Analysing the sensitivity of Hungarian landscapes based on climate change induced shallow groundwater fluctuation
One of the undoubtedly recognizable consequences of the ongoing climate change in Hungary is the permanent change of groundwater depth, and consequently the sustainably reachable local water resources. These processes trigger remarkable changes in soil and vegetation. Thus, in research of sensitivit...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Research Centre for Astronomy and Earth Sciences, Hungarian Academy of Sciences
2019-12-01
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| Series: | Hungarian Geographical Bulletin |
| Subjects: | |
| Online Access: | https://ojs3.mtak.hu/index.php/hungeobull/article/view/1496 |
| _version_ | 1818519670946267136 |
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| author | Zoltán Zsolt Fehér János Rakonczai |
| author_facet | Zoltán Zsolt Fehér János Rakonczai |
| author_sort | Zoltán Zsolt Fehér |
| collection | DOAJ |
| description | One of the undoubtedly recognizable consequences of the ongoing climate change in Hungary is the permanent change of groundwater depth, and consequently the sustainably reachable local water resources. These processes trigger remarkable changes in soil and vegetation. Thus, in research of sensitivity of any specific landscape to the varying climatic factors, monitoring and continuous evaluation of the water resources is inevitable. The presented spatiotemporal geostatistical cosimulation framework is capable to identify rearrangements of the subsurface water resources through water resource observations. Application of the Markov 2-type coregionalization model is based on the assumption, that presumably only slight changes have to be handled between two consecutive time instants, hence current parameter set can be estimated based on the spatial structures of prior and current dataset and previously identified parameters. Moreover, the algorithm is capable to take into consideration the significance of the geomorphologic settings on the subsurface water flow. Trends in water resource changes are appropriate indicators of certain areas climate sensitivity. The method is also suitable in determination of the main cause of the extraordinary groundwater discharges, like the one, observed from the beginning of the 1980’s in the Danube–Tisza Interfluve in Hungary. |
| first_indexed | 2024-12-11T01:27:15Z |
| format | Article |
| id | doaj.art-1de31048bf27484b961cdd2b5044ad74 |
| institution | Directory Open Access Journal |
| issn | 2064-5031 2064-5147 |
| language | English |
| last_indexed | 2024-12-11T01:27:15Z |
| publishDate | 2019-12-01 |
| publisher | Research Centre for Astronomy and Earth Sciences, Hungarian Academy of Sciences |
| record_format | Article |
| series | Hungarian Geographical Bulletin |
| spelling | doaj.art-1de31048bf27484b961cdd2b5044ad742022-12-22T01:25:28ZengResearch Centre for Astronomy and Earth Sciences, Hungarian Academy of SciencesHungarian Geographical Bulletin2064-50312064-51472019-12-0168435537210.15201/hungeobull.68.4.31496Analysing the sensitivity of Hungarian landscapes based on climate change induced shallow groundwater fluctuationZoltán Zsolt Fehér0János Rakonczai1Department of Physical Geography and Geoinformatics, University of Szeged, Szeged, HungaryDepartment of Physical Geography and Geoinformatics, University of Szeged, Szeged, HungaryOne of the undoubtedly recognizable consequences of the ongoing climate change in Hungary is the permanent change of groundwater depth, and consequently the sustainably reachable local water resources. These processes trigger remarkable changes in soil and vegetation. Thus, in research of sensitivity of any specific landscape to the varying climatic factors, monitoring and continuous evaluation of the water resources is inevitable. The presented spatiotemporal geostatistical cosimulation framework is capable to identify rearrangements of the subsurface water resources through water resource observations. Application of the Markov 2-type coregionalization model is based on the assumption, that presumably only slight changes have to be handled between two consecutive time instants, hence current parameter set can be estimated based on the spatial structures of prior and current dataset and previously identified parameters. Moreover, the algorithm is capable to take into consideration the significance of the geomorphologic settings on the subsurface water flow. Trends in water resource changes are appropriate indicators of certain areas climate sensitivity. The method is also suitable in determination of the main cause of the extraordinary groundwater discharges, like the one, observed from the beginning of the 1980’s in the Danube–Tisza Interfluve in Hungary.https://ojs3.mtak.hu/index.php/hungeobull/article/view/1496climate changeshallow groundwaterspatiotemporal sequential gaussian cosimulationmarkov 2-type coregionalization |
| spellingShingle | Zoltán Zsolt Fehér János Rakonczai Analysing the sensitivity of Hungarian landscapes based on climate change induced shallow groundwater fluctuation Hungarian Geographical Bulletin climate change shallow groundwater spatiotemporal sequential gaussian cosimulation markov 2-type coregionalization |
| title | Analysing the sensitivity of Hungarian landscapes based on climate change induced shallow groundwater fluctuation |
| title_full | Analysing the sensitivity of Hungarian landscapes based on climate change induced shallow groundwater fluctuation |
| title_fullStr | Analysing the sensitivity of Hungarian landscapes based on climate change induced shallow groundwater fluctuation |
| title_full_unstemmed | Analysing the sensitivity of Hungarian landscapes based on climate change induced shallow groundwater fluctuation |
| title_short | Analysing the sensitivity of Hungarian landscapes based on climate change induced shallow groundwater fluctuation |
| title_sort | analysing the sensitivity of hungarian landscapes based on climate change induced shallow groundwater fluctuation |
| topic | climate change shallow groundwater spatiotemporal sequential gaussian cosimulation markov 2-type coregionalization |
| url | https://ojs3.mtak.hu/index.php/hungeobull/article/view/1496 |
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