Investigating the consequences of climate change in runoff and sediment rate

Abstract This study aims at investigating the effects of climate change on runoff and sediment of Karganrood basin in Gilan province, Iran, for the first time. By entering the hydrometric and meteorological data into the SWAT model and using the SUFI-2 algorithm, the discharge and sediment simulatio...
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Autor*in:	Rabiee, Mohammad Reza Sheykh [verfasserIn] Peyrowan, Hamid Reza Arasteh, Peyman Daneshkar Akbary, Mehry Motamedvaziri, Baharak

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2023

Schlagwörter:	Climate change Runoff Sediment yield SWAT

Anmerkung:	© Saudi Society for Geosciences and 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.

Übergeordnetes Werk:	Enthalten in: Arabian journal of geosciences - Berlin : Springer, 2008, 16(2023), 5 vom: 13. Apr.
Übergeordnetes Werk:	volume:16 ; year:2023 ; number:5 ; day:13 ; month:04

Links:	Volltext

DOI / URN:	10.1007/s12517-023-11352-x

Katalog-ID:	SPR050017292

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520			\|a Abstract This study aims at investigating the effects of climate change on runoff and sediment of Karganrood basin in Gilan province, Iran, for the first time. By entering the hydrometric and meteorological data into the SWAT model and using the SUFI-2 algorithm, the discharge and sediment simulation of the basin was calibrated and validated. More to the point, the current status data of Bandar Anzali synoptic station the HadGEM2-ES, MIROC, and NoerESM1-M climate models from the series of models of the fifth report of the Intergovernmental Panel on Climate Change were used to investigate the effects of climate change on runoff and sediment under two emission scenarios called RCP4.5 and RCP8.5. These scenarios used in this research for three periods of 2025–2050, 2051–2075, and 2076–2100. Considering having the results of evaluation and validation of climate models through using Nash–Sutcliffe, correlation coefficient, and root-mean-square error, the HadGEM2-ES climatic model indicates the lowest error rate and the highest correlation in climatic factors. The results of the HadGEM2-ES model reveal the precipitation and maximum/minimum, and mean temperatures which were decreased in all upcoming periods based on RCP4.5. Based on the review of the HadGEM2-ES model results related to RCP8.5, it is predicted that the precipitation will be decreased in all upcoming periods and the maximum temperature will experience an increase within 2051–2075 and 2076–2100 periods. The results of the SWAT model also present that the runoff changes in the RCP4.5 and RCP8.5 scenarios in all upcoming periods have a decreasing trend and the sediment changes have an increasing trend.
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700	1		\|a Peyrowan, Hamid Reza \|4 aut
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700	1		\|a Motamedvaziri, Baharak \|4 aut
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912			\|a GBV_ILN_170
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912			\|a GBV_ILN_187
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912			\|a GBV_ILN_224
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912			\|a GBV_ILN_250
912			\|a GBV_ILN_281
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allfields	10.1007/s12517-023-11352-x doi (DE-627)SPR050017292 (SPR)s12517-023-11352-x-e DE-627 ger DE-627 rakwb eng Rabiee, Mohammad Reza Sheykh verfasserin aut Investigating the consequences of climate change in runoff and sediment rate 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Saudi Society for Geosciences and 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 This study aims at investigating the effects of climate change on runoff and sediment of Karganrood basin in Gilan province, Iran, for the first time. By entering the hydrometric and meteorological data into the SWAT model and using the SUFI-2 algorithm, the discharge and sediment simulation of the basin was calibrated and validated. More to the point, the current status data of Bandar Anzali synoptic station the HadGEM2-ES, MIROC, and NoerESM1-M climate models from the series of models of the fifth report of the Intergovernmental Panel on Climate Change were used to investigate the effects of climate change on runoff and sediment under two emission scenarios called RCP4.5 and RCP8.5. These scenarios used in this research for three periods of 2025–2050, 2051–2075, and 2076–2100. Considering having the results of evaluation and validation of climate models through using Nash–Sutcliffe, correlation coefficient, and root-mean-square error, the HadGEM2-ES climatic model indicates the lowest error rate and the highest correlation in climatic factors. The results of the HadGEM2-ES model reveal the precipitation and maximum/minimum, and mean temperatures which were decreased in all upcoming periods based on RCP4.5. Based on the review of the