Study the assimilation capacity of Gharehsou River using Qual2kw model
In this study, the assimilative capacity changes of the Gharehsou River has been studied. Gharehsou River, in the East of Ardabil province of Iran in its flow path, is the entrance and discharge domestic sewage, industrial wastewater and agricultural drainage and for determining of assimilative capa...
Ausführliche Beschreibung
Autor*in: |
Yaser Hoseini [verfasserIn] Pegah Hoseini [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2018 |
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Übergeordnetes Werk: |
In: Journal of Applied Sciences and Environmental Management - Joint Coordination Centre of the World Bank assisted National Agricultural Research Programme (NARP), 2024, 22(2018), 3 |
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Übergeordnetes Werk: |
volume:22 ; year:2018 ; number:3 |
Links: |
Link aufrufen |
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DOI / URN: |
10.4314/jasem.v22i3.6 |
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Katalog-ID: |
DOAJ091426235 |
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10.4314/jasem.v22i3.6 doi (DE-627)DOAJ091426235 (DE-599)DOAJ2209c563ad89458fb617a8abb2e44794 DE-627 ger DE-627 rakwb eng Yaser Hoseini verfasserin aut Study the assimilation capacity of Gharehsou River using Qual2kw model 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In this study, the assimilative capacity changes of the Gharehsou River has been studied. Gharehsou River, in the East of Ardabil province of Iran in its flow path, is the entrance and discharge domestic sewage, industrial wastewater and agricultural drainage and for determining of assimilative capacity of this river, first, the calibrated model of Qual2kw simulated parameters change of NO3, BOD, DO, pH and temperature for two months of January and July, and then it was compared with observational data in Aladizgeh, Samian, Anzob and ArbabKandi stations. Given the mean correlation coefficient R2 and the mean average absolute error (MAE) for two months, the best simulation for pH (R2=0.43 and MAE=0.95) and then respectively, for temperature (R2=0.56 and MAE=5.75), DO (R2=0.69 and MAE=1.75), BOD (R2=0.75 and MAE=5.78), NO3 (R2=0.39 and MAE=2.17), have been done and with the exception of nitrate, for other parameters, the Simulation in July was better than January. Results showed that measured and modeled values have a good agreement with each other and the simulation in these parameters has been done well. Gharehsou River assimilative physical and chemical parameters Qual2kw Science Q Pegah Hoseini verfasserin aut In Journal of Applied Sciences and Environmental Management Joint Coordination Centre of the World Bank assisted National Agricultural Research Programme (NARP), 2024 22(2018), 3 (DE-627)369084896 (DE-600)2118682-0 26591499 nnns volume:22 year:2018 number:3 https://doi.org/10.4314/jasem.v22i3.6 kostenfrei https://doaj.org/article/2209c563ad89458fb617a8abb2e44794 kostenfrei https://www.ajol.info/index.php/jasem/article/view/169354 kostenfrei https://doaj.org/toc/2659-1502 Journal toc kostenfrei https://doaj.org/toc/2659-1499 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 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_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2027 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4338 GBV_ILN_4367 GBV_ILN_4700 AR 22 2018 3 |
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10.4314/jasem.v22i3.6 doi (DE-627)DOAJ091426235 (DE-599)DOAJ2209c563ad89458fb617a8abb2e44794 DE-627 ger DE-627 rakwb eng Yaser Hoseini verfasserin aut Study the assimilation capacity of Gharehsou River using Qual2kw model 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In this study, the assimilative capacity changes of the Gharehsou River has been studied. Gharehsou River, in the East of Ardabil province of Iran in its flow path, is the entrance and discharge domestic sewage, industrial wastewater and agricultural drainage and for determining of assimilative capacity of this river, first, the calibrated model of Qual2kw simulated parameters change of NO3, BOD, DO, pH and temperature for two months of January and July, and then it was compared with observational data in Aladizgeh, Samian, Anzob and ArbabKandi stations. Given the mean correlation coefficient R2 and the mean average absolute error (MAE) for two months, the best simulation for pH (R2=0.43 and MAE=0.95) and then respectively, for temperature (R2=0.56 and MAE=5.75), DO (R2=0.69 and MAE=1.75), BOD (R2=0.75 and MAE=5.78), NO3 (R2=0.39 and MAE=2.17), have been done and with the exception of nitrate, for other parameters, the Simulation in July was better than January. Results showed that measured and modeled values have a good agreement with each other and the simulation in these parameters has been done well. Gharehsou River assimilative physical and chemical parameters Qual2kw Science Q Pegah Hoseini verfasserin aut In Journal of Applied Sciences and Environmental Management Joint Coordination Centre of the World Bank assisted National Agricultural Research Programme (NARP), 2024 22(2018), 3 (DE-627)369084896 (DE-600)2118682-0 26591499 nnns volume:22 year:2018 number:3 https://doi.org/10.4314/jasem.v22i3.6 kostenfrei https://doaj.org/article/2209c563ad89458fb617a8abb2e44794 kostenfrei https://www.ajol.info/index.php/jasem/article/view/169354 kostenfrei https://doaj.org/toc/2659-1502 Journal toc kostenfrei https://doaj.org/toc/2659-1499 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 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_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2027 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4338 GBV_ILN_4367 GBV_ILN_4700 AR 22 2018 3 |
