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2 edition of Estimation of flood peaks from channel characteristics in Ohio found in the catalog.

Estimation of flood peaks from channel characteristics in Ohio

Donald K. Roth

Estimation of flood peaks from channel characteristics in Ohio

by Donald K. Roth

  • 105 Want to read
  • 12 Currently reading

Published by U.S. Dept. of the Interior, Geological Survey, Open-File Services Section, Western Distribution Branch in Columbus, Ohio, Denver, Colo .
Written in English

    Subjects:
  • Flood forecasting -- Ohio.

  • Edition Notes

    Statementby Donald K. Roth ; prepared in cooperation with the Ohio Department of Transportation and the U.S. Department of Transportation, Federal Highway Administration.
    SeriesWater-resources investigations report -- 85-4175
    ContributionsOhio. Dept. of Transportation, United States. Federal Highway Administration, Geological Survey (U.S.)
    The Physical Object
    Paginationiv, 63 p. :
    Number of Pages63
    ID Numbers
    Open LibraryOL22408905M

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Estimation of flood peaks from channel characteristics in Ohio by Donald K. Roth Download PDF EPUB FB2

Get this from a library. Estimation of flood peaks from channel characteristics in Ohio. [Donald K Roth; Ohio. Department of Transportation.; United States. Federal Highway Administration.; Geological Survey. Digital flood-inundation maps for selected reaches of South Fork Licking River, Raccoon Creek, North Fork Licking River, and the Licking River in Licking County, Ohio, were created by the U.S.

Geological Survey (USGS), in cooperation with the Ohio Department of Transportation; U.S. Department of Transportation, Federal Highway Administration. As an independent alternative method to estimate flood-frequency characteristics, regression equations have been published to estimate flood-frequency characteristics from channel geomorphic characteristics, in which the explanatory variable is width of the active channel and the average standard errors of estimate range from about 42 to peaks higher than a selected base are used without regard to the time of occurrence.

Analysis of peak flow data at gaging stations defines the relation between the magnitude ofthe peak flow and its recurrence interval or probability of occurrence. In the annual flood series, a flood discharge that has a recurrence interval of 50 years may.

Comparison of models for estimating flood quantiles in New Hampshire and Vermont Article in JAWRA Journal of the American Water Resources Association 35(5) - June with 11 Reads. sw Availability of Techniques and Methods 4-B5, Guidelines for Determining Flood Flow Frequency, Bulletin 17C; sw Peak Flow File: Status and plans for resolving cleanup effort and an opportunity to preview a new report: The U.S.

Geological Survey Peak-Flow File Data Verification Project, ; sw Identification, Correction, and Revision of Discharges Measured with SxS Pro.

The overestimations of flood peaks by WaterGAP could be further reduced in the future by implementing river floodplain processes in the model. In practice, adjacent floodplains act as temporal water storage and thereby, reduce flood peaks and flow velocity.

In practise, a number of distributions have been suggested for flood frequency by: 3. Modelling approaches. Computer models have been used to simulate the behaviour of aquatic systems since the mid s (for example, the Stanford Watershed Model, Crawford and Linsley, ).Models capable of simulating storm water quality and quantity appeared in the earlier s and were developed primarily by US government agencies, such as the US Environment Protection by: Floods are the most common natural disasters that affect societies around the world.

One of the major problems in water resources engineering design is the estimation of maximum flood discharges. A schematic visualizing the difference between the traditional large‐scale flood risk estimation method and that proposed in this research.

The left panel (the traditional approach) shows a series of static hazard layers for a region (a single basin in this case), each of which are intersected against asset data and depth‐damage functions Cited by: 4. The Rational equation is the simplest method to determine peak discharge from drainage basin runoff.

It is not as sophisticated as the SCS TR method, but is the most common method used for sizing sewer systems. Rational Equation: Q=ciA The Rational equation requires. Beargrass Creek has several flood damage reduction structures, the most notable of which is a very large levee at its outlet on the Ohio River (Figure a).This levee was built following a disastrous flood on the Ohio in Januaryand the levee crest is an elevation of 3.

Andy D. Ward, Ph.D, is a professor in the Department of Food, Agricultural and Biological Engineering, The Ohio State University and has been a member of the faculty since Inhe obtained a in civil engineering from Imperial College, London, England.

In andDr. Ward obtained an M.S. and Ph.D. respectively in agricultural engineering from the University of Kentucky. Technical Guide. River & Stream Systems: Flooding Hazard Limit.

Ontario Ministry of Natural Resources Water Resources Section W ater Street, 5 th Floor, South Tower, P.O. Box Peterborough. Science -- Forecasting. See also what's at your library, or elsewhere. Broader terms: Science; Forecasting; Narrower term: Environmental sciences -- Forecasting; Filed under: Envi.

Briefly tracing the history of hydrologic modeling, this paper discusses the progress that has been achieved in hydrologic modeling since the advent of computer and what the future may have in store for hydrologic modeling. Hydrologic progress can be described through the developments in data collection and processing, concepts and theories, integration with allied sciences, computational and Cited by: 7.

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It is eclectic, practical, in places a handbook, a guide to fieldwork, engagingly personal and occasionally opinionated. and, perhaps most engaging to me, in places the authors offer personal views as well as. epa/ construction grants program information value engineering \ *.

- •. case studies and bilviats for proposals and reports a supplement to the value engineering workbook for construction grants projects june u.s. environmental protection agency office of water program operations municipal construction division washington, d.c.

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The measurement of a complete succession of channel-belt deposits to estimate paleo-channel depth is difficult to do by using well logs alone, because the upper channel deposit may be either partially truncated by an overlying channel or mixed with overbank deposits (e.g., Lorenz et al., ).

Combing of outcrop and core data would increase Cited by: Environmental sciences -- Forecasting. See also what's at your library, or elsewhere. Broader terms: Environmental sciences; Science -- Forecasting; Forecasting; Narrower terms: E.Thinleaf alder Site characteristics: Thinleaf alder is most common on wet to moist sites (review by []).It is a frequent component of streamside vegetation throughout mountainous regions of western North America [].It is considered an indicator of riparian or subirrigated sites on the Shoshone National Forest, Wyoming []; of moist, well-drained sites—especially streambanks and springs at low.