Accommodating stormwater storage structure in the veranda of shop building
This paper describes the investigation to place water storage structure under the veranda of a shop building. A veranda is a commercial building feature in Southeast Asia with a narrow walkway about 3 m wide. Given the small space’s limited capability to hold rainwater from the building roof, a drai...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | en |
| Published: |
Accent Journals
2021
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| Subjects: | |
| Online Access: | http://ir.unimas.my/id/eprint/36250/1/stormwater1.pdf http://ir.unimas.my/id/eprint/36250/ https://www.accentsjournals.org/currentIssue.php?journalsId=110 http://dx.doi.org/10.19101/IJATEE.2021.874433 |
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| Summary: | This paper describes the investigation to place water storage structure under the veranda of a shop building. A veranda is a commercial building feature in Southeast Asia with a narrow walkway about 3 m wide. Given the small space’s limited capability to hold rainwater from the building roof, a draining tank is, therefore, a more viable choice. Rainwaters flow in and out the tank simultaneously with an outlet control that enables water storage within. A modular-based stormwater storage system that could be assembled under the veranda was selected. Storm Water Management Model version 5.0 was used to model the system. The modular-based system's availability of field test data allowed calibration and verification exercises using the mentioned software and yielded R Square values between 0.97-0.99. As such, the parameters of the system as a storage unit were applied in the modelling of the same system in the veranda. Two cases were presented. The water storage structure was modelled in a single shop lot and a partial commercial area with six units of shop lots and surrounding streets. Modelling the single shop lot with 60% of its roof directing waters to the water storage structure was predicted to reduce 25-30% of its peak values comparing the post-development hydrographs with and without the intervention. The partial commercial area modelling yielded only 0.4-10% prediction in its reduction, suggesting additional intervention was required. |
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