IoT and Big Data in Geotechnical Construction: Connecting Drill Rigs to the Cloud
It’s almost impossible these days to escape the fervor and buzz surrounding technologies and concepts such as Big Data, Internet of Things (IoT), Machine Learning (ML), and Artificial Intelligence (AI)....
Advanced Data Analytics In Geotechnics: Adapting to the Big Data Era
Everyone is talking about the impact of artificial intelligence (AI) on the future of work. In one camp are people like the industrialist Elon Musk who fear the potential evils of AI and its possible impact...
Making Big Data Work for You and Your Project: A 3-D Geotechnical Model is a Smart Way to Work
Modeling the stratigraphy beneath a site and assigning soil and rock properties are important steps in geotechnical engineering. Geotechnical engineers often need to model ground conditions...
BIM in Geotechnics: The Benefits of Including Geotechnical Data in Building Information Modelling
Building Information Modelling (BIM) is becoming increasingly common around the world on building and civil engineering projects, but what are the benefits to geotechnical engineers and...
Condition Indices, Performance Measures, and Managing Performance Data for Geotechnical Asset Management – Don't Get Buried!
Why don't transportation agency assets like pavements, bridges, and earthwork have a Check Engine light? Why can't you simply pull up the complete history and life cycle plan for them?...
pLog Tablet Geotechnical Data Collection Software Demo by Datafore
Demonstration of Dataforensics' pLog tablet geotechnical data collection and data management system by company president Scott Deaton....
An Analysis of Data from Wave Recorders on the Pacific Coast of the United States
Permits, Surface Water/Groundwater Baseline Sampling, and Analysis of Dewey-Burdock In Situ Uranium Project in Fall River County, South Dakota
Powertech Uranium Corporation has proposed to conduct in situ mining within a uranium enriched ore deposit on the proposed permit area known as the Dewey-Burdock project. The project is...
Domestic-Well Water-Quality Data and Reports for the Environmental Public Health Tracking Network: USGS and CDC Collaboration
The mission of the Environmental Public Health Tracking (EPHT) Program is to provide information from a nationwide network of integrated health and environmental data that drive actions...
Summary of Approaches for Estimating Playa Lake Flooding
Playa, or terminal, lakes are common in semi- and arid environments; and their characteristic level, hard, and usually dry surfaces make them ideal for airports, as they are used in the...
Evaluation of Satellite-Based Impervious Surface Data for the Mid-Atlantic Region Using an Independently Collected, High-Resolution Validation Database
Satellite-based estimates of impervious surfaces are being produced for the entire United States as part of the U.S. Geological Survey's (USGS) Landsat-based National Land Cover Database...
Stochastic Conditional Simulation of Berea Sandstone Geophysical Properties with a Counterpropagation Neural Network
The ability of a counterpropagation neural network to produce stochastic conditional simulations is applied and evaluated on a real dataset. This network functions as a nonparametric clustering...
Optimization of Well Placement in Groundwater Long Term Monitoring Networks
Long Term Monitoring (LTM) networks play critical roles in tracking the migration of contaminants in groundwater, evaluating the efficiency of the existing remediation techniques, and...
Wave Forces: Data Analysis and Engineering Calculation Method
Hydrologic Modeling Uncertainty and Spatial Data Resolution
Assessing Contaminant Transport in a Small Rocky Mountain Watershed Using Monitoring Data and Mathematical Modeling
Data Collection and Documentation of Flooding Downstream of a Dam Failure in Mississippi
ATLSS Data Viewer: A Tool to Analyze and Display ATLSS Model Outputs
Bayesian Approach to Support Design of a Groundwater Long Term Monitoring Plan
This paper discusses a retrospective data assimilation approach that allows one to examine the spatial and temporal differences between forecast and observed states. Their stability, or...
The Accuracy of Extrapolated Design Estimates with Hydrologic and Environmental Models
Extrapolation error in water resources and environmental modeling has not been the subject of adequate study in the past. In research and design, estimates obtained from regression models...
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