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Logic tree branches’ weights in the probabilistic seismic hazard analysis: the need to combine inter-subjective and propensity probability interpretations
Probabilistic seismic hazard analysis (PSHA) is the primary method for determining the earthquake forces as input to structural seismic evaluation...
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Characterization of historical megathrust earthquake ruptures in Central Chile using logic tree analysis
Characterizing the spatial distribution of ruptures from historical and recent earthquakes is key to understanding the seismic cycle of large...
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Epistemic Uncertainty in PSHA and Seismic Hazard Characterization Using the Logic Tree Approach: Part I, Develo** the Framework
Epistemic uncertainty offers alternatives on decision making and various possibilities of computing the hazard integral. Generally, the logic tree...
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Epistemic Uncertainty in PSHA and Seismic Hazard Characterization Using the Logic Tree Approach: Part II, Implementation over North-East India
Probabilistic seismic hazard assessment of North-East India is carried out considering the GMPE rule and framework developed in the companion paper...
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Seismic Hazard Assessment of Kashmir Region Using Logic Tree Approach: Focus on Sensitivity of PSHA Results Towards Declustering Procedures and GMPEs
Probabilistic seismic hazard assessment (PSHA) for the Kashmir region located in the northwestern Himalayas has been performed to quantitatively...
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Probabilistic Seismic Hazard Assessment at Bedrock Level Using a Logic Tree Approach: A Case Study for Odisha, an Eastern State of India
The Indian peninsular region has witnessed moderate to large earthquakes in the recent past. The present work demonstrates probabilistic seismic...
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Integration of RS-GIS with Frequency Ratio, Fuzzy Logic, Logistic Regression and Decision Tree Models for Flood Susceptibility Prediction in Lower Gangetic Plain: A Study on Malda District of West Bengal, India
Flood is one of the most commonly occurring natural calamities in the lower Gangetic flood plain region of India. Hence, the present study aims to...
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A note on two alternative probabilistic methods to address parametric uncertainty in magnitude frequency distribution (MFD) logic trees (BEEE-D-22-00704)
The magnitude frequency distributions (MFDs) are one of the most important components of seismic source modeling in probabilistic seismic hazard...
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If a tree grows no ring and no one is around: how scientists deal with missing tree rings
Responding to a discrepancy between dendro-reconstruction and climate model during large volcano eruptions, scientists have been debating a missing...
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A Classification Model of Dimensional Stones Using AHP and Fuzzy Logic
Dimensional stones classification models are efficient to particular aspects of these stones production. However, there are two main problems with...
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Development of a universal landslide hazard potential model for mudrock slopes: fuzzy logic and molecular-level modelling approaches
The reduction in shear strength due to moisture-induced swelling and the subsequent slaking of mudrocks is one of the leading causes of landslide...
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Hybrid Iterative and Tree-Based Machine Learning Algorithms for Lake Water Level Forecasting
Accurate forecasting of lake water level (WL) fluctuations is essential for effective development and management of water resource systems. This...
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Failure Conditions Assessment of Complex Water Systems Using Fuzzy Logic
Climate change, energy transition, population growth and other natural and anthropogenic impacts, combined with outdated (unfashionable)...
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A regionally-adaptable “scaled backbone” ground motion logic tree for shallow seismicity in Europe: application to the 2020 European seismic hazard model
The selection of ground motion models, and the representation of their epistemic uncertainty in the form of a logic tree, is one of the fundamental...
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Multi-step Lake Urmia water level forecasting using ensemble of bagging based tree models
Lakes play an important role in hydrologic cycle, and water level forecasting can provide vital information for future management of lakes and their...
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Decision tree regression algorithm-based model for prediction of traffic-induced vibrations: development and application for parametric investigation
In this study, an easy-to-use approach is developed using the familiar MS Excel to make a prediction model for the traffic-induced vibrations....
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A ground motion logic tree for seismic hazard analysis in the stable cratonic region of Europe: regionalisation, model selection and development of a scaled backbone approach
Regions of low seismicity present a particular challenge for probabilistic seismic hazard analysis when identifying suitable ground motion models...
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Application of Naive Bayes, kernel logistic regression and alternation decision tree for landslide susceptibility map** in Pengyang County, China
The purpose of this research is to apply and compare the performance of the three machine learning algorithms-Naive Bayes (NB), kernel logistic...
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Generalized Daily Reference Evapotranspiration Models Based on a Hybrid Optimization Algorithm Tuned Fuzzy Tree Approach
Reference evapotranspiration (ET 0 ) is an important driver in managing scarce water resources and making decisions on real-time and future irrigation...
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Spatial analysis techniques for tsunami vulnerability and inundation map** of Andaman region using remote sensing, GIS, AHP, and Fuzzy logic methods
The detailed inundation map** and vulnerability assessment is an essential component of risk reduction and rehabilitation planning in tsunami-prone...
