Water allocation under deficit irrigation using MIKE BASIN model for the mitigation of climate change
Abstract Irrigated agriculture is likely to be affected by the changes in temperature and precipitation patterns due to climate change. Particularly in Greece, on account of higher temperatures and reduced precipitation, the irrigation water management is essential to the viability of agriculture in...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Doulgeris, Charalampos [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2015 |
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| Schlagwörter: |
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| Anmerkung: |
© Springer-Verlag Berlin Heidelberg 2015 |
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| Übergeordnetes Werk: |
Enthalten in: Irrigation science - Berlin : Springer, 1978, 33(2015), 6 vom: 13. Okt., Seite 469-482 |
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| Übergeordnetes Werk: |
volume:33 ; year:2015 ; number:6 ; day:13 ; month:10 ; pages:469-482 |
| Links: |
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| DOI / URN: |
10.1007/s00271-015-0482-4 |
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SPR003542319 |
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| 520 | |a Abstract Irrigated agriculture is likely to be affected by the changes in temperature and precipitation patterns due to climate change. Particularly in Greece, on account of higher temperatures and reduced precipitation, the irrigation water management is essential to the viability of agriculture in areas already facing water scarcity. In this paper, two deficit distribution methods, the equal shortage (ES) and the yield stress (YS), are evaluated for the mitigation of climate change in the irrigation networks of Nestos River, Greece. The two methods were applied in the irrigation module of the MIKE BASIN model to analyze the effect of water deficit on crop yield and net profit for the periods 1980–2000, 2030–2050 and 2080–2100. In comparison with the ES method, the YS method, in which the water is by priority distributed to the crop that is more sensitive to water shortage, increases the yield in most of the crops, estimates higher net profit to farmers and secures more water for the downstream ecosystems. | ||
| 650 | 4 | |a Climate Change Scenario |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Crop Water Requirement |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Irrigation Demand |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Irrigation Network |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Stochastic Weather Generator |7 (dpeaa)DE-He213 | |
| 700 | 1 | |a Georgiou, Pantazis |4 aut | |
| 700 | 1 | |a Papadimos, Dimitris |4 aut | |
| 700 | 1 | |a Papamichail, Dimitris |4 aut | |
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10.1007/s00271-015-0482-4 doi (DE-627)SPR003542319 (SPR)s00271-015-0482-4-e DE-627 ger DE-627 rakwb eng Doulgeris, Charalampos verfasserin aut Water allocation under deficit irrigation using MIKE BASIN model for the mitigation of climate change 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag Berlin Heidelberg 2015 Abstract Irrigated agriculture is likely to be affected by the changes in temperature and precipitation patterns due to climate change. Particularly in Greece, on account of higher temperatures and reduced precipitation, the irrigation water management is essential to the viability of agriculture in areas already facing water scarcity. In this paper, two deficit distribution methods, the equal shortage (ES) and the yield stress (YS), are evaluated for the mitigation of climate change in the irrigation networks of Nestos River, Greece. The two methods were applied in the irrigation module of the MIKE BASIN model to analyze the effect of water deficit on crop yield and net profit for the periods 1980–2000, 2030–2050 and 2080–2100. In comparison with the ES method, the YS method, in which the water is by priority distributed to the crop that is more sensitive to water shortage, increases the yield in most of the crops, estimates higher net profit to farmers and secures more water for the downstream ecosystems. Climate Change Scenario (dpeaa)DE-He213 Crop Water Requirement (dpeaa)DE-He213 Irrigation Demand (dpeaa)DE-He213 Irrigation Network (dpeaa)DE-He213 Stochastic Weather Generator (dpeaa)DE-He213 Georgiou, Pantazis aut Papadimos, Dimitris aut Papamichail, Dimitris aut Enthalten in Irrigation science Berlin : Springer, 1978 33(2015), 6 vom: 13. Okt., Seite 469-482 (DE-627)271175362 (DE-600)1478936-X 1432-1319 nnns volume:33 year:2015 number:6 day:13 month:10 pages:469-482 https://dx.doi.org/10.1007/s00271-015-0482-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 33 2015 6 13 10 469-482 |
