4 edition of Flood-frequency prediction methods for unregulated streams of Tennessee, 2000 found in the catalog.
Flood-frequency prediction methods for unregulated streams of Tennessee, 2000
George S. Law
by U.S. Dept. of the Interior, U.S. Geological Survey, U.S. Geological Survey, Branch of Information Services [distributor] in Nashville, Tenn, Denver, CO
Written in English
|Other titles||Flood frequency prediction methods for unregulated streams of Tennessee, 2000|
|Statement||by George S. Law and Gary D. Tasker ; prepared in cooperation with the Tennessee Department of Transportation.|
|Series||Water-resources investigations report ;, 03-4176|
|Contributions||Tasker, Gary D., Tennessee. Dept. of Transportation., Geological Survey (U.S.)|
|LC Classifications||GB701 .W375 no. 03-4176|
|The Physical Object|
|Pagination||iv, 79 p. :|
|Number of Pages||79|
|LC Control Number||2003373469|
D Flood Frequency Analysis Methods This section outlines general features of statistical methods used in a flood insurance study, including providing basic statistical tools that are frequently needed. It is recommended that extremal analysis of annual maxima be performed using the Generalized Extreme Value (GEV). The current methodology recommended for flood-frequency analyses by U.S. Federal agencies is presented in Bulletin in 17 was first published in , minor corrections were made in resulting in Bulletin 17A, which was later succeeded by Bulletin 17B published in Bulletin 17B sought to resolve ambiguities in the recommended .
technique for estimating magnitude and frequency of floods in tennessee Information is presented for estimating the magnitude and frequency of floods on natural streams in Tennessee. Flood-frequency characteristics are defined for gaging stations in Tennessee and adjoining states having 10 or more years of record not significantly affected. flood frequency analysis of partial duration series using soft computing techniques for mahanadi river basin in india a thesis submitted for the award of the degree of doctor of philosophy in .
Overview of flood frequency analyses. Flood frequency analyses are used to predict the probability of occurrence of different magnitude floods. The USACE follows a flood frequency analysis method outlined in Bulletin 17B (last updated ), based on fitting a Log Pearson Type III (LP3) probability distribution to annual peak flow data. Many other sources detail the . The Online Books Page. Browsing subject area.
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Flood-Frequency Prediction Methods for Unregulated Streams of Tennessee, By George S. Law and Gary D. Tasker ABSTRACT Up-to-date flood-frequency prediction methods for unregulated, ungaged rivers and streams of Tennessee have been developed.
Pre-diction methods include the regional-regression method and the newer region-of-influence Size: 4MB. Flood-frequency prediction methods for unregulated streams of Tennessee, (OCoLC) Online version: Law, George S. Flood-frequency prediction methods for unregulated streams of Tennessee, Up-to-date flood-frequency prediction methods for unregulated, ungaged rivers and streams of Tennessee have been developed.
Prediction methods include the regional-regression method and the newer region-of-influence method. The prediction methods were developed using stream-gage records from unregulated streams draining basins having from 1 percent to about 30.
Additional Physical Format: Print version: Law, George S. Flood-frequency prediction methods for unregulated streams of Tennessee, Nashville, Tenn.: U.S. Dept. SIRStreamflow-Characteristic Estimation Methods for Unregulated Streams of Tennessee WRIRFlood-Frequency Prediction Methods for Unregulated Streams of Tennessee, WRIRFlood Frequency and Storm Runoff of Urban Areas of Memphis and Shelby County, Tennessee.
The region-of-influence method and regional-regression equations are used to predict flood frequency of unregulated and ungaged rivers and streams of Tennessee. The prediction methods have been developed using strem-gage records from unregulated streams draining basins having % total impervious area.
A computer application automates the calculation of the flood. Law, and G. D Tasker, “Flood-Frequency prediction methods for unregulated streams of Tennessee.” Water Resources Investigations ReportNashville, Tennessee, Cited by: 5. (Law and Tasker, ). Since the development of the original flood-frequency ROI program for unregulated streams in Tennessee, we have obtained 13 additional years of streamflow record for many of the gages used to develop the prediction methods.
