Delegate, Network, and Ask for What You Want
Justin Siegrist, P.E., M.ASCE, is the hydraulic modeling lead in the Cincinnati office of Wade Trim. His advice to young engineers: delegate, network, and ask for what you want....

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....

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...

Artificial Neural Networks in Water Supply Engineering
Prepared by the Water Supply Engineering Technical Committee of the Infrastructure Council of the Environmental and Water Resources Institute of ASCE. ...

Wetlands at Work
As urbanization spread to the southern portion of Staten Island�the home of New York City's last large stand of freshwater wetlands�the New York City Department of Environmental...

Leakage Control?Finding a New Resource from the Existing One
It is estimated that by the year 2005, one person in two will have an insufficient supply of one of the world's most precious elements: water. Worse still, it is predicted that this shortage...

Application of Artificial Neural Networks for Ungauged Catchments Flood Prediction
The prediction of floods with acceptable accuracy is the most important step in designing flood control structures and operating flood damage mitigation projects. It is more difficult...

Socioeconomic Characteristics, Land Use and Travel Patterns of the Municipality of Beijing, China
The Beijing authorities have tackled the inherited problems of access and mobility, and have aimed to cater for increased transport demands and higher expectations of level of service...

CURITIBA: An International Perspective on the City's Bus-Transit Network
The bus-transit transportation network in Curitiba, Brazil, has received widespread attention for its innovations and effectiveness. This paper looks at those breakthroughs, and considers...

Hong Kong's Public Transport System: Harmonizing Choice, Diversity and Urban Integration
The benefits of integrating railways with land use planning and active urban development and why this is rather successfully achieved in Hong Kong are discussed. The people of Hong Kong...

Roadspace Reallocation Increasing Bus Use
This paper briefly outlines the history and current development of the role of the bus and how roadspace re-allocation particularly through bus priority is used to increase public transport...

Easing the Way for E-Permitting
In an effort to speed the development of an electronic permitting process in Fairfax County, Virginia, the firm Dewberry & Davis conducted a forum as part of a kickoff process....

Robust Techniques for Extension of Streamflow Records
Longer hydrological records are required for the planning of water resource systems. Sensitivity of a system is studied under various scenarios of hydrological inputs to understand its...

Friction Factor Choice in Hydraulic Simulation Models: Does It Matter?
(no paper) To model water distribution systems using computer hydraulic simulation, a user is required to select a form of head loss-flow relationship for each pipe in the network. The...

Artificial Neural Networks for Civil Engineers
Advanced Features and Applications
Sponsored by the Committee on Expert Systems and Artificial Intelligence of the Technical Council on Computer Practices of ASCE. This report illustrates...

Net Results
On any sort of cleanup, digging is expensive and intrusive, but when the cleanup involves unexploded artillery shells and other munitions, digging can also be dangerous. Understandably,...

Artificial Neural Networks for Civil Engineers
Fundamentals and Applications
Sponsored by the Committee on Expert Systems and Artificial Intelligence of the Technical Council on Computer Practices of ASCE. This report describes...

Pipe Network Analysis and Design in Developing Regions. Case Study: Novokuznetsk, Siberia
Pipe network analysis, design and optimization in developing countries poses some unique problems, yet, is of paramount importance. Under these conditions, there is frequently only sparse...

Use of Artificial Neural Networks for Agricultural Chemical Assessment of Rural Private Wells
The detection of agricultural chemicals in rural private wells has prompted for numerous studies at regional, state, and national levels. A principal concern arises from the fact that...

Neural Networks Predict Pesticide Leaching
The goal of this work was to determine whether artificial neural networks (ANN) can be used to predict the percentage of applied pesticide that leaches through 50 cm of turfgrass covered...

 

 

 

 

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