Identified Model Parameterization, Calibration, and Validation of the Physically Distributed Hydrological Model WASH123D in Taiwan

Shih, Dong Sin; Yeh, Gour Tsyh

doi:10.1061/(asce)he.1943-5584.0000293

Cited by 25 publications

(15 citation statements)

References 16 publications

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“…Zero depth and fixed pressured head depended boundary conditions are assigned in 2-D and 3-D simulations respectively. More details can be obtained in Shih and Yeh (2011). The 1-D river is constructed using cross sections, which are taken from field geometry measured by the Water Resource Agency of Taiwan (Second River Management Office).…”

Section: Modeling Configurationsmentioning

confidence: 99%

Modeling Hydrological Impacts of Groundwater Level in the Context of Climate and Land Cover Change

Shih

2018

Terr. Atmos. Ocean. Sci.

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The study uses weather generation models to generate future daily rainfall and temperature, and incorporates a land coverage model to simulate future land use changes. These future scenarios are then simulated by a rainfall runoff model to study their impacts on basin discharge, river, and groundwater levels. The Fengshan Creek basin in northern Taiwan is selected as test site. The RCP2.6 scenario is adopted to project future climate. The hydrological impacts, in the context of groundwater, for the near future (2020 -2039), future (2050 -2069), and distant future (2080 -2099) are discussed. Simulations indicate that the influence of climate change is more important compared to local land cover changes at our study site. Both river stage and groundwater levels are influenced under future scenarios, but seasonally rather than annually; the dry and wet seasons are amplified. The results indicate that future water resources will be scarce in the dry season and more abundant in the wet season. In addition, changes in groundwater levels for mountainous region are more significant than in the downstream flat areas.

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Section: Modeling Configurationsmentioning

confidence: 99%

Modeling Hydrological Impacts of Groundwater Level in the Context of Climate and Land Cover Change

Shih

2018

Terr. Atmos. Ocean. Sci.

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“…WASH123D provides many robust options for solving overland flow equations, and it can be applied in a wide range of application-dependent circumstances [13]. Additional details can be obtained from Yeh et al [25,26].…”

Section: Validation Of the Model Performancementioning

confidence: 99%

“…These models are based on the digital elevation model (DEM) and use a simple set of rules to simulate the spread of flood water over a given area. As a consequence, the models require less computational resources than complex two-dimensional (2-D) inundation models (e.g., WASH-123D [13,14] and FLO-2D [15]) and may be more practical for real-time warnings. These complex models consider detailed hydraulic processes by solving complicated governing equations (e.g., Saint Venant equations) that are computationally intensive [16].…”

Section: Introductionmentioning

confidence: 99%

Comparison of Different Grid Cell Ordering Approaches in a Simplified Inundation Model

Yang

Chen

Chang

et al. 2015

Water

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This study proposes a simplified model for non-riverine flood routing using a digital elevation model. The model has the advantage of running with only a few types of input, such as topographic data and cumulative rainfall. Given its ease of use, the model is stable and reliable for developing a real-time inundation forecasting system. This model uses two approaches to determine the collection of cells from which flooding is assumed to originate: (1) A traditional "lowest-elevation approach" that assumes flooding originates from the lowest elevations and that is only based on topographic data; and (2) a novel "D-infinity contributing area approach" that assumes flooding originates at the cells toward which the flow moves and that considers in situ topography and upslope information. The flood water is transferred based on the flat-water assumption that the water levels of adjacent cells are equalized.

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“…Because the flood inundation scenarios on a floodplain have a two-dimensional (2D) character, 2D distributed hydraulic models based on the mathematical conservation laws for both mass and momentum have become justifiably popular. Although these models (e.g., Two-dimensional Unsteady FLOW (TUFLOW), Limburg Soil Flood (LISFLOOD), Watershed Systems of One-Dimensional Stream-River Network, Two-Dimensional Overland Regime, and Three-Dimensional Subsurface Media (WASH-123D), and Two-Dimensional Flood (FLO-2D)) have been successfully applied to a number of catchments [3][4][5][6][7], their performance requires significantly higher hardware resource specifications (e.g., high performance computers, large databases with mass storage spaces), and the studies that employ 2D distributed hydraulic models are compromised because of the difficulties of hardware configuration and computational expense, especially for large administrative areas (a town or entire city) [8]. Bates and De Roo [9] sought to reduce the representation of floodplain hydraulics to the minimum necessary, and proposed a simple physically-based flood inundation model (LISFLOOD-FP) which can be integrated with high-resolution raster digital elevation model (DEM) data.…”

Section: Introductionmentioning

confidence: 99%

A New Rapid Simplified Model for Urban Rainstorm Inundation with Low Data Requirements

Shen

Tao

Zhu

et al. 2016

Water

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This paper proposes a new rapid simplified inundation model (NRSIM) for flood inundation caused by rainstorms in an urban setting that can simulate the urban rainstorm inundation extent and depth in a data-scarce area. Drainage basins delineated from a floodplain map according to the distribution of the inundation sources serve as the calculation cells of NRSIM. To reduce data requirements and computational costs of the model, the internal topography of each calculation cell is simplified to a circular cone, and a mass conservation equation based on a volume spreading algorithm is established to simulate the interior water filling process. Moreover, an improved D8 algorithm is outlined for the simulation of water spilling between different cells. The performance of NRSIM is evaluated by comparing the simulated results with those from a traditional rapid flood spreading model (TRFSM) for various resolutions of digital elevation model (DEM) data. The results are as follows: (1) given high-resolution DEM data input, the TRFSM model has better performance in terms of precision than NRSIM; (2) the results from TRFSM are seriously affected by the decrease in DEM data resolution, whereas those from NRSIM are not; and (3) NRSIM always requires less computational time than TRFSM. Apparently, compared with the complex hydrodynamic or traditional rapid flood spreading model, NRSIM has much better applicability and cost-efficiency in real-time urban inundation forecasting for data-sparse areas.

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Identified Model Parameterization, Calibration, and Validation of the Physically Distributed Hydrological Model WASH123D in Taiwan

Cited by 25 publications

References 16 publications

Modeling Hydrological Impacts of Groundwater Level in the Context of Climate and Land Cover Change

Modeling Hydrological Impacts of Groundwater Level in the Context of Climate and Land Cover Change

Comparison of Different Grid Cell Ordering Approaches in a Simplified Inundation Model

A New Rapid Simplified Model for Urban Rainstorm Inundation with Low Data Requirements

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