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Project Summary

URBAN-PREX PROJECT

Monitoring, forecasting and development of online public early warning system for extreme precipitations and pluvial floods in urban areas in the Hungarian-Serbian cross-border region

Project code: HUSRB/1602/11/0097
Lead Beneficiary: University of Novi Sad, Faculty of Sciences (UNSPMF)
Partners: University of Szeged, Dep. of Climatology and Landscape Ecology (SZTE)
  University of Novi Sad, Faculty of Technical Sciences (UNSFTN)
  Municipality of Szeged (MOS)
  Municipality of Novi Sad, PUC Water and Sewage Utility Novi Sad (VIKNS)
Duration: 01 11 2017 – 31 10 2019
Contact:
stevan.savic@dgt.uns.ac.rs (Stevan Savić, project manager)

The URBAN-PREX project is co-financed by the European Union through the Interreg-IPA CBC Hungary-Serbia Programme with 638,171.39 €, and total amount of the project is 750,789.99 €.

Climate change is expected to increase the frequency and intensity of precipitation and pluvial flood occurrences in urban areas of Central Europe. Thus, the proposed project presents an outstanding opportunity to develop and implement an innovative monitoring, forecasting and online public early warning system for extreme precipitation and pluvial floods in urban areas of the Hungarian-Serbian Cross-border region. Through the project, two dense monitoring precipitation networks will be installed in the most-populous cities of the Programme area: Novi Sad (Serbia) and Szeged (Hungary). Continuous data recording, transmission and processing, as well as real time display of the processed data in a spatial (i.e. map) form will be useful for citizens (i.e. individual adaptation) and public institutions (e.g. traffic and water management, city government) of the Cross-border region. Real-time precipitation forecasting model for the whole programme area supplemented with the forecast of pluvial flood occurrences in Novi Sad and Szeged will be developed through the project based on the measured data from the networks and the remotely sensed data. Measured data will be used to fine-tune the remotely sensed data thus enabling the development of more precise forecast model for the Programme area. Measured and forecasted data will be freely available for everyone in real-time on the project website, project social pages and mobile android application giving an early warning to the citizens and public authorities in order to protect them and prepare their effective response to these extreme weather and water situations.

This website has been produced with the financial assistance of the European Union.

The content of the website is the sole responsibility of Faculty of Sciences and can under no circumstances be regarded as reflecting the position of the European Union and/ or the Managing Authority.

News

Upcoming event: Workshop for public and stakeholders

Monday, 20nd May 2019. 10 AM.

Early warning

select location
warning_none_alt_   no warning at all...
Early warning system provides two types of informations:
First one is based on maximum precipitation insensity per period which city sewage can contain. Each WSN sensor area data per defined period is compared with such threshold. If half of the threshold is reached MEDIUM level is raised. If threshold is reached HIGH level is raised. Pace represents number of times when critical threshold was reached within measured period. Pace level reached in each measurement, for example 10/10, represents highest amount of percipitation detected with most serious consequences on area.
Second information is based on best practice which includes more everyday variables then previous calculations. Here entire volume of precipitation collected by WSN per defined period is compared with best practice threshold. Again, half of threshold raise MEDIUM level and if threshold is reached, HIGH level is raised.

WSN data

maximum detected values
id time precpt. int. air temp/inside case hum./overal prectp.
101 18-07-19/16:58:01 0 mm/min 32.69 C 53.739 mm
102 18-07-19/16:57:01 0 mm/min 32.62 C 93.932 mm
103 16-07-19/09:45:04 0.003 mm/min 30.31 C 118.379 mm
104 18-07-19/17:00:02 0 mm/min 35.44 C 28.593 mm
105 18-07-19/17:00:01 0 mm/min 27.62 C 0 mm
106 18-07-19/17:00:00 0 mm/min 31.81 C 105.37 mm
107 18-07-19/16:00:01 0 mm/min 29.25 C 2.813 mm
108 18-07-19/07:36:02 0.003 mm/min 30 C 2.781 mm
109 18-07-19/16:00:01 0 mm/min 37.06 C 208.828 mm
110 18-07-19/16:48:04 0 mm/min 28.94 C 155.058 mm
111 18-07-19/15:54:03 0 mm/min 28 C 0 mm
112 18-07-19/16:51:01 0 mm/min 33.5 C 152.389 mm
113 4-07-19/06:15:03 0.149 mm/min 26.44 C 118.379 mm
114 8-07-19/07:15:01 0 mm/min 28.44 C 0 mm
115 17-06-19/18:45:00 0.003 mm/min 30.31 C 118.379 mm
201 18-07-19/16:50:04 0 mm/h 30.6 C 43 %
202 17-06-19/12:28:00 0 mm/h 25 C 45 %
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This website has been produced with the financial assistance of the European Union.

The content of the website is the sole responsibility of Faculty of Sciences and can under no circumstances be regarded as reflecting the position of the European Union and/ or the Managing Authority.