Loading...
Projects source: E-CRIS

Development of Hydro-information system for monitoring and early drought warning

Research activity

Code Science Field
B410  Biomedical sciences  Soil science, agricultural hydrology 
P175  Natural sciences and mathematics  Informatics, systems theory 
P500  Natural sciences and mathematics  Geophysics, physical oceanography, meteorology 
T220  Technological sciences  Civil engineering, hydraulic engineering, offshore technology, soil mechanics 
T420  Technological sciences  Agricultural engineering, agricultural machines, farmhouse construction 
Keywords
Drought, monitoring, early warning, information systems, water demand, irrigation
Organisations (4)
0116  University of Nis, Faculty of Civil Engineering and Architecture
0024  University of Belgrade, Faculty of Forestry
0034  University of Novi Sad, Faculty of Agriculture
0038  University of Novi Sad, Faculty of Technical Sciences
Abstract
Drought is a natural hazard caused by the variability in climate, which cannot be prevented; however, its effects can be reduced through management systems incorporating drought monitoring and early warning. The main aim of the proposed project is the development of information system for reliable monitoring and early drought warning based on model with optimal set of hydro meteorological parameters: minimal number, availability of gauge data, and spatial distribution of measuring locations. Monitoring the relevant hydro meteorological parameters and creation of suitable forecast tools within a hydro-information system for monitoring and early drought warning would serve as a platform for decision making in drought effects reduction. Significance of the project is in the substitution of complex climatologic models, which required time and maintenance investments, with a practical method for estimation of drought duration and intensity which will satisfy the users’ needs and will not require considerable economic investment. The system would be interoperable with the Water resource information system of Serbia. For semantic integration of data sets from the various centers (Serbia and USA), water resources and agriculture ontology will be applied, whereas the drought related ontologies will be applied for the operation of drought monitoring systems. Specification of the expected results in the project: M20 M30 M40 M50 M60 M70 M80 8 10 1 13 6 3 1
Views history
Favourite