3 edition of Procedures for adjusting regional regression models of urban-runoff quality using local data found in the catalog.
Procedures for adjusting regional regression models of urban-runoff quality using local data
Anne B. Hoos
by U.S. Dept. of the Interior, U.S. Geological Survey, Books and Open-File Reports Section [distributor] in Nashville, Tenn, Denver, Colo
Written in English
|Statement||by Anne B. Hoos and Joy K. Sisolak.|
|Series||U.S. Geological Survey open-file report -- 93-39.|
|Contributions||Sisolak, Joy K., Geological Survey (U.S.)|
|The Physical Object|
|Pagination||iv, 39 p.|
|Number of Pages||39|
Water quality data are gathered from IEPA, USGS NWIS and USEPA STORET database. The data analysis is performed for the listed segments. A review of the available water quality data confirms the causes of impairments in BPGD, BPG09, BPG05, and RBD. DO concentration has violated the minimum 5 mg/l Illinois standard in BPGD. Acknowledgments The Protocol for Developing Nutrient TMDLs was developed under the direction of Donald Brady and Chris Zabawa of EPA’s Office of Wetlands, Oceans, and Watersheds.
Dwight et al. () investigated the associations between storm events, urban runoff and coastal water quality using a spatial and temporal analysis of 2 years of data in Orange County, California. Bacterial levels rose substantially across all sites during wet months, and river discharge and bacterial levels were all highest during the winter. Proceedings of the World Environmental and Water Resources Congress, held in Kansas City, Missouri, May , Sponsored by the Environmental and Water Resources Institute of ASCE. This collection contains papers focusing on the engineering challenges of balancing environmental and development issues while achieving a sustainable.
Using “Big Data” to Optimally Model Hydrology and Water Quality across Expansive Regions Watershed Modeling 1 [ Go to Page ] Application of Northeast Regional Climate Center Research Results for the Purpose of Evaluating and Updating Intensity-Duration-Frequency (IDF) . We developed sewage-specific microbial source tracking (MST) tools using enterococci bacteriophages and evaluated their performance with univariate and multivariate analyses involving data below detection limits. Newly isolated Enterococci faecalis bacterial strains AIM06 (DSM) and SR14 (DSM) demonstrated % specificity and 90% sensitivity to human sewage without detecting 68 Cited by: 8.
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Get this from a library. Procedures for adjusting regional regression models of urban-runoff quality using local data. [Anne B Hoos; Joy S Lizárraga].
Get this from a library. Procedures for adjusting regional regression models of urban-runoff quality using local data.
[Anne B Hoos; Joy K Sisolak; Geological Survey (U.S.)]. sw Availability of Open-File Report"Procedures for Adjusting Regional Regression Models of Urban-Runoff Quality Using Local Data," sw Manning n for Corrugated Metal Culverts sw Distribution of the Revised Manual, "Streamgaging Cableways,".
Statistical operations termed model-adjustment procedures (MAP's) can be used to incorporate local data into existing regression models to improve the prediction of urban-runoff quality.
Procedures for adjusting regional regression models of urban-runoff quality using local data / by Anne B. Hoos and Joy S. Lizárraga. US1 IN W28 Minerals yearbook.
List of Figures Figure Page "typical changes in runoff flow resulting from paved surfaces 4 Pre- and postdevelopment hydraulics 4 Urban runoff pollution prevention and control planning process 19 Watersheds in Lewiston, Maine 25 Total suspended solids (TSS) concentrations 39 Pipers Creek watershed 48 Example stage discharge rating curve.
Urban Stormwater Quality, Event-Mean Concentrations, dure that uses local data to adjust the regional regression equations developed by Driver and Tasker. INTRODUCTION 3 MEACHAM regional regression models of urban-runoff quality using local data: U.S.
Geological Survey Water-Supply Paper33 p. Abstract This manual provides technical assistance to state and local water quality management planners to enable them to quantify within reasonable limits the urban non-point water pollution problem in a local planning area without extensive data gen- eration, and to make a preliminary evaluation of cost effec- tive abatement and control practices.
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: Stochastic Empirical Loading and Dilution.
Model (SELDM) Version By Gregory E. Granato. Chapter 3. Section C, Water Quality, Book 4, Hydrologic Analysis and Interpretation. Prepared in cooperation with the. U.S. Department of Transportation, Federal Highway Administration, Office of Project Development and Environmental ReviewCited by: 7.
Unfortunately, this book can't be printed from the OpenBook. If you need to print pages from this book, we recommend downloading it as a PDF.
Visit to get more information about this book, to buy it in print, or to download it as a free PDF. Introduction to Hydrology has been updated throughout with new computer approaches and coverage of the use of spreadsheets woven into problem-solving techniques when appropriate.
Two new features have been added to each chapter to enhance student comprehension: an introductory statement of contents and a conclusion summing up key bility: This item has been replaced by.
In the context of global urbanization, urban flood risk in many cities has become a serious environmental issue, threatening the health of residents and the environment. A number of hydrological studies have linked urban flooding issues closely to the spectrum of spatial patterns of urbanization, but relatively little attention has been given to small-scale catchments within the realm of urban Cited by: In general, the proper kernel function of SVM called support vector regression (SVR) is used to rectify regression issues, which is utilized to construct nonlinear data-driven models for small samples, local minima, and high-dimensional space (Aryafar et al.,Solgi et al., ).
In recent years, several studies have investigated by: 1. One such model developed using in situ data was adapted to operate with remote sensing derived leaf area index (LAI) data and gridded weather datasets.
The model, known as the EGM model, uses a four scalar approach to account for biophysical parameters. Full text of "Manual of practice on urban drainage" See other formats.
List of Acronyms Hydromodification Management Plan v Use the default value ofand adjust only if supported by local data and conditions. DEEPFR. was calculated for each combination using the USGS regional regression for Q2, as described above.
Contents PREFaCE 8. The San Francisco Bay Regional Water Quality Control Board (Water Board) regulates surface water and groundwater quality in the Region. The area under the Water Board's jurisdiction comprises all of the San Francisco Bay segments extending to the mouth of the Sacramento-San.
Water Quality Prediction Models for Storm Water Runoff in an Urban Watershed 9th Symposium on Groundwater Hydrology, Quality, and Management [ Go to Page ] Aquifer Storage and Recovery System: Operations, Management, and Policy [ Go to Page ].
Urban Runoff Program, and Rural Clean Water Program. Mr. Davenport has led the effort to document SAS procedure to estimate and forecast linear regression models for time series data.
QAP. quality-assurance plan (USGS) QAPP. California Regional Water Quality Control Board, Santa Clara Valley Water District, Santa Clara, CA.These analyses consisted on the development of regression models. The method of least squares (MLS) was utilized, as well as R 2 and co-linearity to reach the best fit.
These later analyses also provide information about the quality of the models obtained as described by [38,39]. In addition, the accuracy of the models was quantified through Author: Carlos Rey-Mahía, Luis A. Sañudo-Fontaneda, Valerio C. Andrés-Valeri, Valerio C.
Andrés-Valeri, Feli.These models are often calibrated using experimental data to obtain optimal fidelity-to-data but compensating effects between calibration parameters can complicate the model selection process due to the non-uniqueness of the solution.
One way to reduce this ambiguity is to include a robustness requirement to the selection criteria.