Projecting the impacts of climate change on the wind erosion potential using an ensemble of GCMs in Hormozgan Coastal plains, Iran
Abstract Wind erosion is one of the most critical problems in arid and semi-arid regions. The wind transports only dry soil, and no soil with a wet surface can be moved. The study aimed to investigate the changes in wind erosion potential in the coastal plains of Hormozgan province, Iran. Data from...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Khodraz, Zohre [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2023 |
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| Anmerkung: |
© The Author(s), under exclusive licence to Springer Nature Switzerland AG 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
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| Übergeordnetes Werk: |
Enthalten in: Environmental monitoring and assessment - Dordrecht [u.a.] : Springer Science + Business Media B.V, 1981, 195(2023), 12 vom: 10. Nov. |
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| Übergeordnetes Werk: |
volume:195 ; year:2023 ; number:12 ; day:10 ; month:11 |
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| DOI / URN: |
10.1007/s10661-023-12072-1 |
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SPR053678052 |
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| 520 | |a Abstract Wind erosion is one of the most critical problems in arid and semi-arid regions. The wind transports only dry soil, and no soil with a wet surface can be moved. The study aimed to investigate the changes in wind erosion potential in the coastal plains of Hormozgan province, Iran. Data from four synoptic stations from 1988 to 2017, as well as outputs from four climate models, namely HadGEM-2-CC, CSIRO-MK3- 6-0, ACCESS1-3 and CNRM-CM5, based on two Representative Concentration Pathways, RCP 4.5 and RCP 8.5, were used for the analysis. The outputs of climate models were ensembled and downscaled using the Change Factor statistical downscaling method. The downscaled data showed good accuracy in representing the large-scale GCM data. Furthermore, the “Potential of Wind Erosion Occurrence” was calculated for monthly and annual time scales using the Mann-Kendall nonparametric trend test. The results indicated that there were no significant trends in wind erosion occurrence during the base period (i.e., 1988 to 2017). However, it was projected that the “potential for wind erosion occurrence” and the “percentage of windy days associated with drought” would increase in the near future (i.e., 2031 to 2060) under both Representative Concentration Pathways (RCP 4.5 and RCP 8.5). Interestingly, both scenarios showed a decreasing trend in wind erosion occurrence in the far future (i.e., 2071 to 2100). This suggests that changes in wind patterns play a significant role in shaping wind erosion potential, while daily precipitation does not have a significant impact on this trend. | ||
| 650 | 4 | |a Climate change |7 (dpeaa)DE-He213 | |
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10.1007/s10661-023-12072-1 doi (DE-627)SPR053678052 (SPR)s10661-023-12072-1-e DE-627 ger DE-627 rakwb eng Khodraz, Zohre verfasserin (orcid)0000-0002-1540-6092 aut Projecting the impacts of climate change on the wind erosion potential using an ensemble of GCMs in Hormozgan Coastal plains, Iran 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract Wind erosion is one of the most critical problems in arid and semi-arid regions. The wind transports only dry soil, and no soil with a wet surface can be moved. The study aimed to investigate the changes in wind erosion potential in the coastal plains of Hormozgan province, Iran. Data from four synoptic stations from 1988 to 2017, as well as outputs from four climate models, namely HadGEM-2-CC, CSIRO-MK3- 6-0, ACCESS1-3 and CNRM-CM5, based on two Representative Concentration Pathways, RCP 4.5 and RCP 8.5, were used for the analysis. The outputs of climate models were ensembled and downscaled using the Change Factor statistical downscaling method. The downscaled data showed good accuracy in representing the large-scale GCM data. Furthermore, the “Potential of Wind Erosion Occurrence” was calculated for monthly and annual time scales using the Mann-Kendall nonparametric trend test. The results indicated that there were no significant trends in wind erosion occurrence during the base period (i.e., 1988 to 2017). However, it was projected that the “potential for wind erosion