Storage under the 2011 Chao Phraya River flood: An interpretation of watershed-scale storage changes at two neighboring mountainous watersheds in northern Thailand

Yokoo, Yoshiyuki; Wattanakarn, Chaiwut; Wattanakarn, Supinda; Semcharoen, Vorapod; Sakolnakhon, Kamol Promasakha na; Soralump, Suttisak

doi:10.3178/hrl.8.1

Cited by 9 publications

(5 citation statements)

References 23 publications

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“…These results show lower storage capacities in faster components and higher capacities in slower components, which is often found in bucket-type models such as the Tank model by Sugawara (1995) and is similar to the previous researches (e.g. Kobayashi and Yokoo, 2013;Yokoo et al, 2014;Chiba and Yokoo, 2015). Figure S2 shows the relationships between infiltration p i n and storage (s i n -s 0,i ) for each tank that were illustrated for estimating the magnitudes of infiltration coefficients b i .…”

Section: Identifying and Modeling Runoff Mechanismssupporting

confidence: 62%

“…Recently, Kobayashi and Yokoo (2013) suggested a methodology to identify dominant runoff processes and their corresponding watershed-scale storage by integrating the filter separation method by Hino and Hasebe (1984) and the data-based watershed-scale storage estimation method by Kirchner (2009). Later, Yokoo et al (2014) applied the methodology for interpreting the relationship between slope failure and watershed-scale storage in Thailand. Chiba and Yokoo (2015) then improved the methodology by linearizing the relationship between runoff and storage for theoretical consistency in integrating the method by Kirchner (2009) with the filter separation method by Hino and Hasebe (1984).…”

Section: Introductionmentioning

confidence: 99%

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Identifying dominant runoff mechanisms and their lumped modeling: a data-based modeling approach

Yokoo

Chiba

Shikano

et al. 2017

Hydrological Research Letters

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Abstract:The authors developed a methodology for identifying dominant runoff mechanisms of a watershed and their lumped modeling as a data-based modeling approach with precipitation and runoff data which would contribute to the reduction of uncertainties in both the model structure and the model parameter. We firstly separated a hydrograph into several runoff components by a recession analysis of runoff data and a filter separation method. Secondly, we estimated storage as a function of runoff for each component. Finally, we constructed a single Tank model for each component, where both the runoff component and the estimated storage were used as constraint conditions in identifying coefficients of runoff and infiltration. By applying this approach, we found that (1) the constructed Tank model perfectly traced the runoff components separated by the filter separation method, (2) there are almost no uncertainties in the model structure and the parameter if the result of filter separation can be assumed to be reliable, and (3) we can even estimate effective rainfall with our approach. These results imply our methodology allows identifying and modeling dominant rainfall-storage-runoff mechanisms with minimal uncertainties in model structure and parameter, using hourly precipitation and runoff data alone.

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Section: Identifying and Modeling Runoff Mechanismssupporting

confidence: 62%

Section: Introductionmentioning

confidence: 99%

Identifying dominant runoff mechanisms and their lumped modeling: a data-based modeling approach

Yokoo

Chiba

Shikano

et al. 2017

Hydrological Research Letters

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“…The next step we need to tackle is verifying the adequacy of watershedscale storage estimated by our methodology. Applying this methodology to heavy rainfall events that generated flood inundations or sediment disasters would be helpful for evaluating the maximum storage amount as mentioned above, which is demonstrated in Yokoo et al (2013). Another possible application would be of drought situations.…”

Section: Possible Future Directionsmentioning

confidence: 99%

Estimating watershed-scale storage changes from hourly discharge data in mountainous humid watersheds: toward a new way of dominant process modeling

Kobayashi

Yokoo

2013

Hydrological Research Letters

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Abstract:The present study demonstrates and suggests a methodology for estimating watershed-scale storage changes from hourly discharge data in mountainous watersheds under a humid climate in Japan as the basis for watershed characterizations by combining a hydrograph separation and a storage-discharge formulizing method. Firstly, we separated hydrographs into different sub-components with respect to the time constants of the flow recession periods of the hydrograph by the filter-separation autoregressive method. Then we applied a storage-discharge formulizing method to the relationship between watershed-scale storage and discharge sub-components independently. As the result, we obtained a realistic estimate of annual watershed-scale storage change in the upper Abukuma River watershed. In addition, we compared our methodology with the non-linear reservoir modeling approach to explore the potential for extensive applications such as dominant process modeling, watershed classifications, and practical watershed management.

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“…The global extent of the damages have instigated several studies which aim to understand the nature of the 2011 Thai floods, particularly in the Chao Phraya River Basin [e.g., Kotsuki and Tanaka , ; Yokoo et al ., ]. Rakwatin et al .…”

Section: Introductionmentioning

confidence: 99%

Assessing the impacts of reservoir operation to floodplain inundation by combining hydrological, reservoir management, and hydrodynamic models

Mateo

Hanasaki

Komori

et al. 2014

Water Resources Research

120

105

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A catastrophic flood event which caused massive economic losses occurred in Thailand, in 2011.Several studies have already been conducted to analyze the Thai floods, but none of them have assessed the impacts of reservoir operation on flood inundation. This study addresses this gap by combining physically based hydrological models to explicitly simulate the impacts of reservoir operation on flooding in the Chao Phraya River Basin, Thailand. H08, an integrated water resources model with a reservoir operation module, was combined with CaMa-Flood, a river routing model with representation of flood dynamics. The combined H08-CaMa model was applied to simulate and assess the historical and alternative reservoir operation rules in the two largest reservoirs in the basin. The combined H08-CaMa model effectively simulated the 2011 flood: regulated flows at a major gauging station have high daily NSE-coefficient of 92% as compared with observed discharge; spatiotemporal extent of simulated flood inundation match well with those of satellite observations. Simulation results show that through the operation of reservoirs in 2011, flood volume was reduced by 8.6 billion m 3 and both depth and area of flooding were reduced by 40% on the average. Nonetheless, simple modifications in reservoir operation proved to further reduce the flood volume by 2.4 million m 3 and the depth and area of flooding by 20% on the average. By modeling reservoir operation with a hydrodynamic model, a more realistic simulation of the 2011 Thai flood was made possible, and the potential of reducing flood inundation through improved reservoir management was quantified.

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Storage under the 2011 Chao Phraya River flood: An interpretation of watershed-scale storage changes at two neighboring mountainous watersheds in northern Thailand

Cited by 9 publications

References 23 publications

Identifying dominant runoff mechanisms and their lumped modeling: a data-based modeling approach

Identifying dominant runoff mechanisms and their lumped modeling: a data-based modeling approach

Estimating watershed-scale storage changes from hourly discharge data in mountainous humid watersheds: toward a new way of dominant process modeling

Assessing the impacts of reservoir operation to floodplain inundation by combining hydrological, reservoir management, and hydrodynamic models

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