Home / Journals American Journal of Neural Networks and Applications / Application of Data Mining in Earth Sciences
Application of Data Mining in Earth Sciences
Submission Deadline: May 30, 2017
Lead Guest Editor
Mehdi Vafakhah
Department of Watershed Mangement, Taribiat Modares University, Nour, Mazandaran, Iran
Guest Editor
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Guidelines for Submission
Manuscripts can be submitted until the expiry of the deadline. Submissions must be previously unpublished and may not be under consideration elsewhere.
Papers should be formatted according to the guidelines for authors (see: http://www.sciencepublishinggroup.com/journal/guideforauthors?journalid=339). By submitting your manuscripts to the special issue, you are acknowledging that you accept the rules established for publication of manuscripts, including agreement to pay the Article Processing Charges for the manuscripts. Manuscripts should be submitted electronically through the online manuscript submission system at http://www.sciencepublishinggroup.com/login. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal and will be listed together on the special issue website.
Published Papers
The special issue currently is open for paper submission. Potential authors are humbly requested to submit an electronic copy of their complete manuscript by clicking here.
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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