Article
Version 2
Preserved in Portico This version is not peer-reviewed
Vegetation Survival in Green Roofs without Irrigation
Version 1
: Received: 5 August 2020 / Approved: 7 August 2020 / Online: 7 August 2020 (05:39:06 CEST)
Version 2 : Received: 4 December 2020 / Approved: 7 December 2020 / Online: 7 December 2020 (08:07:00 CET)
Version 2 : Received: 4 December 2020 / Approved: 7 December 2020 / Online: 7 December 2020 (08:07:00 CET)
A peer-reviewed article of this Preprint also exists.
Raimondi, A.; Marchioni, M.; Sanfilippo, U.; Becciu, G. Vegetation Survival in Green Roofs without Irrigation. Water 2021, 13, 136. Raimondi, A.; Marchioni, M.; Sanfilippo, U.; Becciu, G. Vegetation Survival in Green Roofs without Irrigation. Water 2021, 13, 136.
Abstract
The implementation of green roofs as sustainable urban drainage systems provides benefits for stormwater control and the environment and is always more encouraged. In this paper, the estimation of the probability of vegetation survival without irrigation has been proposed as a guide to choose the proper values for the design parameters; in particular the growing medium thickness has been related to the average return interval of the water content at the end of the dry period. Moreover the study represents an improvement of the analytical probabilistic approach since a chain of consecutive rainfall events has been considered, in order to take into account the possibility that the storage capacity is not completely available at the beginning of each event because of the pre-filling from more than one previous rainfall as typically happens for green roofs. Finally, developed equations have been validated by means of their application to two case studies, respectively in northern and southern Italy.
Keywords
Sustainable Urban Drainage Systems; green roofs; analytical probabilistic approach; pre-filling volume; vegetation survival
Subject
Engineering, Automotive Engineering
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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