occurrence” and the “percentage of windy days associated with drought” would increase in the near future (i.e., 2031 to 2060) under both Representative Concentration Pathways (RCP 4.5 and RCP 8.5). Interestingly, both scenarios showed a decreasing trend in wind erosion occurrence in the far future (i.e., 2071 to 2100). This suggests that changes in wind patterns play a significant role in shaping wind erosion potential, while daily precipitation does not have a significant impact on this trend. Climate change (dpeaa)DE-He213 Climatic hazards (dpeaa)DE-He213 Geomorphological hazards (dpeaa)DE-He213 Hormozgan Province (dpeaa)DE-He213 Iran (dpeaa)DE-He213 Wind Erosion (dpeaa)DE-He213 Akbarian, Mohammad (orcid)0000-0002-8014-0921 aut Khoorani, Asadollah (orcid)0000-0003-0311-9624 aut Enthalten in Environmental monitoring and assessment Dordrecht [u.a.] : Springer Science + Business Media B.V, 1981 195(2023), 12 vom: 10. Nov. (DE-627)31281738X (DE-600)2012242-1 1573-2959 nnns volume:195 year:2023 number:12 day:10 month:11 https://dx.doi.org/10.1007/s10661-023-12072-1 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_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_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 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_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_2118 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_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_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 195 2023 12 10 11 |
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10.1007/s10661-023-12072-1 doi (DE-627)SPR053678052 (SPR)s10661-023-12072-1-e DE-627 ger DE-627 rakwb eng Khodraz, Zohre verfasserin (orcid)0000-0002-1540-6092 aut Projecting the impacts of climate change on the wind erosion potential using an ensemble of GCMs in Hormozgan Coastal plains, Iran 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract Wind erosion is one of the most critical problems in arid and semi-arid regions. The wind transports only dry soil, and no soil with a wet surface can be moved. The study aimed to investigate the changes in wind erosion potential in the coastal plains of Hormozgan province, Iran. Data from four synoptic stations from 1988 to 2017, as well as outputs from four climate models, namely HadGEM-2-CC, CSIRO-MK3- 6-0, ACCESS1-3 and CNRM-CM5, based on two Representative Concentration Pathways, RCP 4.5 and RCP 8.5, were used for the analysis. The outputs of climate models were ensembled and downscaled using the Change Factor statistical downscaling method. The downscaled data showed good accuracy in representing the large-scale GCM data. Furthermore, the “Potential of Wind Erosion Occurrence” was calculated for monthly and annual time scales using the Mann-Kendall nonparametric trend test. The results indicated that there were no significant trends in wind erosion occurrence during the base period (i.e., 1988 to 2017). However, it was projected that the “potential for wind erosion occurrence” and the “percentage of windy days associated with drought” would increase in the near future (i.e., 2031 to 2060) under both Representative Concentration Pathways (RCP 4.5 and RCP 8.5). Interestingly, both scenarios showed a decreasing trend in wind erosion occurrence in the far future (i.e., 2071 to 2100). This suggests that changes in wind patterns play a significant role in shaping wind erosion potential, while daily precipitation does not have a significant impact on this trend. Climate change (dpeaa)DE-He213 Climatic hazards (dpeaa)DE-He213 Geomorphological hazards (dpeaa)DE-He213 Hormozgan Province (dpeaa)DE-He213 Iran (dpeaa)DE-He213 Wind Erosion (dpeaa)DE-He213 Akbarian, Mohammad (orcid)0000-0002-8014-0921 aut Khoorani, Asadollah (orcid)0000-0003-0311-9624 aut Enthalten in Environmental monitoring and assessment Dordrecht [u.a.] : Springer Science + Business Media B.V, 1981 195(2023), 12 vom: 10. Nov. (DE-627)31281738X (DE-600)2012242-1 1573-2959 nnns volume:195 year:2023 number:12 day:10 month:11 https://dx.doi.org/10.1007/s10661-023-12072-1 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_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_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 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_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_2118 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_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_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 195 2023 12 10 11 |
