Application of a Fractional Instantaneous Unit Hydrograph in the TOPMODEL: A Case Study in Chengcun Basin, China

Author:

Xiang Xin1ORCID,Ao Tianqi1,Li Xiaodong1

Affiliation:

1. State Key Laboratory of Hydraulics and Mountain River Engineering, College of Water Resource & Hydropower, Sichuan University, No. 24 South Section 1, Yihuan Road, Chengdu 610065, China

Abstract

The movement of water flow usually has history and path dependence. Fractional calculus is very suitable for describing the process with memory and hereditary properties. In this study, the order of the differential equation in the Nash confluence system was extended from integer order to fractional order. On the basis of the Laplace transform, the fractional instantaneous unit hydrograph was obtained, which was used to describe the long-term memory of the basin confluence system. Furthermore, the enhanced TOPMODEL (FTOP) model was obtained by applying the fractional instantaneous unit hydrograph as the surface runoff calculation. Taking Chengcun Basin in China as an example, the FTOP model was used to simulate the daily runoff and 22 floods from 1989 to 1996. The simulation results were compared with two original TOPMODEL models (the NTOP and ITOP models). The results show that in the daily runoff simulation, the Nash–Sutcliffe efficiency (NSE), relative error (RE), and root mean square error (RMSE) of the FTOP model were 0.82, −11.14%, and 15.25 m3/s, respectively, being slightly better than the other two TOPMODEL models. According to the hydrologic frequency curve, the measured daily runoff was divided into different flow levels. It was found that the FTOP model can improve the simulation effect of the medium-flow (frequency between 10% and 50%) and low-flow (frequency more than 50%) sections to a certain extent. In the flood simulation, the average runoff depth relative error (RDRE), peak discharge relative error (PDRE), peak occurrence time error (POTE), and NSE of 22 floods were 1.99%, 14.06%, −1.27, and 0.88, respectively, indicating that the simulation effect had been improved. Especially in NSE, the improvement was more prominent, meaning that the FTOP model can better simulate the flooding process. However, the flood peak and runoff depth simulation effect were not significantly improved. These conclusions indicate that the confluence method using the fractional instantaneous unit hydrograph as the TOPMODEL model can improve the simulation effect.

Funder

Regional Innovation Cooperation Program

Science and Technology Department of Sichuan Province

Science and Technology Department of Tibet

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

Reference99 articles.

1. A Rainfall-Runoff Model with LSTM-Based Sequence-to-Sequence Learning;Xiang;Water Resour. Res.,2020

2. Exploring a Long Short-Term Memory based Encoder-Decoder framework for multi-step-ahead flood forecasting;Kao;J. Hydrol.,2020

3. Arnone, E., Zoratti, V., Formetta, G., Bosa, S., and Petti, M. (2023). Predicting peakflows in mountain river basins and data-scarce areas: A case study in northeastern Italy. Hydrol. Sci. J., just accepted.

4. Vasiliades, L., Farsirotou, E., and Psilovikos, A. (2022, January 7–9). An Integrated Hydrologic/Hydraulic Analysis of the Medicane “Ianos” Flood Event in Kalentzis River Basin, Greece. Proceedings of the 7th IAHR Europe Congress, Athens, Greece.

5. Psilovikos, A., Mpouras, G., Papathanasiou, T., Malamataris, D., Psilovikos, T., and Spiridis, A. (2021, January 1–4). Impacts of Wildfires on Surface Runoff and Erosion: The Case Study of a Fire Event in Pelion Area, Greece. Proceedings of the 17th International Conference on Environmental Science and Technology, Athens, Greece.

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3