High-efficiency and high-resolution numerical modeling for two-dimensional infiltration processes, accelerated by a graphics processing unit

Abstract Determining the dynamic flow of soil water is an important part of water resource management and evaluation of agricultural production, and the high-efficiency and high-resolution simulation of soil-water dynamics has become the focus of numerical model research. In this study, a numerical...
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Autor*in:	Hou, Jingming [verfasserIn] Pan, Zhanpeng Tong, Yu Li, Xinyi Zheng, Jian Kang, Yongde

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2022

Schlagwörter:	GPU-accelerated infiltration model Groundwater flow Soil water dynamics Irrigation Laboratory experiments

Anmerkung:	© The Author(s), under exclusive licence to International Association of Hydrogeologists 2022

Übergeordnetes Werk:	Enthalten in: Hydrogeology journal - Berlin : Springer, 1992, 30(2022), 2 vom: 02. Feb., Seite 637-651
Übergeordnetes Werk:	volume:30 ; year:2022 ; number:2 ; day:02 ; month:02 ; pages:637-651

Links:	Volltext

DOI / URN:	10.1007/s10040-021-02444-7

Katalog-ID:	SPR046487840

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520			\|a Abstract Determining the dynamic flow of soil water is an important part of water resource management and evaluation of agricultural production, and the high-efficiency and high-resolution simulation of soil-water dynamics has become the focus of numerical model research. In this study, a numerical model of groundwater flow, accelerated by a graphics processing unit (GPU) based on the compute unified device architecture (CUDA), is developed to investigate the efficiency and behavior of soil infiltration in three cases. Due to the advantages of the multithreaded operation of GPU programs, the model can reduce computation time 163-fold when the number of grids exceeds 250 × 250 under the same conditions, and acceleration is promoted with an increasing number of grids. To ensure the validity of the model, a reasonable maximum change in soil saturation should be used to control the change in time step to prevent model calculation instability. The developed model’s average absolute error and relative error do not exceed 0.94 and 0.31%, respectively, which are small compared with the results from HYDRUS. The GPU-accelerated infiltration model was found to simulate soil-water dynamics under hole irrigation accurately based on field-scale application (R2 > 0.9). The mass conservation analysis of two types of soil with alternating distribution shows that the model’s relative error is 1.47%, with an average absolute error of 0.00014 m. The GPU-accelerated infiltration model is, therefore, considered to be an effective tool due to its high efficiency and high resolution when solving two-dimensional water infiltration processes.
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650		4	\|a Irrigation \|7 (dpeaa)DE-He213
650		4	\|a Laboratory experiments \|7 (dpeaa)DE-He213
700	1		\|a Pan, Zhanpeng \|4 aut
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700	1		\|a Zheng, Jian \|4 aut
700	1		\|a Kang, Yongde \|4 aut
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allfields	10.1007/s10040-021-02444-7 doi (DE-627)SPR046487840 (SPR)s10040-021-02444-7-e DE-627 ger DE-627 rakwb eng Hou, Jingming verfasserin aut High-efficiency and high-resolution numerical modeling for two-dimensional infiltration processes, accelerated by a graphics processing unit 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to International Association of Hydrogeologists 2022 Abstract Determining the dynamic flow of soil water is an important part of water resource management and evaluation of agricultural production, and the high-efficiency and high-resolution simulation of soil-water dynamics has become the focus of numerical model research. In this study, a numerical model of groundwater flow, accelerated by a graphics processing unit (GPU) based on the compute unified device architecture (CUDA), is developed to investigate the efficiency and behavior of soil infiltration in three cases. Due to the advantages of the multithreaded operation of GPU programs, the model can reduce computation time 163-fold when the number of grids exceeds 250 × 250 under the same conditions, and acceleration is promoted with an increasing number of grids. To ensure the validity of the model, a reasonable maximum change in soil saturation should be used to control the change in time step to prevent model calculation instability. The developed model’s average absolute error and relative error do not exceed 0.94 and 0.31%, respectively, which are small compared with the results from HYDRUS. The GPU-accelerated infiltration model was found to simulate soil-water dynamics under hole irrigation accurately based on field-scale application (R2 > 0.9). The mass conservation analysis of two types of soil with alternating distribution shows that the model’s relative error is 1.47%, with an average absolute error of 0.00014 m. The GPU-accelerated infiltration model is, therefore, considered to be an effective tool due to its high efficiency and high resolution when solving two-dimensional water infiltration processes. GPU-accelerated infiltration model (dpeaa)DE-He213 Groundwater flow (dpeaa)DE-He213 Soil water dynamics (dpeaa)DE-He213 Irrigation (dpeaa)DE-He213 Laboratory experiments (dpeaa)DE-He213 Pan, Zhanpeng aut Tong, Yu aut Li, Xinyi aut Zheng, Jian aut Kang, Yongde aut Enthalten in Hydrogeology journal Berlin : Springer, 1992 30(2022), 2 vom: 02. Feb., Seite 637-651 (DE-627)300184158 (DE-600)1481470-5 1435-0157 nnns volume:30 year:2022 number:2 day:02 month:02 pages:637-651 https://dx.doi.org/10.1007/s10040-021-02444-7 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_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_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_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_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 30 2022 2 02 02 637-651
spelling	10.1007/s10040-021-02444-7 doi (DE-627)SPR046487840 (SPR)s10040-021-02444-7-e DE-627 ger DE-627 rakwb eng Hou, Jingming verfasserin aut High-efficiency and high-resolution numerical modeling for two-dimensional infiltration processes, accelerated by a graphics processing unit 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to International Association of Hydrogeologists 2022 Abstract Determining the dynamic flow of soil water is an important part of water resource management and evaluation of agricultural production, and the high-efficiency and high-resolution simulation of soil-water dynamics has become the focus of numerical model research. In this study, a numerical model of groundwater flow, accelerated by a graphics processing unit (GPU) based on the compute unified device architecture (CUDA), is developed to investigate the efficiency and behavior of soil infiltration in three cases. Due to the advantages of the multithreaded operation of GPU programs, the model can reduce computation time 163-fold when the number of grids exceeds 250 × 250 under the same conditions, and acceleration is promoted with an increasing number of grids. To ensure the validity of the model, a reasonable maximum change in soil saturation should be used to control the change in time step to prevent model calculation instability. The developed model’s average absolute error and relative error do not exceed 0.94 and 0.31%, respectively, which are small compared with the results from HYDRUS. The GPU-accelerated infiltration model was found to simulate soil-water dynamics under hole irrigation accurately based on field-scale application (R2 > 0.9). The mass conservation analysis of two types of soil with alternating distribution shows that the model’s relative error is 1.47%, with an average absolute error of 0.00014 m. The GPU-accelerated infiltration model is, therefore, considered to be an effective tool due to its high efficiency and high resolution when solving two-dimensional water infiltration processes. GPU-accelerated infiltration model (dpeaa)DE-He213 Groundwater flow (dpeaa)DE-He213 Soil water dynamics (dpeaa)DE-He213 Irrigation (dpeaa)DE-He213 Laboratory experiments (dpeaa)DE-He213 Pan, Zhanpeng aut Tong, Yu aut Li, Xinyi aut Zheng, Jian aut Kang, Yongde aut Enthalten in Hydrogeology journal Berlin : Springer, 1992 30(2022), 2 vom: 02. Feb., Seite 637-651 (DE-627)300184158 (DE-600)1481470-5 1435-0157 nnns volume:30 year:2022 number:2 day:02 month:02 pages:637-651 https://dx.doi.org/10.1007/s10040-021-02444-7 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_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_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_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_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 30 2022 2 02 02 637-651
allfields_unstemmed	10.1007/s10040-021-02444-7 doi (DE-627)SPR046487840 (SPR)s10040-021-02444-7-e DE-627 ger DE-627 rakwb eng Hou, Jingming verfasserin aut High-efficiency and high-resolution numerical modeling for two-dimensional infiltration processes, accelerated by a graphics processing unit 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to International Association of Hydrogeologists 2022 Abstract Determining the dynamic flow of soil water is an important part of water resource management and evaluation of agricultural production, and the high-efficiency and high-resolution simulation of soil-water dynamics has become the focus of numerical model research. In this study, a numerical model of groundwater flow, accelerated by a graphics