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The Magnitude Threshold and Missing and Pseudo Links in Markov Chains
A crisp step function is not an adequate threshold for studies of Markovian occurrence of large earthquakes, because it can lead to missing or pseudo...
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Statistical modeling for long-term meteorological forecasting: a case study in Van Lake Basin
Predicting environmental variables for a sustainable environment is vital for effective resource management and regional development, especially in...
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A simple framework for likely climate projections applied to tropical width
The increasing use of climate projections in adaptation necessitates a consistent method for producing estimates of likely future conditions from...
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Challenges of transdisciplinary approach in disaster recovery management
Disaster risk reduction is critical in building a sustainable, resilient and inclusive society. Achieving such a society necessitates a...
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Co-seismic and rainfall-triggered landslide hazard susceptibility assessment for Uganda derived using fuzzy logic and geospatial modelling techniques
Uganda has suffered from many damaging landslides like the 1966 Rwenzori, 1994 Kisomoro and 2010 Bududa events. Despite escalating landslide risks...
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Storm-induced marine flooding on Morocco’s Atlantic Coast — case of El Jadida Bay
Coastal regions are often exposed to marine floods, usually generated by storm surge events. Each year, they are responsible for major losses in...
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Modeling wave-surge effects on barrier-island breaching in St. Joseph Peninsula during Hurricane Michael
Better understanding the effects of hurricane waves and storm surges on barrier-island breaching is important for both scientific research and...
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Landslide susceptibility, ensemble machine learning, and accuracy methods in the southern Sinai Peninsula, Egypt: Assessment and Map**
Each year, thousands of tourists visit Egypt’s Wadi Feiran region, which is one of the most popular tourist sites in the Sinai Peninsula. The...
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Economic impacts of an urban gully are driven by land degradation
This study carries out the first evaluation of the impacts of ravines and gullies in urban areas in Brazil considering environmental damage, such as...
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An integrated approach to the spatial distribution of the coastal infrastructure vulnerability by using coastal vulnerability index and hot spot analysis: a case study of Kusadasi-Selcuk
In this study, a new methodology integrating spatial coastal vulnerability index (CVI) and hot spot analysis was proposed for a comprehensive and...
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The utilization of the anomaly method in investigating the location of regional heavy rainfall induced by vortex
The forecast of torrential precipitation caused by vortex is a crucial and challenging aspect of rainstorm forecasting in North China. This paper...
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Projection of future non-stationary intensity-duration-frequency curves using the pooled CMIP6 climate models
Extreme precipitation events can cause severe floods that pose significant risks to human lives, properties, and ecosystems. Therefore, understanding...
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Seismic evaluation of BRBF steel structures with L-shaped irregular plan considering soil-structure interaction
Architectural aspects of buildings, such as the shape of the plan, play an important role in defining the seismic behavior of the building and the...
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How can research-based studio experience assist in tackling natural disasters?
Natural disasters threaten human life in various ways, and a better understanding of their components reduces environmental and societal...
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Exploring the initiating mechanism, monitoring equipment and warning indicators of gully-type debris flow for disaster reduction: a review
Debris flow is a type of natural disaster characterized by sudden outbreaks, rapid movement, short duration, and extreme destructive power, posing a...
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Evaluating the risk and its acceptability of crop yield reduction in Northwest China under the impact of wind hail disasters
The risk of crop yield reduction directly affects the living standards of regional urban and rural residents and the development of national economic...
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Short-term prediction of water level based on deep learning in the downstream area of the Three Gorges Reservoir
Accurately predicting river water levels is crucial for managing water resources and controlling floods. In this study, we propose a water level...
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ActiveGCN-CT: Active Learning-Enhanced Graph Convolutional Networks for Computed Tomography Inversion in Coal Mines
In the realm of coal mine safety, accurately detecting high-stress regions within the coal seam at the working face is paramount for averting...
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Seismic Precursors to Shear Failure of Dry and Saturated Rock Fractures
A key challenge in the assessment of the frictional stability of fractures in rock is the identification of precursory geophysical signatures of...