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10.4314/jasem.v22i3.6 doi (DE-627)DOAJ091426235 (DE-599)DOAJ2209c563ad89458fb617a8abb2e44794 DE-627 ger DE-627 rakwb eng Yaser Hoseini verfasserin aut Study the assimilation capacity of Gharehsou River using Qual2kw model 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In this study, the assimilative capacity changes of the Gharehsou River has been studied. Gharehsou River, in the East of Ardabil province of Iran in its flow path, is the entrance and discharge domestic sewage, industrial wastewater and agricultural drainage and for determining of assimilative capacity of this river, first, the calibrated model of Qual2kw simulated parameters change of NO3, BOD, DO, pH and temperature for two months of January and July, and then it was compared with observational data in Aladizgeh, Samian, Anzob and ArbabKandi stations. Given the mean correlation coefficient R2 and the mean average absolute error (MAE) for two months, the best simulation for pH (R2=0.43 and MAE=0.95) and then respectively, for temperature (R2=0.56 and MAE=5.75), DO (R2=0.69 and MAE=1.75), BOD (R2=0.75 and MAE=5.78), NO3 (R2=0.39 and MAE=2.17), have been done and with the exception of nitrate, for other parameters, the Simulation in July was better than January. Results showed that measured and modeled values have a good agreement with each other and the simulation in these parameters has been done well. Gharehsou River assimilative physical and chemical parameters Qual2kw Science Q Pegah Hoseini verfasserin aut In Journal of Applied Sciences and Environmental Management Joint Coordination Centre of the World Bank assisted National Agricultural Research Programme (NARP), 2024 22(2018), 3 (DE-627)369084896 (DE-600)2118682-0 26591499 nnns volume:22 year:2018 number:3 https://doi.org/10.4314/jasem.v22i3.6 kostenfrei https://doaj.org/article/2209c563ad89458fb617a8abb2e44794 kostenfrei https://www.ajol.info/index.php/jasem/article/view/169354 kostenfrei https://doaj.org/toc/2659-1502 Journal toc kostenfrei https://doaj.org/toc/2659-1499 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 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_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2027 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4338 GBV_ILN_4367 GBV_ILN_4700 AR 22 2018 3 |
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10.4314/jasem.v22i3.6 doi (DE-627)DOAJ091426235 (DE-599)DOAJ2209c563ad89458fb617a8abb2e44794 DE-627 ger DE-627 rakwb eng Yaser Hoseini verfasserin aut Study the assimilation capacity of Gharehsou River using Qual2kw model 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In this study, the assimilative capacity changes of the Gharehsou River has been studied. Gharehsou River, in the East of Ardabil province of Iran in its flow path, is the entrance and discharge domestic sewage, industrial wastewater and agricultural drainage and for determining of assimilative capacity of this river, first, the calibrated model of Qual2kw simulated parameters change of NO3, BOD, DO, pH and temperature for two months of January and July, and then it was compared with observational data in Aladizgeh, Samian, Anzob and ArbabKandi stations. Given the mean correlation coefficient R2 and the mean average absolute error (MAE) for two months, the best simulation for pH (R2=0.43 and MAE=0.95) and then respectively, for temperature (R2=0.56 and MAE=5.75), DO (R2=0.69 and MAE=1.75), BOD (R2=0.75 and MAE=5.78), NO3 (R2=0.39 and MAE=2.17), have been done and with the exception of nitrate, for other parameters, the Simulation in July was better than January. Results showed that measured and modeled values have a good agreement with each other and the simulation in these parameters has been done well. Gharehsou River assimilative physical and chemical parameters Qual2kw Science Q Pegah Hoseini verfasserin aut In Journal of Applied Sciences and Environmental Management Joint Coordination Centre of the World Bank assisted National Agricultural Research Programme (NARP), 2024 22(2018), 3 (DE-627)369084896 (DE-600)2118682-0 26591499 nnns volume:22 year:2018 number:3 https://doi.org/10.4314/jasem.v22i3.6 kostenfrei https://doaj.org/article/2209c563ad89458fb617a8abb2e44794 kostenfrei https://www.ajol.info/index.php/jasem/article/view/169354 kostenfrei https://doaj.org/toc/2659-1502 Journal toc kostenfrei https://doaj.org/toc/2659-1499 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 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_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2027 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4338 GBV_ILN_4367 GBV_ILN_4700 AR 22 2018 3 |
