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Probabilistic Forecasting of Drought Events Using Markov Chain- and Bayesian Network-Based Models A Case Study of an Andean Regulated River Basin

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Probabilistic Forecasting of Drought Events Using Markov Chain- and Bayesian Network-Based Models A Case Study of an Andean Regulated River Basin

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Avilés-Añazco, A.; Celleri, R.; Solera Solera, A.; Paredes Arquiola, J. (2016). Probabilistic Forecasting of Drought Events Using Markov Chain- and Bayesian Network-Based Models A Case Study of an Andean Regulated River Basin. Water. 8(2). doi:10.3390/w8020037

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/94611

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Título: Probabilistic Forecasting of Drought Events Using Markov Chain- and Bayesian Network-Based Models A Case Study of an Andean Regulated River Basin
Autor:
Entidad UPV: Universitat Politècnica de València. Departamento de Ingeniería Hidráulica y Medio Ambiente - Departament d'Enginyeria Hidràulica i Medi Ambient
Fecha difusión:
Resumen:
[EN] The scarcity of water resources in mountain areas can distort normal water application patterns with among other effects, a negative impact on water supply and river ecosystems. Knowing the probability of droughts ...[+]
Palabras clave: Probabilistic drought forecasting , Drought index , Markov chains , Bayesian networks , copulas , Andean watersheds
Derechos de uso: Reconocimiento (by)
Fuente:
Water. (issn: 2073-4441 )
DOI: 10.3390/w8020037
Editorial:
MDPI AG
Versión del editor: https://doi.org/10.3390/w8020037
Tipo: Artículo

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