Influence of rainfall time series indicators on the performance of residential rainwater harvesting systems

Istchuk, Rodrigo Novais; Ghisi, Enedir

doi:10.1016/j.jenvman.2022.116163

Cited by 4 publications

(2 citation statements)

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“…Based on the cluster analysis method described in the work by Istchuk and Ghisi [35], the representative cities chosen for this study are Belém, Recife, Campo Grande, Salvador, Brasília, Florianópolis, Belo Horizonte, and São Paulo. Table 4 shows the rainfall indicators obtained for the cities analysed.…”

Section: Resultsmentioning

confidence: 99%

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Influence of Design Variables on the Financial Feasibility of Rainwater Harvesting Systems

Istchuk

Ghisi

2023

Water

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Extensive implementation of rainwater harvesting (RWH) systems can promote substantial improvement in urban water resource management. Therefore, establishing the financial feasibility of RWH systems is imperative for their dissemination. This study evaluated the influence of rainfall time series indicators (average annual rainfall, seasonality index and behaviour of periods without precipitation) and design variables (catchment area, rainwater demand, number of inhabitants, potable water demand and rainwater tank size) on the financial feasibility of RWH systems in eight Brazilian cities. Correlations between rainfall indicators and financial feasibility were introduced, along with sensitivity analysis of design variables. Financial feasibility was obtained in 30% to 70% of the simulated scenarios. Initial investment and operating costs varied significantly among the eight cities according to local prices. Systems with a catchment area of 200 m2 were capable of supplying, on average, 90.5% of the maximum rainwater consumption observed in this study. Local variation of potable water tariff schemes affected the financial feasibility of RWH systems. The number of inhabitants was the most influential design variable on the financial feasibility of RWH systems, followed by the rainwater tank size. Places with lower rainfall seasonality indexes and lower incidence and duration of dry periods are likely to lead to greater financial feasibility.

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Section: Resultsmentioning

confidence: 99%

“…Eight representative cities were selected among the 27 Brazilian capitals following the cluster analysis method described by Istchuk and Ghisi [35]. The selection sought to contemplate the different rainfall characteristics in Brazil.…”

Section: Rainfall Datamentioning

confidence: 99%