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Full-Text Articles in Engineering

Modern Technologies For Design Data Collection, James Samuel Bethel, Steven D. Johnson, Monica Prezzi, Boudewijn H. W. Van Gelder, Bob G. Mccullouch, Ali Fuat Cetin, Seungwoo Han, Mosab Hawarey, Changno Lee, Aparajithan Sampath, Jie Shan Aug 2005

Modern Technologies For Design Data Collection, James Samuel Bethel, Steven D. Johnson, Monica Prezzi, Boudewijn H. W. Van Gelder, Bob G. Mccullouch, Ali Fuat Cetin, Seungwoo Han, Mosab Hawarey, Changno Lee, Aparajithan Sampath, Jie Shan

JTRP Technical Reports

Design data collection involving the use of Lidar instrument, in conjunction with GPS proves to be very effective. Data required to model two bridges over the I-70 was collected on a single day, involving five and six sessions with Lidar equipment. Even though the data was collected on two bridges, it did not cause any disruption of the traffic, either on the Interstate or on the bridges. A major cause of concern during survey activities, particularly along interstates is safety, both for the motorists as well as the people involved in data collection. Lidar data collection was found to be …


Modular Neural Network To Predict The Distribution Of Nitrate In Ground Water Using On-Ground Nitrogen Loading And Recharge Data, M. Almasri, Jagath J. Kaluarachchi Jul 2005

Modular Neural Network To Predict The Distribution Of Nitrate In Ground Water Using On-Ground Nitrogen Loading And Recharge Data, M. Almasri, Jagath J. Kaluarachchi

Civil and Environmental Engineering Faculty Publications

Artificial neural networks have proven to be an attractive mathematical tool to represent complex relationships in many branches of hydrology. Due to this attractive feature, neural networks are increasingly being applied in subsurface modeling where intricate physical processes and lack of detailed field data prevail. In this paper, a methodology using modular neural networks (MNN) is proposed to simulate the nitrate concentrations in an agriculture-dominated aquifer. The methodology relies on geographic information system (GIS) tools in the preparation and processing of the MNN input–output data. The basic premise followed in developing the MNN input–output response patterns is to designate the …


Managing Landslide Hazards On The Illawarra Escarpment., P. Flentje, R. N. Chowdhury Feb 2005

Managing Landslide Hazards On The Illawarra Escarpment., P. Flentje, R. N. Chowdhury

Faculty of Engineering - Papers (Archive)

For 12 year the University of Wollongong landslide research team has been developing a Geographic Information System based Landslide Inventory of the Wollongong Local Government Area and surrounding areas. This inventory can now provide data in near real-time via the World Wide Web. The inventory includes 569 landslide sites with a total of 956 landslide ‘events’ (includes all known occurrences and recurrences). Of these, four landslide sites are fully automated and continuously monitored, with data from them immediately accessible with a PIN access via the World Wide Web. Emergency response organisations and utility managers, as well as researchers and other …


Spatial Bioaccumulation Modeling In A Network Of Bayous, Ronaldo Luna, Karen H. Watanabe, Andrew J. Wilding Jan 2005

Spatial Bioaccumulation Modeling In A Network Of Bayous, Ronaldo Luna, Karen H. Watanabe, Andrew J. Wilding

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

A software system, Spatial Network Bioaccumulation Model (SNBM), was developed to model the bioaccumulation of polycyclic aromatic hydrocarbons (PAHs) in aquatic food webs. The SNBM uses a geographic information system as an engine to: (i) store the spatial representation of input parameters (the data related to the ecosystem), (ii) transfer input and output data to and from the food-web bioaccumulation model, and (iii) display the predicted food-web organism concentrations over a base map of the field site. The bioaccumulation model is a time-dependent, set of first-order ordinary differential equations that are solved numerically. Many sampling locations can be analyzed using …