Flood event in autumn 2019 in the Unica catchment Slovenia

Flood event in autumn 2019 in the Unica catchment Slovenia (6 monitoring stations have been monitored for chemical and microbiological tracers)

Ćuk Đurović, M., Petrič, M., Jemcov, I., Mulec, J., Grudnik, Z. M., Mayaud, C., ... & Ravbar, N. Multivariate Statistical Analysis of Hydrochemical and Microbiological Natural Tracers as a tool for Understanding Karst Hydrodynamics. Water Resources Research, e2021WR031831. https://doi.org/10.1029/2021WR031831

Data type:precipitation, discharge, ke-microbio analyses

Monitoring period: 2019_11_01 - 2020_01_30

Data resolution: sporadical;

Equipment used: Onset HOBO, type U20, SonTek's FlowTracker2, RiverSurveyor M9

Aknowledgements: Characterisation of karst aquifers on regional and local scales: the recharge area of the Malni water source, No. L7-2630, Infiltration processes in forested karst aquifers under changing environment, J2-1743, Ecohydrological study of spatio-temporal dynamics in karst critical zones under different climate conditions, No. NK-0002, and the programme Karst Research, No. P6-0119, all financially supported by the Slovenian Research Agency (ARRS), bilateral cooperation BI-RS/18-19-027 supported by ARRS and Ministry of Education, Science and Technological Development of the Republic of Serbia (2018–2019/Record no. of bilateral project: 28)

Date (Creation): 2022-07-15

Point of contact

Organisation name	Individual name	Electronic mail address	Role
IZRK	Nataša Ravbar	natasa.ravbar@zrc-sazu.si	Author

Resource format

Name	Version
Excel

Keywords

Karst database
Hydrochemical Natural Tracers
Karst hydrodynamics
Hydrochemical Natural Tracers
Multivariate chemograph
variable catchment boundary
Microbiological Natural Tracers
Multivariate Statistical Analysis

Description: Postojna

Digital transfer options

OnLine resource

Protocol	Linkage	Name
WWW:LINK-1.0-http--link	https://doi.org/10.1029/2021WR031831	Article
WWW:DOWNLOAD-1.0-http--download	https://cloud.izrk.zrc-sazu.si/index.php/s/Aymod6SN8KRaHQZ	Datasets