Spatial and Temporal Trend Analysis of Meteorological, Hydrological and Hydrogeological Data (by the Example of the San River Basin)

Remote Sensing & GIS for Environmental Monitoring & Exploration

Authors

First and Last Name Academic degree E-mail Affiliation
Lidiia Davybida Ph.D. lidiia.davybida [at] nung.edu.ua Ivano-Frankivsk National Technical University of Oil and Gas
Ivano-Frankivsk, Ukraine
Magdalena Worsa-Kozak Ph.D. magdalena.worsa-kozak [at] pwr.edu.pl Wroclaw University of Science and Technology
Wroclaw, Poland
Justyna Górniak-Zimroz Sc.D. justyna.gorniak-zimroz [at] pwr.edu.pl Wroclaw University of Science and Technology
Wroclaw, Poland
Anna Michalak No anna.michalak [at] pwr.edu.pl Wroclaw University of Science and Technology
Wroclaw, Poland

I and my co-authors (if any) authorize the use of the Paper in accordance with the Creative Commons CC BY license

First published on this website: 16.08.2021 - 10:43
Abstract 

This research investigates the spatial and temporal patterns of trends on monthly scale time series data (1950–2020) at meteorological, hydrological and hydrogeological monitoring posts located within the San river basin, which is a transboundary territory of Poland and Ukraine. The temporal trends were analyzed using the Mann-Kendall (MK) test at 5% significance level. The spatial variation of the magnitude of trends in temperature, precipitation, surface water level and discharge, groundwater level series was interpolated using the Inverse Distance Weighted (IDW) method in ArcGIS environment. The created maps of spatial variability of trends may help the water resource managers to figure out the risk and vulnerability related to climate change and improve the environmental monitoring network in the study region.

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