Conditional seasonal markov-switching autoregressive model to simulate extreme events: Application to river flow-Reference-Cited by-同舟云学术

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Conditional seasonal markov-switching autoregressive model to simulate extreme events: Application to river flow

Published:2024-07 Issue: Volume:178 Page:106066
ISSN:1364-8152
Container-title:Environmental Modelling & Software
language:en
Short-container-title:Environmental Modelling & Software

Author:

Habeeb Bassel,Bastidas-Arteaga Emilio^ORCID,Sánchez-Silva Mauricio,Dong You

Publisher

Elsevier BV

Reference52 articles.

1. Evaluation of artificial intelligence models for flood and drought forecasting in arid and tropical regions;Adikari;Environ. Model. Software,2021

2. Assessing minimum environmental flows in nonpermanent rivers: the choice of thresholds;Aguilar;Environ. Model. Software,2016

3. Markov chain-based modeling techniques for stochastic generation of daily intermittent streamflows;Aksoy;Adv. Water Resour.,2003

4. Advances in pan-European flood hazard mapping: advances in pan-EUROPEAN flood hazard mapping;Alfieri;Hydrol. Process.,2014

5. An outlier detection approach for water footprint assessments in shale formations: case Eagle Ford play (Texas);Arciniega-Esparza;Environ. Earth Sci.,2020

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