C-SWAT: The Soil and Water Assessment Tool with consolidated input files in alleviating computational burden of recursive simulations
The temptation to include model parameters and high resolution input data together with the availability of powerful optimization and uncertainty analysis algorithms has significantly enhanced the complexity of hydrologic and water quality modeling. However, the ability to take advantage of sophisti...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Yen, Haw [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2014transfer abstract |
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| Schlagwörter: |
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| Umfang: |
12 |
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| Übergeordnetes Werk: |
Enthalten in: Ultrafast acquirement of combined time and frequency spectroscopic data - 2012transfer abstract, an international journal devoted to the publication of papers on all aspects of geocomputation and to the distribution of computer programs and test data sets : an official journal of the International Association for Mathematical Geology, Amsterdam [u.a.] |
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| Übergeordnetes Werk: |
volume:72 ; year:2014 ; pages:221-232 ; extent:12 |
| Links: |
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| DOI / URN: |
10.1016/j.cageo.2014.07.017 |
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ELV033640831 |
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| 520 | |a The temptation to include model parameters and high resolution input data together with the availability of powerful optimization and uncertainty analysis algorithms has significantly enhanced the complexity of hydrologic and water quality modeling. However, the ability to take advantage of sophisticated models is hindered in those models that need a large number of input files, such as the Soil and Water Assessment Tool (SWAT). The process of reading large amount of input files containing spatial and computational units used in SWAT is cumbersome and time-consuming. In this study, the Consolidated SWAT (C-SWAT) was developed to consolidate 13 groups of SWAT input files from subbasin and Hydrologic Response Unit (HRU) levels into a single file for each category. The utility of the consolidated inputs of model is exhibited for auto-calibration of the Little Washita River Basin (611km2). The results of this study show that the runtime of the SWAT model could be reduced considerably with consolidating input files. The advantage of the proposed method was further promoted with application of the optimization method using a parallel computing technique. The concept is transferrable to other models that store input data in hundreds or thousands of files. | ||
| 520 | |a The temptation to include model parameters and high resolution input data together with the availability of powerful optimization and uncertainty analysis algorithms has significantly enhanced the complexity of hydrologic and water quality modeling. However, the ability to take advantage of sophisticated models is hindered in those models that need a large number of input files, such as the Soil and Water Assessment Tool (SWAT). The process of reading large amount of input files containing spatial and computational units used in SWAT is cumbersome and time-consuming. In this study, the Consolidated SWAT (C-SWAT) was developed to consolidate 13 groups of SWAT input files from subbasin and Hydrologic Response Unit (HRU) levels into a single file for each category. The utility of the consolidated inputs of model is exhibited for auto-calibration of the Little Washita River Basin (611km2). The results of this study show that the runtime of the SWAT model could be reduced considerably with consolidating input files. The advantage of the proposed method was further promoted with application of the optimization method using a parallel computing technique. The concept is transferrable to other models that store input data in hundreds or thousands of files. | ||
| 650 | 7 | |a SWAT |2 Elsevier | |
| 650 | 7 | |a Consolidated inputs |2 Elsevier | |
| 650 | 7 | |a Shuffled complex evolution |2 Elsevier | |
| 650 | 7 | |a Parallel processing |2 Elsevier | |
| 650 | 7 | |a Auto-calibration |2 Elsevier | |
| 700 | 1 | |a Ahmadi, Mehdi |4 oth | |
| 700 | 1 | |a White, Michael J. |4 oth | |
| 700 | 1 | |a Wang, Xiuying |4 oth | |
| 700 | 1 | |a Arnold, Jeffrey G. |4 oth | |
| 773 | 0 | 8 | |i Enthalten in |n Elsevier Science |t Ultrafast acquirement of combined time and frequency spectroscopic data |d 2012transfer abstract |d an international journal devoted to the publication of papers on all aspects of geocomputation and to the distribution of computer programs and test data sets : an official journal of the International Association for Mathematical Geology |g Amsterdam [u.a.] |w (DE-627)ELV021566380 |
