caa a22 4500 445837853 CHVBK 20180317145335.0 cr unu---uuuuu 170323e20110901xx s 000 0 eng 10.1007/s00271-010-0248-y doi (NATIONALLICENCE)springer-10.1007/s00271-010-0248-y Field evaluation of infiltration models in lawn soils [Elektronische Daten] [Runbin Duan, Clifford Fedler, John Borrelli] 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 Duan Runbin Department of Civil and Environmental Engineering, Texas Tech University, 79409, Lubbock, TX, USA aut Fedler Clifford Department of Civil and Environmental Engineering, Texas Tech University, 79409, Lubbock, TX, USA aut Borrelli John Department of Civil and Environmental Engineering, Texas Tech University, 79409, Lubbock, TX, USA aut Irrigation Science Springer-Verlag 29/5(2011-09-01), 379-389 0342-7188 29:5<379 2011 29 271 https://doi.org/10.1007/s00271-010-0248-y text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s00271-010-0248-y text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Duan Runbin Department of Civil and Environmental Engineering, Texas Tech University, 79409, Lubbock, TX, USA aut NATIONALLICENCE 700 1- Fedler Clifford Department of Civil and Environmental Engineering, Texas Tech University, 79409, Lubbock, TX, USA aut NATIONALLICENCE 700 1- Borrelli John Department of Civil and Environmental Engineering, Texas Tech University, 79409, Lubbock, TX, USA aut NATIONALLICENCE 773 0- Irrigation Science Springer-Verlag 29/5(2011-09-01), 379-389 0342-7188 29:5<379 2011 29 271 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer