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Probabilistic analysis of rainfall-induced shallow landslide susceptibility using a physically based model and the bootstrap method
Physically based landslide susceptibility analysis is widely used for landslide prediction owing to its high predictive capability. However, due to...
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On the Construction of Bootstrap Confidence Intervals for Estimating the Correlation Between Two Time Series Not Sampled on Identical Time Points
Two important issues characterize the design of bootstrap methods to construct confidence intervals for the correlation between two time series...
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Trivariate Probabilistic Assessments of the Compound Flooding Events Using the 3-D Fully Nested Archimedean (FNA) Copula in the Semiparametric Distribution Setting
Severe flooding in coastal areas can result from the joint probability of oceanographic, hydrological, and meteorological factors, resulting in...
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The Derivation of Nutrient Criteria for the Adjacent Waters of Yellow River Estuary in China
Ecological protection and high-quality development of the Yellow River basin are becoming part of the national strategy in recent years. The Yellow...
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Four-parameter kappa distribution for modeling precipitation extremes: a practical simplified method for parameter estimation in light of the L-moment
The applicability of the four-parameter (4P) kappa distribution to fit the annual maximum (AM) and the peak over threshold (POT) extreme...
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Statistical Analysis of Environmental Data
This chapter describes different statistical techniques to assimilate environmental data and explored the advantages and disadvantages of such...
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A statistical analysis of time trends in atmospheric ethane
Ethane is the most abundant non-methane hydrocarbon in the Earth’s atmosphere and an important precursor of tropospheric ozone through various...
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Estimating Stable Measured Values and Detecting Anomalies in Groundwater Geochemistry Time Series Data Across the Athabasca Oil Sands Area, Canada
Regional groundwater monitoring in the Athabasca region of Alberta, Canada, provides information on groundwater quality and geochemical changes over...
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Novel hybrid models to enhance the efficiency of groundwater potentiality model
The present study aimed to create novel hybrid models to produce groundwater potentiality models (GWP) in the Teesta River basin of Bangladesh. Six...
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A Bootstrap Approach to Testing for Time-Variability of AR Process Coefficients in Regression Time Series with t-Distributed White Noise Components
In this paper, we intend to test whether the random deviations of an observed regression time series with unknown regression coefficients can be...
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Long–Period Trends in Water Temperature Changes in the Northern Part of the Atlantic Ocean according to the Ocean Reanalysis Data
AbstractThe results of assessing long–term changes in water temperature in the northern part of the Atlantic Ocean (0°–70° N, 8°–80° W) according to...
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Optimal Thresholding of Predictors in Mineral Prospectivity Analysis
Some methods for analysing mineral prospectivity, especially the weights of evidence technique, require the predictor variables to be binary values....
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Assessment of spatiotemporal variability of rainfall and surface wind speed over the eastern coastal agro-ecological zones of India using advanced trend detection approaches
Rainfall and near-surface wind speed are two crucial parameters affecting climate change-induced extreme events. It is essential to perform a trend...
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Mining subsidence monitoring using distributed scatterers InSAR based on Goldstein filter and Fisher information matrix-weighted optimization
Due to the shortcomings of traditional interferometric synthetic aperture radar (InSAR) technologies in mining subsidence monitoring, such as a low...
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Knowledge-Based Machine Learning Approaches to Predict Oil Production Rate in the Oil Reservoir
Predicting the oil production rate is a crucial means to improve the operation of hydrocarbon reservoirs and manage the economic plans for oil...
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Comparative assessment of univariate and multivariate imputation models for varying lengths of missing rainfall data in a humid tropical region: a case study of Kozhikode, Kerala, India
Accurate measurement of meteorological parameters is crucial for weather forecasting and climate change research. However, missing observations in...
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Development and application of modeling techniques to estimate the unsaturated hydraulic conductivity
The knowledge of the unsaturated hydraulic conductivity ( K ) is very essential for the various fields of water resources, irrigation, and hydrology....
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Multivariate Hypocenter Clustering and Source Mechanism of 2017 Mw 6.2 and 2019 Mw 6.5 in the South Seram Subduction System
The complexity of the active tectonic system in East Indonesia has influenced various types of seismicity in the Seram Sea, resulting in several...
