Algorithm for Real Time Correction of Stream Flow Concentration Based on Kalman Filter-Reference-Cited by-同舟云学术

Algorithm for Real Time Correction of Stream Flow Concentration Based on Kalman Filter

Published:2008-05 Issue:5 Volume:13 Page:290-296
ISSN:1084-0699
Container-title:Journal of Hydrologic Engineering
language:en
Short-container-title:J. Hydrol. Eng.

Author:

Wang Chuan-Hai¹²,Bai Yao-Ling¹²

Affiliation:

1. Associate Professor, State Key Laboratory of Hydrology, Water Resources and Hydraulic Engineering, College of Water Resources and Environment, Hohai Univ., 1 Xikang Rd., Nanjing 210098, China. E-mail: wangchuanhai@vip.sina.com

2. Research Assistant, State Key Laboratory of Hydrology, Water Resources and Hydraulic Engineering, College of Water Resources and Environment, Hohai Univ., 1 Xikang Rd., Nanjing 210098, China.

Publisher

American Society of Civil Engineers (ASCE)

Subject

General Environmental Science,Water Science and Technology,Civil and Structural Engineering,Environmental Chemistry

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%291084-0699%282008%2913%3A5%28290%29

Reference23 articles.

1. A reappraisal of the Kalman filtering technique, as applied in river flow forecasting

2. Application of nonlinear filtering in the real time forecasting of river flows

3. Deferential Newton iteration method of nonlinear Muskingum model;Chen S. L.;Hydrology,1992

4. Research on the on-line real-time flood forecasting for the Three River in Jialingjiang River Basin;Chen X. H.;SHUI WEN,1995

5. Cooper D. M. and Wood E. F. (1980a). “Parameter estimation of hydrologic state-space models with unknown system and measurement noise.” National Science Foundation Grant ENG 77-11841 National Science Foundation Arlington Va.

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