Modeling the hydrological benefits of green roof systems: applications and future needs

Zhaokai Dong, Daniel J. Bain, Kimberly A. Gray, Murat Akcakaya, Carla Ng*

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

4 Scopus citations

Abstract

Green roof systems (GRs) provide a promising stormwater management strategy in highly urbanized areas when limited open space is available. Hydrological modeling can predict the ability of GRs to reduce runoff. This paper reviews three popular types of GR models with varying complexities, including water balance models, the U.S. EPA's Stormwater Management Model (SWMM), and Hydrus-1D. Developments and practical applications of these models are discussed, by detailing model parameter estimates, performance evaluations and application scopes. These three models are capable of replicating GR outflow. Water-balance models have the smallest number of parameters (≤7) to estimate. Hydrus-1D requires substantial parameterization effort for soil hydraulic properties but can simulate unsaturated soil water flow processes. Although SWMM has a large number of parameters (>10), it can simulate water transport through the entire GR profile. In addition, SWMM GR models can be easily incorporated into SWMM's stormwater model framework, so it is widely used to simulate the watershed-scale effects of GR implementations. Four research gaps limiting GR model applications are identified and discussed: drainage mat flow simulations, soil characterization, evapotranspiration estimates, and scale effects of GRs. The literature documents promising results in GR simulations for rainfall events, however, a critical need remains for long-term monitoring and modeling of full-scale GR systems to allow interpretation of both internal (substrate) and external (meteorological characteristics) system effects on stormwater management.

Original languageEnglish (US)
Pages (from-to)3120-3135
Number of pages16
JournalEnvironmental Science: Water Research and Technology
Volume9
Issue number12
DOIs
StatePublished - Aug 14 2023

Funding

This work is supported by the National Science Foundation, USA under Grant No. 1854827. The authors would also like to thank the editor and the reviewers for their time, effort, and comments in helping to improve this manuscript.

ASJC Scopus subject areas

  • Environmental Engineering
  • Water Science and Technology

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