processing unit (GPU) based on the compute unified device architecture (CUDA), is developed to investigate the efficiency and behavior of soil infiltration in three cases. Due to the advantages of the multithreaded operation of GPU programs, the model can reduce computation time 163-fold when the number of grids exceeds 250 × 250 under the same conditions, and acceleration is promoted with an increasing number of grids. To ensure the validity of the model, a reasonable maximum change in soil saturation should be used to control the change in time step to prevent model calculation instability. The developed model’s average absolute error and relative error do not exceed 0.94 and 0.31%, respectively, which are small compared with the results from HYDRUS. The GPU-accelerated infiltration model was found to simulate soil-water dynamics under hole irrigation accurately based on field-scale application (R2 > 0.9). The mass conservation analysis of two types of soil with alternating distribution shows that the model’s relative error is 1.47%, with an average absolute error of 0.00014 m. The GPU-accelerated infiltration model is, therefore, considered to be an effective tool due to its high efficiency and high resolution when solving two-dimensional water infiltration processes. GPU-accelerated infiltration model (dpeaa)DE-He213 Groundwater flow (dpeaa)DE-He213 Soil water dynamics (dpeaa)DE-He213 Irrigation (dpeaa)DE-He213 Laboratory experiments (dpeaa)DE-He213 Pan, Zhanpeng aut Tong, Yu aut Li, Xinyi aut Zheng, Jian aut Kang, Yongde aut Enthalten in Hydrogeology journal Berlin : Springer, 1992 30(2022), 2 vom: 02. Feb., Seite 637-651 (DE-627)300184158 (DE-600)1481470-5 1435-0157 nnns volume:30 year:2022 number:2 day:02 month:02 pages:637-651 https://dx.doi.org/10.1007/s10040-021-02444-7 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_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_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_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_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 30 2022 2 02 02 637-651
allfieldsGer	10.1007/s10040-021-02444-7 doi (DE-627)SPR046487840 (SPR)s10040-021-02444-7-e DE-627 ger DE-627 rakwb eng Hou, Jingming verfasserin aut High-efficiency and high-resolution numerical modeling for two-dimensional infiltration processes, accelerated by a graphics processing unit 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to International Association of Hydrogeologists 2022 Abstract Determining the dynamic flow of soil water is an important part of water resource management and evaluation of agricultural production, and the high-efficiency and high-resolution simulation of soil-water dynamics has become the focus of numerical model research. In this study, a numerical model of groundwater flow, accelerated by a graphics processing unit (GPU) based on the compute unified device architecture (CUDA), is developed to investigate the efficiency and behavior of soil infiltration in three cases. Due to the advantages of the multithreaded operation of GPU programs, the model can reduce computation time 163-fold when the number of grids exceeds 250 × 250 under the same conditions, and acceleration is promoted with an increasing number of grids. To ensure the validity of the model, a reasonable maximum change in soil saturation should be used to control the change in time step to prevent model calculation instability. The developed model’s average absolute error and relative error do not exceed 0.94 and 0.31%, respectively, which are small compared with the results from HYDRUS. The GPU-accelerated infiltration model was found to simulate soil-water dynamics under hole irrigation accurately based on field-scale application (R2 > 0.9). The mass conservation analysis of two types of soil with alternating distribution shows that the model’s relative error is 1.47%, with an average absolute error of 0.00014 m. The GPU-accelerated infiltration model is, therefore, considered to be an effective tool due to its high efficiency and high resolution when solving two-dimensional water infiltration processes. GPU-accelerated infiltration model (dpeaa)DE-He213 Groundwater flow (dpeaa)DE-He213 Soil water dynamics (dpeaa)DE-He213 Irrigation (dpeaa)DE-He213 Laboratory experiments (dpeaa)DE-He213 Pan, Zhanpeng aut Tong, Yu aut Li, Xinyi aut Zheng, Jian aut Kang, Yongde aut Enthalten in Hydrogeology journal Berlin : Springer, 1992 30(2022), 2 vom: 02. Feb., Seite 637-651 (DE-627)300184158 (DE-600)1481470-5 1435-0157 nnns volume:30 year:2022 number:2 day:02 month:02 pages:637-651 https://dx.doi.org/10.1007/s10040-021-02444-7 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_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_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_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_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 30 2022 2 02 02 637-651
