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Friday, November 13, 2020 | History

4 edition of Analytical probabilistic models for urban stormwater erosion potential found in the catalog.

Analytical probabilistic models for urban stormwater erosion potential

Jennifer Morton Harris

Analytical probabilistic models for urban stormwater erosion potential

  • 317 Want to read
  • 15 Currently reading

Published by National Library of Canada in Ottawa .
Written in English


Edition Notes

Thesis (M.A.Sc) -- University of Toronto, 2002.

SeriesCanadian theses = -- Th`eses canadiennes
The Physical Object
FormatMicroform
Pagination2 microfiches : negative.
ID Numbers
Open LibraryOL21241465M
ISBN 100612738612
OCLC/WorldCa53977697

Join Brian McLane to explore a new approach and the best practices in implementing erosion and sediment control (ESC) methods, practices, and applications in urban areas. McLane will start the webcast with a discussion with how erosion and sediment transportation occurs and the basic terms used when discussing erosion and sediment plans. reconstruction of the city’s stormwater infrastructure. Although the New Orleans Stormwater plan calls for a significant expansion of green infrastructure to manage the city’s chronic flooding, the city initially had difficulty demonstrating the benefits of green infrastructure under FEMA’s required benefit-cost analysis because the city 1).


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Analytical probabilistic models for urban stormwater erosion potential by Jennifer Morton Harris Download PDF EPUB FB2

This important book outlines a new method that uses probability tools to model how stormwater behaves and interacts in a combined- or single-system municipal water system.

Complete with sample problems and case studies illustrating how concepts really work, the book presents a cost-effective, easy-to-master approach to analytical modeling of Cited by: It presents Analytical Probabilistic Stormwater Models (APSWM), which allow for the estimation of the frequency of several variables of relevance for hydrologic analysis and design using closed-form analytical equations.

This chapter introduces uncertainty analysis applied to urban catchments, particularly to the performance of Best Management Author: Yiping Guo, Daeryong Park, Alfonso Mejia, Jorge Gironás, Larry Roesner. Probabilistic assessment of urban runoff erosion potential J.A.

Harris and B.J. Adams Abstract: At the planning or screening level of urban development, analytical modeling using derived probability distribution theory is a viable alternative to continuous simulation, offering considerably less computational effort.

A new set of analytical probabilistic models is developed for predicting the erosion potential of urban stormwater runoff. The marginal probability distributions for the duration Analytical probabilistic models for urban stormwater erosion potential book a hydrograph in which the critical channel velocity is exceeded (termed exceedance duration) are computed using derived probability distribution by: 1.

Understanding how to properly manage urban stormwater is a critical concern to civil and environmental engineers the world over. Mismanagement of stormwater and urban runoff results in flooding, erosion, and water quality problems. In an effort to develop better management techniques, engineers have come to rely on computer simulation and advanced mathematical modeling techniques to help plan.

Book reviews Urban Stormwater Management Planning With Analytical Probabilistic Models by Barry J. Adams & Fabian Papa Published by John Wiley & Sons Ltd, Baffms Lane, Chichester, West Sussex P 1UD, UK; price £; + xviii pp.; ISBN This book.

ABStRAct Analytical probabilistic models (APM) are closed form mathematical expressions for long term system's output performance derived from the probability distribution of the system's input variables. In order to apply the APM for urban.

The optimization technique employs analytical probabilistic models for stormwater management planning and analysis which are in a mathematically closed form and thus easily integrated into an. Analytical probabilistic models for urban stormwater erosion potential.

thesis, Department of Civil Engineering Storm water management model, version 4: user's manual Jan The erosion of cohesive mixed deposits: implications for sewer flow quality modelling.

Book review Full text access Urban Stormwater Management Planning with Analytical Probabilistic Models, Barry J. Adams and Fabian Papa.

Wiley, J.W Davies. Page Zhang, S., and Guo, Y. An analytical probabilistic model for evaluating the hydrologic performance of green roofs. The ASCE Journal of Hydrologic Engineering, 18(1), 19– Paper II Zhang, S., and Guo, Y.

An explicit equation for estimating the stormwater capture efficiency of rain gardens. The ASCE Journal of. probabilistic models or analytical probabilistic models, can be used as an alternative to numerical hydrologic models for the planning and design of stormwater management facilities for urban areas.

