An effective storage function model for an urban watershed in terms of hydrograph reproducibility and Akaike information criterion

Gopalan, Saritha Padiyedath; Kawamura, Akira; Takasaki, Tadakatsu; Amaguchi, Hideo; Azhikodan, Gubash

doi:10.1016/j.jhydrol.2018.06.035

Cited by 23 publications

(5 citation statements)

References 36 publications

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“…Model calibration and validation were conducted using the naturalized discharge between 1980 and 2004 (i.e., historical simulation) to evaluate the ability of the model to simulate the natural flow. The fit between the modelled and computed naturalized discharge was evaluated using the Nash‐Sutcliffe Efficiency (NSE; Nash & Sutcliffe, 1970), coefficient of determination ( R 2 ), and other error functions: the percentage error in volume (PEV), percentage error in peak discharge (PEP), and percentage error in time to peak discharge (PETP) (Padiyedath, Kawamura, Takasaki, Amaguchi, & Azhikodan, 2018). In addition, the efficacy of the H08 model in reproducing the regulated discharge was evaluated by incorporating the reservoir operation module.…”

Section: Simulation Scenarios and Data Usedmentioning

confidence: 99%

Impact assessment of reservoir operation in the context of climate change adaptation in the Chao Phraya River basin

Gopalan

Hanasaki

Champathong

et al. 2020

Hydrological Processes

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Climate change adaptation has become the current focus of research due to the remarkable potential of climate change to alter the spatial and temporal distribution of global water availability. Although reservoir operation is a potential adaptation option, earlier studies explicitly demonstrated only its historical quantitative effects. Therefore, this article evaluated the possibility of reservoir operation from an adaptation viewpoint for regulating the future flow using the H08 global hydrological model with the Chao Phraya River basin as a case study. This basin is the largest river system in Thailand and has often been affected by extreme weather challenges in the past. Future climate scenarios were constructed from the bias‐corrected outputs of three general circulation models from 2080 to 2099 under RCP4.5 and RCP8.5. The important conclusions that can be drawn from this study are as follows: (i) the operation of existing and hypothetical (i.e., construction under planning) reservoirs cannot reduce the future high flows below the channel carrying capacity, although it can increase low flows in the basin. This indicates that changes in the magnitude of future high flow due to climate change are likely to be larger than those achieved by reservoir operation and there is a need for other adaptation options. (ii) A combination of reservoir operation and afforestation was considered as an adaptation strategy, but the magnitude of the discharge reduction in the wet season was still smaller than the increase caused by warming. This further signifies the necessity of combining other structural, as well as non‐structural, measures. Overall, this adaptation approach for assessing the effect of reservoir operation in reducing the climate change impacts using H08 model can be applied not only in the study area but also in other places where climate change signals are robust.

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Section: Simulation Scenarios and Data Usedmentioning

confidence: 99%

Impact assessment of reservoir operation in the context of climate change adaptation in the Chao Phraya River basin

Gopalan

Hanasaki

Champathong

et al. 2020

Hydrological Processes

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“…Here, the groundwater-related loss (q l ) was defined by considering the infiltration hole height (z) by multiplying k 3 , which are the new parameters in the continuity equations in Table 1. Furthermore, the q R of the USF is defined by using an additional parameter, α, that expresses the slope of the linear relationship between the total discharge, Q + q R , and the drainage, q R (refer to [23,88] for details).…”

Section: Urban Storage Function (Usf) Modelmentioning

confidence: 99%

“…Padiyedath et al [88] applied the five SF models shown in Table 1 to the upper Kanda River watershed. They also used the SCE-UA method to identify parameters to verify the performance of the SF models.…”

Section: Application Of the Usf Model In An Urban Watershedmentioning

confidence: 99%

Urban Flood Runoff Modeling in Japan: Recent Developments and Future Prospects

Kawamura

Amaguchi

Olsson

et al. 2023

Water

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Since the 20th century, Japan has experienced a period of very rapid urbanization. Cities have experienced substantial densification and expansion, resulting in gradually elevated flood risk. Urban flooding has also occurred in most large cities in Japan, particularly in Tokyo. In response to this growing problem, much effort and resources have been spent on research and development aimed at understanding, simulating, and managing urban flood risk in Japan. The objective of this review is to summarize, discuss, and share key outputs from some of the main research directions in this field, significant parts of which have been uniquely developed in Japan and only published in Japanese. After a general introduction to urban runoff modeling, in the next section, key historical works in Japan are summarized, followed by a description of the situation in Japan with respect to observations of precipitation and water level. Then, the storage function model approach is reviewed, including an extension to urban basins, as well as recent experiments with AI-based emulation in Japanese basins. Subsequently, we review the prospects of detailed hydrodynamic modeling involving high-resolution, vector-based Geographical Information System (GIS) data for the optimal description of the urban environment with applications in Tokyo. We conclude the paper with some future prospects related to urban flood risk modeling and assessment in Japan.

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“…As a general rule, models with ∆ ≤ 2 have substantial predictability support, those with 2 ≤ ∆ ≤ 7 have considerably less support, and models with ∆ ≥ 7 have no support (Burnham et al, 2010). Gopalan et al (2018) propose another way to interpret the AICC: normalising the relative likelihood values and calling it AW. The weights of all the models added together will be equal to one; thus, the model with the highest AW is considered the most effective because the weight of evidence that a model i is greater, and it is the best approximation of reality.…”

Section: Akaike's Information Criterion (Aic)mentioning

confidence: 99%

Optimisation of Multiple Response Processes Using Different Modeling Techniques

Maciel Gomes,

Imamura,

De Souza Sampaio

et al. 2023

QIP Journal

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Purpose: This article aims to compare the impact on process optimisation with multiple responses of two different mathematical modelling methods: Ordinary Least Squares Method (OLS) and Symbolic Regression Method (SR). Methodology/Approach: Data from the literature were selected from the design of experiments for a process with multiple responses. Using these data, models were obtained that represented each response as a function of independent variables using the OLS and SR techniques. Then, the Desirability method was applied together with the Generalized Reduced Gradient (GRG) in order to obtain the process adjustment that would lead to the optimisation of the responses. Findings: The findings illustrate that the SR modelling technique yields models with superior predictive capabilities when contrasted with the OLS technique. Throughout the optimisation process, it becomes evident that the adjustments in the process diverge, even though the desirability function's value exhibits negligible variation. Research Limitation/implication: This research considered only an SR algorithm and a process with two dependent variables and two independent variables. Originality/Value of paper: No works were found in the literature that reported the use of the Age-Layered Population Structure (ALPS) algorithm in modelling processes that contain multiple responses. Furthermore, no comparison of this method with the OLS method was available. Category: Research paper.

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An effective storage function model for an urban watershed in terms of hydrograph reproducibility and Akaike information criterion

Cited by 23 publications

References 36 publications

Impact assessment of reservoir operation in the context of climate change adaptation in the Chao Phraya River basin

Impact assessment of reservoir operation in the context of climate change adaptation in the Chao Phraya River basin

Urban Flood Runoff Modeling in Japan: Recent Developments and Future Prospects

Optimisation of Multiple Response Processes Using Different Modeling Techniques

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