|
|
Hydrologic and water quality performance of a laboratory scale bioretention unit |
Jun Xia1,2, Hongping Wang3(), Richard L. Stanford4, Guoyan Pan1, Shaw L. Yu5 |
1. State Key Laboratory of Water Resources & Hydropower Engineering Sciences, Wuhan University, Wuhan 430072, China 2. Key Laboratory of Water Cycle & Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China 3. Department of Environmental Engineering, School of Resources and Environmental Science, Wuhan University, Wuhan 430079, China 4. ATR Associates, Inc., Strasburg, VA 22657, USA 5. Department of Civil and Environmental Engineering, University of Virginia, Charlottesville, VA 22903, USA |
|
|
Abstract Peak of surface runoff was lagged and clipped by BRU with turf grass and B. Sinica. Lag of peak and extent of clipping was influenced flow regime of inflow and plants grown. TN, TP and COD were removed by filtration of the media and bio-degradation of reservoir layer. Infiltration rate and storage depth could be transferred key parameters for engineering design. A bioretention unit (BRU) or cell is a green infrastructure practice that is widely used as a low impact development (LID) technique for urban stormwater management. Bioretention is considered a good fit for use in China’s sponge city construction projects. However, studies on bioretention design, which incorporates site-specific environmental and social-economic conditions in China are still very much needed. In this study, an experimental BRU, consisted of two cells planted with Turf grass and Buxus sinica,was tested with eighteen synthesized storm events. Three levels (high, median, low) of flows and concentrations of pollutants (TN, TP and COD) were fed to the BRU and the performance of which was examined. The results showed that the BRU not only delayed and lowered the peak flows but also removed TN, TP and COD in various ways and to different extents. Under the high, medium and low inflow rate conditions, the outflow peaks were delayed for at least 13 minutes and lowered at least 52%. The two cells stored a maximum of 231 mm and 265 mm for turf grass and Buxus sinica, respectively. For both cells the total depth available for storage was 1,220 mm, including a maximum 110 mm deep ponding area. The largest infiltrate rate was 206 mm/h for both cells with different plants. For the eighteen events, TP and COD were removed at least 60% and 42% by mean concentration, and 65% and 49% by total load, respectively. In the reservoir layer, the efficiency ratio of removal of TN, TP and COD were 52%, 8% and 38%, respectively, within 5 days after runoff events stopped. Furthermore, the engineering implication of the hydrological and water quality performances in sponge city construction projects is discussed.
|
Keywords
Bioretention unit
Sponge city
Stormwater runoff
Peak reduction
Pollutant removal
|
Corresponding Author(s):
Hongping Wang
|
Issue Date: 05 January 2018
|
|
1 |
Jia H F, Yao H R, Yu S L. Advances in LID BMPs research and practices for urban runoff control in China. Frontiers of Environmental Science & Engineering, 2013, 7(5): 709–720
|
2 |
Liu D S. China’s sponge cities to soak up rainwater. Nature, 2016, 537(7620): 307–307
|
3 |
Liu Y, Zhang Z, Jiang A Q, Wang Z D, Song Y.Approaches and Prospects for the Construction of Green Sponge City. DEStech Transactions on Computer Science and Engineering, 2016: 363–366
|
4 |
Li H. Based on the Technology of Sponge City in Urban Design Study. In: 2016 International Conference on Smart City and Systems Engineering, Zhangjiajie, China. IEEE, 2016: 27–29
|
5 |
Xing M L, Han Y M, Jiang M M, Li H X. The Review of Sponge City. Advances in Engineering Research, 2016, 63: 23–26
|
6 |
Geiger W F. Sponge city and LID Technology-Vision and Tradition. Landscape Architecture Frontiers, 2015, 3(5): 10–20
|
7 |
