ORCID

https://orcid.org/0000-0002-8822-7167

Abstract

This article aims to analyse the performance of green roof in runoff reduction. A case study has been conducted through a deployed green roof at the custom house quay building in Dublin, Ireland. Modular green roofs have been deployed which have IoT scales associated to it for measuring the effective reduction in runoff. Hydro-meteorological variables such as rainfall, temperature, relative humidity and wind speed values were corresponded to the amount of runoff reduction by means of a regression-based relationship. Comparison of the observed runoff reduction from a modular green roof and that estimated based on the developed regression relationship yielded a R2 value of 0.874. Through this research, a pattern was identified which established that longer records and better weather variables data have the potential to improve the performance of the regression model in predicting the amount of runoff reduction corresponding to different rainfall and weather patterns. In general, performance of green roof was found to be highly positively correlated to the amount of rainfall received; however, low correlation between rainfall and the percentage of runoff reduction indicate that saturated soil in green roofs considerably deteriorates the performance in runoff reduction. Overall, this study can help in identification of locations where installation of green roofs can help mitigate floods at a city scale.

Disciplines

Civil and Environmental Engineering

DOI

10.3390/hydrology9030046

Full Publication Date

9-3-2022

Publication Details

Hydrology

Publisher

MDPI

Funder Name 1

The European Community’s H2020 Programme

Award Number 1

776848

Resource Type

journal article

Resource Version

http://purl.org/coar/version/c_970fb48d4fbd8a85

Access Rights

open access

Open Access Route

Gold Open Access

License Condition

Creative Commons Attribution 4.0 International License
This work is licensed under a Creative Commons Attribution 4.0 International License.

Alternative Identifier

https://www.mdpi.com/2306-5338/9/3/46

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