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...

The Wait Is Over…DIGGS Is Here!
The roll-out of Data Interchange for Geotechnical and GeoEnvironmental Specialists (DIGGS) has started, and the Ohio DOT (ODOT) has already announced that it will be required beginning January 2018. This...

Hydrologic and Hydraulic Design Methods
Computational methods for hydrologic analysis, hydraulic functions, and treatment capacity of permeable pavements vary depending on the complexity of the design and level of detail in...

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....

Groundwater Hydrology in 2050

Hydrologic Modeling in 2050: Knowledge Requirements in a Multi-Nonstationary Environment

An Analysis of Data from Wave Recorders on the Pacific Coast of the United States

Groundwater Flow Model Development at the Nevada Test Site
The Underground Test Area Project (UGTA) of the National Nuclear Security Administration.s Nevada Site Office is in the process of assessing and developing regulatory decision options...

Transport Model Uncertainty and Sensitivity Analysis for Groundwater Releases of Radionuclides from Subsurface Nuclear Tests
Uncertainty analysis of groundwater flow and transport models is a topic of considerable interest in the groundwater modeling communities. The Underground Test Area (UGTA) Project of the...

Advances in Watershed Management and Fluvial Hazard Mitigation Using Artificial Neural Networks and Remote Sensing
Watershed and channel management across spatial and temporal scales requires an informed, interdisciplinary approach by experts and stakeholders, who often have disparate goals and objectives....

Evaluation of IA SWAT Testing Protocol for ET Controllers
In recent years the Irrigation Association (IA) has developed a testing protocol for Smart Water Application Technologies (SWAT). These technologies consist of irrigation controllers such...

Effects of Impervious Area Estimation Methods on Simulated Peak Discharges
The variability of simulated flood discharges is evaluated using two methods for estimating impervious surfaces and common design methods in the Mission Creek watershed (31 sq km) located...

Hydrologic Comparison of Four Types of Permeable Pavement and Standard Asphalt in Eastern North Carolina
A permeable pavement parking lot in eastern North Carolina consisting of four types of permeable pavement and standard asphalt was monitored from June 2006 to July 2007 for hydrologic...

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...

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...

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...

 

 

 

 

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