• Sorted by Date • Sorted by Last Name of First Author •
Soltani, Keyvan and Azari, Arash, 2022. Forecasting groundwater anomaly in the future using satellite information and machine learning. Journal of Hydrology, 612:128052, doi:10.1016/j.jhydrol.2022.128052.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2022JHyd..61228052S, author = {{Soltani}, Keyvan and {Azari}, Arash}, title = "{Forecasting groundwater anomaly in the future using satellite information and machine learning}", journal = {Journal of Hydrology}, keywords = {GRACE and GRACE-FO, Terrestrial Water Storage Anomaly (TWSA), Group Method of Data Handling (GMDH), GroundWater Anomaly (GWA), Climate change, Lake Urmia Basin (LUB)}, year = 2022, month = sep, volume = {612}, eid = {128052}, pages = {128052}, doi = {10.1016/j.jhydrol.2022.128052}, adsurl = {https://ui.adsabs.harvard.edu/abs/2022JHyd..61228052S}, adsnote = {Provided by the SAO/NASA Astrophysics Data System} }
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