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Team

LEAD BENEFICIARY

University of Novi Sad, Faculty of Sciences (UNSPMF)

Website: www.pmf.uns.ac.rs and www.clihyd.com

Team:

dr Stevan Savić, project manager

dr Daniela Arsenović, assistant manager

MSc Dragan Milošević, researcher

MSc Ivan Šećerov, researcher

dr Uglješa Stankov, researcher

dr Vladimir Marković, researcher

dr Milana Pantelić, researcher

dr Dragan Dolinaj, researcher

Nataša Bulatović, financial manager

 

BENEFICIARIES

University of Szeged, Department of Climatology and Landscape Ecology (SZTE)

Website: www.u-szeged.hu and www2.sci.u-szeged.hu/eghajlattan/

Team:

dr János Bajusz, project manager

dr Tamás Gál, researcher

dr András Zéno Gyöngyösi, researcher

dr Elemér Pál-Molnár, researcher

Gergely Molnár, researcher

Péter Jenei, IT expert

dr Agnes Gylyás, researcher

Akos Csete, researcher

Gábor Knerczer, project assistant

Erika Pálinkó, financial manager

 

University of Novi Sad, Faculty of Technical Sciences (UNSFTN)

Website: www.ftn.uns.ac.rs and www.arhns.uns.ac.rs/cdd

Team:

dr Ivana Bajšanski, project manager

dr Vesna Stojaković, researcher

dr Bojan Tepavčević, researcher

Dejan Mitov, researcher

 

Municipality of Szeged (MOS)

Website: www.szegedvaros.hu

Team:

Bianka Hévizi, project manager

Péter Pásztor, financial manager

Gyula Novák, expert

 

Municipality of Novi Sad, PUC Water and Sewage Utility Novi Sad (VIKNS)

Website: www.vikns.rs

Team:

dr Sanda Nastić, project manager

Srđan Grujić, researcher

Dragan Jokanović, researcher

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

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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 18-07-19/17:45:02 0 mm/min 31.94 C 53.739 mm
102 18-07-19/17:45:01 0 mm/min 30.62 C 93.932 mm
103 16-07-19/09:45:04 0.003 mm/min 30.31 C 118.379 mm
104 18-07-19/17:48:01 0 mm/min 31.94 C 28.593 mm
105 18-07-19/17:48:00 0 mm/min 27.62 C 0 mm
106 18-07-19/17:48:00 0 mm/min 29.31 C 105.37 mm
107 18-07-19/17:00:04 0 mm/min 28.75 C 2.813 mm
108 18-07-19/17:03:02 0.003 mm/min 30 C 2.781 mm
109 18-07-19/17:00:01 0 mm/min 37.06 C 208.828 mm
110 18-07-19/17:51:02 0 mm/min 28.19 C 155.058 mm
111 18-07-19/17:51:00 0 mm/min 28.06 C 0 mm
112 18-07-19/17:51:03 0 mm/min 31.19 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 18-07-19/17:50:02 0 mm/h 27.8 C 56 %
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.