What is it about?
The accurate evaluation of drought plays an urgent role in the optimal solution for future development. The present research aimed to predict and assess drought in Nineveh governorate northwestern Iraq by integrated a fuzzy logic procedure with Geographical Information System (GIS) environment.
Featured Image
Photo by Markus Winkler on Unsplash
Why is it important?
To prevent the dangers of drought in the study area, effective solutions and rapid plans must be implemented to reduce the growth of this phenomenon. Such plans may include exploitation of precipitation in the rainy years and harvesting it with one of the rainwater harvesting techniques according to the geological and geomorphological nature of the region.
Perspectives
Writing this article was a great pleasure as it has co-authors with whom I have had long standing collaborations. This article also lead to rare disease groups contacting me and ultimately to a greater involvement in rare disease research.
Dr. bashar muneer yahya
University of Mosul
Read the Original
This page is a summary of: Integrated Artificial Intelligent with RS and GIS for Long-Term Drought Prediction, IOP Conference Series Materials Science and Engineering, May 2021, Institute of Physics Publishing,
DOI: 10.1088/1757-899x/1152/1/012024.
You can read the full text:
Contributors
The following have contributed to this page