| spelling |
10.1007/s00271-015-0482-4 doi (DE-627)SPR003542319 (SPR)s00271-015-0482-4-e DE-627 ger DE-627 rakwb eng Doulgeris, Charalampos verfasserin aut Water allocation under deficit irrigation using MIKE BASIN model for the mitigation of climate change 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag Berlin Heidelberg 2015 Abstract Irrigated agriculture is likely to be affected by the changes in temperature and precipitation patterns due to climate change. Particularly in Greece, on account of higher temperatures and reduced precipitation, the irrigation water management is essential to the viability of agriculture in areas already facing water scarcity. In this paper, two deficit distribution methods, the equal shortage (ES) and the yield stress (YS), are evaluated for the mitigation of climate change in the irrigation networks of Nestos River, Greece. The two methods were applied in the irrigation module of the MIKE BASIN model to analyze the effect of water deficit on crop yield and net profit for the periods 1980–2000, 2030–2050 and 2080–2100. In comparison with the ES method, the YS method, in which the water is by priority distributed to the crop that is more sensitive to water shortage, increases the yield in most of the crops, estimates higher net profit to farmers and secures more water for the downstream ecosystems. Climate Change Scenario (dpeaa)DE-He213 Crop Water Requirement (dpeaa)DE-He213 Irrigation Demand (dpeaa)DE-He213 Irrigation Network (dpeaa)DE-He213 Stochastic Weather Generator (dpeaa)DE-He213 Georgiou, Pantazis aut Papadimos, Dimitris aut Papamichail, Dimitris aut Enthalten in Irrigation science Berlin : Springer, 1978 33(2015), 6 vom: 13. Okt., Seite 469-482 (DE-627)271175362 (DE-600)1478936-X 1432-1319 nnns volume:33 year:2015 number:6 day:13 month:10 pages:469-482 https://dx.doi.org/10.1007/s00271-015-0482-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 33 2015 6 13 10 469-482 |
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10.1007/s00271-015-0482-4 doi (DE-627)SPR003542319 (SPR)s00271-015-0482-4-e DE-627 ger DE-627 rakwb eng Doulgeris, Charalampos verfasserin aut Water allocation under deficit irrigation using MIKE BASIN model for the mitigation of climate change 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag Berlin Heidelberg 2015 Abstract Irrigated agriculture is likely to be affected by the changes in temperature and precipitation patterns due to climate change. Particularly in Greece, on account of higher temperatures and reduced precipitation, the irrigation water management is essential to the viability of agriculture in areas already facing water scarcity. In this paper, two deficit distribution methods, the equal shortage (ES) and the yield stress (YS), are evaluated for the mitigation of climate change in the irrigation networks of Nestos River, Greece. The two methods were applied in the irrigation module of the MIKE BASIN model to analyze the effect of water deficit on crop yield and net profit for the periods 1980–2000, 2030–2050 and 2080–2100. In comparison with the ES method, the YS method, in which the water is by priority distributed to the crop that is more sensitive to water shortage, increases the yield in most of the crops, estimates higher net profit to farmers and secures more water for the downstream ecosystems. Climate Change Scenario (dpeaa)DE-He213 Crop Water Requirement (dpeaa)DE-He213 Irrigation Demand (dpeaa)DE-He213 Irrigation Network (dpeaa)DE-He213 Stochastic Weather Generator (dpeaa)DE-He213 Georgiou, Pantazis aut Papadimos, Dimitris aut Papamichail, Dimitris aut Enthalten in Irrigation science Berlin : Springer, 1978 33(2015), 6 vom: 13. Okt., Seite 469-482 (DE-627)271175362 (DE-600)1478936-X 1432-1319 nnns volume:33 year:2015 number:6 day:13 month:10 pages:469-482 https://dx.doi.org/10.1007/s00271-015-0482-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 33 2015 6 13 10 469-482 |