HadGEM2-ES model results related to RCP8.5, it is predicted that the precipitation will be decreased in all upcoming periods and the maximum temperature will experience an increase within 2051–2075 and 2076–2100 periods. The results of the SWAT model also present that the runoff changes in the RCP4.5 and RCP8.5 scenarios in all upcoming periods have a decreasing trend and the sediment changes have an increasing trend. Climate change (dpeaa)DE-He213 Runoff (dpeaa)DE-He213 Sediment yield (dpeaa)DE-He213 SWAT (dpeaa)DE-He213 Peyrowan, Hamid Reza aut Arasteh, Peyman Daneshkar aut Akbary, Mehry aut Motamedvaziri, Baharak aut Enthalten in Arabian journal of geosciences Berlin : Springer, 2008 16(2023), 5 vom: 13. Apr. (DE-627)572421877 (DE-600)2438771-X 1866-7538 nnns volume:16 year:2023 number:5 day:13 month:04 https://dx.doi.org/10.1007/s12517-023-11352-x 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_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_381 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 16 2023 5 13 04
spelling	10.1007/s12517-023-11352-x doi (DE-627)SPR050017292 (SPR)s12517-023-11352-x-e DE-627 ger DE-627 rakwb eng Rabiee, Mohammad Reza Sheykh verfasserin aut Investigating the consequences of climate change in runoff and sediment rate 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Saudi Society for Geosciences and 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 This study aims at investigating the effects of climate change on runoff and sediment of Karganrood basin in Gilan province, Iran, for the first time. By entering the hydrometric and meteorological data into the SWAT model and using the SUFI-2 algorithm, the discharge and sediment simulation of the basin was calibrated and validated. More to the point, the current status data of Bandar Anzali synoptic station the HadGEM2-ES, MIROC, and NoerESM1-M climate models from the series of models of the fifth report of the Intergovernmental Panel on Climate Change were used to investigate the effects of climate change on runoff and sediment under two emission scenarios called RCP4.5 and RCP8.5. These scenarios used in this research for three periods of 2025–2050, 2051–2075, and 2076–2100. Considering having the results of evaluation and validation of climate models through using Nash–Sutcliffe, correlation coefficient, and root-mean-square error, the HadGEM2-ES climatic model indicates the lowest error rate and the highest correlation in climatic factors. The results of the HadGEM2-ES model reveal the precipitation and maximum/minimum, and mean temperatures which were decreased in all upcoming periods based on RCP4.5. Based on the review of the HadGEM2-ES model results related to RCP8.5, it is predicted that the precipitation will be decreased in all upcoming periods and the maximum temperature will experience an increase within 2051–2075 and 2076–2100 periods. The results of the SWAT model also present that the runoff changes in the RCP4.5 and RCP8.5 scenarios in all upcoming periods have a decreasing trend and the sediment changes have an increasing trend. Climate change (dpeaa)DE-He213 Runoff (dpeaa)DE-He213 Sediment yield (dpeaa)DE-He213 SWAT (dpeaa)DE-He213 Peyrowan, Hamid Reza aut Arasteh, Peyman Daneshkar aut Akbary, Mehry aut Motamedvaziri, Baharak aut Enthalten in Arabian journal of geosciences Berlin : Springer, 2008 16(2023), 5 vom: 13. Apr. (DE-627)572421877 (DE-600)2438771-X 1866-7538 nnns volume:16 year:2023 number:5 day:13 month:04 https://dx.doi.org/10.1007/s12517-023-11352-x 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_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_381 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 16 2023 5 13 04
allfields_unstemmed	10.1007/s12517-023-11352-x doi (DE-627)SPR050017292 (SPR)s12517-023-11352-x-e DE-627 ger DE-627 rakwb eng Rabiee, Mohammad Reza Sheykh verfasserin aut Investigating the consequences of climate change in runoff and sediment rate 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Saudi Society for Geosciences and 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 This study aims at investigating the effects of climate change on runoff and sediment of Karganrood basin in Gilan province, Iran, for the first time. By entering the hydrometric and meteorological data into the SWAT model and using the SUFI-2 algorithm, the discharge and sediment simulation of the basin was calibrated and validated. More to the point, the current status data of Bandar Anzali synoptic station the HadGEM2-ES, MIROC, and NoerESM1-M climate models from the series of models of the fifth report of the Intergovernmental Panel on Climate Change were used to investigate the effects of climate change on runoff and sediment under two emission scenarios called RCP4.5 and RCP8.5. These scenarios used in this research for three periods of 2025–2050, 2051–2075, and 2076–2100. Considering having the results of evaluation and validation of climate models through using Nash–Sutcliffe, correlation