Precipitation-runoff Modeling System for the Blackwood Creek Drainage Basin, Placer County, California PDF Download
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Author: James Charles Kirschner
Publisher:
ISBN:
Category : Blackwood Creek (California, Placer County) Watershed
Languages : en
Pages : 184
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Book Description
Author: James Charles Kirschner
Publisher:
ISBN:
Category : Blackwood Creek (California, Placer County) Watershed
Languages : en
Pages : 184
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Book Description
Author: Yasar Inci Tekeli
Publisher:
ISBN:
Category :
Languages : en
Pages : 178
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Book Description
Author: Lenore Y. Nakama
Publisher:
ISBN:
Category : Precipitation (Meteorology)
Languages : en
Pages : 54
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Book Description
Author: H. R. Hejl
Publisher:
ISBN:
Category : Precipitation (Meteorology)
Languages : en
Pages : 44
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Book Description
Author: David L. Thirkill
Publisher:
ISBN:
Category :
Languages : en
Pages : 242
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Book Description
Author:
Publisher:
ISBN:
Category : Hydrologic models
Languages : en
Pages : 0
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Book Description
Johnson Creek, in the Portland, Oregon metropolitan region, has several pollutants on the U.S. Environmental Protection Agency's (EPA) 303(d) list including excess heat, low dissolved oxygen, and harmful bacteria. Understanding streamflow response to precipitation events is an important component to evaluating water quality trends and calculating the Total Maximum Daily Load (TMDL) for pollutants of concern. Investigating the streamflow-precipitation relationship on the subwatershed scale can give insight to the hydrologic response of a given watershed. However, developing rating curves for several subwatersheds can be cost and time prohibitive. The objective of this project was to develop a hydrologic model using the Precipitation Runoff Modeling System (PRMS), developed by the United States Geological Survey (USGS) to validate streamflow estimates for subwatersheds lacking a significant period of record. ESRI's ArcMap, a geographic information system (GIS), was used to characterize the target drainage basins and extract basin-specific parameters for upper watersheds of Johnson Creek. The Johnson Creek Upper Watershed (JCUW) model was calibrated to an existing streamflow gage at Regner Road, in Gresham, Oregon. Calibrated parameters were substituted into a second PRMS model characterizing the Sunshine Creek Subwatershed, which lies within the JCUW. The Sunshine Creek model was used to validate a flow time-series derived from a pressure transducer and a rating curve.
Author: John C. Risley
Publisher:
ISBN:
Category : Hydrologic models
Languages : en
Pages : 37
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Book Description
Author:
Publisher:
ISBN:
Category : Hydrologic models
Languages : en
Pages : 428
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Book Description
Author: U.S. Department of the Interior
Publisher: CreateSpace
ISBN: 9781499617023
Category : Reference
Languages : en
Pages : 50
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Book Description
This report documents the development of a precipitation-runoff model for the South Fork Flathead River Basin, Mont. The Precipitation-Runoff Modeling System model, developed in cooperation with the Bureau of Reclama-tion, can be used to simulate daily mean unregulated stream-flow upstream and downstream from Hungry Horse Reservoir for water-resources planning. Two input files are required to run the model. The time-series data file contains daily precipi-tation data and daily minimum and maximum air-temperature data from climate stations in and near the South Fork Flathead River Basin. The parameter file contains values of parameters that describe the basin topography, the flow network, the distribution of the precipitation and temperature data, and the hydrologic characteristics of the basin soils and vegetation.
Author: Thorsten Wagener
Publisher: World Scientific
ISBN: 1783260661
Category : Science
Languages : en
Pages : 333
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Book Description
This important monograph is based on the results of a study on the identification of conceptual lumped rainfall-runoff models for gauged and ungauged catchments. The task of model identification remains difficult despite decades of research. A detailed problem analysis and an extensive review form the basis for the development of a Matlab® modelling toolkit consisting of two components: a Rainfall-Runoff Modelling Toolbox (RRMT) and a Monte Carlo Analysis Toolbox (MCAT). These are subsequently applied to study the tasks of model identification and evaluation. A novel dynamic identifiability approach has been developed for the gauged catchment case. The theory underlying the application of rainfall-runoff models for predictions in ungauged catchments is studied, problems are highlighted and promising ways to move forward are investigated. Modelling frameworks for both gauged and ungauged cases are developed. This book presents the first extensive treatment of rainfall-runoff model identification in gauged and ungauged catchments.
