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Please use this identifier to cite or link to this item: http://hdl.handle.net/11375/23889
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dc.contributor.advisorGuo, Yiping-
dc.contributor.authorHassini, Sonia-
dc.date.accessioned2019-02-07T14:37:51Z-
dc.date.available2019-02-07T14:37:51Z-
dc.date.issued2018-
dc.identifier.urihttp://hdl.handle.net/11375/23889-
dc.descriptionfurther development of the simple and promising analytical probabilistic approachen_US
dc.description.abstractUrban stormwater management aims at mitigating the adverse impacts of urbanization. Hydrological models are used in support of stormwater management planning and design. There are three main approaches that can be applied for this modeling purpose: (1) continuous simulation approach which is accurate but time-consuming; (2) design storm approach, which is widely used and its accuracy highly depends on the selected antecedent moisture conditions and temporal distribution of design storms; and (3) the analytical probabilistic approach which is recently developed and still not used in practice. Although it is time-effective and it can produce results as accurate as the other two approaches; the analytical probabilistic approach requires further developments in order to make it more reliable and accurate. For this purpose, three subtopics are investigated in this thesis. (1) Rainfall data analysis as required by the analytical probabilistic approach with emphasis on testing the exponentiality of rainfall event duration, volume and interevent time (i.e., time separating it from its preceding rainfall event). A goodness-of-fit testing procedure that is suitable for this kind of data analysis was proposed. (2) Derivation of new analytical probabilistic models for peak discharge rate incorporating trapezoidal and triangular hydrograph shapes in order to include all possible catchment’s responses. And (3) the infiltration process is assumed to continue until the end of the rainfall event; however, the soil may get saturated earlier and the excess amount would contribute to the runoff volume which may have adverse impact if not taken into consideration. Thus, in addition to the infiltration process, the saturation excess runoff is also included and new models for flood frequencies are developed. All the models developed in this thesis are tested and compared to methods used in practice, reasonable results were obtained.en_US
dc.language.isoenen_US
dc.subjectrainfall data analysisen_US
dc.subjectflood frequencyen_US
dc.subjectanalytical modelsen_US
dc.subjectprobabilistic modelsen_US
dc.subjectstormwater managementen_US
dc.subjectgoodness of fiten_US
dc.subjectrainfall eventsen_US
dc.subjecthydrograph shapesen_US
dc.subjectPoisson testen_US
dc.subjectsaturation-excess runoffen_US
dc.subjectinfiltration-excess runoffen_US
dc.subjecthydrological modelsen_US
dc.subjectdesign storm approachen_US
dc.subjectevent-based approachen_US
dc.titleData analysis of rainfall event characteristics and derivation of flood frequency distribution equations for urban stormwater management purposesen_US
dc.typeThesisen_US
dc.contributor.departmentCivil Engineeringen_US
dc.description.degreetypeThesisen_US
dc.description.degreeDoctor of Philosophy (PhD)en_US
dc.description.layabstractUrban stormwater management aims at mitigating the adverse impacts of urbanization. Hydrological models are used in support of stormwater management planning and design. The analytical probabilistic stormwater management model (APSWM) is a promising tool for planning and design analysis. The purpose of this thesis is to further develop APSWM in order to make it more reliable and accurate. First, a clear procedure for rainfall data analysis as required by APSWM is provided. Second, a new APSWM is derived incorporating other runoff temporal-distribution patterns. Finally, the possibility of soil layer saturation while it is still raining is added to the model. All the models developed in this thesis are tested and compared to methods used in engineering practice, reasonable results were obtained.en_US
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