coefficient, and root-mean-square error, the HadGEM2-ES climatic model indicates the lowest error rate and the highest correlation in climatic factors. The results of the HadGEM2-ES model reveal the precipitation and maximum/minimum, and mean temperatures which were decreased in all upcoming periods based on RCP4.5. Based on the review of the HadGEM2-ES model results related to RCP8.5, it is predicted that the precipitation will be decreased in all upcoming periods and the maximum temperature will experience an increase within 2051–2075 and 2076–2100 periods. The results of the SWAT model also present that the runoff changes in the RCP4.5 and RCP8.5 scenarios in all upcoming periods have a decreasing trend and the sediment changes have an increasing trend. Climate change (dpeaa)DE-He213 Runoff (dpeaa)DE-He213 Sediment yield (dpeaa)DE-He213 SWAT (dpeaa)DE-He213 Peyrowan, Hamid Reza aut Arasteh, Peyman Daneshkar aut Akbary, Mehry aut Motamedvaziri, Baharak aut Enthalten in Arabian journal of geosciences Berlin : Springer, 2008 16(2023), 5 vom: 13. Apr. (DE-627)572421877 (DE-600)2438771-X 1866-7538 nnns volume:16 year:2023 number:5 day:13 month:04 https://dx.doi.org/10.1007/s12517-023-11352-x 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_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_381 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 16 2023 5 13 04
allfieldsGer	10.1007/s12517-023-11352-x doi (DE-627)SPR050017292 (SPR)s12517-023-11352-x-e DE-627 ger DE-627 rakwb eng Rabiee, Mohammad Reza Sheykh verfasserin aut Investigating the consequences of climate change in runoff and sediment rate 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Saudi Society for Geosciences and 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 This study aims at investigating the effects of climate change on runoff and sediment of Karganrood basin in Gilan province, Iran, for the first time. By entering the hydrometric and meteorological data into the SWAT model and using the SUFI-2 algorithm, the discharge and sediment simulation of the basin was calibrated and validated. More to the point, the current status data of Bandar Anzali synoptic station the HadGEM2-ES, MIROC, and NoerESM1-M climate models from the series of models of the fifth report of the Intergovernmental Panel on Climate Change were used to investigate the effects of climate change on runoff and sediment under two emission scenarios called RCP4.5 and RCP8.5. These scenarios used in this research for three periods of 2025–2050, 2051–2075, and 2076–2100. Considering having the results of evaluation and validation of climate models through using Nash–Sutcliffe, correlation coefficient, and root-mean-square error, the HadGEM2-ES climatic model indicates the lowest error rate and the highest correlation in climatic factors. The results of the HadGEM2-ES model reveal the precipitation and maximum/minimum, and mean temperatures which were decreased in all upcoming periods based on RCP4.5. Based on the review of the HadGEM2-ES model results related to RCP8.5, it is predicted that the precipitation will be decreased in all upcoming periods and the maximum temperature will experience an increase within 2051–2075 and 2076–2100 periods. The results of the SWAT model also present that the runoff changes in the RCP4.5 and RCP8.5 scenarios in all upcoming periods have a decreasing trend and the sediment changes have an increasing trend. Climate change (dpeaa)DE-He213 Runoff (dpeaa)DE-He213 Sediment yield (dpeaa)DE-He213 SWAT (dpeaa)DE-He213 Peyrowan, Hamid Reza aut Arasteh, Peyman Daneshkar aut Akbary, Mehry aut Motamedvaziri, Baharak aut Enthalten in Arabian journal of geosciences Berlin : Springer, 2008 16(2023), 5 vom: 13. Apr. (DE-627)572421877 (DE-600)2438771-X 1866-7538 nnns volume:16 year:2023 number:5 day:13 month:04 https://dx.doi.org/10.1007/s12517-023-11352-x 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_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_381 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 16 2023 5 13 04
allfieldsSound	10.1007/s12517-023-11352-x doi (DE-627)SPR050017292 (SPR)s12517-023-11352-x-e DE-627 ger DE-627 rakwb eng Rabiee, Mohammad Reza Sheykh verfasserin aut Investigating the consequences of climate change in runoff and sediment rate 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Saudi Society for Geosciences and 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 This study aims at investigating the effects of climate change on runoff and sediment of Karganrood basin in Gilan province, Iran, for the first time. By entering the hydrometric and meteorological data into the SWAT model and using the SUFI-2 algorithm, the discharge and sediment simulation of the basin was calibrated and validated. More to the point, the current status data of Bandar Anzali synoptic station the HadGEM2-ES, MIROC, and NoerESM1-M climate models from the series of models of the fifth report of the Intergovernmental Panel on Climate