Geosynthetic Filters for Water Quality Improvement of Urban Storm Water Runoff

2012 ◽  
Vol 138 (10) ◽  
pp. 1018-1028 ◽  
Author(s):  
Carmen A. Franks ◽  
Allen P. Davis ◽  
Ahmet H. Aydilek
Keyword(s):  
Water Quality ◽  
Quality Improvement ◽  
Storm Water ◽  
Water Runoff ◽  
Water Quality Improvement ◽  
Storm Water Runoff ◽  
Urban Storm

Beltway 8 Wetland Water Quality Project: Constructed Wetlands for Storm Water Polishing and Wetland Mitigation Banking

1998 ◽  
Vol 1626 (1) ◽  
pp. 11-20 ◽  
Author(s):  
Robert L. Knight ◽  
Robert Adams ◽  
Colleen O’Brien ◽  
Eduardo R. Davis
Keyword(s):  
Water Quality ◽  
Quality Improvement ◽  
Flood Control ◽  
Wildlife Habitat ◽  
Wetland Mitigation ◽  
Storm Water ◽  
Water Runoff ◽  
Water Quality Improvement ◽  
Pump Station ◽  
Natural Treatment

The Harris County Flood Control District is implementing a wetland mitigation bank project that includes highway runoff as a significant water source. Part of this project is being implemented in cooperation with the Texas Department of Transportation through funding from the Intermodal Surface Transportation Efficiency Act for water quality improvement. This collaborative effort includes treatment and final polishing of storm water runoff from a portion of Beltway 8, northeast of Houston, Texas. The project includes approximately 89 ha (220 acres) of storm water-polishing wetlands and associated wildlife habitat. The overall train of natural treatment processes includes a tie-in to the existing beltway storm sewer, a surge basin for initial collection and storage of storm water, a pump station and force mail allowing flexible water delivery to the rest of the system, a series of polishing ponds and polishing wetland marshes, and an interconnected array of habitat wetlands and swales including ponds, littoral marshes, and transitional wetland forest areas. Design of the polishing and treatment wetlands balances the multiple goals of water quality improvement, flood-flow retention, and creation of valuable wildlife habitat.

scholarly journals Novel advanced porous concrete in constructed wetlands: preparation, characterization and application in urban storm runoff treatment

2018 ◽  
Vol 78 (11) ◽  
pp. 2374-2382 ◽  
Author(s):  
Van Tai Tang ◽  
Kannan Pakshirajan
Keyword(s):  
Constructed Wetland ◽  
Oxygen Demand ◽  
Pollutant Removal ◽  
Storm Runoff ◽  
Storm Water ◽  
Water Runoff ◽  
Porous Concrete ◽  
Storm Water Runoff ◽  
Grass Growth ◽  
Urban Storm

Abstract Common porous concrete templates (CPCT) and advanced porous concrete templates (APCT) were employed in this study to construct wetlands for their applications in pollutant removal from storm runoff. The planting ability of the concrete was investigated by growing Festuca elata plants in them. Strength of the porous concrete (7.21 ± 0.19 Mpa) decreased by 1.8 and 4.9% over a period of six and 12 months, respectively, due to its immersion in lake water. The height and weight of Festuca elata grass growth on the porous concrete were observed to be 12.6–16.9 mm and 63.4–95.4 mg, respectively, after a duration of one month. Advanced porous concrete template based constructed wetland (APCT-CW) showed better removal of chemical oxygen demand (COD) (49.6%), total suspended solids (TSS) (58.9), NH3-N (52.4%), total nitrogen (TN) (47.7%) and total phosphorus (TP) (45.5%) in storm water, when compared with the common porous concrete template based constructed wetland (CPCT-CW) with 20.6, 29.8, 30.1, 35.4 and 26.9%, respectively. The removal of Pb, Ni, Zn by the CPCT-CW unit were 28.9, 33.3 and 42.3%, respectively, whereas these were 51.1, 62.5 and 53.8%, respectively, with the APCT-CW unit. These results demonstrate that the advanced porous concrete template in constructed wetland could be employed successfully for the removal of pollutants from urban storm water runoff.

Storm water pollution modelling: first-order atmospheric dustfall processes that affect runoff quality

1986 ◽  
Vol 13 (1) ◽  
pp. 95-105 ◽  
Author(s):  
Boregowda Shivalingaiah ◽  
William James
Keyword(s):  
Water Quality ◽  
Meteorological Conditions ◽  
Storm Water ◽  
Water Runoff ◽  
Linear Regression Models ◽  
Atmospheric Fallout ◽  
Runoff Water ◽  
Industrial Areas ◽  
Storm Water Management Model ◽  
Storm Water Runoff

The buildup of surface pollutants has been shown to be a controlling factor in the quality of storm water runoff. In industrial areas particularly, atmospheric fallout is an important component of surface pollutant loadings. Storm water runoff models presently in use do not consider the physics of atmospheric dustfall.Industries, vehicle exhausts, and blowing of wind over unprotected surfaces all introduce pollutants to the atmosphere. Redistribution of this material on the ground depends on local topography and prevailing meteorological conditions. The location of the industrial areas; the direction, velocity, and duration of wind; total precipitation; and source concentrations are important parameters in the prediction of atmospheric dustfall. The paper describes the physical processes of atmospheric fallout that are relevant to water quality modelling. A new model, called ATMDST, to predict dustfall on individual subcatchments in a metropolitan area using prevailing meteorological conditions is developed based on statistical methods. Results from average, one-variable and two-variable linear regression models were statistically compared with observed data. Finally, ATMDST is interfaced with the storm water management model version 3 (SWMM3) to compute runoff water quality. The model is applied to Hamilton, Ontario. Key words: atmospheric dustfall, air pollution, urban runoff, water quality, pollutant buildup, environmental modelling.

scholarly journals Short-term forecasting of urban storm water runoff in real-time using extrapolated radar rainfall data

2013 ◽  
Vol 15 (3) ◽  
pp. 897-912 ◽  
Author(s):  
S. Thorndahl ◽  
M. R. Rasmussen
Keyword(s):  
Real Time ◽  
Water Levels ◽  
Rainfall Data ◽  
Storm Water ◽  
Water Runoff ◽  
Short Term ◽  
Radar Rainfall ◽  
Storm Water Runoff ◽  
Short Term Forecasting ◽  
Urban Storm

Model-based short-term forecasting of urban storm water runoff can be applied in real-time control of drainage systems in order to optimize system capacity during rain and minimize combined sewer overflows, improve wastewater treatment or activate alarms if local flooding is impending. A novel online system, which forecasts flows and water levels in real-time with inputs from extrapolated radar rainfall data, has been developed. The fully distributed urban drainage model includes auto-calibration using online in-sewer measurements which is seen to improve forecast skills significantly. The radar rainfall extrapolation (nowcast) limits the lead time of the system to 2 hours. In this paper, the model set-up is tested on a small urban catchment for a period of 1.5 years. The 50 largest events are presented.

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