Integration of ANN with TOPMODEL in daily stream flow forecasting

Jingwen Xu; Xingmei Xie; Junren Xian; Wanchang Zhang; Lan Shen

doi:10.1117/12.869954

21 July 2010 Integration of ANN with TOPMODEL in daily stream flow forecasting

Jingwen Xu, Xingmei Xie, Junren Xian, Wanchang Zhang, Lan Shen

Proceedings Volume 7749, 2010 International Conference on Display and Photonics; 77491I (2010) https://doi.org/10.1117/12.869954
Event: 2010 International Conference on Display and Photonics, 2010, Nanjing, China

Abstract

Despite the strength and a increasing interest in application of artificial neural networks (ANNs) to rainfall runoff simulating, the deficiencies associated with traditional applications of ANNs in which the networks essentially function as black box models is obvious. The objective of this work is therefore to enhance the ANN-based rainfall runoff models' ability in the description of hydrological processes such as interception, infiltration, surface runoff, sub-surface runoff and evapotranspiration by integrating it with TOPMODEL, which is a simple physically based rainfall-runoff model and has become increasingly popular and widely used in a great number of applications in recent years. A new integrated model named ANN-TOPMODEL is proposed in this study. Baohe River basin (2413 km²), located at the upper stream of the Hanjiang Catchment in Yangtze River Basin, China, is selected as the study area for testing the new model. The results show that the daily stream flows simulated by the new model are in good agreement with the observed ones, while the daily stream flows simulated by TOPMODEL greatly overestimates or underestimates some peak flows both for calibration period and validation period. Further more, the new model resulted in a Nash and Sutcliffe efficiency coefficient value of 0.905 for validation period, which is significantly larger than TOPMODEL. The results demonstrate that the proposed integrated model based on ANN and TOPMODEL is promising in daily stream flow modeling.

Citation Download Citation

Jingwen Xu, Xingmei Xie, Junren Xian, Wanchang Zhang, and Lan Shen "Integration of ANN with TOPMODEL in daily stream flow forecasting", Proc. SPIE 7749, 2010 International Conference on Display and Photonics, 77491I (21 July 2010); https://doi.org/10.1117/12.869954

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available