Geostatistical evaluation of the design of the precipitation stable isotope monitoring network for Slovenia and Hungary

Environment International

Gábor Szatmári¹  György Czuppon²  Dániel Erdélyi³  Tjaša Kanduč⁴  Sonja Lojen⁵  Balázs Kohán⁵  István Gábor Hatvani⁶  Polona Vreča⁶  Zoltán Kern⁷ 

[1] Corresponding author at: Institute for Geological and Geochemical Research, Research Centre for Astronomy and Earth Sciences, Budaörsi út 45, H-1112 Budapest, Hungary.;Department of Geology, Eötvös Loránd University, Pázmány Péter stny. 1/c, H-1117 Budapest, Hungary;Department of Soil Science and Environmental Informatics, Georgikon Faculty, Szent István University, H-8360 Keszthely, Hungary;Centre for Environmental Science, Eötvös Loránd University, Pázmány Péter stny. 1/a, H-1117 Budapest, Hungary;Department of Environmental Sciences, Jožef Stefan Institute, Jamova cesta 39, 1000 Ljubljana, Slovenia;Institute for Geological and Geochemical Research, Research Centre for Astronomy and Earth Sciences, Budaörsi út 45, H-1112 Budapest, Hungary;Institute for Soil Sciences and Agricultural Chemistry, Centre for Agricultural Research, Herman Ottó út 15, H-1022 Budapest, Hungary;

关键词: Precipitation;    Stable oxygen isotopes;    Spatial simulated annealing;    Kriging variance;    Network design;    Hungary;   

DOI  :  

来源: DOAJ

【 摘 要 】

A detailed knowledge of the stable isotope signature of precipitation is the basis of investigations in a variety of scientific fields and applications. To obtain robust and reliable results, the representativity of the currently operating (at least, as of 2018) precipitation stable isotope monitoring stations across Slovenia (n = 8) and Hungary (n = 9) was evaluated on the basis of amount-weighted annual averages with the aim of revealing any redundantly (i.e. over-) represented or un(der)represented areas. In the case of the latter, optimal locations for additional sites were suggested in Slovenia and Hungary. The networks of both countries are design-based systems that need to be fine-tuned for long-term optimized operation. The evaluation of the monitoring network was performed taking into consideration the stations operating in Slovenia and Hungary, as well as closely situated ones operating in neighboring countries. The evaluation was carried out in nine different combinations, using spatial simulated annealing, with regression kriging variance as a quality measure. The results showed that (i) there are over- and un(der)represented areas in the network, an issue requiring remedial action, (ii) the mutual information exchange of the precipitation stable isotope monitoring networks of Slovenia and Hungary increases the precision of precipitation δ18O estimation by ~0.3‰ in a 15–30 km wide zone near the borders, and (iii) by an even greater degree in the neighboring countries’ stations. The current research may be termed pioneering in the matter of the detailed geostatistical assessment of spatial representativity of a precipitation stable isotope monitoring network, and as such, can serve as an example for future studies aiming for the spatial optimization of other regional precipitation stable isotope monitoring networks.

【 授权许可】

Unknown