allfieldsSound	10.1007/s10040-021-02444-7 doi (DE-627)SPR046487840 (SPR)s10040-021-02444-7-e DE-627 ger DE-627 rakwb eng Hou, Jingming verfasserin aut High-efficiency and high-resolution numerical modeling for two-dimensional infiltration processes, accelerated by a graphics processing unit 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to International Association of Hydrogeologists 2022 Abstract Determining the dynamic flow of soil water is an important part of water resource management and evaluation of agricultural production, and the high-efficiency and high-resolution simulation of soil-water dynamics has become the focus of numerical model research. In this study, a numerical model of groundwater flow, accelerated by a graphics processing unit (GPU) based on the compute unified device architecture (CUDA), is developed to investigate the efficiency and behavior of soil infiltration in three cases. Due to the advantages of the multithreaded operation of GPU programs, the model can reduce computation time 163-fold when the number of grids exceeds 250 × 250 under the same conditions, and acceleration is promoted with an increasing number of grids. To ensure the validity of the model, a reasonable maximum change in soil saturation should be used to control the change in time step to prevent model calculation instability. The developed model’s average absolute error and relative error do not exceed 0.94 and 0.31%, respectively, which are small compared with the results from HYDRUS. The GPU-accelerated infiltration model was found to simulate soil-water dynamics under hole irrigation accurately based on field-scale application (R2 > 0.9). The mass conservation analysis of two types of soil with alternating distribution shows that the model’s relative error is 1.47%, with an average absolute error of 0.00014 m. The GPU-accelerated infiltration model is, therefore, considered to be an effective tool due to its high efficiency and high resolution when solving two-dimensional water infiltration processes. GPU-accelerated infiltration model (dpeaa)DE-He213 Groundwater flow (dpeaa)DE-He213 Soil water dynamics (dpeaa)DE-He213 Irrigation (dpeaa)DE-He213 Laboratory experiments (dpeaa)DE-He213 Pan, Zhanpeng aut Tong, Yu aut Li, Xinyi aut Zheng, Jian aut Kang, Yongde aut Enthalten in Hydrogeology journal Berlin : Springer, 1992 30(2022), 2 vom: 02. Feb., Seite 637-651 (DE-627)300184158 (DE-600)1481470-5 1435-0157 nnns volume:30 year:2022 number:2 day:02 month:02 pages:637-651 https://dx.doi.org/10.1007/s10040-021-02444-7 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_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_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_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_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 30 2022 2 02 02 637-651
language	English
source	Enthalten in Hydrogeology journal 30(2022), 2 vom: 02. Feb., Seite 637-651 volume:30 year:2022 number:2 day:02 month:02 pages:637-651
sourceStr	Enthalten in Hydrogeology journal 30(2022), 2 vom: 02. Feb., Seite 637-651 volume:30 year:2022 number:2 day:02 month:02 pages:637-651
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	GPU-accelerated infiltration model Groundwater flow Soil water dynamics Irrigation Laboratory experiments
isfreeaccess_bool	false
container_title	Hydrogeology journal
authorswithroles_txt_mv	Hou, Jingming @@aut@@ Pan, Zhanpeng @@aut@@ Tong, Yu @@aut@@ Li, Xinyi @@aut@@ Zheng, Jian @@aut@@ Kang, Yongde @@aut@@
publishDateDaySort_date	2022-02-02T00:00:00Z
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id	SPR046487840
language_de	englisch
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author	Hou, Jingming
spellingShingle	Hou, Jingming misc GPU-accelerated infiltration model misc Groundwater flow misc Soil water dynamics misc Irrigation misc Laboratory experiments High-efficiency and high-resolution numerical modeling for two-dimensional infiltration processes, accelerated by a graphics processing unit
authorStr	Hou, Jingming
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topic_title	High-efficiency and high-resolution numerical modeling for two-dimensional infiltration processes, accelerated by a graphics processing unit GPU-accelerated infiltration model (dpeaa)DE-He213 Groundwater flow (dpeaa)DE-He213 Soil water dynamics (dpeaa)DE-He213 Irrigation (dpeaa)DE-He213 Laboratory experiments (dpeaa)DE-He213
topic	misc GPU-accelerated infiltration model misc Groundwater flow misc Soil water dynamics misc Irrigation misc Laboratory experiments
topic_unstemmed	misc GPU-accelerated infiltration model misc Groundwater flow misc Soil water dynamics misc Irrigation misc Laboratory experiments