Change were used to investigate the effects of climate change on runoff and sediment under two emission scenarios called RCP4.5 and RCP8.5. These scenarios used in this research for three periods of 2025–2050, 2051–2075, and 2076–2100. Considering having the results of evaluation and validation of climate models through using Nash–Sutcliffe, correlation coefficient, and root-mean-square error, the HadGEM2-ES climatic model indicates the lowest error rate and the highest correlation in climatic factors. The results of the HadGEM2-ES model reveal the precipitation and maximum/minimum, and mean temperatures which were decreased in all upcoming periods based on RCP4.5. Based on the review of the HadGEM2-ES model results related to RCP8.5, it is predicted that the precipitation will be decreased in all upcoming periods and the maximum temperature will experience an increase within 2051–2075 and 2076–2100 periods. The results of the SWAT model also present that the runoff changes in the RCP4.5 and RCP8.5 scenarios in all upcoming periods have a decreasing trend and the sediment changes have an increasing trend. Climate change (dpeaa)DE-He213 Runoff (dpeaa)DE-He213 Sediment yield (dpeaa)DE-He213 SWAT (dpeaa)DE-He213 Peyrowan, Hamid Reza aut Arasteh, Peyman Daneshkar aut Akbary, Mehry aut Motamedvaziri, Baharak aut Enthalten in Arabian journal of geosciences Berlin : Springer, 2008 16(2023), 5 vom: 13. Apr. (DE-627)572421877 (DE-600)2438771-X 1866-7538 nnns volume:16 year:2023 number:5 day:13 month:04 https://dx.doi.org/10.1007/s12517-023-11352-x 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_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_381 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 16 2023 5 13 04
language	English
source	Enthalten in Arabian journal of geosciences 16(2023), 5 vom: 13. Apr. volume:16 year:2023 number:5 day:13 month:04
sourceStr	Enthalten in Arabian journal of geosciences 16(2023), 5 vom: 13. Apr. volume:16 year:2023 number:5 day:13 month:04
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Climate change Runoff Sediment yield SWAT
isfreeaccess_bool	false
container_title	Arabian journal of geosciences
authorswithroles_txt_mv	Rabiee, Mohammad Reza Sheykh @@aut@@ Peyrowan, Hamid Reza @@aut@@ Arasteh, Peyman Daneshkar @@aut@@ Akbary, Mehry @@aut@@ Motamedvaziri, Baharak @@aut@@
publishDateDaySort_date	2023-04-13T00:00:00Z
hierarchy_top_id	572421877
id	SPR050017292
language_de	englisch
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author	Rabiee, Mohammad Reza Sheykh
spellingShingle	Rabiee, Mohammad Reza Sheykh misc Climate change misc Runoff misc Sediment yield misc SWAT Investigating the consequences of climate change in runoff and sediment rate
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topic_title	Investigating the consequences of climate change in runoff and sediment rate Climate change (dpeaa)DE-He213 Runoff (dpeaa)DE-He213 Sediment yield (dpeaa)DE-He213 SWAT (dpeaa)DE-He213
topic	misc Climate change misc Runoff misc Sediment yield misc SWAT
topic_unstemmed	misc Climate change misc Runoff misc Sediment yield misc SWAT
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title	Investigating the consequences of climate change in runoff and sediment rate
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title_full	Investigating the consequences of climate change in runoff and sediment rate
author_sort	Rabiee, Mohammad Reza Sheykh
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author_browse	Rabiee, Mohammad Reza Sheykh Peyrowan, Hamid Reza Arasteh, Peyman Daneshkar Akbary, Mehry Motamedvaziri, Baharak
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author-letter	Rabiee, Mohammad Reza Sheykh
doi_str_mv	10.1007/s12517-023-11352-x
title_sort	investigating the consequences of climate change in runoff and sediment rate
title_auth	Investigating the consequences of climate change in runoff and sediment rate
abstract	Abstract This study aims at investigating the effects of climate change on runoff and sediment of Karganrood basin in Gilan province, Iran, for the first time. By entering the hydrometric and meteorological data into the SWAT model and using the SUFI-2 algorithm, the discharge and sediment simulation of the basin was calibrated and validated. More to the point, the current status data of Bandar Anzali synoptic station the HadGEM2-ES, MIROC, and NoerESM1-M climate models from the series of models of the fifth report of the Intergovernmental Panel on Climate Change were used to investigate the effects of climate change on runoff and sediment under two emission scenarios called RCP4.5 and RCP8.5. These scenarios used in this research for three periods of 2025–2050, 2051–2075, and 2076–2100. Considering having the results of evaluation and validation of climate models through using Nash–Sutcliffe, correlation coefficient, and root-mean-square error, the HadGEM2-ES climatic model indicates the lowest error rate and the highest correlation in climatic