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How vertical drainage positions of extensive green roofs affect the runoff control performance

Metadata Updated: October 18, 2024

The capacity of extensive green roofs (EGRs) in runoff reduction and pollutants control significantly decreased with increasing rainfall intensity. This is attributed to most of EGRs are the lower-drainage method and use a thinner substrate layer because of the structural load-bearing limits of buildings. Existing solutions depend on increasing the rainwater storage by thickening the substrate layer of EGRs, or replacing the substrate materials. We propose to enhance the water retention capacity of EGRs by adjusting vertical drainage positions and moving the lower-drainage at the bottom to upper-drainage over the substrate layer. To test the runoff control performance of EGRs with the upper-drainage method, we designed three EGR models with two different (upper- and lower-) drainage methods based on the common EGR’s structure in practice and carried out total 48 experiments under different rainfall intensities with an artificial rainfall simulator. The experimental design also included adjusting structural factors of the EGR to further explore the influences of roof slope, status of vegetation growth (height and canopy cover ratio), and model size. The average runoff retention rate for the upper-drainage EGR was 61.82 %, which was much higher than the 23.94 % for the lower-drainage EGR. The concentrations of TN and TP in runoff with the upper-drainage were 2.83 and 0.18 mg/L, which were much lower than the 8.47 and 2.10 mg/L for the lower-drainage EGR. EGRs with upper-drainage overall performed better in runoff control than EGRs with lower-drainage. Vegetation height and model size did not significantly affect the rainwater control performance for different drainage methods, while the change of slope affected the rainwater interception of the EGRs with upper-drainage method. This dataset is not publicly accessible because: non-EPA generated data. It can be accessed through the following means: Contact Dr. Xin Fu (fuxinuc@outlook.com). Format: non-EPA generated data.

This dataset is associated with the following publication: Cui, E., X. Fu, X. Yang, Q. Zhang, D. Duan, and M. Hopton. How vertical drainage positions of extensive green roofs affect the runoff control performance. JOURNAL OF HYDROLOGY. Elsevier Science Ltd, New York, NY, USA, 642: 131855, (2024).

Access & Use Information

Public: This dataset is intended for public access and use. License: See this page for license information.

Downloads & Resources

No file downloads have been provided. The publisher may provide downloads in the future or they may be available from their other links.

References

https://doi.org/10.1016/j.jhydrol.2024.131855

Dates

Metadata Created Date October 18, 2024
Metadata Updated Date October 18, 2024

Metadata Source

Harvested from EPA ScienceHub

Additional Metadata

Resource Type Dataset
Metadata Created Date October 18, 2024
Metadata Updated Date October 18, 2024
Publisher U.S. EPA Office of Research and Development (ORD)
Maintainer
Identifier https://doi.org/10.23719/1531777
Data Last Modified 2024-08-01
Public Access Level public
Bureau Code 020:00
Schema Version https://project-open-data.cio.gov/v1.1/schema
Harvest Object Id b84812e9-6999-410a-b24d-8732ec3253e7
Harvest Source Id 04b59eaf-ae53-4066-93db-80f2ed0df446
Harvest Source Title EPA ScienceHub
License https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html
Program Code 020:000
Publisher Hierarchy U.S. Government > U.S. Environmental Protection Agency > U.S. EPA Office of Research and Development (ORD)
Related Documents https://doi.org/10.1016/j.jhydrol.2024.131855
Source Datajson Identifier True
Source Hash 3be98526a74c631a897abc90b80dde7885a5123354976ee689d8d9e31a2e0835
Source Schema Version 1.1

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