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Modelling of StormPav Green Pavement System with Storm Water Management Model and InfoWorks Collection System
Author(s) -
Ching Vern LIOW,
Darrien Yau Seng Mah,
Mohd Remy Rozainy bin MOHD ARIF ZAINOL
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.b2158.078219
Subject(s) - stormwater management , stormwater , storm , storm water management model , software , computer science , work (physics) , key (lock) , predictive modelling , civil engineering , hydrological modelling , engineering , meteorology , surface runoff , machine learning , geography , mechanical engineering , ecology , computer security , climatology , geology , biology , programming language
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 StormPav 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 StormPav Green Pavement as it could provide reasonably fast model construction and the software tool is an open source software used worldwide.

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