Discharge Assessment by Using Integrated Hydrologic Model for Environmental Technology Development

Ali, Megat Syahirul Amin Megat; Rahman, Nor Faiza Abd; Khalid, Khairi

doi:10.4028/www.scientific.net/amr.911.378

Cited by 8 publications

(3 citation statements)

References 5 publications

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“…The model has been effectively utilized in Malaysia and from around the world (Devi et al 2015). Some of the researches conducted in Malaysia using SWAT model include; Dlamini et al 2017, Khalid et al (2016a), Khalid et al (2016b), Mohd et al (2015), Ali et al (2014), Tan et al (2014), Alansi et al (2009). Most of these studies were conducted with their attention focusing on basin hydrological response, that include river discharge, sediment and nutrient flux as well as effect of LULC change on river discharge on surface runoff and the impact of climate change on sediment.…”

Section: Swatmentioning

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: Swatmentioning

confidence: 99%

Review of studies on hydrological modelling in Malaysia

Abdulkareem

Pradhan

Sulaiman

et al. 2018

Model. Earth Syst. Environ.

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“…However, many more hydrological models that were found in the literature have been utilized for the watershed modeling study in the country. These included a Hydrologic Engineering Centre-The Hydrologic Modeling System (HEC-HMS) software [2][3][4]; followed was the MIKE SHE models [5], and finally the most current model is the Soil Water Assessment Tools (SWAT) software [6,7]. Among these models, the physically based distributed model SWAT is well established for analyzing the impacts of land management practices on water in large complex watersheds [8].…”

Section: Introductionmentioning

confidence: 99%

The Development and Application of Malaysian Soil Taxonomy in SWAT Watershed Model

2015

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The concept of watershed modeling is embedded in the interrelationships of geo-spatial data and hydro-meteorological data and represented through mathematical abstractions. The behavior of each process is controlled by its own characteristics as well as by its interaction with other processes active in the catchment. The hydrological models vary from empirical models to stochastic models of various kinds and finally to the more recent distributed models. In recent years, distributed watershed models have been increasingly used to implement alternative management strategies in the areas of water resource allocation, flood control, impact assessments for land use and climate change, and pollution control. Many of these models share a common base in their endeavor to incorporate the heterogeneity of the watershed and the spatial distribution of topography, vegetation, land use, soil characteristics, and rainfall. This study attempts to provide a framework of hydrological assessment using a Malaysian soil data as a soil characteristics input in Soil Water Assessment Tool (SWAT) model in its place of using the USDA Soil Taxonomy database. This chapter reports a SWAT simulation output using a Malaysian soil data from the SWAT input file. It was found that the SWAT model can be successfully applied for hydrological evaluation of the Langat River basin, Malaysia. To the Langat River basin, SCS runoff curve number (CN), base flow alpha factor (ALPHA_BF), and groundwater delay (GW_Delay) were found to be the most sensitive input parameters. The works attempting a hydrological simulation using a local soil data directly from Malaysian soil database are still in the programming stages. A same methodology is suggested to be practiced in other open source hydrological models.

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“…The basin became a first watershed in the country is initiated towards implementing of Integrated River Basin Management (IRBM) [19]. Many researchers were studied on the hydrological processes of the basin include a historical water discharges study [20]; the impact of land used change on discharge and direct runoff [21]- [24]; sustainable groundwater resources and environmental management [25]; the flood hazard mapping [26], [27]; the water supply [28], [29]; water quality [30] and a river bed properties study of the river basin [31], [32]. The most current in early 2014, the upper part of the basin was experienced the ammonia pollution due to the effluent Fig.…”

Section: Introductionmentioning

confidence: 99%

Application on One-at-a-Time Sensitivity Analysis of Semi-Distributed Hydrological Model in Tropical Watershed

Khalid¹,

Ali²,

Rahman³

et al. 2016

IJET

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Abstract-A soil and water assessment tool (SWAT) model has been employed for the Langat River basin, Malaysia to predict stream flows. The basin was divided into 27 sub basins comprising 193 hydrological response units. Monthly calibration and validation were performed using the measured discharge data of the Kajang station. One-at-a-time sensitivity analysis using Sequential Uncertainty Fitting (SUFI-2) algorithms was performed to examine the critical input variables of the study area. It was found that the SWAT model can be successfully applied for hydrological evaluation of the basin and the SCS runoff curve number, base flow alpha factor and groundwater delay were found to be the most sensitive parameters. The next step should be conducting a 30 years continuous hydrological modeling. It is needed to analyze the water balance and the hydrological trends of the basin due to the basin experienced major land used changes since 1980 for urbanization activities. IndexTerms-One-at-a-time sensitivity analysis, hydrological modeling, langat river basin, SUFI-2 algorithms.

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Discharge Assessment by Using Integrated Hydrologic Model for Environmental Technology Development

Cited by 8 publications

References 5 publications

Review of studies on hydrological modelling in Malaysia

Review of studies on hydrological modelling in Malaysia

The Development and Application of Malaysian Soil Taxonomy in SWAT Watershed Model

Application on One-at-a-Time Sensitivity Analysis of Semi-Distributed Hydrological Model in Tropical Watershed

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