topic_browse	misc GPU-accelerated infiltration model misc Groundwater flow misc Soil water dynamics misc Irrigation misc Laboratory experiments
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title	High-efficiency and high-resolution numerical modeling for two-dimensional infiltration processes, accelerated by a graphics processing unit
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title_full	High-efficiency and high-resolution numerical modeling for two-dimensional infiltration processes, accelerated by a graphics processing unit
author_sort	Hou, Jingming
journal	Hydrogeology journal
journalStr	Hydrogeology journal
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container_start_page	637
author_browse	Hou, Jingming Pan, Zhanpeng Tong, Yu Li, Xinyi Zheng, Jian Kang, Yongde
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author-letter	Hou, Jingming
doi_str_mv	10.1007/s10040-021-02444-7
title_sort	high-efficiency and high-resolution numerical modeling for two-dimensional infiltration processes, accelerated by a graphics processing unit
title_auth	High-efficiency and high-resolution numerical modeling for two-dimensional infiltration processes, accelerated by a graphics processing unit
abstract	Abstract Determining the dynamic flow of soil water is an important part of water resource management and evaluation of agricultural production, and the high-efficiency and high-resolution simulation of soil-water dynamics has become the focus of numerical model research. In this study, a numerical model of groundwater flow, accelerated by a graphics processing unit (GPU) based on the compute unified device architecture (CUDA), is developed to investigate the efficiency and behavior of soil infiltration in three cases. Due to the advantages of the multithreaded operation of GPU programs, the model can reduce computation time 163-fold when the number of grids exceeds 250 × 250 under the same conditions, and acceleration is promoted with an increasing number of grids. To ensure the validity of the model, a reasonable maximum change in soil saturation should be used to control the change in time step to prevent model calculation instability. The developed model’s average absolute error and relative error do not exceed 0.94 and 0.31%, respectively, which are small compared with the results from HYDRUS. The GPU-accelerated infiltration model was found to simulate soil-water dynamics under hole irrigation accurately based on field-scale application (R2 > 0.9). The mass conservation analysis of two types of soil with alternating distribution shows that the model’s relative error is 1.47%, with an average absolute error of 0.00014 m. The GPU-accelerated infiltration model is, therefore, considered to be an effective tool due to its high efficiency and high resolution when solving two-dimensional water infiltration processes. © The Author(s), under exclusive licence to International Association of Hydrogeologists 2022
abstractGer	Abstract Determining the dynamic flow of soil water is an important part of water resource management and evaluation of agricultural production, and the high-efficiency and high-resolution simulation of soil-water dynamics has become the focus of numerical model research. In this study, a numerical model of groundwater flow, accelerated by a graphics processing unit (GPU) based on the compute unified device architecture (CUDA), is developed to investigate the efficiency and behavior of soil infiltration in three cases. Due to the advantages of the multithreaded operation of GPU programs, the model can reduce computation time 163-fold when the number of grids exceeds 250 × 250 under the same conditions, and acceleration is promoted with an increasing number of grids. To ensure the validity of the model, a reasonable maximum change in soil saturation should be used to control the change in time step to prevent model calculation instability. The developed model’s average absolute error and relative error do not exceed 0.94 and 0.31%, respectively, which are small compared with the results from HYDRUS. The GPU-accelerated infiltration model was found to simulate soil-water dynamics under hole irrigation accurately based on field-scale application (R2 > 0.9). The mass conservation analysis of two types of soil with alternating distribution shows that the model’s relative error is 1.47%, with an average absolute error of 0.00014 m. The GPU-accelerated infiltration model is, therefore, considered to be an effective tool due to its high efficiency and high resolution when solving two-dimensional water infiltration processes. © The Author(s), under exclusive licence to International Association of Hydrogeologists 2022
