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Last modified
12/16/2009 7:50:08 AM
Creation date
12/15/2009 4:07:14 PM
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Water Conservation
Project Type
General OWC
Title
Stormwater Runoff Quality and Quantity from Traditional & Low Impact Development Watersheds
Date
12/15/2009
Water Conservation - Doc Type
Reports
Supplemental fields
Drought Mitigation - Doc Type
News Article
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SEDAN AND CLAUSEN <br />16 times (p < 0.001) based on values predicted by the <br />calibration equation (Table 3). Increased runoff dur- <br />ing the postconstruction period was likely due to the <br />stormwater drainage system and the impervious <br />asphalt road. These systems are designed to provide <br />quick, safe, and efficient transport of stormwater in <br />urban areas (Tourbier, 1994; Wagner and Geiger, <br />1996; Chocat et al., 2001). Urbanization generally <br />results in increased impervious surfaces and storm - <br />water drainage systems that will increase the total <br />flow of discharges (Leopold, 1968; Laenen, 1980; <br />Schueler, 1994). <br />Low Impact Development Watershed. A signif- <br />icant (p < 0.001) decrease of 42% in the weekly storm <br />flow depth from the LID watershed was observed <br />during the postconstruction period (Table 4). Figure 4 <br />shows that storm flow decreased across the full range <br />of values observed. As indicated by the regression <br />lines, for a given flow from the control watershed, the <br />flow from the treatment watershed declined from cali- <br />bration to treatment periods. The scatter in paired <br />weekly values shown in Figure 4 is expected. Such <br />scatter could be reduced by aggregating data into <br />longer time periods. These results are consistent with <br />studies of individual LID practices that have shown <br />reductions in :storm flow using permeable pavement <br />(USEPA, 1993a; Brattebo and Booth, 2003), <br />decreased imperviousness (Urbonas, 1994), and vege- <br />tated swales (USEPA, 1993a; Rushton, 2001). Grass <br />swales and pervious pavers can provide the control of <br />runoff and peak discharge (USEPA, 1993a). The <br />reduction in storm flow observed in this study was <br />similar to that observed by Rushton (2001) who found <br />a 50% reduction with permeable pavement and grass <br />swales in a parking lot. Grass swales alone reduced <br />storm flow by 30% when compared with impervious <br />pavement (Rushton, 2001). Brattebo and Booth (2003) <br />reported essentially no runoff from four types of per- <br />meable pavement after 570 mm of total rainfall dur- <br />ing a six -year study in Seattle, Washington. <br />During the postdevelopment period after 19 June <br />2003, mean annual runoff from the traditional <br />watershed was 36.6 cm, while runoff from the LID <br />watershed was only 8.6 cm. Runoff from the control <br />watershed averaged 35.0 cm during the same period. <br />TABLE 3. Mean Predicted and Observed Values and Percent Change From the Traditional and Control <br />Watersheds During the Calibration and Postconstruction Periods for the Jordan Cove Project, Connecticut <br />Characteristic <br />Calibration Period <br />(n = 10) <br />Control Traditional <br />Postconstruction Period <br />(n = 56) <br />Traditional <br />Control Observed Predicted <br />Calibration <br />Equation <br />% Change <br />ANCOVA <br />F p <br />Storm flow (cm/week) <br />0.20 <br />0.02 <br />0.35 <br />0.33 <br />0.02 <br />T = 0.028C <br />+1,550 * ** <br />27.78 <br /><0.001 <br />Peak discharge (m /s /week) <br />0.0525 <br />0.0005 <br />0.0246 <br />0.0152 <br />0.0005 <br />T = 0.018C -0.073 <br />+2,829 * ** <br />63.58 <br /><0.001 <br />NO (mg /1) <br />0.5 <br />0.3 <br />1.1 <br />0.3 <br />0.3 <br />T = 0.3400 <br />0 <br />0.50 <br />0.626 <br />N113 -N (mg /1) <br />0.15 <br />0.08 <br />0.16 <br />0.15 <br />0.13 <br />T = 0.313C0 498 <br />+15 <br />4.00 <br />0.012 <br />TKN (mg /1) <br />1.3 <br />4.0 <br />1.1 <br />1.0 <br />4.1 <br />T = 3.999C <br />-76 * ** <br />20.68 <br /><0.001 <br />TP (mg /1) <br />0.159 <br />1.009 <br />0.156 <br />0.185 <br />0.885 <br />T = 3.494C0 739 <br />-79 * ** <br />10.99 <br /><0.001 <br />TSS (mg /1) <br />31 <br />132 <br />22 <br />24 <br />114 <br />T = 53.239C 247 <br />-79* <br />10.18 <br /><0.001 <br />BOD (mg /1) <br />3.2 <br />15.9 <br />3.2 <br />3.4 <br />11.8 <br />T = 18.00 -0.363 <br />-71 ** <br />10.78 <br />0.008 <br />Fecal coliform (No /100 ml) <br />13 <br />1 <br />234 <br />22 <br /><1 <br />T = 0.654C -0698 <br />undefined <br />1.60 <br />0.300 <br />Cu (µg11) <br />7 <br />8 <br />9 <br />7 <br />10 <br />T = 3.163C0 533 <br />-30 S- <br />2.64 <br />0.074 <br />6 <br />11 <br />1 <br />1 <br />1 <br />T= 0.762C <br />0 <br />11.39 <br /><0.001 <br />Pb (µg /1) <br />Zn (µg 11) <br />46 <br />65 <br />36 <br />42 <br />67 <br />T = 11.414C 492 <br />_37 N.S. <br />1.86 <br />0.164 <br />NO -N (kg /ha/year) <br />0.61 <br />0.01 <br />3.29 <br />0.83 <br />0.04 <br />T = 0.00810 <br />+2,181 * ** <br />38.77 <br /><0.001 <br />NH -N (kg /ha/year) <br />0.17 <br />0.01 <br />0.48 <br />0.35 <br />0.22 <br />T = 0.085C <br />+65 * ** <br />12.91 <br /><0.001 <br />TKN (kg /ha /year) <br />1.42 <br />0.07 <br />3.6 <br />2.4 <br />0.06 <br />T = 0.496C <br />+76,361 * ** <br />20.09 <br /><0.001 <br />TP (kg /ha/year) <br />0.186 <br />0.021 <br />0.462 <br />0.412 <br />0.017 <br />T = 0.068C <br />+46,582 * ** <br />16.87 <br /><0.001 <br />TSS (kg/ha/year) <br />36 <br />2 <br />64 <br />65 <br />2 <br />T = 0.762C <br />+64,323 * ** <br />11.42 <br /><0.001 <br />Cu (g /ha /year) <br />10 <br />0.2 <br />15 <br />18 <br />0.2 <br />T = 30.358C -0078 <br />+8,900 * ** <br />10.65 <br /><0.001 <br />Pb (g /ha/year) <br />9 <br />0.4 <br />1 <br />2 <br />0.6 <br />T = 54.358C -0.064 <br />+163 N.S. <br />1.07 <br />0.389 <br />Zn (g/ha/year) <br />82 <br />0.6 <br />55 <br />17 <br />2 <br />T = 34,215,540C -1.528 <br />+8,650 * ** <br />2.42 <br />0.096 <br />Notes: C = control; N.S. = not significant; T = treatment. <br />In = number of samples; n for FC, and metals were three and seven, respectively <br />2 n for metals were 20. <br />*p < 0.05. <br />* *p < 0.01. <br />* * *p < 0.001. <br />JAWRA 1002 JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION <br />
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