Filtering by Subject: Statistics and Probability

Understanding Drought Awareness from Web Data

Mashrekur Rahman, Samuel Sandoval Solis, Thomas Harter, et al.

Published: 2023-08-17
Subjects: Computer Sciences, Earth Sciences, Mathematics, Oceanography and Atmospheric Sciences and Meteorology, Statistics and Probability

We used computer vision (U-Net) model to leverage Standardized Precipitation Evapotranspiration Index (SPEI), Google Trends Search Interest (SI), and Twitter data to understand patterns with which people in Continental United States (CONUS) indicate awareness of and interest in droughts. We found significant statistical relationships between the occurrence of meteorological droughts (MD), as [...]

Performance evaluation of a simple feed-forward deep neural network model applied to annual rainfall anomaly index (RAI) over Indramayu, Indonesia

Sandy Hardian Susanto Herho, Dasapta Erwin Irawan, Faiz Rohman Fajary, et al.

Published: 2023-06-30
Subjects: Climate, Hydrology, Physical Sciences and Mathematics, Statistical Models, Statistics and Probability, Sustainability, Water Resource Management

Indramayu is a district in West Java that is known for being the leading producer of rice and brackish salt. The production of these two commodities is strongly influenced by hydroclimatological conditions, making accurate and reliable long-term estimates crucial. In this study, we evaluated a simple feed-forward deep neural network (DNN) model that could potentially be used as a candidate for [...]

A theory of stochastic fluvial landscape evolution

Gareth G Roberts, Omar Wani

Published: 2023-06-23
Subjects: Earth Sciences, Geomorphology, Physical Sciences and Mathematics, Statistics and Probability

Geometries of eroding landscapes contain important information about geologic, climatic, biotic and geomorphic processes. They are also characterised by variability, which makes disentangling their origins challenging. Observations and physical models of fluvial processes, which set the pace of erosion on most continents, emphasise complexity and variability. In contrast, the spectral content of [...]

Explainable Machine Learning for Hydrocarbon Prospect Risking

Ahmad Mustafa, Ghassan AlRegib, Klaas Koster

Published: 2023-06-21
Subjects: Geophysics and Seismology, Statistics and Probability

Hydrocarbon prospect risking integrates information from multiple geophysical data and modalities to arrive at a probability of success for a given prospect. The DHI database of drilled prospects gathers data from prospects drilled around the world in multiple geologic settings in one central knowledge base. A major goal of interest to geophysicists is to understand the impact of various seismic [...]

A new OSL dose model to account for post-depositional mixing of sediments

Luke Andrew Yates, Zach Aandahl, Barry W. Brook, et al.

Published: 2023-06-07
Subjects: Earth Sciences, Statistical Models, Statistics and Probability

In applications of optically stimulated luminescence (OSL) dating to unconsolidated sediments, the burial age of a sample of grains is estimated using statistical models of the distribution of the experimentally determined equivalent doses of the grains, together with estimates of the environmental dose rate. For grains that have been vertically mixed after deposition (e.g., due to bioturbation), [...]

Carbon Utilization and Storage through Rehabilitation of Groundwater Wells

Vivek Vidyadhar Patil, Gabriella Basso, Steven Catania, et al.

Published: 2023-05-21
Subjects: Applied Statistics, Civil and Environmental Engineering, Climate, Earth Sciences, Environmental Sciences, Geochemistry, Hydrology, Longitudinal Data Analysis and Time Series, Oil, Gas, and Energy, Statistical Methodology, Statistical Models, Statistics and Probability

According to the Intergovernmental Panel on Climate Change (IPCC) of the United Nations (UN), rise in atmospheric concentration of carbon dioxide (CO2) due to anthropogenic factors is considered as the primary driver for global climate change. With almost every major corporation around the world working towards their “net-zero goals”, it is becoming increasingly important to have more [...]

Understanding and Assessing Demographic (In)Equity Resulting from Extreme Heat Exposure due to Lack of Tree Canopies in Norfolk, VA using Agent-Based Modeling

Virginia Zamponi, Kevin Obrien, Erik Jensen, et al.

Published: 2023-03-31
Subjects: Biodiversity, Environmental Public Health, Environmental Studies, Human Geography, Public Health, Social and Behavioral Sciences, Statistics and Probability

Prolonged exposure to extreme heat can result in illness and death. In urban areas of dense concentrations of pavement, buildings, and other surfaces that absorb and retain heat, extreme heat conditions can arise regularly and create harmful environmental exposures for residents daily during certain parts of the year. Tree canopies provide shade and help to cool the environment, making mature [...]

The applicability of G-BASE stream sediment geochemistry as a combined geological mapping, and prospective exploration tool for As-Co-Cu-Ni mineralisation across Cumbria, UK.