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10.1007/s00271-015-0482-4 doi (DE-627)SPR003542319 (SPR)s00271-015-0482-4-e DE-627 ger DE-627 rakwb eng Doulgeris, Charalampos verfasserin aut Water allocation under deficit irrigation using MIKE BASIN model for the mitigation of climate change 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag Berlin Heidelberg 2015 Abstract Irrigated agriculture is likely to be affected by the changes in temperature and precipitation patterns due to climate change. Particularly in Greece, on account of higher temperatures and reduced precipitation, the irrigation water management is essential to the viability of agriculture in areas already facing water scarcity. In this paper, two deficit distribution methods, the equal shortage (ES) and the yield stress (YS), are evaluated for the mitigation of climate change in the irrigation networks of Nestos River, Greece. The two methods were applied in the irrigation module of the MIKE BASIN model to analyze the effect of water deficit on crop yield and net profit for the periods 1980–2000, 2030–2050 and 2080–2100. In comparison with the ES method, the YS method, in which the water is by priority distributed to the crop that is more sensitive to water shortage, increases the yield in most of the crops, estimates higher net profit to farmers and secures more water for the downstream ecosystems. Climate Change Scenario (dpeaa)DE-He213 Crop Water Requirement (dpeaa)DE-He213 Irrigation Demand (dpeaa)DE-He213 Irrigation Network (dpeaa)DE-He213 Stochastic Weather Generator (dpeaa)DE-He213 Georgiou, Pantazis aut Papadimos, Dimitris aut Papamichail, Dimitris aut Enthalten in Irrigation science Berlin : Springer, 1978 33(2015), 6 vom: 13. Okt., Seite 469-482 (DE-627)271175362 (DE-600)1478936-X 1432-1319 nnns volume:33 year:2015 number:6 day:13 month:10 pages:469-482 https://dx.doi.org/10.1007/s00271-015-0482-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 33 2015 6 13 10 469-482 |
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10.1007/s00271-015-0482-4 doi (DE-627)SPR003542319 (SPR)s00271-015-0482-4-e DE-627 ger DE-627 rakwb eng Doulgeris, Charalampos verfasserin aut Water allocation under deficit irrigation using MIKE BASIN model for the mitigation of climate change 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag Berlin Heidelberg 2015 Abstract Irrigated agriculture is likely to be affected by the changes in temperature and precipitation patterns due to climate change. Particularly in Greece, on account of higher temperatures and reduced precipitation, the irrigation water management is essential to the viability of agriculture in areas already facing water scarcity. In this paper, two deficit distribution methods, the equal shortage (ES) and the yield stress (YS), are evaluated for the mitigation of climate change in the irrigation networks of Nestos River, Greece. The two methods were applied in the irrigation module of the MIKE BASIN model to analyze the effect of water deficit on crop yield and net profit for the periods 1980–2000, 2030–2050 and 2080–2100. In comparison with the ES method, the YS method, in which the water is by priority distributed to the crop that is more sensitive to water shortage, increases the yield in most of the crops, estimates higher net profit to farmers and secures more water for the downstream ecosystems. Climate Change Scenario (dpeaa)DE-He213 Crop Water Requirement (dpeaa)DE-He213 Irrigation Demand (dpeaa)DE-He213 Irrigation Network (dpeaa)DE-He213 Stochastic Weather Generator (dpeaa)DE-He213 Georgiou, Pantazis aut Papadimos, Dimitris aut Papamichail, Dimitris aut Enthalten in Irrigation science Berlin : Springer, 1978 33(2015), 6 vom: 13. Okt., Seite 469-482 (DE-627)271175362 (DE-600)1478936-X 1432-1319 nnns volume:33 year:2015 number:6 day:13 month:10 pages:469-482 https://dx.doi.org/10.1007/s00271-015-0482-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 33 2015 6 13 10 469-482 |
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Doulgeris, Charalampos @@aut@@ Georgiou, Pantazis @@aut@@ Papadimos, Dimitris @@aut@@ Papamichail, Dimitris @@aut@@ |
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Doulgeris, Charalampos |
