Rainfall-runoff forecasting methods, old and new-Reference-Cited by-同舟云学术

Rainfall-runoff forecasting methods, old and new

Published:1987-12 Issue:4 Volume:1 Page:303-318
ISSN:0931-1955
Container-title:Stochastic Hydrology and Hydraulics
language:en
Short-container-title:Stochastic Hydrol Hydraul

Author:

Karlsson M.,Yakowitz S.

Publisher

Springer Science and Business Media LLC

Subject

General Environmental Science,Safety, Risk, Reliability and Quality,Water Science and Technology,Environmental Chemistry,Environmental Engineering,Mechanical Engineering,Ocean Engineering,General Environmental Science,Safety, Risk, Reliability and Quality,Water Science and Technology,Modeling and Simulation,Environmental Chemistry,Environmental Engineering

Link

http://link.springer.com/content/pdf/10.1007/BF01543102.pdf

Reference43 articles.

1. Amorocho, J. 1967: The nonlinear prediction problem in the study of the runoff cycle. Water Resour. Res. 3 861?874

2. Amorocho, J.; Brandstetter, A. 1971: Determination of nonlinear functional in rainfall-runoff process. Water Resour. Res. 7 1087?1101

3. Anderson, B.D.; Moore, J.B. 1979: Optimal filtering. New Jersey: Prentice-Hall

4. Bras, R.; Rodriguez-Iturbe, I. 1985: Random functions and hydrology. Reading, Mass.: Addison Wesley

5. Chander, S.; Shanker, H. 1984: Unit hydrograph based forecast model. J. Hydrological Sciences 29, 279?291

Cited by 54 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

1. Improving streamflow forecasting in semi-arid basins by combining data segmentation and attention-based deep learning;Journal of Hydrology;2024-11

2. A k-nearest neighbor space-time simulator with applications to large-scale wind and solar power modeling;Patterns;2022-03

3. Applications of Remote Sensing and GIS in Hydrological and Hydrogeological Studies;Advances in Geospatial Technologies;2022

4. A novel ensemble-based conceptual-data-driven approach for improved streamflow simulations;Environmental Modelling & Software;2021-09

5. Rainfall Forecasting Using Various Artificial Neural Network Techniques - A Review;International Journal of Scientific Research in Computer Science, Engineering and Information Technology;2021-06-13