Adam Eskdale, Sean Johnson, Amy Gough

Published: 2023-01-18
Subjects: Earth Sciences, Geochemistry, Geology, Multivariate Analysis, Physical Sciences and Mathematics, Statistics and Probability

Stream sediment geochemistry is a useful tool to analyse the geochemistry of the local geology within the source catchment area. This has significant applicability within the field of mineral exploration where understanding regional lithological geochemistry is needed, facilitating the identification of critical metal deposits. Successful identification of these deposits is essential to help [...]

From ground motion simulations to landslide occurrence prediction

Ashok Dahal, David Alejandro Casto Cruz, Hakan Tanyas, et al.

Published: 2023-01-17
Subjects: Applied Statistics, Earth Sciences, Geomorphology, Geophysics and Seismology, Physical Sciences and Mathematics, Soil Science, Statistical Models, Statistics and Probability

Ground motion simulations solve wave equations in space and time, thus producing detailed estimates of the shaking time series. This is essentially uncharted territory for geomorphologists, for we have yet to understand which ground motion (synthetic or not) parameter, or combination of parameters, is more suitable to explain the coseismic landslide distribution. To address this gap, we developed [...]

Technical note: A procedure to clean, decompose and aggregate time series

François Ritter

Published: 2022-11-17
Subjects: Computer Sciences, Earth Sciences, Environmental Sciences, Physical Sciences and Mathematics, Statistics and Probability

Errors, gaps and outliers complicate and sometimes invalidate the analysis of time series. While most fields have developed their own strategy to clean the raw data, no generic procedure has been promoted to standardize the pre-processing. This lack of harmonization makes the inter-comparison of studies difficult, and leads to screening methods that can be arbitrary or case-specific. This study [...]

Evaluating the performance of ground motion models for an intraplate earthquake using Bayesian inference and chimney fragility curves: 2021 Mw 5.9 Woods Point earthquake, Victoria, Australia

James La Greca, Mark Quigley, Jaroslav Vaculik, et al.

Published: 2022-11-15
Subjects: Earth Sciences, Engineering, Physical Sciences and Mathematics, Probability, Statistics and Probability

The 22 September 2021 (AEST) MW 5.9 Woods Point earthquake occurred in an intraplate setting (Victoria, southeastern Australia) approximately 130 km ENE of the central business district of Melbourne (pop. ~5.15 million). A lack of seismic instrumentation and low population density in the epicentral region resulted in a dearth of near-source instrumental and “felt” report intensity data. To [...]

Marine Radiocarbon Calibration in Polar Regions: A Simple Approximate Approach using Marine20

Timothy J Heaton, Martin Butzin, Edouard Bard, et al.

Published: 2022-09-23
Subjects: Earth Sciences, Environmental Sciences, Mathematics, Oceanography and Atmospheric Sciences and Meteorology, Physical Sciences and Mathematics, Statistics and Probability

The Marine20 radiocarbon (14C) age calibration curve, and all earlier marine radiocarbon calibration curves from the IntCal group, must be used extremely cautiously for the calibration of marine 14C samples from polar regions (outside ~ 40ºS – 40ºN) during glacial periods. Calibrating polar 14C marine samples from glacial periods against any Marine calibration curve (Marine20 or any earlier [...]

Space-time landslide hazard modeling via Ensemble Neural Networks

Ashok Dahal, Hakan Tanyas, Cees J. van Westen, et al.

Published: 2022-06-02
Subjects: Applied Statistics, Artificial Intelligence and Robotics, Computer Sciences, Earth Sciences, Geomorphology, Physical Sciences and Mathematics, Statistics and Probability

For decades, a full numerical description of the spatio-temporal dynamics of a landslide could be achieved only via physics-based models. The part of the geomorphology community focusing on data-driven model has instead focused on predicting where landslides may occur via susceptibility models. Moreover, they have estimated when landslides may occur via models that belong to the [...]

Global dynamics of the offshore wind energy sector monitored with Sentinel-1: Turbine count, installed capacity and site specifications

Thorsten Hoeser, Claudia Kuenzer

Published: 2022-04-26
Subjects: Applied Statistics, Earth Sciences, Environmental Sciences, Natural Resource Economics, Natural Resources Management and Policy, Oil, Gas, and Energy, Other Earth Sciences, Statistics and Probability

With the promotion of renewable energy production and a planned phaseout of fossil fuels until 2040, the offshore wind energy sector has started to expand and will continue to increase its capacity in the upcoming decades. This study presents how the installed capacity can be derived from radar imagery provided by the Sentinel-1 mission for all offshore wind turbines on the entire Earth. By [...]

Multilevel multifidelity Monte Carlo methods for assessing coastal flood risk

Mariana C A Clare, Tim Leijnse, Robert McCall, et al.

Published: 2022-03-14
Subjects: Applied Mathematics, Earth Sciences, Hydrology, Risk Analysis, Statistical Methodology, Statistics and Probability

When choosing an appropriate hydrodynamic model, there is always a compromise between accuracy and computational cost, with high fidelity models being more expensive than low fidelity ones. However, when assessing uncertainty, we can use a multifidelity approach to take advantage of the accuracy of high fidelity models and the computational efficiency of low fidelity models. Here, we apply the [...]


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