factors. The results of the HadGEM2-ES model reveal the precipitation and maximum/minimum, and mean temperatures which were decreased in all upcoming periods based on RCP4.5. Based on the review of the HadGEM2-ES model results related to RCP8.5, it is predicted that the precipitation will be decreased in all upcoming periods and the maximum temperature will experience an increase within 2051–2075 and 2076–2100 periods. The results of the SWAT model also present that the runoff changes in the RCP4.5 and RCP8.5 scenarios in all upcoming periods have a decreasing trend and the sediment changes have an increasing trend. © Saudi Society for Geosciences and 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 This study aims at investigating the effects of climate change on runoff and sediment of Karganrood basin in Gilan province, Iran, for the first time. By entering the hydrometric and meteorological data into the SWAT model and using the SUFI-2 algorithm, the discharge and sediment simulation of the basin was calibrated and validated. More to the point, the current status data of Bandar Anzali synoptic station the HadGEM2-ES, MIROC, and NoerESM1-M climate models from the series of models of the fifth report of the Intergovernmental Panel on Climate Change were used to investigate the effects of climate change on runoff and sediment under two emission scenarios called RCP4.5 and RCP8.5. These scenarios used in this research for three periods of 2025–2050, 2051–2075, and 2076–2100. Considering having the results of evaluation and validation of climate models through using Nash–Sutcliffe, correlation coefficient, and root-mean-square error, the HadGEM2-ES climatic model indicates the lowest error rate and the highest correlation in climatic factors. The results of the HadGEM2-ES model reveal the precipitation and maximum/minimum, and mean temperatures which were decreased in all upcoming periods based on RCP4.5. Based on the review of the HadGEM2-ES model results related to RCP8.5, it is predicted that the precipitation will be decreased in all upcoming periods and the maximum temperature will experience an increase within 2051–2075 and 2076–2100 periods. The results of the SWAT model also present that the runoff changes in the RCP4.5 and RCP8.5 scenarios in all upcoming periods have a decreasing trend and the sediment changes have an increasing trend. © Saudi Society for Geosciences and 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 This study aims at investigating the effects of climate change on runoff and sediment of Karganrood basin in Gilan province, Iran, for the first time. By entering the hydrometric and meteorological data into the SWAT model and using the SUFI-2 algorithm, the discharge and sediment simulation of the basin was calibrated and validated. More to the point, the current status data of Bandar Anzali synoptic station the HadGEM2-ES, MIROC, and NoerESM1-M climate models from the series of models of the fifth report of the Intergovernmental Panel on Climate Change were used to investigate the effects of climate change on runoff and sediment under two emission scenarios called RCP4.5 and RCP8.5. These scenarios used in this research for three periods of 2025–2050, 2051–2075, and 2076–2100. Considering having the results of evaluation and validation of climate models through using Nash–Sutcliffe, correlation coefficient, and root-mean-square error, the HadGEM2-ES climatic model indicates the lowest error rate and the highest correlation in climatic factors. The results of the HadGEM2-ES model reveal the precipitation and maximum/minimum, and mean temperatures which were decreased in all upcoming periods based on RCP4.5. Based on the review of the HadGEM2-ES model results related to RCP8.5, it is predicted that the precipitation will be decreased in all upcoming periods and the maximum temperature will experience an increase within 2051–2075 and 2076–2100 periods. The results of the SWAT model also present that the runoff changes in the RCP4.5 and RCP8.5 scenarios in all upcoming periods have a decreasing trend and the sediment changes have an increasing trend. © Saudi Society for Geosciences and 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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container_issue	5
title_short	Investigating the consequences of climate change in runoff and sediment rate
url	https://dx.doi.org/10.1007/s12517-023-11352-x
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author2	Peyrowan, Hamid Reza Arasteh, Peyman Daneshkar Akbary, Mehry Motamedvaziri, Baharak
author2Str	Peyrowan, Hamid Reza Arasteh, Peyman Daneshkar Akbary, Mehry Motamedvaziri, Baharak
ppnlink	572421877
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doi_str	10.1007/s12517-023-11352-x
up_date	2024-07-04T03:08:30.810Z
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Investigating the consequences of climate change in runoff and sediment rate

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