2021
DOI: 10.3390/app11199300
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Application of PCSWMM for the 1-D and 1-D–2-D Modeling of Urban Flooding in Damansara Catchment, Malaysia

Abstract: Coupled with climate change, the urbanization-driven increase in the frequency and intensity of floods can be seen in both developing and developed countries, and Malaysia is no exemption. As part of flood hazard mitigation, this study aimed to simulate the urban flood scenarios in Malaysia’s urbanized catchments. The flood simulation was performed using the Personal Computer Storm Water Management Model (PCSWMM) modeling of the Damansara catchment as a case study. An integrated hydrologic-hydraulic model was … Show more

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Cited by 21 publications
(11 citation statements)
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“…In recent years, remote sensing (RS) and geographic information systems (GIS) played an important role in presenting and validating the flood risk and hazard mapping results [13,14]. RS and GIS are considered effective geospatial tools assisting in preparing the flood characteristic maps and their impacts on the environmental, social and economic aspects [15]. These geospatial tools have been extensively used to map the results of simulation models of past flood events such as flood inundation extents, flood levels and to identify the critical facilities at risk [16,17].…”
Section: Introductionmentioning
confidence: 99%
“…In recent years, remote sensing (RS) and geographic information systems (GIS) played an important role in presenting and validating the flood risk and hazard mapping results [13,14]. RS and GIS are considered effective geospatial tools assisting in preparing the flood characteristic maps and their impacts on the environmental, social and economic aspects [15]. These geospatial tools have been extensively used to map the results of simulation models of past flood events such as flood inundation extents, flood levels and to identify the critical facilities at risk [16,17].…”
Section: Introductionmentioning
confidence: 99%
“…According to previous studies Niazi et al [ 55 ] and Neupane et al [ 69 ], PCSWMM achieved acceptance accuracy for flooding simulation in the study area due to NSE > 0.5, PSR ≤ 0.7, and R2 > 0.5 for both calibration and validation. Furthermore, Yim et al [ 58 , 59 ] noted that PCSWMM is a useful tool for evaluating the hydrological and hydraulic performance of the sewer system with different rainfall design storms in Phnom Penh, Cambodia [ 70 ]. In support of this, Takele et al [ 27 ] concluded that the PCSWMM was capable of assessing the impacts of urbanization and climate changes on hydrological responses and stormwater management system performance in Robe town, Ethiopia.…”
Section: Resultsmentioning
confidence: 99%
“…The stormwater management modeling in this study was performed using PCSWMM software (version 7.4.3240) (Hamouz et al, 2020). The model was based on the solution of the 1D Saint‐Venant equations (Mohd Sidek et al, 2021) and incorporated GIS data. To create the input layers, the parameters for the 1D model, including connections, conduits, drains, and subbasins, were exported to PCSWMM from a GIS.…”
Section: Methodsmentioning
confidence: 99%