Field evaluation of infiltration models in lawn soils

Abstract Water infiltration into soil is a critical process in designing irrigation systems, especially those used for the application of wastewater to land. Although some research was conducted to evaluate the performance of proposed infiltration models, few efforts were given to the study of infil...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Duan, Runbin [verfasserIn] Fedler, Clifford B. Borrelli, John

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2010

Schlagwörter:	Infiltration Rate Infiltration Model Natural Resource Conservation Service Mean Error Cumulative Infiltration

Anmerkung:	© Springer-Verlag 2010

Übergeordnetes Werk:	Enthalten in: Irrigation science - Berlin : Springer, 1978, 29(2010), 5 vom: 07. Dez., Seite 379-389
Übergeordnetes Werk:	volume:29 ; year:2010 ; number:5 ; day:07 ; month:12 ; pages:379-389

Links:	Volltext

DOI / URN:	10.1007/s00271-010-0248-y

Katalog-ID:	SPR003539784

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520			\|a Abstract Water infiltration into soil is a critical process in designing irrigation systems, especially those used for the application of wastewater to land. Although some research was conducted to evaluate the performance of proposed infiltration models, few efforts were given to the study of infiltration models specifically in lawn soils. This paper was to compare five existing classic infiltration models with field data collected from lawn soils, to estimate and assess those models’ parameters, and to evaluate their prediction ability for lawn irrigation systems. A field study was conducted in three lawn soils using a double-ring infiltrometer. The performances of infiltration models proposed by Philip, Kostiakov, Mezencev, the United States Department of Agriculture Natural Resources Conservation Service (originally the United States Soil Conservation Service), and Horton were investigated with consideration of sum of squared error, root mean square error, coefficient of determination, adjusted coefficient of determination, mean error, absolute value of mean error, model efficiency, and Willmott’s index of agreement. Mezencev model and Horton model performed better than the other three infiltration models. The research indicated that three-parameter models had the best description of the relationship between cumulative infiltration and time in the researched lawn soils.
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allfields	10.1007/s00271-010-0248-y doi (DE-627)SPR003539784 (SPR)s00271-010-0248-y-e DE-627 ger DE-627 rakwb eng Duan, Runbin verfasserin aut Field evaluation of infiltration models in lawn soils 2010 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag 2010 Abstract Water infiltration into soil is a critical process in designing irrigation systems, especially those used for the application of wastewater to land. Although some research was conducted to evaluate the performance of proposed infiltration models, few efforts were given to the study of infiltration models specifically in lawn soils. This paper was to compare five existing classic infiltration models with field data collected from lawn soils, to estimate and assess those models’ parameters, and to evaluate their prediction ability for lawn irrigation systems. A field study was conducted in three lawn soils using a double-ring infiltrometer. The performances of infiltration models proposed by Philip, Kostiakov, Mezencev, the United States Department of Agriculture Natural Resources Conservation Service (originally the United States Soil Conservation Service), and Horton were investigated with consideration of sum of squared error, root mean square error, coefficient of determination, adjusted coefficient of determination, mean error, absolute value of mean error, model efficiency, and Willmott’s index of agreement. Mezencev model and Horton model performed better than the other three infiltration models. The research indicated that three-parameter models had the best description of the relationship between cumulative infiltration and time in the researched lawn soils. Infiltration Rate (dpeaa)DE-He213 Infiltration Model (dpeaa)DE-He213 Natural Resource Conservation Service (dpeaa)DE-He213 Mean Error (dpeaa)DE-He213 Cumulative Infiltration (dpeaa)DE-He213 Fedler, Clifford B. aut Borrelli, John aut Enthalten in Irrigation science Berlin : Springer, 1978 29(2010), 5 vom: 07. Dez., Seite 379-389 (DE-627)271175362 (DE-600)1478936-X 1432-1319 nnns volume:29 year:2010 number:5 day:07 month:12 pages:379-389 https://dx.doi.org/10.1007/s00271-010-0248-y 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_206 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_2070 GBV_ILN_2086 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_2116 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_4012 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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 29 2010 5 07 12 379-389
