nokhandan
We utilized the random forest (RF) machine learning algorithm, along with nine topographical/morphological factors, namely aspect, slope, geomorphons, plan curvature, profile curvature, terrain roughness index, surface texture, topographic wetness index ...
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Ayse Yavuz Ozalp, Halil Akinci and Mustafa Zeybek
The Eastern Black Sea Region is regarded as the most prone to landslides in Turkey due to its geological, geographical, and climatic characteristics. Landslides in this region inflict both fatalities and significant economic damage. The main objective of...
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Hanaa A. Megahed, Amira M. Abdo, Mohamed A. E. AbdelRahman, Antonio Scopa and Mohammed N. Hegazy
The occurrence of flash floods is a natural yet unavoidable occurrence over time. In addition to harming people, property, and resources, it also undermines a country?s economy. This paper attempts to identify areas of flood vulnerability using a frequen...
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Saulo Folharini, António Vieira, António Bento-Gonçalves, Sara Silva, Tiago Marques and Jorge Novais
Protected areas (PA) play an important role in minimizing the effects of soil erosion in watersheds. This study evaluated the performance of machine learning models, specifically support vector machine with linear kernel (SVMLinear), support vector machi...
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Hilal Ahmad, Chen Ningsheng, Mahfuzur Rahman, Md Monirul Islam, Hamid Reza Pourghasemi, Syed Fahad Hussain, Jules Maurice Habumugisha, Enlong Liu, Han Zheng, Huayong Ni and Ashraf Dewan
The China?Pakistan Economic Corridor (CPEC) project passes through the Karakoram Highway in northern Pakistan, which is one of the most hazardous regions of the world. The most common hazards in this region are landslides and debris flows, which result i...
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Hugo Leonardo Oliveira Chaves,Maria Elisa Leite Costa,Sérgio Koide,Tati de Almeida,Rejane Ennes Cicerelli
Pág. 148 - 166
O mapeamento de suscetibilidade à inundação é importante para o manejo da dinâmica do uso do solo e, consequentemente, da hidrologia urbana local. O presente estudo produziu o mapa de suscetibilidade à inundação na Bacia do Riacho Fundo, Distrito Federal...
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Evangelin Ramani Sujatha and Venkataramana Sridhar
Landslides are a common geologic hazard that disrupts the social and economic balance of the affected society. Therefore, identifying zones prone to landslides is necessary for safe living and the minimal disruption of economic activities in the event of...
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Yasin Wahid Rabby and Yingkui Li
Landslide susceptibility mapping is of critical importance to identify landslide-prone areas to reduce future landslides, causalities, and infrastructural damages. This paper presents landslide susceptibility maps at a regional scale for the Chittagong H...
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