Abstract
Abstract. The Mekong Delta is the most important food production
area in Vietnam, but salinity intrusion during the dry season poses a
serious threat to agricultural production and livelihoods. A seasonal
forecast of salinity intrusion is required in order to mitigate the negative
effects. This communication presents a statistical seasonal forecast model
based on logistic regression using either the ENSO34 index or streamflow as
a predictor. The model is able to reliably predict the salinity intrusion up to 9
months ahead (receiver operating characteristic (ROC) scores: >0.8). The model can
thus be used operationally as a basis for timely adaptation and mitigation
planning.
Subject
General Earth and Planetary Sciences
Cited by
20 articles.
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