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Statistical Analysis of Rainfall Intensity Frequency Considering Rainfall Time in the Diurnal Cycle
Rainfall intensity at a specific time is an important factor affecting the occurrence of combined sewer overflow (CSO). In this study, a statistical...
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A Novel Framework for Urban Flood damage Assessment
In the current study, a novel method is proposed to analyze the simultaneous impacts of non-stationarity in hydrological time series and land-use...
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An Improved GWR Approach for Exploring the Anisotropic Influence of Ore-Controlling Factors on Mineralization in 3D Space
Spatial non-stationarity is a common geological phenomenon, and the formation of orebodies is a typical non-stationary process. Therefore, a...
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Develo** the Regional Nonstationary IDF Curves Using NGN-ProNEVA Framework
Intensity–Duration–Frequency (IDF) curves are known as practical tools in the construction of infrastructures. However, develo** such curves is...
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A Multi-stage Stochastic Approach for Statistical Downscaling of Rainfall
The study proposes a statistical downscaling procedure for regional rainfall. In the multistage procedure, the spatial downscaling stage using...
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Changes in Thermal Conductivity of Rocks in the Lithosphere of the West Siberian Basin in the Area of the Tyumen SG-6 Well
Abstract —Numerical reconstructions of the thermal regime of the lithosphere of the West Siberian basin in the Koltogor-Urengoi graben in the vicinity...
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Causal inference for time series
Many research questions in Earth and environmental sciences are inherently causal, requiring robust analyses to establish whether and how changes in...
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Impact of geostatistical nonstationarity on convolutional neural network predictions
Convolutional neural networks (CNNs) are gaining tremendous attention in subsurface studies due to their ability to learn from spatial image data....
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Multi-Step-Ahead Rainfall-Runoff Modeling: Decision Tree-Based Clustering for Hybrid Wavelet Neural- Networks Modeling
This paper introduces a novel hybrid approach for predicting the rainfall-runoff (r-r) phenomenon across different data division scenarios (50%-50%,...
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Forecasting long-term monthly precipitation using SARIMA models
AbstractRainfall forecasting models developed using the seasonal autoregressive integrated moving average (SARIMA) technique for spatially...
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Spatial Interpolation and Conditional Map Generation Using Deep Image Prior for Environmental Applications
Kriging is the most widely used spatial interpolation method in geostatistics. For many environmental applications, kriging may have to satisfy the...
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A Fourier series non-stationary coherency model with respect to site conditions for the horizontal component of ground motion
A Fourier series non-stationary coherency model with respect to the site conditions for the horizontal component was developed. The evolution of the...
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A model output statistic-based probabilistic approach for statistical downscaling of temperature
Large-scale temperature projections need to be downscaled to river basin scale to facilitate a regional scale climate change impact assessment. A...
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Extreme temperature return level map** for northwest Turkey
Risk management and design strategies for extreme temperatures are generally based on a 50-year return level in many national and international...
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A short-term prediction model of global ionospheric VTEC based on the combination of long short-term memory and convolutional long short-term memory
The ionospheric vertical total electron content (VTEC) is an essential parameter for studying the ionosphere's dynamic variations, and its short-term...
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Climatic pacing of extreme Nile floods during the North African Humid Period
Understanding how large river systems will respond to an invigorated hydrological cycle as simulated under higher global temperatures is a pressing...
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Pitfalls in hydrologic model calibration in a data scarce environment with a strong seasonality: experience from the Adyar catchment, India
Process-based hydrologic models can provide necessary information for water resources management. However, the reliability of hydrological models...
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Amplifying subtropical hydrological transition over China in early summer tied to weakened mid-latitude synoptic disturbances
The rainy season over southern China (SC) begins with the onset of the South China Sea monsoon around mid-May. We demonstrate here that the SC...
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Investigating paleoclimate and current climatic controls at Lago Argentino using sediment pixel intensity time series
The quantity and characteristics of sediment deposited in lakes are affected by climate to varying extents. As sediment is deposited, it provides a...
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Exploring spatial non-stationarity in the relationships between landslide susceptibility and conditioning factors: a local modeling approach using geographically weighted regression
Landslide susceptibility is the likelihood of landslide occurrence, in a specific place and time. The identification of the potential relationships...