During this period, specifically. Magnitude and Frequency of Floods for Rural, Unregulated Streams of Tennessee by L-Moments Method Hongxiang Yan "Magnitude and Frequency of Floods for Rural, Unregulated Streams of Tennessee by L-Moments Method" ().
Theses and the better of the two methods tested for predicting flood frequency for unregulated streams and rivers in Cited by: 6. Flood-frequency prediction methods for unregulated streams of Tennessee, / Flood frequency prediction methods for unregulated streams of Tennessee, Shipping list no.: P.
Includes bibliographical references (p. Also available via Internet at the USGS web site. Some prediction models are presented for determining of flood frequency factor (K). The proposed regression model (Model 4) and GEP model (Model 7) give a fast and practical way of estimating the.
Flood-Frequency Prediction Methods for Unregulated Streams of Tennessee, Water Resources Investigations ReportNashville, Tennessee. McMahon, T. and Srikanthan, R., Log Pearson type 3 distribution - is it applicable to flood frequency analysis of Australian streams?.
Consequently, conventional methods of frequency analysis aro not suit11ble for obtaining flood estimates from the data series. Tlmo.,erios analysis is a versatile approach to floodfrequency detorminations when conventional statistical meth ods are not Appropriate. The basic nrategy of timc-scrios onolyli1 ls 'lo treaiFile Size: 5MB.
Robbins, C.H.,Synthesized flood frequency for small urban streams in Tennessee: U.S. Geological Survey Water-Resources Investigations Report24 p. Figure 1. Flood-frequency area map for Tennessee. (PostScript file of Figure 1.) Figure 2. The 2-year hour rainfall in Tennessee. (PostScript file of Figure 2.).
Science -- Forecasting. See also what's at your library, or elsewhere. Broader terms: Science; Forecasting; Narrower term: Environmental sciences -- Forecasting; Filed under: Envi. Flood Frequency Analysis fills this gap by presenting many of these distributions and estimation procedures in a unified format within a single, self-contained book.
Focusing on distribution families popular within the hydrologic community, the authors discuss three parameter estimation methods for each distribution: the method of moments, the 5/5(1).
Estimation of Flood-Frequency Discharges for Rural, Unregulated Streams in West Virginia: USGS Scientific Investigations Report [Jeffrey B; Wiley, John T. Atkins] on *FREE* shipping on qualifying offers.
Flood-frequency discharges were determined for streamgage stations having a minimum of 9 years of record in West Virginia and Author: John T. Atkins. The resulting line is the flood frequency curve. The likelihood of a particular event is calculated from its flood frequency as follows: F = P × = [ m / (n+1) ] × For example, the chance of a year flood occurring this year is:.
Flood Frequency Analysis fills this gap by presenting many of these distributions and estimation procedures in a unified format within a single, self-contained book. Focusing on distribution families popular within the hydrologic community, the authors discuss three parameter estimation methods for each distribution: the method of moments, the.
Current Report Flood-Frequency Characteristics of Wisconsin Streams Water-Resources Investigations Report 03– FULL TEXT: HTML - PDF. ABSTRACT - Flood-frequency characteristics for gaged sites on Wisconsin streams are presented for recurrence intervals of 2 to years using flood-peak data collected through water year Equations of the.
Time-series analysis is a versatile approach to flood-frequency determinations when conventional statistical methods are not appropriate. The basic strategy of time-series analysis is to treat each value of the regulated annual peak-flow series as a combination of two elements-a deterministic component and a stochastic component.Bulletin B recommends a historical flood moment adjustment to account for knowledge that a given number of events exceeded some discharge threshold (Qh) in a period of known duration prior to the systematic flood record.
This adjustment, in effect, "fills in the ungaged portion of the historic period with an appropriate number of replicates of the below-Qh portion of the .StreamStats Application.
StreamStats is a Web application that provides access to an assortment of Geographic Information Systems (GIS) analytical tools that are useful for water-resources planning and management, and for engineering and design purposes.
The map-based user interface can be used to delineate drainage areas for user-selected sites on streams, and then .