spelling	10.1007/s00271-010-0248-y doi (DE-627)SPR003539784 (SPR)s00271-010-0248-y-e DE-627 ger DE-627 rakwb eng Duan, Runbin verfasserin aut Field evaluation of infiltration models in lawn soils 2010 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag 2010 Abstract Water infiltration into soil is a critical process in designing irrigation systems, especially those used for the application of wastewater to land. Although some research was conducted to evaluate the performance of proposed infiltration models, few efforts were given to the study of infiltration models specifically in lawn soils. This paper was to compare five existing classic infiltration models with field data collected from lawn soils, to estimate and assess those models’ parameters, and to evaluate their prediction ability for lawn irrigation systems. A field study was conducted in three lawn soils using a double-ring infiltrometer. The performances of infiltration models proposed by Philip, Kostiakov, Mezencev, the United States Department of Agriculture Natural Resources Conservation Service (originally the United States Soil Conservation Service), and Horton were investigated with consideration of sum of squared error, root mean square error, coefficient of determination, adjusted coefficient of determination, mean error, absolute value of mean error, model efficiency, and Willmott’s index of agreement. Mezencev model and Horton model performed better than the other three infiltration models. The research indicated that three-parameter models had the best description of the relationship between cumulative infiltration and time in the researched lawn soils. Infiltration Rate (dpeaa)DE-He213 Infiltration Model (dpeaa)DE-He213 Natural Resource Conservation Service (dpeaa)DE-He213 Mean Error (dpeaa)DE-He213 Cumulative Infiltration (dpeaa)DE-He213 Fedler, Clifford B. aut Borrelli, John aut Enthalten in Irrigation science Berlin : Springer, 1978 29(2010), 5 vom: 07. Dez., Seite 379-389 (DE-627)271175362 (DE-600)1478936-X 1432-1319 nnns volume:29 year:2010 number:5 day:07 month:12 pages:379-389 https://dx.doi.org/10.1007/s00271-010-0248-y 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_206 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_2070 GBV_ILN_2086 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_2116 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_4012 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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 29 2010 5 07 12 379-389
allfields_unstemmed	10.1007/s00271-010-0248-y doi (DE-627)SPR003539784 (SPR)s00271-010-0248-y-e DE-627 ger DE-627 rakwb eng Duan, Runbin verfasserin aut Field evaluation of infiltration models in lawn soils 2010 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag 2010 Abstract Water infiltration into soil is a critical process in designing irrigation systems, especially those used for the application of wastewater to land. Although some research was conducted to evaluate the performance of proposed infiltration models, few efforts were given to the study of infiltration models specifically in lawn soils. This paper was to compare five existing classic infiltration models with field data collected from lawn soils, to estimate and assess those models’ parameters, and to evaluate their prediction ability for lawn irrigation systems. A field study was conducted in three lawn soils using a double-ring infiltrometer. The performances of infiltration models proposed by Philip, Kostiakov, Mezencev, the United States Department of Agriculture Natural Resources Conservation Service (originally the United States Soil Conservation Service), and Horton were investigated with consideration of sum of squared error, root mean square error, coefficient of determination, adjusted coefficient of determination, mean error, absolute value of mean error, model efficiency, and Willmott’s index of agreement. Mezencev model and Horton model performed better than the other three infiltration models. The research indicated that three-parameter models had the best description of the relationship between cumulative infiltration and time in the researched lawn soils. Infiltration Rate (dpeaa)DE-He213 Infiltration Model (dpeaa)DE-He213 Natural Resource Conservation Service (dpeaa)DE-He213 Mean Error (dpeaa)DE-He213 Cumulative Infiltration (dpeaa)DE-He213 Fedler, Clifford B. aut Borrelli, John aut Enthalten in Irrigation science Berlin : Springer, 1978 29(2010), 5 vom: 07. Dez., Seite 379-389 (DE-627)271175362 (DE-600)1478936-X 1432-1319 nnns volume:29 year:2010 number:5 day:07 month:12 pages:379-389 https://dx.doi.org/10.1007/s00271-010-0248-y 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_206 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_2070 GBV_ILN_2086 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_2116 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_4012 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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 29 2010 5 07 12 379-389
allfieldsGer	10.1007/s00271-010-0248-y doi (DE-627)SPR003539784 (SPR)s00271-010-0248-y-e DE-627 ger DE-627 rakwb eng Duan, Runbin verfasserin aut Field evaluation of infiltration models in lawn soils 2010 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag 2010 Abstract Water infiltration into soil is a critical process in designing irrigation systems, especially those used for the application of wastewater to land. Although some research was conducted to evaluate the performance of proposed infiltration models, few efforts were given to the study of infiltration models specifically in lawn soils. This paper was to compare five existing classic infiltration models with field data collected from lawn soils, to estimate and assess those models’ parameters, and to evaluate their prediction ability for lawn irrigation systems. A field study was conducted in three lawn soils using a double-ring infiltrometer. The performances of infiltration models proposed by Philip, Kostiakov, Mezencev, the United States Department of Agriculture Natural Resources Conservation Service (originally the United States Soil