Short-term versus long-term rainfall time series in the assessment of potable water savings by using rainwater in houses

被引:30
作者
Ghisi, Enedir [1 ]
Cardoso, Karla Albino [1 ]
Rupp, Ricardo Forgiarini [1 ]
机构
[1] Univ Fed Santa Catarina, Dept Civil Engn, Lab Energy Efficiency Bldg, BR-88040900 Florianopolis, SC, Brazil
关键词
Rainfall time series; Potable water savings; Rainwater; SOUTHERN BRAZIL; GREYWATER;
D O I
10.1016/j.jenvman.2011.12.031
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The main objective of this article is to assess the possibility of using short-term instead of long-term rainfall time series to evaluate the potential for potable water savings by using rainwater in houses. The analysis was performed considering rainfall data from 1960 to 1995 for the city of Santa Barbara do Oeste, located in the state of Sao Paulo, southeastern Brazil. The influence of the rainfall time series, roof area, potable water demand and percentage rainwater demand on the potential for potable water savings was evaluated. The potential for potable water savings was estimated using computer simulations considering a set of long-term rainfall time series and different sets of short-term rainfall time series. The ideal rainwater tank capacity was also assessed for some cases. It was observed that the higher the percentage rainwater demand and the shorter the rainfall time series, the larger the difference between the potential for potable water savings and the greater the variation in the ideal rainwater tank size. The sets of short-term rainfall time series considered adequate for different scenarios ranged from 1 to 13 years depending on the roof area, percentage rainwater demand and potable water demand. The main finding of the research is that sets of short-term rainfall time series can be used to assess the potential for potable water savings by using rainwater, as the results obtained are similar to those obtained from the long-term rainfall time series. (C) 2012 Elsevier Ltd. All rights reserved.
引用
收藏
页码:109 / 119
页数:11
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