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10.4314/jasem.v22i3.6 doi (DE-627)DOAJ091426235 (DE-599)DOAJ2209c563ad89458fb617a8abb2e44794 DE-627 ger DE-627 rakwb eng Yaser Hoseini verfasserin aut Study the assimilation capacity of Gharehsou River using Qual2kw model 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In this study, the assimilative capacity changes of the Gharehsou River has been studied. Gharehsou River, in the East of Ardabil province of Iran in its flow path, is the entrance and discharge domestic sewage, industrial wastewater and agricultural drainage and for determining of assimilative capacity of this river, first, the calibrated model of Qual2kw simulated parameters change of NO3, BOD, DO, pH and temperature for two months of January and July, and then it was compared with observational data in Aladizgeh, Samian, Anzob and ArbabKandi stations. Given the mean correlation coefficient R2 and the mean average absolute error (MAE) for two months, the best simulation for pH (R2=0.43 and MAE=0.95) and then respectively, for temperature (R2=0.56 and MAE=5.75), DO (R2=0.69 and MAE=1.75), BOD (R2=0.75 and MAE=5.78), NO3 (R2=0.39 and MAE=2.17), have been done and with the exception of nitrate, for other parameters, the Simulation in July was better than January. Results showed that measured and modeled values have a good agreement with each other and the simulation in these parameters has been done well. Gharehsou River assimilative physical and chemical parameters Qual2kw Science Q Pegah Hoseini verfasserin aut In Journal of Applied Sciences and Environmental Management Joint Coordination Centre of the World Bank assisted National Agricultural Research Programme (NARP), 2024 22(2018), 3 (DE-627)369084896 (DE-600)2118682-0 26591499 nnns volume:22 year:2018 number:3 https://doi.org/10.4314/jasem.v22i3.6 kostenfrei https://doaj.org/article/2209c563ad89458fb617a8abb2e44794 kostenfrei https://www.ajol.info/index.php/jasem/article/view/169354 kostenfrei https://doaj.org/toc/2659-1502 Journal toc kostenfrei https://doaj.org/toc/2659-1499 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 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_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2027 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4338 GBV_ILN_4367 GBV_ILN_4700 AR 22 2018 3 |
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Yaser Hoseini |
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Study the assimilation capacity of Gharehsou River using Qual2kw model |
abstract |
In this study, the assimilative capacity changes of the Gharehsou River has been studied. Gharehsou River, in the East of Ardabil province of Iran in its flow path, is the entrance and discharge domestic sewage, industrial wastewater and agricultural drainage and for determining of assimilative capacity of this river, first, the calibrated model of Qual2kw simulated parameters change of NO3, BOD, DO, pH and temperature for two months of January and July, and then it was compared with observational data in Aladizgeh, Samian, Anzob and ArbabKandi stations. Given the mean correlation coefficient R2 and the mean average absolute error (MAE) for two months, the best simulation for pH (R2=0.43 and MAE=0.95) and then respectively, for temperature (R2=0.56 and MAE=5.75), DO (R2=0.69 and MAE=1.75), BOD (R2=0.75 and MAE=5.78), NO3 (R2=0.39 and MAE=2.17), have been done and with the exception of nitrate, for other parameters, the Simulation in July was better than January. Results showed that measured and modeled values have a good agreement with each other and the simulation in these parameters has been done well. |
abstractGer |
In this study, the assimilative capacity changes of the Gharehsou River has been studied. Gharehsou River, in the East of Ardabil province of Iran in its flow path, is the entrance and discharge domestic sewage, industrial wastewater and agricultural drainage and for determining of assimilative capacity of this river, first, the calibrated model of Qual2kw simulated parameters change of NO3, BOD, DO, pH and temperature for two months of January and July, and then it was compared with observational data in Aladizgeh, Samian, Anzob and ArbabKandi stations. Given the mean correlation coefficient R2 and the mean average absolute error (MAE) for two months, the best simulation for pH (R2=0.43 and MAE=0.95) and then respectively, for temperature (R2=0.56 and MAE=5.75), DO (R2=0.69 and MAE=1.75), BOD (R2=0.75 and MAE=5.78), NO3 (R2=0.39 and MAE=2.17), have been done and with the exception of nitrate, for other parameters, the Simulation in July was better than January. Results showed that measured and modeled values have a good agreement with each other and the simulation in these parameters has been done well. |
abstract_unstemmed |
In this study, the assimilative capacity changes of the Gharehsou River has been studied. Gharehsou River, in the East of Ardabil province of Iran in its flow path, is the entrance and discharge domestic sewage, industrial wastewater and agricultural drainage and for determining of assimilative capacity of this river, first, the calibrated model of Qual2kw simulated parameters change of NO3, BOD, DO, pH and temperature for two months of January and July, and then it was compared with observational data in Aladizgeh, Samian, Anzob and ArbabKandi stations. Given the mean correlation coefficient R2 and the mean average absolute error (MAE) for two months, the best simulation for pH (R2=0.43 and MAE=0.95) and then respectively, for temperature (R2=0.56 and MAE=5.75), DO (R2=0.69 and MAE=1.75), BOD (R2=0.75 and MAE=5.78), NO3 (R2=0.39 and MAE=2.17), have been done and with the exception of nitrate, for other parameters, the Simulation in July was better than January. Results showed that measured and modeled values have a good agreement with each other and the simulation in these parameters has been done well. |
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Study the assimilation capacity of Gharehsou River using Qual2kw model |
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