Abstract:Groundwater level prediction is important for effective water management. Accurately predicting groundwater levels allows decision-makers to make informed decisions about water allocation, groundwater abstraction rates, and groundwater recharge strategies. Groundwater level prediction can also be used to develop more effective drought preparedness plans to mitigate the impact of water scarcity. In this study, we introduce a new model called self-attention (SA) temporal convolutional network (SATCN)-long short … Show more
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