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10.1007/s10661-023-12072-1 doi (DE-627)SPR053678052 (SPR)s10661-023-12072-1-e DE-627 ger DE-627 rakwb eng Khodraz, Zohre verfasserin (orcid)0000-0002-1540-6092 aut Projecting the impacts of climate change on the wind erosion potential using an ensemble of GCMs in Hormozgan Coastal plains, Iran 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract Wind erosion is one of the most critical problems in arid and semi-arid regions. The wind transports only dry soil, and no soil with a wet surface can be moved. The study aimed to investigate the changes in wind erosion potential in the coastal plains of Hormozgan province, Iran. Data from four synoptic stations from 1988 to 2017, as well as outputs from four climate models, namely HadGEM-2-CC, CSIRO-MK3- 6-0, ACCESS1-3 and CNRM-CM5, based on two Representative Concentration Pathways, RCP 4.5 and RCP 8.5, were used for the analysis. The outputs of climate models were ensembled and downscaled using the Change Factor statistical downscaling method. The downscaled data showed good accuracy in representing the large-scale GCM data. Furthermore, the “Potential of Wind Erosion Occurrence” was calculated for monthly and annual time scales using the Mann-Kendall nonparametric trend test. The results indicated that there were no significant trends in wind erosion occurrence during the base period (i.e., 1988 to 2017). However, it was projected that the “potential for wind erosion occurrence” and the “percentage of windy days associated with drought” would increase in the near future (i.e., 2031 to 2060) under both Representative Concentration Pathways (RCP 4.5 and RCP 8.5). Interestingly, both scenarios showed a decreasing trend in wind erosion occurrence in the far future (i.e., 2071 to 2100). This suggests that changes in wind patterns play a significant role in shaping wind erosion potential, while daily precipitation does not have a significant impact on this trend. Climate change (dpeaa)DE-He213 Climatic hazards (dpeaa)DE-He213 Geomorphological hazards (dpeaa)DE-He213 Hormozgan Province (dpeaa)DE-He213 Iran (dpeaa)DE-He213 Wind Erosion (dpeaa)DE-He213 Akbarian, Mohammad (orcid)0000-0002-8014-0921 aut Khoorani, Asadollah (orcid)0000-0003-0311-9624 aut Enthalten in Environmental monitoring and assessment Dordrecht [u.a.] : Springer Science + Business Media B.V, 1981 195(2023), 12 vom: 10. Nov. (DE-627)31281738X (DE-600)2012242-1 1573-2959 nnns volume:195 year:2023 number:12 day:10 month:11 https://dx.doi.org/10.1007/s10661-023-12072-1 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_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_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 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_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_2118 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_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_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 195 2023 12 10 11 |
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10.1007/s10661-023-12072-1 doi (DE-627)SPR053678052 (SPR)s10661-023-12072-1-e DE-627 ger DE-627 rakwb eng Khodraz, Zohre verfasserin (orcid)0000-0002-1540-6092 aut Projecting the impacts of climate change on the wind erosion potential using an ensemble of GCMs in Hormozgan Coastal plains, Iran 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract Wind erosion is one of the most critical problems in arid and semi-arid regions. The wind transports only dry soil, and no soil with a wet surface can be moved. The study aimed to investigate the changes in wind erosion potential in the coastal plains of Hormozgan province, Iran. Data from four synoptic stations from 1988 to 2017, as well as outputs from four climate models, namely HadGEM-2-CC, CSIRO-MK3- 6-0, ACCESS1-3 and CNRM-CM5, based on two Representative Concentration Pathways, RCP 4.5 and RCP 8.5, were used for the analysis. The outputs of climate models were ensembled and downscaled using the Change Factor statistical downscaling method. The downscaled data showed good accuracy in representing the large-scale GCM data. Furthermore, the “Potential of Wind Erosion Occurrence” was calculated for monthly and annual time scales using the Mann-Kendall nonparametric trend test. The results indicated that there were no significant trends in wind erosion occurrence during the base period (i.e., 1988 to 2017). However, it was projected that the “potential for wind erosion occurrence” and the “percentage of windy days associated with drought” would increase in the near future (i.e., 2031 to 2060) under both Representative Concentration Pathways (RCP 4.5 and RCP 8.5). Interestingly, both scenarios showed a decreasing trend in wind erosion occurrence in the far future (i.e., 2071 to 2100). This suggests that changes in wind patterns play a significant role in shaping wind erosion potential, while daily precipitation does not have a significant impact on this trend. Climate change (dpeaa)DE-He213 Climatic hazards (dpeaa)DE-He213 Geomorphological hazards (dpeaa)DE-He213 Hormozgan Province (dpeaa)DE-He213 Iran (dpeaa)DE-He213 Wind Erosion (dpeaa)DE-He213 Akbarian, Mohammad (orcid)0000-0002-8014-0921 aut Khoorani, Asadollah (orcid)0000-0003-0311-9624 aut Enthalten in Environmental monitoring and assessment Dordrecht [u.a.] : Springer Science + Business Media B.V, 1981 195(2023), 12 vom: 10. Nov. (DE-627)31281738X (DE-600)2012242-1 1573-2959 nnns volume:195 year:2023 number:12 day:10 month:11 https://dx.doi.org/10.1007/s10661-023-12072-1 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_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_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 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_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_2118 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_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_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 195 2023 12 10 11 |
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10.1007/s10661-023-12072-1 doi (DE-627)SPR053678052 (SPR)s10661-023-12072-1-e DE-627 ger DE-627 rakwb eng Khodraz, Zohre verfasserin (orcid)0000-0002-1540-6092 aut Projecting the impacts of climate change on the wind erosion potential using an ensemble of GCMs in Hormozgan Coastal plains, Iran 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract Wind erosion is one of the most critical problems in arid and semi-arid regions. The wind transports only dry soil, and no soil with a wet surface can be moved. The study aimed to investigate the changes in wind erosion potential in the coastal plains of Hormozgan province, Iran. Data from four synoptic stations from 1988 to 2017, as well as outputs from four climate models, namely HadGEM-2-CC, CSIRO-MK3- 6-0, ACCESS1-3 and CNRM-CM5, based on two Representative Concentration Pathways, RCP 4.5 and RCP 8.5, were used for the analysis. The outputs of climate models were ensembled and downscaled using the Change Factor statistical downscaling method. The downscaled data showed good accuracy in representing the large-scale GCM data. Furthermore, the “Potential of Wind Erosion Occurrence” was calculated for monthly and annual time scales using the Mann-Kendall nonparametric trend test. The results indicated that there were no significant trends in wind erosion occurrence during the base period (i.e., 1988 to 2017). However, it was projected that the “potential for wind erosion occurrence” and the “percentage of windy days associated with drought” would increase in the near future (i.e., 2031 to 2060) under both Representative Concentration Pathways (RCP 4.5 and RCP 8.5). Interestingly, both scenarios showed a decreasing trend in wind erosion occurrence in the far future (i.e., 2071 to 2100). This suggests that changes in wind patterns play a significant role in shaping wind erosion potential, while daily precipitation does not have a significant impact on this trend. Climate change (dpeaa)DE-He213 Climatic hazards (dpeaa)DE-He213 Geomorphological hazards (dpeaa)DE-He213 Hormozgan Province (dpeaa)DE-He213 Iran (dpeaa)DE-He213 Wind Erosion (dpeaa)DE-He213 Akbarian, Mohammad (orcid)0000-0002-8014-0921 aut Khoorani, Asadollah (orcid)0000-0003-0311-9624 aut Enthalten in Environmental monitoring and assessment Dordrecht [u.a.] : Springer Science + Business Media B.V, 1981 195(2023), 12 vom: 10. Nov. (DE-627)31281738X (DE-600)2012242-1 1573-2959 nnns volume:195 year:2023 number:12 day:10 month:11 https://dx.doi.org/10.1007/s10661-023-12072-1 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_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_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 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_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_2118 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_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_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 195 2023 12 10 11 |
