Hauptseite > Publikationsdatenbank > Impact of Climate Change on Irrigation Need and Groundwater Resources in Pinios Basin > print |
001 | 857641 | ||
005 | 20210129235619.0 | ||
024 | 7 | _ | |a 10.3390/proceedings2110659 |2 doi |
024 | 7 | _ | |a 2128/20112 |2 Handle |
037 | _ | _ | |a FZJ-2018-06619 |
082 | _ | _ | |a 600 |
100 | 1 | _ | |a Panagopoulos, Andreas |0 P:(DE-HGF)0 |b 0 |
245 | _ | _ | |a Impact of Climate Change on Irrigation Need and Groundwater Resources in Pinios Basin |
260 | _ | _ | |a Basel$nMDPI AG |c 2018 |
336 | 7 | _ | |a article |2 DRIVER |
336 | 7 | _ | |a Output Types/Journal article |2 DataCite |
336 | 7 | _ | |a Journal Article |b journal |m journal |0 PUB:(DE-HGF)16 |s 1542789157_6274 |2 PUB:(DE-HGF) |
336 | 7 | _ | |a ARTICLE |2 BibTeX |
336 | 7 | _ | |a JOURNAL_ARTICLE |2 ORCID |
336 | 7 | _ | |a Journal Article |0 0 |2 EndNote |
520 | _ | _ | |a Initially an area-differentiated modelling of groundwater recharge in River Pinios Basin (Greece) was carried out for the reference period 1971–2000 based on the mGROWA model. Subsequently, the model was applied to assess the impacts of climate change on groundwater recharge and irrigation need. For this purpose one bias-corrected RCM–GCM combination from the EURO-CORDEX ensemble of climate models for two emission scenarios (RCP 4.5 and RCP 8.5) have been used as input data for the projected periods 2011–2040 and 2040–2070 and 2700–2100. Results of the mGROWA model runs for the projected periods and the two emission scenarios indicate a different evolution of groundwater recharge and a general increase in irrigation need, however with different degrees of intensity. |
536 | _ | _ | |a 255 - Terrestrial Systems: From Observation to Prediction (POF3-255) |0 G:(DE-HGF)POF3-255 |c POF3-255 |f POF III |x 0 |
588 | _ | _ | |a Dataset connected to CrossRef |
700 | 1 | _ | |a Herrmann, Frank |0 P:(DE-Juel1)141774 |b 1 |
700 | 1 | _ | |a Pisinaras, Vassilios |0 P:(DE-HGF)0 |b 2 |
700 | 1 | _ | |a Wendland, Frank |0 P:(DE-Juel1)129554 |b 3 |e Corresponding author |
773 | _ | _ | |a 10.3390/proceedings2110659 |g Vol. 2, no. 11, p. 659 - |0 PERI:(DE-600)2904077-2 |n 11 |p 659 - |t Proceedings |v 2 |y 2018 |x 2504-3900 |
856 | 4 | _ | |y OpenAccess |u https://juser.fz-juelich.de/record/857641/files/proceedings-02-00659-v2.pdf |
856 | 4 | _ | |y OpenAccess |x pdfa |u https://juser.fz-juelich.de/record/857641/files/proceedings-02-00659-v2.pdf?subformat=pdfa |
909 | C | O | |o oai:juser.fz-juelich.de:857641 |p openaire |p open_access |p VDB |p driver |p dnbdelivery |
910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 1 |6 P:(DE-Juel1)141774 |
910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 3 |6 P:(DE-Juel1)129554 |
913 | 1 | _ | |a DE-HGF |l Terrestrische Umwelt |1 G:(DE-HGF)POF3-250 |0 G:(DE-HGF)POF3-255 |2 G:(DE-HGF)POF3-200 |v Terrestrial Systems: From Observation to Prediction |x 0 |4 G:(DE-HGF)POF |3 G:(DE-HGF)POF3 |b Erde und Umwelt |
914 | 1 | _ | |y 2018 |
915 | _ | _ | |a OpenAccess |0 StatID:(DE-HGF)0510 |2 StatID |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0501 |2 StatID |b DOAJ Seal |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0500 |2 StatID |b DOAJ |
915 | _ | _ | |a Creative Commons Attribution CC BY 4.0 |0 LIC:(DE-HGF)CCBY4 |2 HGFVOC |
915 | _ | _ | |a Peer Review |0 StatID:(DE-HGF)0030 |2 StatID |b DOAJ : Blind peer review |
920 | 1 | _ | |0 I:(DE-Juel1)IBG-3-20101118 |k IBG-3 |l Agrosphäre |x 0 |
980 | _ | _ | |a journal |
980 | _ | _ | |a VDB |
980 | _ | _ | |a UNRESTRICTED |
980 | _ | _ | |a I:(DE-Juel1)IBG-3-20101118 |
980 | 1 | _ | |a FullTexts |
Library | Collection | CLSMajor | CLSMinor | Language | Author |
---|