Application of Hec-Ras and Arc Gis for Floodplain Mapping in Segamat Town, Malaysia

Romali, Noor Suraya

doi:10.21660/2018.43.3656

Cited by 28 publications

(23 citation statements)

References 13 publications

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“…e.g. Romaly et al (2018) used NSE on HEC-HMS (physicallybased model) to evaluate a study conducted with the aim of simulating 2011 flood peak that will be used to generate flood maps of Segamat 2011 flood. Beheshti et al (2016) used NSE on ANN (an empirical model) to predict rainfall in Johor river basin for the next decade.…”

Section: Nash-sutcliffe Efficiency (Nse)mentioning

confidence: 99%

Review of studies on hydrological modelling in Malaysia

Abdulkareem

Pradhan

Sulaiman

et al. 2018

Model. Earth Syst. Environ.

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Hydrological models are vital component and essential tools for water resources and environmental planning and management. In recent times, several studies have been conducted with a view of examining the compatibility of model results with streamflow measurements. Some modelers are of the view that even the use of complex modeling techniques does not give better assessment due to soil heterogeneity and climatic changes that plays vital roles in the behavior of streamflow. In Malaysia, several public domain hydrologic models that range from physically-based models, empirical models and conceptual models are in use. These include hydrologic modeling system (HEC-HMS), soil water assessment tool (SWAT), MIKE-SHE, artificial neural network (ANN). In view of this, a study was conducted to evaluate the hydrological models used in Malaysia, determine the coverage of the hydrological models in major river basins and to identify the methodologies used (specifically model performance and evaluation). The results of the review showed that 65% of the studies conducted used physical-based models, 37% used empirical models while 6% used conceptual models. Of the 65% of physical-based modelling studies, 60% utilized HEC-HMS an open source models, 20% used SWAT (public domain model), 9% used MIKE-SHE, MIKE 11 and MIKE 22, Infoworks RS occupied 7% while TREX and IFAS occupy 2% each. Thus, indicating preference for open access models in Malaysia. In the case of empirical models, 46% from the total of empirical researches in Malaysia used ANN, 13% used Logistic Regression (LR), while Fuzzy logic, Unit Hydrograph, Auto-regressive integrated moving average (ARIMA) model and support vector machine (SVM) contributed 8% each. Whereas the remaining proportion is occupied by Numerical weather prediction (NWP), land surface model (LSM), frequency ratio (FR), decision tree (DT) and weight of evidence (WoE). Majority of the hydrological modelling studies utilized one or more statistical measure of evaluating hydrological model performance (R, R 2 , NSE, RMSE, MAE, etc.) except in some few cases where no specific method was stated. Of the 70 papers reviewed in this study, 16 did not specify the type of model evaluation criteria they used in evaluating their studies, 17 utilized only one method while 37 used two or more methods. NSE with 27% was found to be the most widely used method of evaluating model performance; R and RMSE came second with a percentage use 24% each. R 2 (20%) was recorded as the third most widely used model evaluation criteria in Malaysia, MAE came fourth with 16% while PBIAS is the least with 11%.The findings of this work will serve as a guide to modelers in identifying the type of hydrological model they need to apply to a particular catchment for a particular problem. It will equally help water resources managers and policy makers in providing them with executive summary of hydrological studies and where more input is needed to achieve sustainable development.

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Section: Nash-sutcliffe Efficiency (Nse)mentioning

confidence: 99%

Review of studies on hydrological modelling in Malaysia

Abdulkareem

Pradhan

Sulaiman

et al. 2018

Model. Earth Syst. Environ.

