Green roof evapotranspiration rates and stormwater control under subtropical climate: a case study in Brazil

Pub Date : 2021-01-01 DOI:10.1590/2318-0331.262120210089
Nathana Karina Swarowski Arboit, R. Tassi, Tiago Liberalesso, D. E. Ceconi, Daniel Gustavo Allasia Piccili
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引用次数: 4

Abstract

ABSTRACT In this study a long-term field experiment evaluating evapotranspiration rates from irrigated and non-irrigated green roof modules, as well their impacts on stormwater control was accomplished. Six green roof modules (3 irrigated and 3 non-irrigated) vegetated with S. rupestre were monitored throughout 8 months in southern Brazil. Four non-vegetated modules (2 irrigated and 2 non-irrigated) were simultaneously assessed to understand the role of the vegetation in the whole process. The average evapotranspiration under water-stress (ETr) was 2.6 mm.day-1, while mean evapotranspiration under water-abundance (ETp) was 2.8 mm.day-1. Higher evapotranspiration rates were observed during summer, increasing the substrate storage capacity, although ETr amount along the seasons was very similar, mainly affected by climatic conditions. The long-term analysis showed that 47% of the total rainfall was converted into runoff, 21% was retained in the green roof modules and 32% was released through evapotranspiration, reinforcing the importance of vegetation as a mechanism for improving stormwater control benefits. The results of this research also allowed the establishment of a crop coefficient (Kc) time series, with a monthly average of 0.9 which permits the S. rupestre evapotranspiration to be preliminarily estimated by using equations developed for reference culture without the need of monitoring.
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亚热带气候下绿色屋顶蒸散速率和雨水控制:以巴西为例
摘要本研究通过长期的田间试验,评估了灌溉和非灌溉绿色屋顶模块的蒸散速率,以及它们对雨水控制的影响。在巴西南部的6个绿色屋顶模块(3个灌溉和3个非灌溉)种植了紫穗槐,进行了为期8个月的监测。同时评估4个非植被模块(2个灌溉和2个非灌溉),以了解植被在整个过程中的作用。水分胁迫条件下的平均蒸散量为2.6 mm.day-1,丰水条件下的平均蒸散量为2.8 mm.day-1。夏季蒸散速率较高,增加了基质储存量,但各季节ETr量非常相似,主要受气候条件的影响。长期分析表明,总降雨量的47%转化为径流,21%保留在绿色屋顶模块中,32%通过蒸散发释放,这加强了植被作为提高雨水控制效益的机制的重要性。本研究结果还建立了月平均值为0.9的作物系数(Kc)时间序列,可以在不需要监测的情况下,利用为参考培养建立的方程,初步估算出紫荆的蒸散量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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