The starting point of the development of analytical proba- bilistic models is the statistical analysis of long-term rainfall.

This paper presents methodology and major procedures for the development of analytical urban storm water quality models following derived probability distribution theory, which involves conceptualization of the three major components, i.e., the rainfall–runoff transformation, pollutant buildup, and.

Building upon previous work, methods and procedures are proposed here so that flood routing for stormwater management purposes can be completed probabilistically using analytical equations.

Results from the proposed methods and procedures are compared with design storm modeling results for a number of routing scenarios.

Urban stormwater management planning with analytical probabilistic models. [Barry J Adams; Fabian Papa] Book, Internet Resource: All Authors / Contributors: Barry J Adams; Fabian Papa.

Find more information about: ISBN: OCLC Number. Other reviews of contaminant models (e.g. the review of sediment models by Merritt et al., ) are not focussed on urban stormwater or LID. These previous reviews provide a valuable background on the features of a range of models, methods for representing key processes, and categorisations of the models.

A new set of analytical probabilistic models is developed for predicting the erosion potential of urban stormwater runoff. The marginal probability distributions for the duration of a hydrograph in which the critical channel velocity is exceeded (termed exceedance duration) are computed using derived probability distribution theory.

Yiping Guo, Jianping Dai, Expanded analytical probabilistic stormwater models for use in watershed and master drainage planning, Canadian Journal of Civil Engineering, /L, 36, 6. @article{osti_, title = {Urban stormwater management planning with analytical probabilistic models}, author = {Adams, B J}, abstractNote = {Understanding how to properly manage urban stormwater is a critical concern to civil and environmental engineers the world over.

Mismanagement of stormwater and urban runoff results in flooding, erosion, and water quality. Review of Urban Stormwater Quality Models: Anthony J.

Jakeman, A review of catchment-scale water quality and erosion models and a synthesis of future prospects, Environmental Modelling & Software, /t, (). Crossref. Jing Wang, Barton A. Forman, Allen P. Davis, Probabilistic Stormwater Runoff and Water Quality. Building Performance Analysis Conference and SimBuild Co-organized by ASHRAE and IBPSA-USA Chicago, IL SeptemberDEVELOPMENT OF THE URBAN SURFACE MANAGEMENT SOFTWARE FOR PVS AND STORMWATER WITH CONNECTIVITY TO URBAN MODELING INTERFACE Jung Min Han1, Christoph Reinhart2 1Harvard University Graduate School of Design.

model, such as that employed by Chen et al. (), could be used to calibrate and improve the performance of 1D/1D models. Many urban watersheds lack adequate monitoring data to calibrate models such as SWMM. In such cases, Hassini and Guo () presente d an analytical probabilistic modeling approach to estimate runoff hydrographs and flood.

The Objective of this research is to develop an Analytical Probabilistic Models for Urban Stormwater Quality analysis. As an alternative approach to continuous simulation, analytical runoff quality models have been proposed for estimating runoff pollutant loads.

Based on concepts from statistics and probability theory, these models have been. The present work is concerned with the development of a set of tools for the incorporation of various control measures - best management practices into an analytical probabilistic modeling approach for urban storm-water total maximum daily load (TMDL) estimation.

Control measures are divided into two major groups - upstream and downstream, each requiring application of separate modeling. Urban Stormwater Management Planning with Analytical Probabilistic Models: Adams, Barry J., Papa, Fabian: Books - ews: 1. Urban Stormwater Management Planning with Analytical Probabilistic Models Understanding how to properly manage urban stormwater is a critical concern to civil and environmental engineers the world over.

Mismanagement of stormwater and urban runoff results in flooding, erosion, and water quality problems. potential for aviation and. The use of green roofs (GRs) is becoming popular in sustainable urban stormwater management. Contributions of GRs to urban runoff control and management are primarily attributed to their retention and detention abilities, which not only reduce runoff volume but also delay and attenuate runoff peak discharge (Berndtsson ; Mobilia et al.