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Water allocation under deficit irrigation using MIKE BASIN model for the mitigation of climate change Climate Change Scenario (dpeaa)DE-He213 Crop Water Requirement (dpeaa)DE-He213 Irrigation Demand (dpeaa)DE-He213 Irrigation Network (dpeaa)DE-He213 Stochastic Weather Generator (dpeaa)DE-He213 |
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water allocation under deficit irrigation using mike basin model for the mitigation of climate change |
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Water allocation under deficit irrigation using MIKE BASIN model for the mitigation of climate change |
| abstract |
Abstract Irrigated agriculture is likely to be affected by the changes in temperature and precipitation patterns due to climate change. Particularly in Greece, on account of higher temperatures and reduced precipitation, the irrigation water management is essential to the viability of agriculture in areas already facing water scarcity. In this paper, two deficit distribution methods, the equal shortage (ES) and the yield stress (YS), are evaluated for the mitigation of climate change in the irrigation networks of Nestos River, Greece. The two methods were applied in the irrigation module of the MIKE BASIN model to analyze the effect of water deficit on crop yield and net profit for the periods 1980–2000, 2030–2050 and 2080–2100. In comparison with the ES method, the YS method, in which the water is by priority distributed to the crop that is more sensitive to water shortage, increases the yield in most of the crops, estimates higher net profit to farmers and secures more water for the downstream ecosystems. © Springer-Verlag Berlin Heidelberg 2015 |
| abstractGer |
Abstract Irrigated agriculture is likely to be affected by the changes in temperature and precipitation patterns due to climate change. Particularly in Greece, on account of higher temperatures and reduced precipitation, the irrigation water management is essential to the viability of agriculture in areas already facing water scarcity. In this paper, two deficit distribution methods, the equal shortage (ES) and the yield stress (YS), are evaluated for the mitigation of climate change in the irrigation networks of Nestos River, Greece. The two methods were applied in the irrigation module of the MIKE BASIN model to analyze the effect of water deficit on crop yield and net profit for the periods 1980–2000, 2030–2050 and 2080–2100. In comparison with the ES method, the YS method, in which the water is by priority distributed to the crop that is more sensitive to water shortage, increases the yield in most of the crops, estimates higher net profit to farmers and secures more water for the downstream ecosystems. © Springer-Verlag Berlin Heidelberg 2015 |
| abstract_unstemmed |
Abstract Irrigated agriculture is likely to be affected by the changes in temperature and precipitation patterns due to climate change. Particularly in Greece, on account of higher temperatures and reduced precipitation, the irrigation water management is essential to the viability of agriculture in areas already facing water scarcity. In this paper, two deficit distribution methods, the equal shortage (ES) and the yield stress (YS), are evaluated for the mitigation of climate change in the irrigation networks of Nestos River, Greece. The two methods were applied in the irrigation module of the MIKE BASIN model to analyze the effect of water deficit on crop yield and net profit for the periods 1980–2000, 2030–2050 and 2080–2100. In comparison with the ES method, the YS method, in which the water is by priority distributed to the crop that is more sensitive to water shortage, increases the yield in most of the crops, estimates higher net profit to farmers and secures more water for the downstream ecosystems. © Springer-Verlag Berlin Heidelberg 2015 |
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Water allocation under deficit irrigation using MIKE BASIN model for the mitigation of climate change |
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https://dx.doi.org/10.1007/s00271-015-0482-4 |
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Georgiou, Pantazis Papadimos, Dimitris Papamichail, Dimitris |
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|
| score |
7.401846 |