An integrated autoregressive model for predicting water quality dynamics and its application in Yongding River

An integrated autoregressive model for predicting water quality dynamics and its application in Yongding River

It is important to predict evolution processes of water quality in order to effectively protect the aquatic eco-system. We proposed an integrated autoregressive (AR) prediction model based on Markov-switching (MS) theory and the improved crow search algorithm (ICSA), and the integrated model of ICSA...

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Bibliographic Details
Main Authors: Chang, Y. (Author), Liu, C. (Author), Luo, M. (Author), Pan, C. (Author)
Format: Article
Language:English
Published: Elsevier B.V. 2021
Subjects:
Akaike information criterion
Autoregressive
Auto-regressive
Autoregressive modelling
Forecasting
Improved crow search algorithm
Improved Crow Search Algorithm
integrated approach
Integrated modeling
Learning algorithms
Markov switching
Markov-switching theory
river water
Rivers
Search Algorithms
temporal evolution
water quality
Water quality
Water quality model
Water quality modelling
Yingding river
Yingding River
Yongding river
Yongding River [China]
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