Paper Review Records
All Paper Review Records
20 valid samples · Newest publication first
Review days = acceptance date − received date. PDF, DOI, and publisher-page sources are retained.
Rule-based damage assessment of the 2023 Kahramanmaraş earthquakes: a decision tree and association analysis approach
AuthorsMustafa Senkaya; Mustafa E. Okursoy; Tülin İnkaya; Ali Silahtar; Hasan Karaaslan
Affiliations1. Civil Engineering Department, Engineering Faculty, Bursa Uludağ University, Bursa, Turkey; 2. Earthquake Research and Structural Health Monitoring Laboratory, Bursa Uludağ University, Bursa, Turkey; 3. Industrial Engineering Department, Engineering Faculty, Bursa Uludağ University, Bursa, Turkey; 4. Geophysical Engineering Department, Engineering Faculty, Sakarya University, Sakarya, Turkey
Atmospheric state along the European coasts during high frequency (T < 2 h) sea level extremes: a view from above
AuthorsAna Radovan; Marijana Balić; Jadranka Šepić
Affiliations1. Ruđer Bošković Institute, Zagreb, Croatia; 2. Faculty of Science, University of Split, Split, Croatia
Machine learning-based ground motion model with finite-fault distance metrics
AuthorsFederico Mori; Gabriele Fiorentino; Giuseppe Naso
Affiliations1. CNR-IGAG, Institute of Environmental Geology and Geoengineering, National Research Council, Montelibretti, Italy; 2. Dipartimento della Protezione Civile (DPC), Rome, Italy
Hydromechanical modelling of rock slides triggered by atmospheric rivers: insights from British Columbia and Patagonia
AuthorsNicolas Jaimes; Sergio A. Sepúlveda; Brent C. Ward; Diana M. Allen; Paul Duhart
Affiliations1. Earth Sciences Department, Simon Fraser University, Burnaby, Canada; 2. Servicio Nacional de Geología y Minería (SERNAGEOMIN), Puerto Varas, Región de Los Lagos, Chile
DOME: a dynamic optimization meta-ensemble framework for debris-flow susceptibility assessment with SHAP-based interpretation
AuthorsTianlong Wang; Hao Yang
Affiliations1. Ocean College, Zhejiang University, Zhoushan City, China; 2. School of Civil and Environmental Engineering, Nanyang Technological University, Singapore, Singapore; 3. Institute of Civil Engineering and Architecture, Ural Federal University, Yekaterinburg, Russian Federation
Optical–SAR and GIS fusion with physics-informed deep learning for enhanced InSAR-based deformation monitoring in hazard-prone environments
AuthorsHadj Sahraoui Omar; Kebir Lahcen Wahib; Bennia Ahmed
Affiliations1. Agence Spatiale Algérienne, Centre Des Techniques Spatiale, Arzew, Oran, Algeria
Compound multi-hazard assessment under CMIP6 climate scenarios: tracking seasonal flood-landslide and drought-fire interactions across Nepal
AuthorsKripa Shrestha; Karthik Reddy Duddukunta; Pankaj Lal; Md Mehedi Hasan; Md Mahfuzur Rahman; Neera Shrestha Pradhan
Affiliations1. Department of Earth and Environmental Studies, Montclair State University, Montclair, USA; 2. Clean Energy and Sustainability Analytics Center, Montclair State University, Montclair, USA; 3. Center for Computing and Informational Science, Montclair State University, Montclair, USA; 4. Department of Computer Science and Engineering, International University of Business Agriculture and Technology, Dhaka, Bangladesh; 5. Interdisciplinary Research Center for Membranes and Water Security, King Fahd University of Petroleum & Minerals, Dhahran, Saudi Arabia; 6. International Center for Integrated Mountain Development (ICIMOD), Lalitpur, Nepal
Dynamic fragmentation and entrainment characteristics of a heavily jointed landslide: DEM simulation, field seismic signal, and UAV image analysis
AuthorsKaiping Jin; Muhammad Bilal; Ge Gao
Affiliations1. State Key Laboratory of Ocean Engineering, Shanghai Jiao Tong University, Shanghai, China
Uncovering drivers of aboveground biomass recovery after landslide disturbances in tropical montane forest area using explainable machine learning
AuthorsLiqin Yue; Qian Li
Affiliations1. Huanghe Science and Technology College, Zhengzhou, People’s Republic of China; 2. School of Geography and Environment, Jiangxi Normal University, Nanchang, People’s Republic of China
Increasing droughts and associated uncertainties from 1982 to 2022
AuthorsWei Qin; Hasituya; Xinmiao Hu; Shichao Tian; Haihua Bai
Affiliations1. College of Transportation and Municipal Engineering, Inner Mongolia Technical University of Construction, Hohhot, China; 2. College of Resources and Environmental Science, Inner Mongolia Agricultural University, Hohhot, China; 3. Institute of Grassland Research, Chinese Academy of Agricultural Sciences, Hohhot, China
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