Modelling of Storm Pav Green Pavement System with Storm Water Management Model and InfoWorks Collection System
Ching Vern LIOW1, Darrien Yau Seng MAH2, Mohd Remy Rozainy bin MOHD ARIF ZAINOL3
1Ching Vern LIOW, Department of Civil Engineering, University Malaysia Sarawak (UNIMAS), Kota Samarahan, 94300 Sarawak, Malaysia.
2Darrien Yau Seng MAH, Department of Civil Engineering, University Malaysia Sarawak (UNIMAS), Kota Samarahan, 94300 Sarawak, Malaysia.
3Mohd Remy Rozainy Din MOHD ARIF ZAINOL, School of Civil Engineering, Universiti Sains Malaysia, Nibong Tebal, 14300 Penang, Malaysia.
Manuscript received on 11 March 2019 | Revised Manuscript received on 17 March 2019 | Manuscript published on 30 July 2019 | PP: 1449-1452 | Volume-8 Issue-2, July 2019 | Retrieval Number: B2158078219/19©BEIESP | DOI: 10.35940/ijrte.B2158.078219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Prior to any construction work related to stormwater, it is preferable to involve a computer-based modelling. This paper outlines two different computer-based modelling tools to model a green technology named Storm Pav Green Pavement. In determining befitting software for use, two key factors are considered: (i) fast model construction (ii) provision of an affordable design model. To meet these key factors, the Storm Water Management Model (SWMM), and InfoWorks Collection System (CS) are deployed in this study. The predictive results of the two models are compared for different design storm durations under 10-year Average Recurrent Interval (ARI). The predictive results suggest that both models are compatible. Yet, SWMM is preferable to model Storm Pav Green Pavement as it could provide reasonably fast model construction and the software tool is an open source software used worldwide.
Index Terms: Computer-Aided Design, Flow Rate, Permeable Road, Urban Drainage, Velocity.
Scope of the Article: Disaster Management