A Study on a Simple Algorithm for Parallel Computation of a Grid-Based One-Dimensional Distributed Rainfall-Runoff Model

Choi, Yun Seok; Shin, Mun-Ju; Kim, Kyung Tak

doi:10.1007/s12205-020-2458-z

Cited by 5 publications

(4 citation statements)

References 16 publications

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“…From the point of view of HRV analysis, frequency monitoring works best in the analytical corner of our article, and LF feature is the most important indicator of HRV to determine the characteristics of brain stress, observation time, and nonlinear distribution analysis. Closely, its nonlinear nature suggests that the VLI, which ranks second after frequency measurements, excludes the Poincare scatterplot, a measure of how much VLI is used in this document that can determine stress in the brain [25].…”

Section: Pressure Identification Weight Analysis Of Hrvmentioning

confidence: 99%

K-Means Algorithm to Identify the Elderly Psychological Stress Analysis Algorithm

Gao

2022

Advances in Multimedia

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In order to study the psychological anxiety of the elderly, a psychological stress recognition algorithm based on ECG signal acquisition and heart rate variability was proposed based on the K-means algorithm. By collecting ECG signals of the elderly, HRV information can be accurately obtained, and RFC can be used to identify the psychological changes of the elderly under different degrees of stress. The research results show that the LR and RFC models have a better recognition effect on psychological stress when comparing with the KNN model. When the psychological stress is high, the test accuracy of the KNN model is 84.51%. The accuracy of stress recognition was 93.45%, and the accuracy of RFC’s recognition of psychological stress was 93.88%.

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Section: Pressure Identification Weight Analysis Of Hrvmentioning

confidence: 99%

K-Means Algorithm to Identify the Elderly Psychological Stress Analysis Algorithm

Gao

2022

Advances in Multimedia

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“…One solution is to use parallel computing where the methods continuously divide grid to each core processor follow features in the computing. Studies based on parallel techniques such as a finite volume method parallelization for the simulation of free surface shallow water flows 4 , the shallow water equations for modelling overland flows 5 , a fast simulation of largescale floods based on GPU parallel computing 6 , and a simple algorithm for parallel computation of a grid-based one-dimensional distributed rainfall-runoff model 7 .…”

Section: Introductionmentioning

confidence: 99%

A Parallel Program for the Simulation of Flooding

Busaman,

MCNEIL,

Chuai-Aree

et al. 2024

Preprint

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Flood simulation reduces computational time, which is essential for timely prevention. It needs numerical algorithms for reducing computation times without losing much accuracy in the results of flood simulation. This study presents a parallel algorithm by applying the automatic domain updating method for solving the shallow water equation with the well-balanced positivity-preserving first-order finite volume scheme. The developed parallel program was tested by simulating the water flow, compared with the results obtained in the literature, and applied to the Bang Lang dam break simulation to create information on flooding. The computational times obtained by the proposed parallel program were compared with those of the serial program, which used only the automatic domain updating method without the parallel technique. The results show that the parallel program outperforms the serial program by reducing the computational time.

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“…Such forecasts are essential for deciding design factors of hydraulic infrastructures, early warnings of oods or droughts, operating reservoir or hydropower plants, and planning irrigation and water resources management activities (Bakhtiari, 2018;Ferraro, Costabile, Costanzo, Petaccia, & Macchione, 2020;Li et al, 2020;Ren, Hong, Li, Kang, & Li, 2020;Yang, Magnusson, Huang, Beldring, & Xu, 2020). The relationship between rainfall and runoff is always very di cult to be structured because of the immense spatial and temporal variability of rainfall and the physical characteristics of the watershed, as well as a few hydrological features of the watershed that should be included in the model process (Choi, Shin, & Kim, 2020;Gan, He, & Qin, 2020;Ling et al, 2019). Therefore, many R-R models have been developed over time based on a different concept (Kimura et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Assessment of climate change impact on probable maximum floods in a tropical catchment

Sammen

Mohammed

Ghazali

et al. 2022

Theor Appl Climatol

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Increased extreme rainfall due to climate change will increase the probable maximum ood (PMF) and pose a severe threat the critical hydraulic infrastructure like hydroelectric and ood protection dams. As the rainfall extremes in tropical regions are highly sensitive to global warming, increase PMF can be much higher in the tropics. A study has been conducted to assess the impact of climate change on PMF in a tropical catchment located in peninsular Malaysia. A lumped hydrological model, Mike NAM, is calibrated and validated with observed climate and in ow data of Tenmengor reservoir, located in the state of Perak of Peninsular Malaysia. Regional climate model projected rainfall is used to generate probable maximum precipitation (PMP) for future periods. The hydrological model is used to simulate PMF from PMP estimated for the historical and two future periods, early (2031−2045) and late (2060−2075). The results revealed the NAM model could simulate the river ow with a Nash-Sutcliffe e ciency of 0.74 and root mean square error of 0.51. The application of the model with projected rainfall revealed an increase in PMP by 162 to 507% and 259 to 487% during early and late periods for different return periods ranging from 5 to 1000 years. This would cause an increase in PMF by 48.9% and 122.6% during early and late periods. A large increase in PMF indicates the possibility of devastating oods in the study area due to climate change.

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A Study on a Simple Algorithm for Parallel Computation of a Grid-Based One-Dimensional Distributed Rainfall-Runoff Model

Cited by 5 publications

References 16 publications

K-Means Algorithm to Identify the Elderly Psychological Stress Analysis Algorithm

K-Means Algorithm to Identify the Elderly Psychological Stress Analysis Algorithm

A Parallel Program for the Simulation of Flooding

Assessment of climate change impact on probable maximum floods in a tropical catchment

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