242 research outputs found

    Martin Wanielista - BMP Trains Intro & Navigation - January 31, 2020

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    Dr. Martin Wanielista\u27s slides from his PowerPoint presentation during the BMPTRAINS workshop on January 30-31, 2020

    Martin Wanielista - BMP Trains Model Features - January 31, 2020

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    Dr. Martin Wanielista\u27s slides from his PowerPoint presentation during the BMPTRAINS workshop on January 30-31, 2020

    Project SMART: A Restoration/Demonstration

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    Stormwater Intelligent Control System (2005)

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    Water restrictions, pollution control, volume balances, and the emergence of stormwater utilities have lead to the development of an automated intelligent system (“I-Water”) for water use and control. With the use of this system, water stored in stormwater ponds or in the surficial aquifer is not discharged to surface waters because it is used to meet water demands, such as, lawn irrigation, environmental protection, agriculture, drinking and industrial uses. The drop in groundwater levels and the increasing use of reclaimed water illustrates a need for alternative water supplies. Ground water depletion is occurring which is adding to the destruction of wetland areas and reduced spring flows. The supply of available reclaimed water continues to rise but so does the demand for irrigation water. The automation, water quality monitoring, and database that an Intelligent Water (“I-Water”) controller provides can make stormwater reuse systems more feasible thus helping to reduce stormwater pollutant loadings, maintain watershed volume balances, and provide an alternative irrigation water supply. Using advanced technology is an efficient and effective way to manage this valuable freshwater resource. Telecommunications has made it possible to monitor water flow, valves, collect data, read instrumentation such as water quality sensors and control things remotely and in \u27real time\u27. Presented in this report is an automated controller integrating multiple sensors, used to collect data that can be monitored daily (if desired) via home or office computers and that can remotely control the flow of water using home or office computers. The automated controller can be operated at the installation site or via telecommunications from a remote site. The “I-Water” will make stormwater volume control using reuse systems more feasible by decreasing O&M costs. Remote on-line monitoring to provide more reliable data at a greater frequency of collection is possible with the “I-Water” or similar systems. The I-Water” will provide access to pollutant monitoring to assure that the stormwater is safe to use for non-potable purposes. The “I-Water” is available for deployment

    Martin Wanielista - BMP Trains Example Application - January 31, 2020

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    Dr. Martin Wanielista\u27s slides from his PowerPoint presentation during the BMPTRAINS workshop on January 30-31, 2020

    Design Curves for the Reuse of Stormwater

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    Removal of Color From Surface Water in Central Florida

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    The USPHS limits color in water to 15 color units. However, it is desirable to remove all the color. Color in surface water is mainly due to humic substances and was found in concentrations varying up to 450 color units. Removal of color by coagulation and flocculation has been practiced over the years. The mechanisms involved have not yet been fully understood. During the course of this investigation, a literature survey, studying the nature of color, mechanisms or color removal, and optimum color removal conditions, has been conducted. Samples have been obtained from surface waters in Central Florida; namely Big Econ River and Lakes Pickett, Irma, Lee, and Florida. These samples have been examined for color intensity, based on tannic acid, alkalinity and pH. The color intensity varied from 3.25 to 35.5. The alkalinity varied from 2 to 26 ppm, whereas the pH\u27s varied from 5.3 to 6.35. Aluminum sulfate and ferric sulfate were used to remove the color from the samples. Optimum conditions for color removal of dosages and ph\u27s were made by jar tests. The optimum dosage of Fe₂(SO₄)3 • nH₂O and Al₂(SO₄)3 • 18H₂O varied from 33 to 55 mg/l, while the optimum pH\u27s were found to vary from 6-10. Aluminum sulfate was found to be the better coagulant for removing color

    Retention/Detention Pond Stormwater Treatment System

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    Materials, compositions, substances, and methods and systems for stormwater treatment in wet ponds, dry ponds and a green roof system. A first embodiment provides in-situ treatment unit within the retention pond by withdrawing the stored stormwater tocirculate the stored stormewater into the in-situ treatment unit to sorb nitrogen from the stored stormwater. A second embodiment provided uses a riprap apron, a preforated riser loacted at the bottom of the riprap apron and a goetextile media encased in a sorption media jacket around the perforated riser. A third embodiment provides a greenroof stormwater treatment system that includes protections for waterproofing and insulating the roof, a pollution control media layer for filtration and sorption of solids and dissolved materials found in stormwater, a growing media for growing vegetation, and a cistern to store the runoff stormwater between irrigation events. The green roof system includes recycling runoff stormwater by irrigating th

    Subsurface Upflow Wetland System for Nutrient and Pathogen Removal in Wastewater Treatment Systems

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    Methods and systems for a subsurface upflow wetland for wastewater treatment that includes a series of parallel treatment cells, each cell including from bottom to top, a layer of gravel, a layer of sand over the gravel to remove pathogens from a septic effluent, a pollution control medium above the sand later to remove nurtients, total suspended solid, and biochemical oxygen demand and a growth media mixture layered on top of the pollution control pmedia to grow plants, and a gravity distrubition system to distribute effluent to the series of parallel treatment cells. The pollution control medium inlcudes at least one recycled material and at least one naturally occuring material. In an embodiment in includes recycled tire crumb, sand, and limestone or recycled tire crumb, compost, sand and limestone
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