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May. 30, 2017
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Home / Journals / American Journal of Neural Networks and Applications / Application of Data Mining in Earth Sciences
Application of Data Mining in Earth Sciences
Lead Guest Editor:
Mehdi Vafakhah
Department of Watershed Mangement, Taribiat Modares University, Nour, Mazandaran, Iran
Data driven models has entered many area in earth sciences including hydrology, hydrogeology, natural disasters, geomorphology, meteorology, soil study. Recently, researchers have shown an increased interest in data driven models due to simple application. This special issue provides an opportunity to publish papers in any aspect of innovative of earth science.

Aims and Scope:

Regional analysis
Rainfall forecasting
Drought indices forecasting
Rainfall-runoff modeling
Streamflow forecasting
Sediment load forecasting
Evaporation forecasting
Ground and surface water quality forecasting
Groundwater level forecasting
Landslide mapping
Flood hazard mapping
Land use/land cover and snow cover area classification
Grounwater Potential Mapping
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