Analysis of changes in hydrological cycle of a pristine mountain catchment. 2. Isotopic data, trend and attribution analyses
- Title:
- Analysis of changes in hydrological cycle of a pristine mountain catchment. 2. Isotopic data, trend and attribution analyses
- Creator:
- Holko, Ladislav , Danko, Michal , and Sleziak, Patrik
- Identifier:
- https://cdk.lib.cas.cz/client/handle/uuid:54c437b8-b147-4979-a766-c1ef40bac956
uuid:54c437b8-b147-4979-a766-c1ef40bac956
doi:10.2478/johh-2020-0011 - Subject:
- oxygen isotope in precipitation and runoff, time series, and trends and break points
- Type:
- model:article and TEXT
- Format:
- počítač and online zdroj
- Description:
- δ18O in precipitation at station Liptovský Mikuláš (about 8.5 km south from the outlet of the Jalovecký Creek catchment) remains constantly higher since 2014 that might be related to greater evaporation in the region of origin of the air masses bringing precipitation to the studied part of central Europe. Increased δ18O values are reflected also in the Jalovecký Creek catchment runoff. Seasonality of δ18O in the Jalovecký Creek became less pronounced since 2014. The most significant trends found in annual hydrological data series from the catchment in the study period 1989–2018 have the correlation coefficients 0.4 to 0.7. These trends are found in the number of flow reversals (change from increasing to decreasing discharge and vice versa), June low flow, number of simple runoff events in summer months (June to September) and the flashiness index. The attribution analysis suggests that drivers responsible for the changes in these data series include the number of periods with precipitation six and more days long, total precipitation amount in February to June, number of days with precipitation in June to September and total precipitation in May on days with daily totals 10 mm and more, respectively. The coefficients of determination show that linear regressions between the drivers and supposedly changed data series explain only about 31% to 36% of the variability. Most of the change points detected in the time series by the Wild Binary Segmentation method occur in the second and third decades of the study period. Both hydrometric and isotopic data indicate that hydrological cycle in the catchment after 2014 became different than before.
- Language:
- Slovak
- Rights:
- http://creativecommons.org/publicdomain/mark/1.0/
policy:public - Coverage:
- 192-199
- Source:
- Journal of hydrology and hydromechanics | 2020 Volume:68 | Number:2
- Harvested from:
- CDK
- Metadata only:
- false
The item or associated files might be "in copyright"; review the provided rights metadata:
- http://creativecommons.org/publicdomain/mark/1.0/
- policy:public