Using AR, MA, and ARMA Time Series Models to Improve the Performance of MARS and KNN Approaches in Monthly Precipitation Modeling under Limited Climatic Data-Reference-Cited by-同舟云学术

Using AR, MA, and ARMA Time Series Models to Improve the Performance of MARS and KNN Approaches in Monthly Precipitation Modeling under Limited Climatic Data

Published:2019-12-10 Issue:1 Volume:34 Page:263-282
ISSN:0920-4741
Container-title:Water Resources Management
language:en
Short-container-title:Water Resour Manage

Author:

Mehdizadeh Saeid

Publisher

Springer Science and Business Media LLC

Subject

Water Science and Technology,Civil and Structural Engineering

Link

http://link.springer.com/content/pdf/10.1007/s11269-019-02442-1.pdf

Reference35 articles.

1. Ahani A, Shourian M, Rahimi Rad P (2018) Performance assessment of the linear, nonlinear and nonparametric data driven models in river flow forecasting. Water Resour Manag 32(2):383–399

2. Antar MA, Elassiouti I, Allam MN (2006) Rainfall–runoff modelling using artificial neural networks technique: a Blue Nile catchment case study. Hydrol Process 20(5):1201–1216

3. Barzegar R, Fijani E, Moghaddam AA, Tziritis E (2017) Forecasting of groundwater level fluctuations using ensemble hybrid multi-wavelet neural network-based models. Sci Total Environ 599-600:20–31

4. Box G, Jenkins G, Reinsel GC (1994) Time series analysis. Forecasting and control, 3rd edn. Prentice-Hall, Inc., Englewood Cliffs

5. Cárdenas-Peña D, Orozco-Alzate M, Castellanos-Dominguez G (2013) Selection of time-variant features for earthquake classification at the Nevado-del-Ruiz volcano. Comput Geosci 51:293–304

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