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Drought Indicator Assessment In Lake Management Using A Bayesian Network Model

Abstract

To implement more integrated and effective drought management under the consideration of uncertainties, it is essential to identify and assess the underlying interactions and impacts of drought indicators to the economic and ecological systems in a lake. In this study, a Bayesian network model was developed to facilitate the assessment and response of drought indicators in the context of economic and environmental utilities

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