RainRoof: Automated Shared Rainwater Harvesting Prediction

Author(s):  
Vipul Gaurav ◽  
Vishal Vinod ◽  
Sanyam Kumar Singh ◽  
Tushar Sharma ◽  
K. R. Pradyumna ◽  
...  
Keyword(s):  
Waterlines ◽  
2006 ◽  
Vol 24 (4) ◽  
pp. 2-3 ◽  
Author(s):  
John Gould
Keyword(s):  

Author(s):  
Arnold Pacey ◽  
Adrian Cullis
Keyword(s):  

2009 ◽  
Vol 4 (1) ◽  
Author(s):  
Jonathan W. Loiacono ◽  
Chu-Fei H. Ho ◽  
Natalie V. Sierra ◽  
Domènec Jolis ◽  
Carolyn Chiu ◽  
...  

The City and County of San Francisco (“City”) embarked upon a 30-year master planning process in part prompted by public concerns related to the neighbourhood impacts of the Southeast Water Pollution Control Plant (SEP). The Sewer System Master Plan, as it is called, developed a long term Integrated Urban Watershed Management Plan for the City's treatment plants and collection system. This paper focuses on the planning framework and public input to the process, particularly as it relates to proposed changes to the SEP. The resulting improvements address issues of replacing aging infrastructure, eliminating odor emissions, and visually screening the treatment plants that are situated within an urban setting. The recommended project addresses the needed repair of the existing infrastructure; and proposes that the City move towards an integrated urban watershed approach, initially through localized rainwater harvesting and opportunistic water reclamation.


Resources ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 21
Author(s):  
Karolina Fitobór ◽  
Bernard Quant

Due to climate change and anthropogenic pressure, freshwater availability is declining in areas where it has not been noticeable so far. As a result, the demands for alternative sources of safe drinking water and effective methods of purification are growing. A solution worth considering is the treatment of rainwater by microfiltration. This study presents the results of selected analyses of rainwater runoff, collected from the roof surface of individual households equipped with the rainwater harvesting system. The method of rainwater management and research location (rural area) influenced the low content of suspended substances (TSS < 0.02 mg/L) and turbidity (<4 NTU). Microfiltration allowed for the further removal of suspension particles with sizes larger than 0.45 μm and with efficiency greater than 60%. Granulometric analysis indicated that physical properties of suspended particles vary with the season and weather. During spring, particles with an average size of 500 μm predominated, while in autumn particles were much smaller (10 μm). However, Silt Density Index measurements confirmed that even a small amount of suspended solids can contribute to the fouling of membranes (SDI > 5). Therefore, rainwater cannot be purified by microfiltration without an appropriate pretreatment.


Water ◽  
2021 ◽  
Vol 13 (14) ◽  
pp. 1902
Author(s):  
Martin Oberascher ◽  
Aun Dastgir ◽  
Jiada Li ◽  
Sina Hesarkazzazi ◽  
Mohsen Hajibabaei ◽  
...  

Smart rainwater harvesting (RWH) systems can automatically release stormwater prior to rainfall events to increase detention capacity on a household level. However, impacts and benefits of a widespread implementation of these systems are often unknown. This works aims to investigate the effect of a large-scale implementation of smart RWH systems on urban resilience by hypothetically retrofitting an Alpine municipality with smart rain barrels. Smart RWH systems represent dynamic systems, and therefore, the interaction between the coupled systems RWH units, an urban drainage network (UDN) and digital infrastructure is critical for evaluating resilience against system failures. In particular, digital parameters (e.g., accuracy of weather forecasts, or reliability of data communication) can differ from an ideal performance. Therefore, different digital parameters are varied to determine the range of uncertainties associated with smart RWH systems. As the results demonstrate, smart RWH systems can further increase integrated system resilience but require a coordinated integration into the overall system. Additionally, sufficient consideration of digital uncertainties is of great importance for smart water systems, as uncertainties can reduce/eliminate gained performance improvements. Moreover, a long-term simulation should be applied to investigate resilience with digital applications to reduce dependence on boundary conditions and rainfall patterns.


2018 ◽  
Vol 62 (3) ◽  
pp. 474-488 ◽  
Author(s):  
Subhajyoti Samaddar ◽  
Norio Okada ◽  
Xinyu Jiang ◽  
Hirokazu Tatano

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