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10.1016/j.cageo.2014.07.017 doi GBVA2014002000007.pica (DE-627)ELV033640831 (ELSEVIER)S0098-3004(14)00183-6 DE-627 ger DE-627 rakwb eng 550 004 550 DE-600 004 DE-600 530 VZ 580 VZ AFRIKA DE-30 fid BIODIV DE-30 fid 42.38 bkl Yen, Haw verfasserin aut C-SWAT: The Soil and Water Assessment Tool with consolidated input files in alleviating computational burden of recursive simulations 2014transfer abstract 12 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The temptation to include model parameters and high resolution input data together with the availability of powerful optimization and uncertainty analysis algorithms has significantly enhanced the complexity of hydrologic and water quality modeling. However, the ability to take advantage of sophisticated models is hindered in those models that need a large number of input files, such as the Soil and Water Assessment Tool (SWAT). The process of reading large amount of input files containing spatial and computational units used in SWAT is cumbersome and time-consuming. In this study, the Consolidated SWAT (C-SWAT) was developed to consolidate 13 groups of SWAT input files from subbasin and Hydrologic Response Unit (HRU) levels into a single file for each category. The utility of the consolidated inputs of model is exhibited for auto-calibration of the Little Washita River Basin (611km2). The results of this study show that the runtime of the SWAT model could be reduced considerably with consolidating input files. The advantage of the proposed method was further promoted with application of the optimization method using a parallel computing technique. The concept is transferrable to other models that store input data in hundreds or thousands of files. The temptation to include model parameters and high resolution input data together with the availability of powerful optimization and uncertainty analysis algorithms has significantly enhanced the complexity of hydrologic and water quality modeling. However, the ability to take advantage of sophisticated models is hindered in those models that need a large number of input files, such as the Soil and Water Assessment Tool (SWAT). The process of reading large amount of input files containing spatial and computational units used in SWAT is cumbersome and time-consuming. In this study, the Consolidated SWAT (C-SWAT) was developed to consolidate 13 groups of SWAT input files from subbasin and Hydrologic Response Unit (HRU) levels into a single file for each category. The utility of the consolidated inputs of model is exhibited for auto-calibration of the Little Washita River Basin (611km2). The results of this study show that the runtime of the SWAT model could be reduced considerably with consolidating input files. The advantage of the proposed method was further promoted with application of the optimization method using a parallel computing technique. The concept is transferrable to other models that store input data in hundreds or thousands of files. SWAT Elsevier Consolidated inputs Elsevier Shuffled complex evolution Elsevier Parallel processing Elsevier Auto-calibration Elsevier Ahmadi, Mehdi oth White, Michael J. oth Wang, Xiuying oth Arnold, Jeffrey G. oth Enthalten in Elsevier Science Ultrafast acquirement of combined time and frequency spectroscopic data 2012transfer abstract an international journal devoted to the publication of papers on all aspects of geocomputation and to the distribution of computer programs and test data sets : an official journal of the International Association for Mathematical Geology Amsterdam [u.a.] (DE-627)ELV021566380 volume:72 year:2014 pages:221-232 extent:12 https://doi.org/10.1016/j.cageo.2014.07.017 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-AFRIKA FID-BIODIV GBV_ILN_21 GBV_ILN_22 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_130 42.38 Botanik: Allgemeines VZ AR 72 2014 221-232 12 045F 550 |
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10.1016/j.cageo.2014.07.017 doi GBVA2014002000007.pica (DE-627)ELV033640831 (ELSEVIER)S0098-3004(14)00183-6 DE-627 ger DE-627 rakwb eng 550 004 550 DE-600 004 DE-600 530 VZ 580 VZ AFRIKA DE-30 fid BIODIV DE-30 fid 42.38 bkl Yen, Haw verfasserin aut C-SWAT: The Soil and Water Assessment Tool with consolidated input files in alleviating computational burden of recursive simulations 2014transfer abstract 12 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The temptation to include model parameters and high resolution input data together with the availability of powerful optimization and uncertainty analysis algorithms has significantly enhanced the complexity of hydrologic and water quality modeling. However, the ability to take advantage of sophisticated models is hindered in those models that need a large number of input files, such as the Soil and Water Assessment Tool (SWAT). The process of reading large amount of input files containing spatial and computational units used in SWAT is cumbersome and time-consuming. In this study, the Consolidated SWAT (C-SWAT) was developed to consolidate 13 groups of SWAT input files from subbasin and Hydrologic Response Unit (HRU) levels into a single file for each category. The utility of the consolidated inputs of model is exhibited for auto-calibration of the Little Washita River Basin (611km2). The results of this study show that the runtime of the SWAT model could be reduced considerably with consolidating input files. The advantage of the proposed method was further promoted with application of the optimization method using a parallel computing technique. The concept is transferrable to other models that store input data in hundreds or thousands of files. The temptation to include model parameters and high resolution input data together with the availability of powerful optimization and uncertainty analysis algorithms has significantly enhanced the complexity of hydrologic and water quality