SPATIAL AND TEMPORAL DISTRIBUTIONS OF MIGRATION IN BIO-RETENTION SYSTEMS

Abstract

Urban bio-retention system is meaningful in reducing rainfall runoff and enhancing infiltration capacity. But the moisture migration in bio-retention systems are not clear under climate change. The spatial and temporal distribution of moisture under different rainfall events in bio-retention systems are studied in this paper based on experimental data in Beijing. Richards model is introduced to simulate the spatial and temporal distribution of moisture including pressure head, hydraulic head and water content under different initial and boundary conditions. As a result, we found that from the depth of the node to the lower boundary, the values of pressure head and hydraulic head increase with depth and decrease with time, while the values of water content represent opposite trends relative to the distribution of pressure head and hydraulic head in bio-retention systems.

Dates

  • Submission Date2013-03-15
  • Revision Date2014-04-09
  • Acceptance Date2014-07-02
  • Online Date2015-01-04

DOI Reference

10.2298/TSCI1405557L

References

  1. Yang, X. H., et al., Comprehensive Assessment for Removing Multiple Pollutants by Plants in Bioretention Systems, Chinese Science Bulletin, 59 (2014), 13, pp. 1446-1453
  2. Mei, Y., et al., A New Assessment Model for Pollutant Removal Using Mulch in Bioretention Processes, Fresenius Environmental Bulletin, 22 (2013), 5a, pp. 1507-1515
  3. Mei, Y., et al., Phosphorus Isothermal Adsorption Characteristics of Mulch of Bioretention, Thermal Science, 16 (2012), 5, pp. 1358-1361
  4. Mei, Y., et al., Thermodynamic and Kinetics Studies of the Adsorption of Phosphorus by Bioretention Media, Thermal Science, 16 (2012), 5, pp. 1506-1509
  5. He, J., et al., The Inversion of Soil Moisture by the Thermal Infrared Data in Liaoning, China, Thermal Science, 17 (2013), 5, pp. 1375-1381
  6. Alejandro, R., Richards Equation Model of a Rain Garden, Journal of Hydrologic Engineering, 9 (2004), 3, pp. 219-225
  7. Skeel, R. D., Berzins, M., A Method for the Spatial Discretization of Parabolic Equations in One Space Variable, SIAM Journal on Scientific and Statistical Computing, 11 (1990), 1, pp. 1-32
  8. Shampine, L. F., Reichelt, M. W., The Matlab Ode Suite, SIAM Journal on Scientific Computing, 18 (1997), 1, pp. 1-22
  9. Celia, M. A., et al., A General Massconservative Numerical Solution for the Unsaturated Flow Equation, Water Resources Research, 27 (1990), 7, pp. 1483-1496
Volume 18, Issue 5, Pages1557 -1562