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Enthalten in Environmental monitoring and assessment 195(2023), 12 vom: 10. Nov. volume:195 year:2023 number:12 day:10 month:11 |
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Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract Wind erosion is one of the most critical problems in arid and semi-arid regions. The wind transports only dry soil, and no soil with a wet surface can be moved. The study aimed to investigate the changes in wind erosion potential in the coastal plains of Hormozgan province, Iran. Data from four synoptic stations from 1988 to 2017, as well as outputs from four climate models, namely HadGEM-2-CC, CSIRO-MK3- 6-0, ACCESS1-3 and CNRM-CM5, based on two Representative Concentration Pathways, RCP 4.5 and RCP 8.5, were used for the analysis. The outputs of climate models were ensembled and downscaled using the Change Factor statistical downscaling method. The downscaled data showed good accuracy in representing the large-scale GCM data. Furthermore, the “Potential of Wind Erosion Occurrence” was calculated for monthly and annual time scales using the Mann-Kendall nonparametric trend test. The results indicated that there were no significant trends in wind erosion occurrence during the base period (i.e., 1988 to 2017). However, it was projected that the “potential for wind erosion occurrence” and the “percentage of windy days associated with drought” would increase in the near future (i.e., 2031 to 2060) under both Representative Concentration Pathways (RCP 4.5 and RCP 8.5). Interestingly, both scenarios showed a decreasing trend in wind erosion occurrence in the far future (i.e., 2071 to 2100). 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Khodraz, Zohre |
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Khodraz, Zohre misc Climate change misc Climatic hazards misc Geomorphological hazards misc Hormozgan Province misc Iran misc Wind Erosion Projecting the impacts of climate change on the wind erosion potential using an ensemble of GCMs in Hormozgan Coastal plains, Iran |
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Projecting the impacts of climate change on the wind erosion potential using an ensemble of GCMs in Hormozgan Coastal plains, Iran Climate change (dpeaa)DE-He213 Climatic hazards (dpeaa)DE-He213 Geomorphological hazards (dpeaa)DE-He213 Hormozgan Province (dpeaa)DE-He213 Iran (dpeaa)DE-He213 Wind Erosion (dpeaa)DE-He213 |
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Projecting the impacts of climate change on the wind erosion potential using an ensemble of GCMs in Hormozgan Coastal plains, Iran |
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Projecting the impacts of climate change on the wind erosion potential using an ensemble of GCMs in Hormozgan Coastal plains, Iran |
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projecting the impacts of climate change on the wind erosion potential using an ensemble of gcms in hormozgan coastal plains, iran |
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Projecting the impacts of climate change on the wind erosion potential using an ensemble of GCMs in Hormozgan Coastal plains, Iran |
| abstract |
Abstract Wind erosion is one of the most critical problems in arid and semi-arid regions. The wind transports only dry soil, and no soil with a wet surface can be moved. The study aimed to investigate the changes in wind erosion potential in the coastal plains of Hormozgan province, Iran. Data from four synoptic stations from 1988 to 2017, as well as outputs from four climate models, namely HadGEM-2-CC, CSIRO-MK3- 6-0, ACCESS1-3 and CNRM-CM5, based on two Representative Concentration Pathways, RCP 4.5 and RCP 8.5, were used for the analysis. The outputs of climate models were ensembled and downscaled using the Change Factor statistical downscaling method. The downscaled data showed good accuracy in representing the large-scale GCM data. Furthermore, the “Potential of Wind Erosion Occurrence” was calculated for monthly and annual time scales using the Mann-Kendall nonparametric trend test. The results indicated that there were no significant trends in wind erosion occurrence during the base period (i.e., 1988 to 2017). However, it was projected that the “potential for wind erosion occurrence” and the “percentage of windy days associated with drought” would increase in the near future (i.e., 2031 to 2060) under both Representative Concentration Pathways (RCP 4.5 and RCP 8.5). Interestingly, both scenarios showed a decreasing trend in wind erosion occurrence in the far future (i.e., 2071 to 2100). This suggests that changes in wind patterns play a significant role in shaping wind erosion potential, while daily precipitation does not have a significant impact on this trend. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