View full text Add to dashboard Cite

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“…Many studies have focused on identifying floodplains and flood hazards since 1990 in different parts of the world [21][22][23][24][25]. The Hydrologic Engineering Center's River Analysis System (HEC-RAS) model [26] developed by the U.S. Army Corps of Engineers (USACE) is generally used for investigating flooding and flood-related hazards, and for identifying floodplains globally [21,23,[27][28][29][30]. For instance, reference [31] integrated this model into ArcGIS, in 2D and 3D, in the South Nation River system of Ottawa, Canada.…”

Section: Introductionmentioning

confidence: 99%

A Model-Based Flood Hazard Mapping on the Southern Slope of Himalaya

Aryal

Adhikari

Zhou

et al. 2020

Water

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Originating from the southern slope of Himalaya, the Karnali River poses a high flood risk at downstream regions during the monsoon season (June to September). This paper presents comprehensive hazard mapping and risk assessments in the downstream region of the Karnali River basin for different return-period floods, with the aid of the HEC-RAS (Hydrologic Engineering Center’s River Analysis System). The assessment was conducted on a ~38 km segment of the Karnali River from Chisapani to the Nepal–India border. To perform hydrodynamic simulations, a long-term time series of instantaneous peak discharge records from the Chisapani gauging station was collected. Flooding conditions representing 2-, 5-, 10-, 50-, 100-, 200-, and 1000-year return periods (YRPs) were determined using Gumbel’s distribution. With an estimated peak discharge of up to 29,910 m3/s and the flood depths up to 23 m in the 1000-YRP, the area vulnerable to flooding in the study domain extends into regions on both the east and west banks of the Karnali River. Such flooding in agricultural land poses a high risk to food security, which directly impacts on residents’ livelihoods. Furthermore, the simulated flood in 2014 (equivalent to a 100-YRP) showed a high level of impact on physical infrastructure, affecting 51 schools, 14 health facilities, 2 bus-stops, and an airport. A total of 132 km of rural–urban roads and 22 km of highways were inundated during the flood. In summary, this study can support in future planning and decision-making for improved water resources management and development of flood control plans on the southern slope of Himalaya.

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“…Traditionally, the scientific community had focused its efforts on risk occurrence probability. However, recently, the focus is shifting to risk consequences [2], its mitigation [28], and damage reductions [24], which is also as a consequence to the growing variability of the hydrological variables [12,13].…”

Section: Introductionmentioning

confidence: 99%

Flood Hazard Assessment Supported by Reduced Cost Aerial Precision Photogrammetry

et al. 2018

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Increasing flood hazards worldwide due to the intensification of hydrological events and the development of adaptation-mitigation strategies are key challenges that society must address. To minimize flood damages, one of the crucial factors is the identification of flood prone areas through fluvial hydraulic modelling in which a detailed knowledge of the terrain plays an important role for reliable results. Recent studies have demonstrated the suitability of the Reduced Cost Aerial Precision Photogrammetry (RC-APP) technique for fluvial applications by accurate-detailed-reliable Digital Terrain Models (DTMs, up to: ≈100 point/m2; vertical-uncertainty: ±0.06 m). This work aims to provide an optimal relationship between point densities and vertical-uncertainties to generate more reliable fluvial hazard maps by fluvial-DTMs. This is performed through hydraulic models supported by geometric models that are obtained from a joint strategy based on Structure from Motion and Cloth Simulation Filtering algorithms. Furthermore, to evaluate vertical-DTM, uncertainty is proposed as an alternative approach based on the method of robust estimators. This offers an error dispersion value analogous to the concept of standard deviation of a Gaussian distribution without requiring normality tests. This paper reinforces the suitability of new geomatic solutions as a reliable-competitive source of accurate DTMs at the service of a flood hazard assessment.

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Application of Hec-Ras and Arc Gis for Floodplain Mapping in Segamat Town, Malaysia

Cited by 28 publications

References 13 publications

Review of studies on hydrological modelling in Malaysia

Review of studies on hydrological modelling in Malaysia

A Model-Based Flood Hazard Mapping on the Southern Slope of Himalaya

Flood Hazard Assessment Supported by Reduced Cost Aerial Precision Photogrammetry

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