modeling. However, the ability to take advantage of sophisticated models is hindered in those models that need a large number of input files, such as the Soil and Water Assessment Tool (SWAT). The process of reading large amount of input files containing spatial and computational units used in SWAT is cumbersome and time-consuming. In this study, the Consolidated SWAT (C-SWAT) was developed to consolidate 13 groups of SWAT input files from subbasin and Hydrologic Response Unit (HRU) levels into a single file for each category. The utility of the consolidated inputs of model is exhibited for auto-calibration of the Little Washita River Basin (611km2). The results of this study show that the runtime of the SWAT model could be reduced considerably with consolidating input files. The advantage of the proposed method was further promoted with application of the optimization method using a parallel computing technique. The concept is transferrable to other models that store input data in hundreds or thousands of files. SWAT Elsevier Consolidated inputs Elsevier Shuffled complex evolution Elsevier Parallel processing Elsevier Auto-calibration Elsevier Ahmadi, Mehdi oth White, Michael J. oth Wang, Xiuying oth Arnold, Jeffrey G. oth Enthalten in Elsevier Science Ultrafast acquirement of combined time and frequency spectroscopic data 2012transfer abstract an international journal devoted to the publication of papers on all aspects of geocomputation and to the distribution of computer programs and test data sets : an official journal of the International Association for Mathematical Geology Amsterdam [u.a.] (DE-627)ELV021566380 volume:72 year:2014 pages:221-232 extent:12 https://doi.org/10.1016/j.cageo.2014.07.017 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-AFRIKA FID-BIODIV GBV_ILN_21 GBV_ILN_22 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_130 42.38 Botanik: Allgemeines VZ AR 72 2014 221-232 12 045F 550 |
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10.1016/j.cageo.2014.07.017 doi GBVA2014002000007.pica (DE-627)ELV033640831 (ELSEVIER)S0098-3004(14)00183-6 DE-627 ger DE-627 rakwb eng 550 004 550 DE-600 004 DE-600 530 VZ 580 VZ AFRIKA DE-30 fid BIODIV DE-30 fid 42.38 bkl Yen, Haw verfasserin aut C-SWAT: The Soil and Water Assessment Tool with consolidated input files in alleviating computational burden of recursive simulations 2014transfer abstract 12 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The temptation to include model parameters and high resolution input data together with the availability of powerful optimization and uncertainty analysis algorithms has significantly enhanced the complexity of hydrologic and water quality modeling. However, the ability to take advantage of sophisticated models is hindered in those models that need a large number of input files, such as the Soil and Water Assessment Tool (SWAT). The process of reading large amount of input files containing spatial and computational units used in SWAT is cumbersome and time-consuming. In this study, the Consolidated SWAT (C-SWAT) was developed to consolidate 13 groups of SWAT input files from subbasin and Hydrologic Response Unit (HRU) levels into a single file for each category. The utility of the consolidated inputs of model is exhibited for auto-calibration of the Little Washita River Basin (611km2). The results of this study show that the runtime of the SWAT model could be reduced considerably with consolidating input files. The advantage of the proposed method was further promoted with application of the optimization method using a parallel computing technique. The concept is transferrable to other models that store input data in hundreds or thousands of files. The temptation to include model parameters and high resolution input data together with the availability of powerful optimization and uncertainty analysis algorithms has significantly enhanced the complexity of hydrologic and water quality modeling. However, the ability to take advantage of sophisticated models is hindered in those models that need a large number of input files, such as the Soil and Water Assessment Tool (SWAT). The process of reading large amount of input files containing spatial and computational units used in SWAT is cumbersome and time-consuming. In this study, the Consolidated SWAT (C-SWAT) was developed to consolidate 13 groups of SWAT input files from subbasin and Hydrologic Response Unit (HRU) levels into a single file for each category. The utility of the consolidated inputs of model is exhibited for auto-calibration of the Little Washita River Basin (611km2). The results of this study show that the runtime of the SWAT model could be reduced considerably with consolidating input files. The advantage of the proposed method was further promoted with application of the optimization method using a parallel computing technique. The concept is transferrable to other models that store input data in hundreds or thousands of files. SWAT Elsevier Consolidated inputs Elsevier Shuffled complex evolution Elsevier Parallel processing Elsevier Auto-calibration Elsevier Ahmadi, Mehdi oth White, Michael J. oth Wang, Xiuying oth Arnold, Jeffrey G. oth Enthalten in Elsevier Science Ultrafast acquirement of combined time and frequency spectroscopic data 2012transfer abstract an international journal devoted to the publication of papers on all aspects of geocomputation and to the distribution of computer programs and test data sets : an official journal of the International Association for Mathematical Geology Amsterdam [u.a.] (DE-627)ELV021566380 volume:72 year:2014 pages:221-232 extent:12 https://doi.org/10.1016/j.cageo.2014.07.017 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-AFRIKA FID-BIODIV GBV_ILN_21 GBV_ILN_22 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_130 42.38 Botanik: Allgemeines VZ AR 72 2014 221-232 12 045F 550 |