| abstractGer |
Abstract Wind erosion is one of the most critical problems in arid and semi-arid regions. The wind transports only dry soil, and no soil with a wet surface can be moved. The study aimed to investigate the changes in wind erosion potential in the coastal plains of Hormozgan province, Iran. Data from four synoptic stations from 1988 to 2017, as well as outputs from four climate models, namely HadGEM-2-CC, CSIRO-MK3- 6-0, ACCESS1-3 and CNRM-CM5, based on two Representative Concentration Pathways, RCP 4.5 and RCP 8.5, were used for the analysis. The outputs of climate models were ensembled and downscaled using the Change Factor statistical downscaling method. The downscaled data showed good accuracy in representing the large-scale GCM data. Furthermore, the “Potential of Wind Erosion Occurrence” was calculated for monthly and annual time scales using the Mann-Kendall nonparametric trend test. The results indicated that there were no significant trends in wind erosion occurrence during the base period (i.e., 1988 to 2017). However, it was projected that the “potential for wind erosion occurrence” and the “percentage of windy days associated with drought” would increase in the near future (i.e., 2031 to 2060) under both Representative Concentration Pathways (RCP 4.5 and RCP 8.5). Interestingly, both scenarios showed a decreasing trend in wind erosion occurrence in the far future (i.e., 2071 to 2100). This suggests that changes in wind patterns play a significant role in shaping wind erosion potential, while daily precipitation does not have a significant impact on this trend. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
| abstract_unstemmed |
Abstract Wind erosion is one of the most critical problems in arid and semi-arid regions. The wind transports only dry soil, and no soil with a wet surface can be moved. The study aimed to investigate the changes in wind erosion potential in the coastal plains of Hormozgan province, Iran. Data from four synoptic stations from 1988 to 2017, as well as outputs from four climate models, namely HadGEM-2-CC, CSIRO-MK3- 6-0, ACCESS1-3 and CNRM-CM5, based on two Representative Concentration Pathways, RCP 4.5 and RCP 8.5, were used for the analysis. The outputs of climate models were ensembled and downscaled using the Change Factor statistical downscaling method. The downscaled data showed good accuracy in representing the large-scale GCM data. Furthermore, the “Potential of Wind Erosion Occurrence” was calculated for monthly and annual time scales using the Mann-Kendall nonparametric trend test. The results indicated that there were no significant trends in wind erosion occurrence during the base period (i.e., 1988 to 2017). However, it was projected that the “potential for wind erosion occurrence” and the “percentage of windy days associated with drought” would increase in the near future (i.e., 2031 to 2060) under both Representative Concentration Pathways (RCP 4.5 and RCP 8.5). Interestingly, both scenarios showed a decreasing trend in wind erosion occurrence in the far future (i.e., 2071 to 2100). This suggests that changes in wind patterns play a significant role in shaping wind erosion potential, while daily precipitation does not have a significant impact on this trend. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
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12 |
| title_short |
Projecting the impacts of climate change on the wind erosion potential using an ensemble of GCMs in Hormozgan Coastal plains, Iran |
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https://dx.doi.org/10.1007/s10661-023-12072-1 |
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Akbarian, Mohammad Khoorani, Asadollah |
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10.1007/s10661-023-12072-1 |
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2024-07-03T21:15:09.279Z |
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|
| score |
7.400319 |