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Study on the destruction of backfilled loess slopes by short-term extreme rainfall erosion
This paper investigates the damage of loess slopes under the influence of short-term extreme rainfall. The experiment took the loess soil of Yan’an...
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Landslide susceptibility assessment using different rainfall event-based landslide inventories: advantages and limitations
The present work aims to evaluate potential sources of uncertainty associated with rainfall-triggered event-based landslide inventories within the...
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Dynamic rainfall thresholds for landslide early warning in Progo Catchment, Java, Indonesia
This study aims to derive and evaluate new empirical rainfall thresholds as the basis for landslide early warning in Progo Catchment, Indonesia,...
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Projecting Spring Consecutive Rainfall Events in the Three Gorges Reservoir Based on Triple-Nested Dynamical Downscaling
Spring consecutive rainfall events (CREs) are key triggers of geological hazards in the Three Gorges Reservoir area (TGR), China. However, previous...
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Optimal placement of rain gauge networks in complex terrains for monitoring extreme rainfall events: a review
Mountainous terrain poses a challenge in estimating rainfall, because of high variability, both in space and time, associated with the mesoscale...
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Temporal connections in reconstructed monthly rainfall time series in different rainfall regimes of Turkey
The quantitative analysis of rainfall provides an in-depth understanding of the spatio-temporal variation of rainfall patterns. The present study...
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Drivers and impacts of Eastern African rainfall variability
Eastern Africa exhibits bimodal rainfall consisting of long rains (March–May) and short rains (October–December), changes in which have profound...
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Rainfall infiltration and three-dimensional stability analyses of fractured rock slopes considering preferential flow
Rainfall infiltration is one of the main factors inducing landslides. For rock slopes with more developed fractures, the effect of preferential flow...
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Application of machine learning ensemble models for rainfall prediction
Practical information can be drawn from rainfall for making long-term water resources management plans, taking flood mitigation measures, and even...
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Spatio-temporal variations of rainfall using innovative trend analysis during 1951–2021 in Punjab State, India
In the present study, long-term rainfall trend was analyzed using the traditional Mann–Kendall (MK) test and innovative trend analysis (ITA) method...
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Predicting rainfall in Nineveh Governorate in northern Iraq using machine learning time-series forecasting algorithm
Rainfall forecasting addresses several challenges in water resource management and socioeconomic development, despite its complexity and...
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Modelling rainfall in selected agricultural hubs in Nigeria: a comparative probability distributions study
The choice of the most suitable probability distribution for rainfall varies across different geographical regions due to varying spatial and...
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New insights into the catastrophic slope failures at Sau Mau **: the role of antecedent rainfall pattern
Climate change is increasing the frequency and intensity of extreme rainfall events, which aggravate the threat to the safety of natural and man-made...
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Probabilistic Modeling of the Rainfall Severity and Height for Locating the Surface Artificial Recharge Structure
Overuse of groundwater resources, drought, and population growth have drastically reduced the volume of water stored in aquifers. The main objective...
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GIS-based prediction method of shallow landslides induced by heavy rainfall in large mountainous areas
Rainwater runoff that does not infiltrate the soil during heavy rainfall may increase slope instability. The effect of runoff is usually neglected in...
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Choosing the best fit probability distribution in rainfall design analysis for Pulau Pinang, Malaysia
Design rainfall is frequently utilized in the planning and design of urban infrastructure, including culverts and urban drainage systems. The choice...
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Analysis of rainfall and temperature using deep learning model
The uncertainty of climatic or weather variations makes human adaptation a challenging task. Though lots of techno developments have taken place...
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Time series analysis of slope displacements using UAV photogrammetry and its relationship with rainfall intensity
In this study, UAV (Unmanned Aerial Vehicle) photogrammetry was used to monitor the ground displacement on the slope below a coal waste-rock...
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Performance evaluation of satellite-based rainfall estimation across climatic zones in Burkina Faso
Satellite-based rainfall estimates are a good and cost-effective alternative to low-density rain gauges because they provide information for these...
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Two determination models of slope failure pattern based on the rainfall intensity–duration early warning threshold
This work attempts to consider the prediction of slope failure patterns and failure depth in the slope failure early warning system. For this goal,...
