A system-theory-based model for monthly river runoff forecasting: model calibration and optimization

[img]
Preview
PDF
Language: English
669Kb
Title:A system-theory-based model for monthly river runoff forecasting: model calibration and optimization
Creators:
Wu, Jianhua; wjh2005xy at 126 dot com; School of Environmental Science and Engineering, Chang’an University, No. 126 Yanta Road, Xi’an, 710054, Shaanxi, China
Qian, Hui; qianhui at chd dot edu dot cn; School of Environmental Science and Engineering, Chang’an University, No. 126 Yanta Road, Xi’an, 710054, Shaanxi, China
Li, Peiyue; lipy2 at 163 dot com; School of Environmental Science and Engineering, Chang’an University, No. 126 Yanta Road, Xi’an, 710054, Shaanxi, China
Song, Yanxun; songchdcn at 163 dot com; College of Geology Engineering and Geomatics, Chang'an University, No. 126 Yanta Road, Xi’an, 710054, Shaanxi, China.
Journal or Publication Title:
Journal of Hydrology and Hydromechanics, 62, 1, pp. 82-88
Uncontrolled Keywords:system theory, river runoff, weight function, frequency analysis, uncertainty

Abstract

River runoff is not only a crucial part of the global water cycle, but it is also an important source for hydro-power and an essential element of water balance. This study presents a system-theory-based model for river runoff fore-casting taking the Hailiutu River as a case study. The forecasting model, designed for the Hailiutu watershed, was cali-brated and verified by long-term precipitation observation data and groundwater exploitation data from the study area. Additionally, frequency analysis, taken as an optimization technique, was applied to improve prediction accuracy. Follow-ing model optimization, the overall relative prediction errors are below 10%. The system-theory-based prediction model is applicable to river runoff forecasting, and following optimization by frequency analysis, the prediction error is ac-ceptable

Official URL: http://147.213.145.2/vc/vc1.asp

Title:A system-theory-based model for monthly river runoff forecasting: model calibration and optimization
Translated title:A system-theory-based model for monthly river runoff forecasting: model calibration and optimization
Creators:
Wu, Jianhua; wjh2005xy at 126 dot com; School of Environmental Science and Engineering, Chang’an University, No. 126 Yanta Road, Xi’an, 710054, Shaanxi, China
Qian, Hui; qianhui at chd dot edu dot cn; School of Environmental Science and Engineering, Chang’an University, No. 126 Yanta Road, Xi’an, 710054, Shaanxi, China
Li, Peiyue; lipy2 at 163 dot com; School of Environmental Science and Engineering, Chang’an University, No. 126 Yanta Road, Xi’an, 710054, Shaanxi, China
Song, Yanxun; songchdcn at 163 dot com; College of Geology Engineering and Geomatics, Chang'an University, No. 126 Yanta Road, Xi’an, 710054, Shaanxi, China.
Uncontrolled Keywords:system theory, river runoff, weight function, frequency analysis, uncertainty
Subjects:T Technology > TA Engineering (General). Civil engineering (General)
Divisions:Mathematics, Physics and Earth Sciences > Institute of Hydrodynamics > Journal of Hydrology and Hydromechanics
Journal or Publication Title:Journal of Hydrology and Hydromechanics
Volume:62
Number:1
Page Range:pp. 82-88
ISSN:0042-790X
Publisher:Institute of Hydrology of the Slovak Academy of Sciences and the Institute of Hydrodynamics of the Academy of Sciences of the Czech Republic
Related URLs:
URLURL Type
http://avi.lib.cas.cz/node/55Publisher
ID Code:8189
Item Type:Article
Deposited On:05 Jun 2014 18:30
Last Modified:05 Jun 2014 16:30

Citation

Wu, Jianhua; Qian, Hui; Li, Peiyue; Song, Yanxun (2014) A system-theory-based model for monthly river runoff forecasting: model calibration and optimization. Journal of Hydrology and Hydromechanics, 62 (1). pp. 82-88. ISSN 0042-790X

Repository Staff Only: item control page