A new real-time groundwater level forecasting strategy: Coupling hybrid data-driven models with remote sensing data
Author:
Funder
National Natural Science Foundation of China
National Key Research and Development Program of China
Publisher
Elsevier BV
Subject
Water Science and Technology
Reference91 articles.
1. Wavelet-copula-based mutual information for rainfall forecasting applications;Abdourahamane;Hydrol. Process.,2019
2. A wavelet neural network conjunction model for groundwater level forecasting;Adamowski;J. Hydrol.,2011
3. The development of dissolved oxygen forecast model using hybrid machine learning algorithm with hydro-meteorological variables;Ahmed;Environ. Sci. Pollut. Res.,2022
4. Akiba, T., Sano, S., Yanase, T., Ohta, T., Koyama, M., 2019. Optuna: A Next-generation Hyperparameter Optimization Framework, Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. Association for Computing Machinery, Anchorage, AK, USA, pp. 2623–2631. Doi: 10.1145/3292500.3330701.
5. Modelling bulk surface resistance by MODIS data and assessment of MOD16A2 evapotranspiration product in an irrigation district of Southern Italy;Autovino;Agric. Water Manage.,2016
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