Multi-scenario flood modeling in a mountain watershed using data from a NWP model, rain radar and rain gauges

Taschner, S.; Ludwig, Ralf; Mauser, Wolfram

doi:10.1016/s1464-1909(01)00042-9

Cited by 7 publications

(4 citation statements)

References 12 publications

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“…Yang et al (2004) applied a distributed hydrological model to couple with reservoir operation to simulate the flood hydrographs in the Okutone catchment. In order to improve the simulation of flood hydrographs, several studies have evaluated the performance of distributed hydrological models with spatially distributed precipitation (Cranmer et al , 2001; Taschner et al , 2001; Andersen et al , 2002). In addition to the commonly used rain gauging data, weather radar, and numerical weather‐prediction models offer an opportunity to improve flood forecasting by using distributed hydrological modelling.…”

Section: Introductionmentioning

confidence: 99%

Assessment on the function of reservoirs for flood control during typhoon seasons based on a distributed hydrological model

Wang

2011

Hydrological Processes

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Abstract:A grid-based distributed hydrological model, PDTank model, is used to simulate hydrological processes in the upper Tone River catchment. The Tone River catchment often suffers from heavy rainfall events during the typhoon seasons. The reservoirs located in the catchment play an important role in flood regulation. Through the coupling of the PDTank model and a reservoir module that combines the storage function and operation function, the PDTank model is used for flood forecasting in this study. By comparing the hydrographs simulated using gauging and radar rainfall data, it is found that the spatial variability of rainfall is an important factor for flood simulation and the accuracy of the hydrographs simulated using radar rainfall data is slightly improved. The simulation of the typhoon flood event numbered No. 9 shows that the reservoirs in the catchment attenuate the peak flood discharge by 423Ð3 m 3 /s and validates the potential applicability of the distributed hydrological model on the assessment of function of reservoirs for flood control during typhoon seasons.

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Section: Introductionmentioning

confidence: 99%

Assessment on the function of reservoirs for flood control during typhoon seasons based on a distributed hydrological model

Wang

2011

Hydrological Processes

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“…Moreover, NSE = 0.73 for the 1996 event, NSE = 0.84 for the 1997 event of the TDM model, and NSE = 0.72 for the 1996 event, NSE = 0.94 for the 1997 event of the FEST04 model. Taschner et al [43] used the enhanced TOPMODEL to simulate the "Whitsun flood" (20th May 1999-23rd May 1999) in the Bavarian alpine forelands-the Ammer watershed (area 709 km 2 ). The results showed that the enhanced model delivers a satisfying simulation with NSE = 0.89.…”

Section: Runoff and Flood Simulation And Forecasting Of Svsmrg-sbs Modelmentioning

confidence: 99%

Improving Runoff Simulation and Forecasting with Segmenting Delay of Baseflow from Fast Surface Flow in Montane High-Vegetation-Covered Catchments

Wang

Liu

et al. 2021

Water

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Due to the complicated terrain conditions in montane catchments, runoff formation is fast and complicated, making accurate simulation and forecasting a significant hydrological challenge. In this study, the spatiotemporal variable source mixed runoff generation module (SVSMRG) was integrated with the long short-term memory (LSTM) method, to develop a semi-distributed model (SVSMRG)-based surface flow and baseflow segmentation (SVSMRG-SBS). Herein, the baseflow was treated as a black box and forecasted using LSTM, while the surface flow was simulated using the SVSMRG module based on hydrological response units (HRUs) constructed using eco-geomorphological units. In the case study, four typical montane catchments with different climatic conditions and high vegetation coverage, located in the topographically varying mountains of the eastern Tibetan Plateau, were selected for runoff and flood process simulations using the proposed SVSMRG-SBS model. The results showed that this model had good performance in hourly runoff and flood process simulations for montane catchments. Regarding runoff simulations, the Nash–Sutcliffe efficiency coefficient (NSE) and correlation coefficient (R2) reached 0.8241 and 0.9097, respectively. Meanwhile, for the flood simulations, the NSE ranged from 0.5923 to 0.7467, and R2 ranged from 0.6669 to 0.8092. For the 1-, 3-, and 5-h baseflow forecasting with the LSTM method, it was found that model performances declined when simulating the runoff processes, wherein the NSE and R2 between the measured and modeled runoff decreased from 0.8216 to 0.8087 and from 0.9095 to 0.8871, respectively. Similar results were found in the flood simulations, the NSE and R2 values declined from 0.7414–0.5885 to 0.7429–0.5716 and from 0.8042–0.6547 to 0.7936–0.6067, respectively. This means that this new model achieved perfect performance in montane catchment runoff and flood simulation and forecasting with 1-, 3-, 5-h steps. Therefore, as it considers vegetation regulation, the SVSMRG-SBS model is expected to improve runoff and flood simulation accuracy in montane high-vegetation-covered catchments.

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“…Jasper and Kaufmann (2003) used a coupled atmospheric-hydrologic system as a validation tool for atmospheric forecasts in southern Switzerland. Taschner et al (2001); Ludwig et al (2003) discussed the challenges and limitations of coupled meteohydrologic model approaches in combination with rain gauge measurements and radar data. Meteorological predictions, in particular precipitation and airtemperature, are used to improve runoff forecasts despite their current uncertainties and absence in model calibration (Coulibaly, 2003).…”

Section: Introductionmentioning

confidence: 99%

Verification of a coupled hydrometeorological modelling approach for alpine tributaries in the Rhine basin

Verbunt

Zappa

Gurtz

et al. 2006

Journal of Hydrology

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Multi-scenario flood modeling in a mountain watershed using data from a NWP model, rain radar and rain gauges

Cited by 7 publications

References 12 publications

Assessment on the function of reservoirs for flood control during typhoon seasons based on a distributed hydrological model

Assessment on the function of reservoirs for flood control during typhoon seasons based on a distributed hydrological model

Improving Runoff Simulation and Forecasting with Segmenting Delay of Baseflow from Fast Surface Flow in Montane High-Vegetation-Covered Catchments

Verification of a coupled hydrometeorological modelling approach for alpine tributaries in the Rhine basin

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