Wei H Q. The Research on Greenway Helps to Build a Balanced Sponge City. In: Proceeding of the 4th International Conference on Energy and Environmental Protection 2015, Shenzhen, China. Pennsylvania: Destech Publication Inc., 2015: 4652–4656
|
8 |
Jia H F, Wang X W, Ti C P, Zhai Y Y, Field R, Tafuri A N, Cai H H, Yu S L. Field monitoring of an LID-BMP treatment train system in China. Environmental Monitoring and Assessment, 2015, 187(6): 373–390
|
9 |
Li H, Davis A P. Water quality improvement through reductions of pollutant loads using bioretention. Journal of Environmental Engineering, 2009, 135(8): 567–576
|
10 |
Davis A P. Field performance of bioretention: Hydrology impacts. Journal of Environmental Engineering, 2008, 13(2): 90–95
|
11 |
Yang X H, Mei Y, He J, Jiang R, Li Y. Comprehensive assessment for removing multiple pollutants by plants in bioretention systems. Chinese Science Bulletin, 2014, 59(13): 1446–1453
|
12 |
Rycewicz-Borecki M, McLean J E, Dupont R R. Nitrogen and phosphorus mass balance, retention and uptake in six plant species grown in stormwater bioretention microcosms. Ecological Engineering, 2017, 99: 409–416
|
13 |
Turk R P, Kraus H T, Hunt W F, Carmen N B, Bilderback T E. Nutrient sequestration by vegetation in bioretention cells receiving high nutrient loads. Journal of Environmental Engineering, 2017, 143(2): 1–6
|
14 |
Mei Y, Jiang R, Li Y, He J, Jiang R, Li Y Q, Li J Q. A new assessment model for pollutant removal using mulch in bioretention processes. Fresenius Environmental Bulletin, 2013, 22(5a): 1507–1515
|
15 |
Yu S L. Green Infrastructure Research: Bioretention Cell Experiment. Final report to U.S. Environmental Protection Agency. New Jersey: University of Verginia, 2013
|
16 |
Li Y Q, Wang K W, Zhang K L, Zhou Z W, Yang X H. Spatial and temporal distribution of moisture migration in bio-retention systems. Thermal Science, 2014, 18(5): 1557–1562
|
17 |
Burgess S, Adams M A, Turner N C, Ong C K. The redistribution of soil water by tree root systems. Oecologia, 1998, 115(3): 306–311
|
18 |
Ela S D, Gupta S C, Rawls W J. Macropore and surface seal interactions affecting water infiltration into soil. Soil Science Society of America Journal, 1992, 56(3): 714–721
|
19 |
Yu X N, Huang Y M, Li E G, Li X, Guo W. Effects of vegetation types on soil water dynamics during vegetation restoration in the Mu Us Sandy Land, northwestern China. Journal of Arid Land, 2017, 9(2): 188–199
|
20 |
Borja R I, Koliji A. On the effective stress in unsaturated porous continua with double porosity. Journal of the Mechanics and Physics of Solids, 2009, 57(8): 1182–1193
|
21 |
Imhoff P T, Jaffé P R. Effect of liquid distribution on gas-water phase mass transfer in an unsaturated sand during infiltration. Journal of Contaminant Hydrology, 1994, 16(4): 359–380
|
22 |
Hatt B E, Fletcher T D, Deletic A. Hydrologic and pollutant removal performance of stormwater biofiltration systems at the field scale. Journal of Hydrology (Amsterdam), 2009, 365(3): 310–321
|
23 |
Misiti T M, Hajaya M G, Pavlostathis S G. Nitrate reduction in a simulated free-water surface wetland system. Water Research, 2011, 45(17): 5587
|
24 |
Wang X, Li H B, Sun T H, Pan J. Pilot Study on the Performance and Microbial Structure of a Subsurface Wastewater Infiltration System. In: 4th International Conference on Bioinformatics and Biomedical Engineering. Chengdu, China. IEEE, 2010: 1–9
|
25 |
Jenssen P D, Hlum T M, Roseth R, Braskerud B, Syversen N. The potential of natural ecosystem self-purifying measures for controlling nutrient inputs. Marine Pollution Bulletin, 1994, 29(6–12): 420–425
|
26 |
Shao W W, Zhang H X, Liu J H, Yang G Y, Chen X D, Yang Z Y, Huang H. Data integration and its application in the sponge city construction of China. Procedia Engineering, 2016, 154: 779–786
|
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
|
Shared |
|
|
|
|
|
Discussed |
|
|
|
|