Hydrometeorological drought forecasting in hyper-arid climates using nonlinear autoregressive neural networks
AA Alsumaiei, MS Alrashidi - Water, 2020 - mdpi.com
Drought forecasting is an essential component of efficient water resource management that
helps water planners mitigate the severe consequences of water shortages. This is
especially important in hyper-arid climates, where drought consequences are more drastic
due to the limited water resources and harsh environments. This paper presents a data-
driven approach based on an artificial neural network algorithm for predicting droughts.
Initially, the observed drought events in the State of Kuwait were tested for autocorrelation …
helps water planners mitigate the severe consequences of water shortages. This is
especially important in hyper-arid climates, where drought consequences are more drastic
due to the limited water resources and harsh environments. This paper presents a data-
driven approach based on an artificial neural network algorithm for predicting droughts.
Initially, the observed drought events in the State of Kuwait were tested for autocorrelation …
[引用][C] Hydrometeorological drought forecasting in hyper-arid climates using nonlinear autoregressive neural networks. Water (Switzerland). 2020
AA Alsumaiei, MS Alrashidi - 2020
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