; Stovin et al. A LOTUS spreadsheet program, based on the analytical probabilistic models (Adams and Bontje, ) and a multi-efficiency model (Weatherbe, ), has been developed to determine the following items for each subcatchment as well as the planning area.

and/or Sieve Analysis. Cohesive bed and bank: Jet Test or Tables Model Summary Erosion Potential (Target Ep = ) Probability of Stream. Channel Instability. 27 Model Summary NoCal. SoCal * Discussion to follow on probabilistic models by Ashmita.

30 Out-of-Stream Management. 31 Out-of-Stream Management Qc. Pre. The probabilistic flood damage potential curve can be transformed into the flood damage area chart with stipulated reliability values for flood risk management in urban areas.

Because probabilistic damage potential curves are not unique, additional treatment is needed to obtain the AED for evaluating the effectiveness of a flood control project. The Environmental Protection Agency SWMM model. Urban Hydrology, Hydraulics, and Stormwater Quality is a great textbook for students in civil and environmental engineering, as well as a handy resource for professional civil engineers, hydrologists, urban planners, and environmental engineers.

Open Access to Research Assignments, Academic Projects, Student Publications and academic work in the areas of Business, Arts, Psychology, Science, Engineering, Social and Human Studies, Finance, Chemistry, Politics and more from Atlantic international University Students. Distance learning degree programs for adult learners at the bachelors, masters, and doctoral level.

Analytical Probabilistic Models (APMs) • Research in early ’s at the University of Toronto • Alternative to continuous period simulation for analysis of urban drainage systems • Comparative studies have validated APM results • Many applications for the planning of urban runoff quantity/quality control systems 9.

Erosion potential Bed material size Distance to grade control Increase in Q2 Importance of balancing the post-development sediment transport to the pre-development setting over the entire range of erosive flows rather than a single flow Load ratio, a.k.a. erosion potential -explained nearly 60% of the variance.

BOX Volume-Based Stormwater Goals in Pennsylvania Pennsylvania has developed a stormwater Best Management Practices manual to support the Commonwealthâ s Storm Water Management Act. This manual and an accom- panying sample ordinance advocates two methods for stormwater control based on vol- ume, termed Control Guidance (CG) 1 and 2.

Storm Water Management Model (SWMM) SWMM is a software application that is used widely throughout the world for large-scale planning, analysis, and design related to stormwater runoff, combined and sanitary sewers, and other drainage systems in urban areas –although there are many applications for drainage systems in non-urban areas as well.

Urban Erosion Potential Risk Mapping with GIS Amanda M. Weikmann Thesis submitted to the faculty of the Virginia Polytechnic Institute and State University in partial fulfillment of the requirements for the degree of Master of Science In Civil Engineering Randel L.

Dymond, Chair Clayton C. Hodges Kevin D. Young Decem Blacksburg, VA. Green (vegetated) roofs have gained global acceptance as a technology that has the potential to help mitigate the multifaceted, complex environmental problems of urban centers.

While policies that encourage green roofs exist at the local and regional level, installation costs remain at a premium and deter investment in this technology. The objective of this paper is to quantitatively integrate.

The Hydrologic Simulation Program‑FORTRAN (known as HSPF) is a mathematical model developed under the Environmental Protection Agency sponsorship to simulate hydrologic and water quality processes in natural and manmade water systems.

HSPF is an analytical tool that has applications in planning, designing, and operating water-resources systems. Urban stormwater is a new class of environmental flow problem: one that requires reduction of a large excess volume of water to maintain riverine ecological integrity. It is the best type of problem, because solving it provides an opportunity to solve other problems such as the provision of water for human use.

Acknowledgements. Stormwater Design Manual Authors. Shawn Alire Kitsap County Department of Community Development (DCD) Jonathan Brown HDR Scott Diener Kitsap County DCD.Urban Soil Erosion and Sediment Control requiring permit applications for storm water discharges for industrial sources and municipal separate storm sewer systems (MS4’s).

on and off-site hydrology, flooding potential, and other pertinent data help identify both beneficial features and potential problems of a site and adjacent areas.The Urban Stormwater Workgroup’s GIT-funded project, “Piloting the development of probabilistic intensity duration frequency curves for the Chesapeake Bay Watershed.” The Chesapeake Stormwater Network’s vulnerability analysis of urban stormwater BMPs and restoration practices to changing climate conditions.