Conservation Service), and Horton were investigated with consideration of sum of squared error, root mean square error, coefficient of determination, adjusted coefficient of determination, mean error, absolute value of mean error, model efficiency, and Willmott’s index of agreement. Mezencev model and Horton model performed better than the other three infiltration models. The research indicated that three-parameter models had the best description of the relationship between cumulative infiltration and time in the researched lawn soils. Infiltration Rate (dpeaa)DE-He213 Infiltration Model (dpeaa)DE-He213 Natural Resource Conservation Service (dpeaa)DE-He213 Mean Error (dpeaa)DE-He213 Cumulative Infiltration (dpeaa)DE-He213 Fedler, Clifford B. aut Borrelli, John aut Enthalten in Irrigation science Berlin : Springer, 1978 29(2010), 5 vom: 07. Dez., Seite 379-389 (DE-627)271175362 (DE-600)1478936-X 1432-1319 nnns volume:29 year:2010 number:5 day:07 month:12 pages:379-389 https://dx.doi.org/10.1007/s00271-010-0248-y 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_206 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_2070 GBV_ILN_2086 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_2116 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_4012 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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 29 2010 5 07 12 379-389
allfieldsSound	10.1007/s00271-010-0248-y doi (DE-627)SPR003539784 (SPR)s00271-010-0248-y-e DE-627 ger DE-627 rakwb eng Duan, Runbin verfasserin aut Field evaluation of infiltration models in lawn soils 2010 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag 2010 Abstract Water infiltration into soil is a critical process in designing irrigation systems, especially those used for the application of wastewater to land. Although some research was conducted to evaluate the performance of proposed infiltration models, few efforts were given to the study of infiltration models specifically in lawn soils. This paper was to compare five existing classic infiltration models with field data collected from lawn soils, to estimate and assess those models’ parameters, and to evaluate their prediction ability for lawn irrigation systems. A field study was conducted in three lawn soils using a double-ring infiltrometer. The performances of infiltration models proposed by Philip, Kostiakov, Mezencev, the United States Department of Agriculture Natural Resources Conservation Service (originally the United States Soil Conservation Service), and Horton were investigated with consideration of sum of squared error, root mean square error, coefficient of determination, adjusted coefficient of determination, mean error, absolute value of mean error, model efficiency, and Willmott’s index of agreement. Mezencev model and Horton model performed better than the other three infiltration models. The research indicated that three-parameter models had the best description of the relationship between cumulative infiltration and time in the researched lawn soils. Infiltration Rate (dpeaa)DE-He213 Infiltration Model (dpeaa)DE-He213 Natural Resource Conservation Service (dpeaa)DE-He213 Mean Error (dpeaa)DE-He213 Cumulative Infiltration (dpeaa)DE-He213 Fedler, Clifford B. aut Borrelli, John aut Enthalten in Irrigation science Berlin : Springer, 1978 29(2010), 5 vom: 07. Dez., Seite 379-389 (DE-627)271175362 (DE-600)1478936-X 1432-1319 nnns volume:29 year:2010 number:5 day:07 month:12 pages:379-389 https://dx.doi.org/10.1007/s00271-010-0248-y 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_206 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_2070 GBV_ILN_2086 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_2116 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_4012 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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 29 2010 5 07 12 379-389
language	English
source	Enthalten in Irrigation science 29(2010), 5 vom: 07. Dez., Seite 379-389 volume:29 year:2010 number:5 day:07 month:12 pages:379-389
sourceStr	Enthalten in Irrigation science 29(2010), 5 vom: 07. Dez., Seite 379-389 volume:29 year:2010 number:5 day:07 month:12 pages:379-389
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Infiltration Rate Infiltration Model Natural Resource Conservation Service Mean Error Cumulative Infiltration
isfreeaccess_bool	false
container_title	Irrigation science
authorswithroles_txt_mv	Duan, Runbin @@aut@@ Fedler, Clifford B. @@aut@@ Borrelli, John @@aut@@
publishDateDaySort_date	2010-12-07T00:00:00Z
hierarchy_top_id	271175362
id	SPR003539784
language_de	englisch
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author	Duan, Runbin
spellingShingle	Duan, Runbin misc Infiltration Rate misc Infiltration Model misc Natural Resource Conservation Service misc Mean Error misc Cumulative Infiltration Field evaluation of infiltration models in lawn soils
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topic_title	Field evaluation of infiltration models in lawn soils Infiltration Rate (dpeaa)DE-He213 Infiltration Model (dpeaa)DE-He213 Natural Resource Conservation Service (dpeaa)DE-He213 Mean Error (dpeaa)DE-He213 Cumulative Infiltration (dpeaa)DE-He213
topic	misc Infiltration Rate misc Infiltration Model misc Natural Resource Conservation Service misc Mean Error misc Cumulative Infiltration
topic_unstemmed	misc Infiltration Rate misc Infiltration Model misc Natural Resource Conservation Service misc Mean Error misc Cumulative Infiltration