abstract_unstemmed	Abstract Determining the dynamic flow of soil water is an important part of water resource management and evaluation of agricultural production, and the high-efficiency and high-resolution simulation of soil-water dynamics has become the focus of numerical model research. In this study, a numerical model of groundwater flow, accelerated by a graphics processing unit (GPU) based on the compute unified device architecture (CUDA), is developed to investigate the efficiency and behavior of soil infiltration in three cases. Due to the advantages of the multithreaded operation of GPU programs, the model can reduce computation time 163-fold when the number of grids exceeds 250 × 250 under the same conditions, and acceleration is promoted with an increasing number of grids. To ensure the validity of the model, a reasonable maximum change in soil saturation should be used to control the change in time step to prevent model calculation instability. The developed model’s average absolute error and relative error do not exceed 0.94 and 0.31%, respectively, which are small compared with the results from HYDRUS. The GPU-accelerated infiltration model was found to simulate soil-water dynamics under hole irrigation accurately based on field-scale application (R2 > 0.9). The mass conservation analysis of two types of soil with alternating distribution shows that the model’s relative error is 1.47%, with an average absolute error of 0.00014 m. The GPU-accelerated infiltration model is, therefore, considered to be an effective tool due to its high efficiency and high resolution when solving two-dimensional water infiltration processes. © The Author(s), under exclusive licence to International Association of Hydrogeologists 2022
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title_short	High-efficiency and high-resolution numerical modeling for two-dimensional infiltration processes, accelerated by a graphics processing unit
url	https://dx.doi.org/10.1007/s10040-021-02444-7
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author2	Pan, Zhanpeng Tong, Yu Li, Xinyi Zheng, Jian Kang, Yongde
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doi_str	10.1007/s10040-021-02444-7
up_date	2024-07-03T22:50:36.486Z
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fullrecord_marcxml	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">SPR046487840</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230507132426.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">220316s2022 xx \|\|\|\|\|o 00\| \|\|eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s10040-021-02444-7</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR046487840</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s10040-021-02444-7-e</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Hou, Jingming</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">High-efficiency and high-resolution numerical modeling for two-dimensional infiltration processes, accelerated by a graphics processing unit</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2022</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© The Author(s), under exclusive licence to International Association of Hydrogeologists 2022</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract Determining the dynamic flow of soil water is an important part of water resource management and evaluation of agricultural production, and the high-efficiency and high-resolution simulation of soil-water dynamics has become the focus of numerical model research. In this study, a numerical model of groundwater flow, accelerated by a graphics processing unit (GPU) based on the compute unified device architecture (CUDA), is developed to investigate the efficiency and behavior of soil infiltration in three cases. Due to the advantages of the multithreaded operation of GPU programs, the model can reduce computation time 163-fold when the number of grids exceeds 250 × 250 under the same conditions, and acceleration is promoted with an increasing number of grids. To ensure the validity of the model, a reasonable maximum change in soil saturation should be used to control the change in time step to prevent model calculation instability. The developed model’s average absolute error and relative error do not exceed 0.94 and 0.31%, respectively, which are small compared with the results from HYDRUS. The GPU-accelerated infiltration model was found to simulate soil-water dynamics under hole irrigation accurately based on field-scale application (R2 > 0.9). The mass conservation analysis of two types of soil with alternating distribution shows that the model’s relative error is 1.47%, with an average absolute error of 0.00014 m. 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High-efficiency and high-resolution numerical modeling for two-dimensional infiltration processes, accelerated by a graphics processing unit

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