Integrating XAJ Model with GIUH Based on Nash Model for Rainfall-Runoff Modelling

Chen, Yingbing; Shi, Peng; Qu, Simin; Ji, Xiaomin; Zhao, Lanlan; Gou, Jianfeng; Mou, Shiyu

doi:10.3390/w11040772

Cited by 11 publications

(12 citation statements)

References 28 publications

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“…On the other hand, in the Temon sub-watershed, the discrepancies are 33.88%, 28.63%, and 25.09% for q p , t p , and t b , respectively. The determination of unit hydrograph by the method of GIUH requires information on the Instantaneous Unit Hydrograph or IUH and values of constants n and k from the Nash Model [2,3] This was probably due to the two geomorphological characteristics being different. Another reason is due to the rainfall event that took place unevenly over the entire catchment.…”

Section: Giuh-based Unit Hydrographs Of Keduang and Temon Sub-watershedsmentioning

confidence: 99%

“…There were several works related to GIUH model developments, and among of them were those carried out by Azizian [1], Chen et al [2] and Sulistyowati et al [3]. Azizian [1] recommended both Kirpich and Ventura time of concentration equations whereas Chen et al [2] and Sulistyowati et al [3] only utilized the Kirpich time of concentration equation.…”

Section: Introductionmentioning

confidence: 99%

“…There are many formulas for Tc that utilize the first approach including Kirpich and Ventura. The Kirpich time of concentration is more widely used than that of Ventura due to basin size considerations [1,[3][4][5] because of the Kirpich equation is more suitable for relatively small catchment areas (0.004-0.453 km 2 ). The Ventura time of concentration was developed for rural basins in Italy; however, it is considered suitable for application in tropical climates and relatively large catchment areas.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

The Influence of Two Different Time of Concentration Equations on the GIUH-based Flood Hydrograph Estimates of Keduang and Temon Sub-Watersheds, Indonesia

Harset

Jayadi

Legono

2021

Curr. Appl. Sci. Technol.

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Understanding the rainfall-runoff response on a watershed requires the study of both the observed and synthetic unit hydrographs. The application of a synthetic unit hydrograph for an ungauged watershed is the prospective alternative. Model development to obtain the unit hydrograph without rainfall and runoff data requires information on the physical characteristics of the watershed and its geomorphological parameters. This paper presents the results of a study on the application of the Geomorphological Instantaneous Unit Hydrograph (GIUH) model in which the time of concentration equations of Kirpich and Ventura were used as a comparison. The study objects are the Keduang and Temon Sub-watersheds of the Upper Bengawan Solo River, Indonesia. The study utilized the sub-watershed characteristic data obtained from the satellite data of ASTER Global DEM V3, which was then processed with the Watershed Modeling System and ArcMap. The results show that in the Keduang Sub-watershed, the Ventura equation gave results closer to the observed unit hydrograph than the Kirpich equation. In the Keduang Sub-watershed, the differences between the two times of concentration on the triangular parameters were significant, i.e. 77.13%, 337.57%, and 338.20% for peak discharge, peak time, and base time, respectively. On the other hand, in Temon Sub-watershed, the differences were 33.88%, 28.63%, and 25.09% for peak discharge, peak time, and base time, respectively. In terms of the GIUH-based flood hydrograph estimation, the results show that the utilization of the Ventura equation generally led to better estimates (closer to the observed flood hydrograph) than that of Kirpich equation.

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Section: Giuh-based Unit Hydrographs Of Keduang and Temon Sub-watershedsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

The Influence of Two Different Time of Concentration Equations on the GIUH-based Flood Hydrograph Estimates of Keduang and Temon Sub-Watersheds, Indonesia

Harset

Jayadi

Legono

2021

Curr. Appl. Sci. Technol.

