A project report submitted to the Faculty of Engineering, University of the Witwatersrand, Johannesburg, in partial fulfillment of the requirements for the degree of Master of Science in Engineering. Johannesburg, 1997 / Detention storage IS a well tested, and generally accepted, method of attenuating flood hydrographs, but relatively littlo data is available from the monitoring of full scale instc'lations An onstrearn pond was constructed at Sunninqhill Park and details of 15 inflow and outflow hydro [Abbreviated Abstract. Open document to view full version] / MT2016

nÃo hà / A modelagem ambiental à uma importante ferramenta para projetos e estudos envolvendo a gestÃo ambiental, devido à complexidade dos sistemas ambientais. Com ela à possÃvel integrar um grande nÃmero de variÃveis e processos de forma a obter uma visÃo dinÃmica de tais sistemas e avaliar as suas condiÃÃes presentes e futuras. Neste trabalho sÃo apresentados os resultados de modelagens da qualidade bacteriolÃgica da Ãgua da Ãrea costeira de Fortaleza (Brasil), frente a diversas entradas de cargas contaminantes nas mesmas. Coliformes termotolerantes, usados como indicadores de qualidade de Ãguas de banho pelas normas brasileiras, foram numericamente modelados usando o SisBaHiA (Sistema Base de HidrodinÃmica Ambiental), usando-se cargas contaminantes provenientes de trÃs diferentes tipos de fontes: rios, galerias pluviais e emissÃrio submarino. Os modelos foram implementados de forma a representar as variaÃÃes de decaimento frente à radiaÃÃo solar e outros fatores ambientais. Foram obtidos valores relativamente prÃximos entre os resultados modelados e monitorados em campo em diferentes cenÃrios. Os resultados mostraram que as galerias pluviais sÃo as fontes de contaminaÃÃo mais importantes, respondendo por episÃdios de nÃo cumprimento dos padrÃes de qualidade de Ãgua de banho, especialmente durante os perÃodos chuvosos. AlÃm disto, os resultados mostraram nÃo haver riscos da pluma do emissÃrio submarino de Fortaleza alcanÃar as Ãreas de banho das praias da cidade. / The environmental modeling is an important tool for studies and projects involving environmental management, due to the complexity of environmental systems. With it you can integrate a large number of variables and processes in order to obtain a dynamic view of such systems and assess their present and future conditions. This paper presents the results of modeling the bacteriological quality of the water in the coastal area of ​​Fortaleza (Brazil), and against several entries contaminant loads in them. Fecal coliform, used as indicators of quality of bathing waters by Brazilian standards, were numerically modeled using SisBaHiA (System Base Environmental Hydrodynamics), using contaminant loads from three different sources: rivers, storm sewer and outfall . The models were implemented to represent the changes in decay forward to solar radiation and other environmental factors. Values ​​were relatively close results between modeled and monitored in the field in different scenarios. The results showed that the storm sewers are the most important sources of pollution, accounting for episodes of non-compliance with water quality standards for bathing, especially during rainy periods. Moreover, the results showed no risk of the outfall plume reaching Fortaleza bath areas the city beaches. .

As local authorities are becoming more interested in the assessment of pollutant loads, this study offers a Geographic Information System (GIS) model for assessing nonpoint source of pollution for two scenarios: the current and ultimate stage of urbanization. The Puhinui Catchment, Manukau City, has been used as a case study in developing and testing this model. This catchment has all the attributes of a "typical" urban area and gives a good representation of the effects of land use on the receiving waters of Puhinui Stream and its estuary. Annual mass contaminant loadings were calculated by firstly assessing the physical characteristics of the Puhinui catchment (case study catchment) and secondly describing the nature of storm water quality and calculating the annual mass contaminant loadings.GIS is used to multiply the annual runoff volume by a mean pollutant concentration to acquire an average annual pollutant load. The annual runoff volume is calculated from the drainage area, runoff coefficient and annual rainfall. To calculate the total mean pollutant load, the pollutant loads for all land use types within the catchment are summed and the process is applied for each pollutant. This GIS model determines the connection of typical pollutant concentrations with land uses in the catchment and offers a characterisation of nonpoint source pollution in that catchment. This model can be used for, identifying catchment areas that contribute considerably to the pollution of waterways, determining the appropriate treatment of the storm water runoff for particular sub catchment, storm water quality improvement prioritization and cost-benefit analysis, selecting locations for water-quality monitoring stations, improvement in maintenance practices, assessment of proposed development environmental effects.