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10.1016/j.cageo.2014.07.017 doi GBVA2014002000007.pica (DE-627)ELV033640831 (ELSEVIER)S0098-3004(14)00183-6 DE-627 ger DE-627 rakwb eng 550 004 550 DE-600 004 DE-600 530 VZ 580 VZ AFRIKA DE-30 fid BIODIV DE-30 fid 42.38 bkl Yen, Haw verfasserin aut C-SWAT: The Soil and Water Assessment Tool with consolidated input files in alleviating computational burden of recursive simulations 2014transfer abstract 12 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The temptation to include model parameters and high resolution input data together with the availability of powerful optimization and uncertainty analysis algorithms has significantly enhanced the complexity of hydrologic and water quality modeling. However, the ability to take advantage of sophisticated models is hindered in those models that need a large number of input files, such as the Soil and Water Assessment Tool (SWAT). The process of reading large amount of input files containing spatial and computational units used in SWAT is cumbersome and time-consuming. In this study, the Consolidated SWAT (C-SWAT) was developed to consolidate 13 groups of SWAT input files from subbasin and Hydrologic Response Unit (HRU) levels into a single file for each category. The utility of the consolidated inputs of model is exhibited for auto-calibration of the Little Washita River Basin (611km2). The results of this study show that the runtime of the SWAT model could be reduced considerably with consolidating input files. The advantage of the proposed method was further promoted with application of the optimization method using a parallel computing technique. The concept is transferrable to other models that store input data in hundreds or thousands of files. The temptation to include model parameters and high resolution input data together with the availability of powerful optimization and uncertainty analysis algorithms has significantly enhanced the complexity of hydrologic and water quality modeling. However, the ability to take advantage of sophisticated models is hindered in those models that need a large number of input files, such as the Soil and Water Assessment Tool (SWAT). The process of reading large amount of input files containing spatial and computational units used in SWAT is cumbersome and time-consuming. In this study, the Consolidated SWAT (C-SWAT) was developed to consolidate 13 groups of SWAT input files from subbasin and Hydrologic Response Unit (HRU) levels into a single file for each category. The utility of the consolidated inputs of model is exhibited for auto-calibration of the Little Washita River Basin (611km2). The results of this study show that the runtime of the SWAT model could be reduced considerably with consolidating input files. The advantage of the proposed method was further promoted with application of the optimization method using a parallel computing technique. The concept is transferrable to other models that store input data in hundreds or thousands of files. SWAT Elsevier Consolidated inputs Elsevier Shuffled complex evolution Elsevier Parallel processing Elsevier Auto-calibration Elsevier Ahmadi, Mehdi oth White, Michael J. oth Wang, Xiuying oth Arnold, Jeffrey G. oth Enthalten in Elsevier Science Ultrafast acquirement of combined time and frequency spectroscopic data 2012transfer abstract an international journal devoted to the publication of papers on all aspects of geocomputation and to the distribution of computer programs and test data sets : an official journal of the International Association for Mathematical Geology Amsterdam [u.a.] (DE-627)ELV021566380 volume:72 year:2014 pages:221-232 extent:12 https://doi.org/10.1016/j.cageo.2014.07.017 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-AFRIKA FID-BIODIV GBV_ILN_21 GBV_ILN_22 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_130 42.38 Botanik: Allgemeines VZ AR 72 2014 221-232 12 045F 550 |
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10.1016/j.cageo.2014.07.017 doi GBVA2014002000007.pica (DE-627)ELV033640831 (ELSEVIER)S0098-3004(14)00183-6 DE-627 ger DE-627 rakwb eng 550 004 550 DE-600 004 DE-600 530 VZ 580 VZ AFRIKA DE-30 fid BIODIV DE-30 fid 42.38 bkl Yen, Haw verfasserin aut C-SWAT: The Soil and Water Assessment Tool with consolidated input files in alleviating computational burden of recursive simulations 2014transfer abstract 12 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The temptation to include model parameters and high resolution input data together with the availability of powerful optimization and uncertainty analysis algorithms has significantly enhanced the complexity of hydrologic and water quality modeling. However, the ability to take advantage of sophisticated models is hindered in those models that need a large number of input files, such as the Soil and Water Assessment Tool (SWAT). The process of reading large amount of input files containing spatial and computational units used in SWAT is