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show abstract

“…Therefore, hydrological models have become the key way to solve such problems [3]. Commonly used hydrological models include the SHE model, SWAT model [4][5][6][7], TOPMODEL model [8][9][10], and the Xinanjiang model [11,12], etc. With further research, various coupling models have been widely used.…”

Section: Introductionmentioning

confidence: 99%

Accuracy Analysis of IMERG Satellite Rainfall Data and Its Application in Long-term Runoff Simulation

Zhang

Ruan

et al. 2020

Water

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Frequent flood disasters have caused serious damage to karst areas with insufficient measured rainfall data, and the analysis of the applicability of satellite rainfall data in runoff simulation is helpful to the local water management. Therefore, the purpose of this study is to analyze the accuracy of IMERG satellite rainfall data and apply it to long-term runoff simulations in a karst area—the Xiajia River basin, China. First, R (correlation coefficient) and POD (probability of detection) are applied to analyze the accuracy of the IMERG data, and the SWAT model is used for runoff simulation. The results show that the accuracy of the original IMERG data is poor (R range from 0.412 to 0.884 and POD range from 47.33 to 100), and the simulation results are “Unsatisfactory” (NSE (Nash-Sutcliffe efficiency coefficient) ranged from 0.17 to 0.32 and RSR (root mean square standard deviation ratio) ranged from 0.81 to 0.92). Therefore, the GDA correction method is used to correct the original IMERG data, and then the accuracy analysis and runoff simulation are carried out. The results show that the accuracy of the corrected IMERG data is better than that of the original data (R range from 0.886 to 0.987 and POD range from 94.08 to 100), and the simulation results of the corrected IMERG data are “Satisfactory” (NSE is over 0.55 and RSR is approximately 0.65). Therefore, the corrected data have a certain applicability in long-term continuous runoff simulations.

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“…Rainfall data are important basic data in hydrological and water resources research. These types of data are some of the main driving data forms in water resource evaluation, water cycle simulation [1][2][3][4], and water use efficiency calculation [5,6]. How to construct a scientific and reasonable rainfall network to obtain rainfall data has always been the most basic and important part of hydrological measurement work.…”

Section: Introductionmentioning

confidence: 99%

Comparison and Analysis of Different Discrete Methods and Entropy-Based Methods in Rain Gauge Network Design

Huang

Zhao

Jiang

et al. 2019

Water

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A reasonable rain gauge network layout can provide accurate regional rainfall data and effectively support the monitoring, development and utilization of water resources. Currently, an increasing number of network design methods based on entropy targets are being applied to network design. The discretization of data is a common method of obtaining the probability in calculations of information entropy. To study the application of different discretization methods and different entropy-based methods in the design of rain gauge networks, this paper compares and analyzes 9 design results for rainy season rain gauge networks using three commonly used discretization methods (A1, SC and ST) and three entropy-based network design algorithms (MIMR, HT and HC) from three perspectives: the joint entropy, spatiality, and accuracy of the network, as evaluation indices. The results show that the variation in network information calculated by the A1 and ST methods for rainy season rain gauge data is too large or too small compared to that calculated by the SC method, and also that the MIMR method performs better in terms of spatiality and accuracy than the HC and HT methods. The comparative analysis results provide a reference for the selection of discrete methods and entropy-based objectives in rain gauge network design, and provides a way to explore a more suitable rain gauge network layout scheme.

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Integrating XAJ Model with GIUH Based on Nash Model for Rainfall-Runoff Modelling

Cited by 11 publications

References 28 publications

The Influence of Two Different Time of Concentration Equations on the GIUH-based Flood Hydrograph Estimates of Keduang and Temon Sub-Watersheds, Indonesia

The Influence of Two Different Time of Concentration Equations on the GIUH-based Flood Hydrograph Estimates of Keduang and Temon Sub-Watersheds, Indonesia

Accuracy Analysis of IMERG Satellite Rainfall Data and Its Application in Long-term Runoff Simulation

Comparison and Analysis of Different Discrete Methods and Entropy-Based Methods in Rain Gauge Network Design

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