Probabilistic forecasting of drought events using Markov chain- and Bayesian network-based models: A case study of an Andean regulated river basin

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 might help to optimize a priori the planning and management of the water resources in...

• Huvudupphovsman: Avilés Añazco, Alex Manuel (author)
• Övriga upphovsmän: Célleri Alvear, Rolando Enrique (author)
• Materialtyp: article
• Publicerad: 2016
• Ämnen: Andean Watersheds; Bayesian Networks; Copulas; Drought Index; Markov Chains; Probabilistic Drought Forecasting
• Länkar: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84960093877&doi=10.3390%2fw8020037&partnerID=40&md5=60ee68be59fdeb2caed89bf246e76c53; http://dspace.ucuenca.edu.ec/handle/123456789/29129