topic_browse	misc Infiltration Rate misc Infiltration Model misc Natural Resource Conservation Service misc Mean Error misc Cumulative Infiltration
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title	Field evaluation of infiltration models in lawn soils
ctrlnum	(DE-627)SPR003539784 (SPR)s00271-010-0248-y-e
title_full	Field evaluation of infiltration models in lawn soils
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author_browse	Duan, Runbin Fedler, Clifford B. Borrelli, John
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author-letter	Duan, Runbin
doi_str_mv	10.1007/s00271-010-0248-y
title_sort	field evaluation of infiltration models in lawn soils
title_auth	Field evaluation of infiltration models in lawn soils
abstract	Abstract Water infiltration into soil is a critical process in designing irrigation systems, especially those used for the application of wastewater to land. Although some research was conducted to evaluate the performance of proposed infiltration models, few efforts were given to the study of infiltration models specifically in lawn soils. This paper was to compare five existing classic infiltration models with field data collected from lawn soils, to estimate and assess those models’ parameters, and to evaluate their prediction ability for lawn irrigation systems. A field study was conducted in three lawn soils using a double-ring infiltrometer. The performances of infiltration models proposed by Philip, Kostiakov, Mezencev, the United States Department of Agriculture Natural Resources Conservation Service (originally the United States Soil Conservation Service), and Horton were investigated with consideration of sum of squared error, root mean square error, coefficient of determination, adjusted coefficient of determination, mean error, absolute value of mean error, model efficiency, and Willmott’s index of agreement. Mezencev model and Horton model performed better than the other three infiltration models. The research indicated that three-parameter models had the best description of the relationship between cumulative infiltration and time in the researched lawn soils. © Springer-Verlag 2010
abstractGer	Abstract Water infiltration into soil is a critical process in designing irrigation systems, especially those used for the application of wastewater to land. Although some research was conducted to evaluate the performance of proposed infiltration models, few efforts were given to the study of infiltration models specifically in lawn soils. This paper was to compare five existing classic infiltration models with field data collected from lawn soils, to estimate and assess those models’ parameters, and to evaluate their prediction ability for lawn irrigation systems. A field study was conducted in three lawn soils using a double-ring infiltrometer. The performances of infiltration models proposed by Philip, Kostiakov, Mezencev, the United States Department of Agriculture Natural Resources Conservation Service (originally the United States Soil Conservation Service), and Horton were investigated with consideration of sum of squared error, root mean square error, coefficient of determination, adjusted coefficient of determination, mean error, absolute value of mean error, model efficiency, and Willmott’s index of agreement. Mezencev model and Horton model performed better than the other three infiltration models. The research indicated that three-parameter models had the best description of the relationship between cumulative infiltration and time in the researched lawn soils. © Springer-Verlag 2010
abstract_unstemmed	Abstract Water infiltration into soil is a critical process in designing irrigation systems, especially those used for the application of wastewater to land. Although some research was conducted to evaluate the performance of proposed infiltration models, few efforts were given to the study of infiltration models specifically in lawn soils. This paper was to compare five existing classic infiltration models with field data collected from lawn soils, to estimate and assess those models’ parameters, and to evaluate their prediction ability for lawn irrigation systems. A field study was conducted in three lawn soils using a double-ring infiltrometer. The performances of infiltration models proposed by Philip, Kostiakov, Mezencev, the United States Department of Agriculture Natural Resources Conservation Service (originally the United States Soil Conservation Service), and Horton were investigated with consideration of sum of squared error, root mean square error, coefficient of determination, adjusted coefficient of determination, mean error, absolute value of mean error, model efficiency, and Willmott’s index of agreement. Mezencev model and Horton model performed better than the other three infiltration models. The research indicated that three-parameter models had the best description of the relationship between cumulative infiltration and time in the researched lawn soils. © Springer-Verlag 2010
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container_issue	5
title_short	Field evaluation of infiltration models in lawn soils
url	https://dx.doi.org/10.1007/s00271-010-0248-y
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author2	Fedler, Clifford B. Borrelli, John
author2Str	Fedler, Clifford B. Borrelli, John
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doi_str	10.1007/s00271-010-0248-y
up_date	2024-07-03T20:07:18.362Z
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Field evaluation of infiltration models in lawn soils

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