A major upgrade to the wastewater treatment plant in Saskatoon, Canada significantly improved the final effluent quality. Consequently, the relative impact of the citys urban runoff on the receiving stream, the South Saskatchewan River, has increased. Moreover, at the inception of the study, pending amendments to provincial legislation governing urban runoff were such that urban runoff would no longer be automatically exempt from regulation. In response to this impending change, which has since been made, Saskatchewan Environment initiated a study to examine the water quality of the urban runoff in Saskatoon, because little had been done to date involving the water quality of urban runoff in Saskatchewan.<p>The field program was conducted in 2001 and 2002 to collect representative urban runoff water quality and flow rate data from four different land uses: newer residential, older residential, commercial, and industrial. Three characterizations of the water quality were developed on the basis of the data collected: Site Mean Concentration (SMC), multiple variable regression models, and the unit load. The SMC results indicate that the average water quality parameter concentrations in Saskatoon are greater than those from NURP, the updated U.S. nationwide urban runoff database, and from Vancouver, Canada, but are similar to those from Wisconsin. The regression analyses indicate that the rainfall depth is the most frequently significant parameter in the prediction of event loads. The unit load analyses indicate that the commercial catchment produces the most pollutant load per unit area. Comparison of the methods indicates that the SMC can be used to estimate longer term urban runoff loads, in lieu of the more complex regression method.<p>Heavy metals, pesticides, and fecal coliforms were detected in the urban runoff at concentrations that exceed guideline values. Further investigation is recommended.<p>In comparison to the loads discharged by local point sources, urban runoff contributes larger total suspended solids (TSS) and total Kjeldahl nitrogen (TKN) loads to the South Saskatchewan River. The load of COD to the river is comparable to that of the Saskatoon Wastewater Treatment Plant (WWTP). The total phosphorus load contributed by urban runoff is slightly smaller than that of the WWTP. Considering the relative load of TSS from urban runoff to the WWTP and the potential for other, more toxic pollutants to adsorb to the TSS, sediment controls should be implemented at all levels of development. Further examination of urban runoff with specific emphasis on spring and winter runoff is recommended.

published_or_final_version / Architecture / Master / Master of Landscape Architecture

All land uses affect storm water runoff However, different uses of the same site generate varying amounts of runoff Many communities have come to rely upon detention and/or retention basins for controlling the additional runoff resulting from land development. It is argued that this incremental approach to storm water management must be replaced with a more proactive long-term view.To achieve this, more user-friendly software capable of modeling the effect long-range land use plans have on the volume and behavior of storm water runoff is needed. This software, called a Spatial Decision Support System (SDSS), must be capable of guiding the user, who may not be an expert at runoff analysis, through the process and also capable of generating output in various formats understandable by lay persons. This study utilizes a systems analysis technique to develop a theoretical framework for the Storm Water SDSS. / Department of Urban Planning

As local authorities are becoming more interested in the assessment of pollutant loads, this study offers a Geographic Information System (GIS) model for assessing nonpoint source of pollution for two scenarios: the current and ultimate stage of urbanization. The Puhinui Catchment, Manukau City, has been used as a case study in developing and testing this model. This catchment has all the attributes of a "typical" urban area and gives a good representation of the effects of land use on the receiving waters of Puhinui Stream and its estuary. Annual mass contaminant loadings were calculated by firstly assessing the physical characteristics of the Puhinui catchment (case study catchment) and secondly describing the nature of storm water quality and calculating the annual mass contaminant loadings.GIS is used to multiply the annual runoff volume by a mean pollutant concentration to acquire an average annual pollutant load. The annual runoff volume is calculated from the drainage area, runoff coefficient and annual rainfall. To calculate the total mean pollutant load, the pollutant loads for all land use types within the catchment are summed and the process is applied for each pollutant. This GIS model determines the connection of typical pollutant concentrations with land uses in the catchment and offers a characterisation of nonpoint source pollution in that catchment. This model can be used for, identifying catchment areas that contribute considerably to the pollution of waterways, determining the appropriate treatment of the storm water runoff for particular sub catchment, storm water quality improvement prioritization and cost-benefit analysis, selecting locations for water-quality monitoring stations, improvement in maintenance practices, assessment of proposed development environmental effects.

Thesis (M.Env.St.)--University of Adelaide, Mawson Graduate Centre for Environmental Studies, 2000. / Bibliography: leaves 84-91.

Thesis (M.S.)--University of Texas at El Paso, 2009. / Title from title screen. Vita. CD-ROM. Includes bibliographical references. Also available online.

Thesis (M.S.)--Rutgers University, 2008. / "Graduate Program in Civil and Environmental Engineering." Includes bibliographical references (p. 79-80).