Modelling the performance of rainwater collection systems: towards a generalised approach

Fewkes, A.

doi:10.1016/s1462-0758(00)00026-1

Cited by 156 publications

(118 citation statements)

References 3 publications

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“…Sophisticated modelling would be essential in case the results have to be used for urban planning strategies. In this view, several facets connected with RWHs and irrigation should be addressed, such as runoff water quality [63,69], tank water balance modelling, and performance [70][71][72] to define the suitable tank size by also taking into account other non-potable domestic water supply (e.g., WC flushing) and cost-efficiency analyses [68,73]. Guiding research efforts in this direction is of paramount importance, since water saving performance is highly affected by site-specific conditions such as the local rainfall pattern, the habits of the household dwellers, and the characteristics of the RWH and of the building [74].…”

Section: Resultsmentioning

confidence: 99%

Exploring Rooftop Rainwater Harvesting Potential for Food Production in Urban Areas

et al. 2017

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Homegrown fruits and vegetables are gaining popularity in many metropolitan areas with several facets connected to the wider urban agriculture phenomenon. At the same time, the relationship between urban food production and irrigation water is pivotal in terms of resource management. In this paper, we investigated water savings through the collection and use of harvestable rainwater from buildings' rooftops to irrigate 2631 fruits and vegetables gardens in the urban area of Rome (Italy). The methodology makes use of existing geospatial data and data derived from satellite image classification to estimate food gardens' irrigation requirements and harvestable rainwater from nearby buildings' rooftops. The comparison of the annual harvestable rainwater with irrigation needs allowed for computing the proportion of water self-sufficient gardens as well as the amount of gardens whose water needs might be partially fulfilled with rainwater. Statistics were produced by land use type (horticulture, mixed crops, olive groves, orchards, and vineyards) and under the hypothesis that irrigation systems with low and high field application efficiency might be employed. We found that 19% and 33% of the gardens could be water self-sufficient for the low and high irrigation efficiency scenario, respectively. The remaining gardens, by using the available rainwater, could satisfy 22% (low efficiency) and 44% (high efficiency) of the water needs resulting in a reduction in the use of conventional water sources.

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Section: Resultsmentioning

confidence: 99%

Exploring Rooftop Rainwater Harvesting Potential for Food Production in Urban Areas

et al. 2017

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“…Temporal resolution of rainfall data, demand patterns, and the tank release rule algorithm of behavioural models may affect the performance of RWH systems simulated by CS [23][24][25]. Despite the simplicity of the risk model, it succeeds in enveloping CS results taken from literature.…”

Section: Discussionmentioning

confidence: 99%

Risk Analysis Approach to Rainwater Harvesting Systems

Ursino

2016

Water

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Urban rainwater reuse preserves water resources and promotes sustainable development in rapidly growing urban areas. The efficiency of a large number of urban water reuse systems, operating under different climate and demand conditions, is evaluated here on the base of a new risk analysis approach. Results obtained by probability analysis (PA) indicate that maximum efficiency in low demanding scenarios is above 0.5 and a threshold, distinguishing low from high demanding scenarios, indicates that in low demanding scenarios no significant improvement in performance may be attained by increasing the storage capacity of rainwater harvesting tanks. Threshold behaviour is displayed when tank storage capacity is designed to match both the average collected volume and the average reuse volume. The low demand limit cannot be achieved under climate and operating conditions characterized by a disproportion between harvesting and demand volume.

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“…The mass balance equation has generally been adopted to design storage volume, and to predict the hydraulic performance (Chisi et al, 2007;Liaw et al, 2004;Fewekes, 1999). However, most studies have only focused on single-site systems, contributing little to large scale applications, such as the case of SCP.…”

Section: Introductionmentioning

confidence: 99%

Simulation-based Spatial System for Rainwater Harvesting Systems In the Sustainable Campus Project

Chiu

2012

Journal of Asian Architecture and Building Engineering

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Rainwater harvesting systems (RWHSs) are promoted by many governments to ease urban water shortages. Such systems have also been adopted by the Sustainable Campus Project in Taiwan. However, spatial-temporal variances in precipitation significantly influence the hydraulic and economic performance of RWHSs, and a decision supporting system is essential for large scale application. This study proposes a simulation-based spatial system (SBSS) incorporating economic analysis to support the decision making of RWHSs. A case study is presented, which adapts the SBSS to the rooftop RWHSs of seven universities in the Taipei Area applied as part of the Sustainable Campus Project. Compared with the traditional generalized method, the SBSS enhances the information value. Also, the results of the case study show that SBSS provides more holistic and comprehensive support for the decision making of both end-users and policy makers. Therefore, the SBSS is a useful tool for promoting RWHSs on a large scale.

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Modelling the performance of rainwater collection systems: towards a generalised approach

Cited by 156 publications

References 3 publications

Exploring Rooftop Rainwater Harvesting Potential for Food Production in Urban Areas

Exploring Rooftop Rainwater Harvesting Potential for Food Production in Urban Areas

Risk Analysis Approach to Rainwater Harvesting Systems

Simulation-based Spatial System for Rainwater Harvesting Systems In the Sustainable Campus Project

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