cumbersome and time-consuming. In this study, the Consolidated SWAT (C-SWAT) was developed to consolidate 13 groups of SWAT input files from subbasin and Hydrologic Response Unit (HRU) levels into a single file for each category. The utility of the consolidated inputs of model is exhibited for auto-calibration of the Little Washita River Basin (611km2). The results of this study show that the runtime of the SWAT model could be reduced considerably with consolidating input files. The advantage of the proposed method was further promoted with application of the optimization method using a parallel computing technique. The concept is transferrable to other models that store input data in hundreds or thousands of files. The temptation to include model parameters and high resolution input data together with the availability of powerful optimization and uncertainty analysis algorithms has significantly enhanced the complexity of hydrologic and water quality modeling. However, the ability to take advantage of sophisticated models is hindered in those models that need a large number of input files, such as the Soil and Water Assessment Tool (SWAT). The process of reading large amount of input files containing spatial and computational units used in SWAT is cumbersome and time-consuming. In this study, the Consolidated SWAT (C-SWAT) was developed to consolidate 13 groups of SWAT input files from subbasin and Hydrologic Response Unit (HRU) levels into a single file for each category. The utility of the consolidated inputs of model is exhibited for auto-calibration of the Little Washita River Basin (611km2). The results of this study show that the runtime of the SWAT model could be reduced considerably with consolidating input files. The advantage of the proposed method was further promoted with application of the optimization method using a parallel computing technique. The concept is transferrable to other models that store input data in hundreds or thousands of files. SWAT Elsevier Consolidated inputs Elsevier Shuffled complex evolution Elsevier Parallel processing Elsevier Auto-calibration Elsevier Ahmadi, Mehdi oth White, Michael J. oth Wang, Xiuying oth Arnold, Jeffrey G. oth Enthalten in Elsevier Science Ultrafast acquirement of combined time and frequency spectroscopic data 2012transfer abstract an international journal devoted to the publication of papers on all aspects of geocomputation and to the distribution of computer programs and test data sets : an official journal of the International Association for Mathematical Geology Amsterdam [u.a.] (DE-627)ELV021566380 volume:72 year:2014 pages:221-232 extent:12 https://doi.org/10.1016/j.cageo.2014.07.017 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-AFRIKA FID-BIODIV GBV_ILN_21 GBV_ILN_22 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_130 42.38 Botanik: Allgemeines VZ AR 72 2014 221-232 12 045F 550 |
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C-SWAT: The Soil and Water Assessment Tool with consolidated input files in alleviating computational burden of recursive simulations |
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The temptation to include model parameters and high resolution input data together with the availability of powerful optimization and uncertainty analysis algorithms has significantly enhanced the complexity of hydrologic and water quality modeling. However, the ability to take advantage of sophisticated models is hindered in those models that need a large number of input files, such as the Soil and Water Assessment Tool (SWAT). The process of reading large amount of input files containing spatial and computational units used in SWAT is cumbersome and time-consuming. In this study, the Consolidated SWAT (C-SWAT) was developed to consolidate 13 groups of SWAT input files from subbasin and Hydrologic Response Unit (HRU) levels into a single file for each category. The utility of the consolidated inputs of model is exhibited for auto-calibration of the Little Washita River Basin (611km2). The results of this study show that the runtime of the SWAT model could be reduced considerably with consolidating input files. The advantage of the proposed method was further promoted with application of the optimization method using a parallel computing technique. The concept is transferrable to other models that store input data in hundreds or thousands of files. |
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The temptation to include model parameters and high resolution input data together with the availability of powerful optimization and uncertainty analysis algorithms has significantly enhanced the complexity of hydrologic and water quality modeling. However, the ability to take advantage of sophisticated models is hindered in those models that need a large number of input files, such as the Soil and Water Assessment Tool (SWAT). The process of reading large amount of input files containing spatial and computational units used in SWAT is cumbersome and time-consuming. In this study, the Consolidated SWAT (C-SWAT) was developed to consolidate 13 groups of SWAT input files from subbasin and Hydrologic Response Unit (HRU) levels into a single file for each category. The utility of the consolidated inputs of model is exhibited for auto-calibration of the Little Washita River Basin (611km2). The results of this study show that the runtime of the SWAT model could be reduced considerably with consolidating input files. The advantage of the proposed method was further promoted with application of the optimization method using a parallel computing technique. The concept is transferrable to other models that store input data in hundreds or thousands of files. |
