Climatic Perspective on the 1993 Mississippi R. Flood
The 1993 summer flooding in the Upper Mississippi River Basin was the most devastating flood of modern times with damage estimates in the range of 15-20 billion dollars. The paper describes...
Estimation of Design Surge Heights by Utilizing Meteorologic and Oceanographic Data
Data on cyclonic storm surge height have been generated with the help of a statistical simulation model. Data on observed maximum cyclonic wind speed and the length of the continental...
Evaluating an Autoregressive Model for Stream Flow Forecasting
Daily stream discharge generated by an Autoregressive Model is helpful in the design and risk assessment of temporary riverine construction projects. This case study uses actual daily...
Problems of Stream Flood Simulation and Prediction
The article presents a report on the natural flooding in a stream and the problems encountered when simulating and predicting stream floods. The complexity of flood characteristics, the...
Validation and Application of THE Model's Trip Table Estimation Process
The Highway Emulator (THE) Model is a microcomputer based travel demand forecasting program maintained by the Central Transportation Planning Staff (CTPS). In addition to the traditional...
Estimating Network Model Parameters from Mail Survey Data
Network models are generally based on a four-step modeling process; trip generation, trip distribution, modal split, and trip assignment. Microcomputer implementations of these steps have...
Corridor Analysis Using QRS II Route 9 Case Study
This traffic modeling project is part of a larger planning study of the Route 9 corridor through the Town of Hadley and parts of Amherst and Northampton. The Pioneer Valley Planning Comission...
Travel Demand with Forecasting Microsimulation
Transportation planners forecast travel demand using techniques that are based on dissagregate models estimated from cross-sectional data. Their forecasts are usually single future time...
Validating a Citywide Traffic Planning Model
A traffic planning model can improve the public agency's ability to forecast future traffic and plan appropriate roadway intrastructure. However, the usefulness of these models depends...
Trip Generation Analysis by Artificial Neural Networks
A new approach for conducting trip generation analysis based on the concepts of artificial neural networks is presented in this paper. First, a brief introduction to the concepts of artificial...
Ambient Air Monitoring to Support HLW Repository Site Characterization
This paper is a description of the program that has been operating in support of the Yucca Mountain site site characterization activities since 1985.The ambient air monitoring is designed...
Stochastic Forecasts in Reservoir Planning and Operations
The factors involved in stochastic forecasts of water supply and demand are discussed in relationship to reservoir planning and operating decisions....
Hydrologic Forecasting?What are the Issues?
The paper briefly describes hydrologic forecasting techniques that are being used today and raises issues that should be addressed as new hydrologic forecast systems are developed and...
Using Forecasts to Improve Reservoir Operations
This review considers methodologies that have or can be employed to incorporate streamflow forecasts into reservoir policies and operating decisions. These include the use of streamflow...
Small Area Water Demand Forecasting at the Salt River Project
The Salt River Project Small Area Water Demand Forecast (forecast) is designed to provide water resource planners with long-range water demand forecasts disaggregated by user type and...
A Comparison of Short Term Forecast Methods for Municipal Water Use
Water utilities routinely develop long range demand forecasts for use in the normal planning activities. In recent years, many utilities have sought to develop more short-term demand forecasts...
Computerized Approach for Forecasting the Rate of Cost Escalation
This paper reviews the treatment of escalation in construction costs. The causes of escalation are outlined and the effect of escalation on the contractor and the owner is discussed. Various...
Infrastructure Condition Forecasting Using Neural Networks
Condition forecasting models are critical components of any infrastructure management system. infrastructure condition assessed through periodic inspections which assign ratings to various...
Projecting Land Use/Transportation Interactions
The inherent uncertainty in forecasting the interaction between transportation capacity and induced development has resulted in insufficient analysis of this dynamic in the transportation...
Sensitivity Analysis of Financial Forecasts for MBTA Infrastructure Investment Program
This paper describes a financial analysis methodology and model developed for the Massachusetts Bay Transportation Authority (MBTA), which provides comprehensive projections of the relationships...
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