Real-time Scour Risk Identification and Information Management Evaluation (FHWA-OK-08-05 2190)

This report describes accomplishments and presents the design and evaluation of the information system, called ScourCast™. The ScourCast™ system is capable of providing plan of action and other bridge information in a single site, and real-time modeling and monitoring of flow rates at scour-critical bridges. System support for this project is provided to the University of Oklahoma by Vieux and Associates, Inc., Norman Oklahoma, for the Oklahoma Department of Transportation (ODOT), Bridge Division. This project develops design requirements and evaluates the effectiveness of a real-time scour risk identification system that can be used as a countermeasure for scour-critical bridges. The resulting system assists in the identification of elevated risk conditions and track agency responses in the context of a GIS and database documentation as a real-time operational system. The system utilizes GIS information to effectively communicate the location of scour-critical bridge locations that have recently experienced significant hydrologic events. The ScourCast™ system responds to a national need established by the updated National Bridge Inspection Standards (NBIS) regulation, 23 CFR 650.313.e.3.Final Report, October 2006-September 2008N

Reliability of supplemental irrigation systems

Typescript (photocopy).Digitized by Kansas Correctional Industrie

Hydrology and Floodplain Analysis

xvii, 795 p. : Il.; 25 c

Data Assimilation in hydrology: Variational Approach

International audiencePredicting the evolution of the components of the water cycle is an important issue both from the scientific and social points of view. The basic problem is to gather all the available information in order to be able to retrieve at best the state of the water cycle. Among some others methods variational methods have a strong potential to achieve this goal. In this paper we will present applications of variational methods to basic problems in hydrology: retrieving the hydrologic state of at a location optimizing the parametrization of hydrologic models and doing sensitivity analysis. The examples will come from surface water as well as underground water. Perspectives of the application of variational methods are discussed

UTILIZATION OF VERTICAL PROFILE OF DSD INTO BUILDING UP AN ALGORITHM FOR ESTIMATING GROUND RAINFALL AMOUNT USING RADAR

Purposes of this research are to observe and analyze the vertical profile of the rain drop size distribution (DSD), and to utilize the results into formulating a new method of estimating rainfall intensity and/or amount by making use of information detected by operational radar observations. Firstly, observations of DSD were carried out both by the Disdrometer in conjunction with an optical instrument on ground surface, and also by a vertical pointing VHF Doppler radar in Japan named the MU (Middle and Upper) Radar, which can detect vertical profiles of the Doppler spectrum that are composed of both the rain drop itself and air movements. Secondly, formulations to correlate the ground surface-based rainfall intensity to the radar reflectivity by taking into account both ⅰ) the difference in rainfall intensities between radar beam and rain gage height as well as ⅱ) the width of the Doppler spectrum were completed. Finally, the foymulation was applied into two case studies.One was to a operational volume scanning radar, in which we can directly use information from the vertical profiles of DSD observed by the MU Rader, thereby checking the feasibility of the formulation, (although we can not currently use the information on the spectrum width in the operational sense). The other was to the Blue River Basin in Oklahoma, U. S. A. covered by a NEXRAD radar observation domain, which can also operationally provide information on the Doppler spectrum width although the radar is not a vertical pointing radar.Purposes of this research are to observe and analyze the vertical profile of the rain drop size distribution (DSD), and to utilize the results into formulating a new method of estimating rainfall intensity and/or amount by making use of information detected by operational radar observations. Firstly, observations of DSD were carried out both by the Disdrometer in conjunction with an optical instrument on ground surface, and also by a vertical pointing VHF Doppler radar in Japan named the MU (Middle and Upper) Radar, which can detect vertical profiles of the Doppler spectrum that are composed of both the rain drop itself and air movements. Secondly, formulations to correlate the ground surface-based rainfall intensity to the radar reflectivity by taking into account both ⅰ) the difference in rainfall intensities between radar beam and rain gage height as well as ⅱ) the width of the Doppler spectrum were completed. Finally, the foymulation was applied into two case studies.One was to a operational volume scanning radar, in which we can directly use information from the vertical profiles of DSD observed by the MU Rader, thereby checking the feasibility of the formulation, (although we can not currently use the information on the spectrum width in the operational sense). The other was to the Blue River Basin in Oklahoma, U. S. A. covered by a NEXRAD radar observation domain, which can also operationally provide information on the Doppler spectrum width although the radar is not a vertical pointing radar