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The temptation to include model parameters and high resolution input data together with the availability of powerful optimization and uncertainty analysis algorithms has significantly enhanced the complexity of hydrologic and water quality modeling. However, the ability to take advantage of sophisticated models is hindered in those models that need a large number of input files, such as the Soil and Water Assessment Tool (SWAT). The process of reading large amount of input files containing spatial and computational units used in SWAT is cumbersome and time-consuming. In this study, the Consolidated SWAT (C-SWAT) was developed to consolidate 13 groups of SWAT input files from subbasin and Hydrologic Response Unit (HRU) levels into a single file for each category. The utility of the consolidated inputs of model is exhibited for auto-calibration of the Little Washita River Basin (611km2). The results of this study show that the runtime of the SWAT model could be reduced considerably with consolidating input files. The advantage of the proposed method was further promoted with application of the optimization method using a parallel computing technique. The concept is transferrable to other models that store input data in hundreds or thousands of files. |
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The concept is transferrable to other models that store input data in hundreds or thousands of files.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">The temptation to include model parameters and high resolution input data together with the availability of powerful optimization and uncertainty analysis algorithms has significantly enhanced the complexity of hydrologic and water quality modeling. However, the ability to take advantage of sophisticated models is hindered in those models that need a large number of input files, such as the Soil and Water Assessment Tool (SWAT). The process of reading large amount of input files containing spatial and computational units used in SWAT is cumbersome and time-consuming. In this study, the Consolidated SWAT (C-SWAT) was developed to consolidate 13 groups of SWAT input files from subbasin and Hydrologic Response Unit (HRU) levels into a single file for each category. The utility of the consolidated inputs of model is exhibited for auto-calibration of the Little Washita River Basin (611km2). The results of this study show that the runtime of the SWAT model could be reduced considerably with consolidating input files. The advantage of the proposed method was further promoted with application of the optimization method using a parallel computing technique. The concept is transferrable to other models that store input data in hundreds or thousands of files.</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">SWAT</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Consolidated inputs</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Shuffled complex evolution</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Parallel processing</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Auto-calibration</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Ahmadi, Mehdi</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">White, Michael J.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Wang, Xiuying</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Arnold, Jeffrey G.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="n">Elsevier Science</subfield><subfield code="t">Ultrafast acquirement of combined time and frequency spectroscopic data</subfield><subfield code="d">2012transfer abstract</subfield><subfield code="d">an international journal devoted to the publication of papers on all aspects of geocomputation and to the distribution of computer programs and test data sets : an official journal of the International Association for Mathematical Geology</subfield><subfield code="g">Amsterdam [u.a.]</subfield><subfield code="w">(DE-627)ELV021566380</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:72</subfield><subfield code="g">year:2014</subfield><subfield code="g">pages:221-232</subfield><subfield code="g">extent:12</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.cageo.2014.07.017</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ELV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">FID-AFRIKA</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">FID-BIODIV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_21</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_31</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_39</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_130</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">42.38</subfield><subfield code="j">Botanik: Allgemeines</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">72</subfield><subfield code="j">2014</subfield><subfield code="h">221-232</subfield><subfield code="g">12</subfield></datafield><datafield tag="953" ind1=" " ind2=" "><subfield code="2">045F</subfield><subfield code="a">550</subfield></datafield></record></collection>
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