Jobs:Job-01562
Apply before: 20 June 2024
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Posting:
Position: PhD. position
Apply before: 20 June 2024
Apply online:
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Applicants must hold a master in Engineering, Physics, Mathematics, Statistics, Informanatics, Agricultural or Forest Sciences, or similar curricula.
“Environmental monitoring data and probabilistic evaluation of irrigation water resources in Piemonte”
The doctoral project regards the use of environmental monitoring data for the evaluation of the irrigated areas and the water discharges actually utilised in Piemonte.
This project aims to quantify areas and discharges in order to prevent agricultural lack of water. Some drought has occurred in the last years, but today, an impressive amount of data is available and a variety of statistical and computer science tools can be applied for the study of this big data. Hundreds of meteorological stations in the Piemonte Region are operated in real time by ARPA every day. Also, the river level monitoring allows us to quantify the amount of water available for diversion in irrigation canals. These data cover more than twenty years and can be compared with satellite data.
This project will join specific mathematical models and a machine learning approach to combine ground and satellite data in an effective and unprecedented way. Furthermore, the use of such results will suggest prevention actions in order to limit the drought related risks due also to climate change.
Stefano Ferraris
Full professor
DIST Interuniversity Dept. of Regional and Urban Studies and Planning
