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ARS Home » Northeast Area » Beltsville, Maryland (BARC) » Beltsville Agricultural Research Center » Environmental Microbial & Food Safety Laboratory » Research » Publications at this Location » Publication #387913

Research Project: Design and Implementation of Monitoring and Modeling Methods to Evaluate Microbial Quality of Surface Water Sources Used for Irrigation

Location: Environmental Microbial & Food Safety Laboratory

Title: On shapes of cumulative infiltration curves

Author
item Pachepsky, Yakov
item KARAHAN, GÜLAY - CANKIRI KARATEKIN UNIVERSITY

Submitted to: Geoderma
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: 1/9/2022
Publication Date: 4/15/2022
Citation: Pachepsky, Y.A., Karahan, G. 2022. On shapes of cumulative infiltration curves. Geoderma. 412:115715. https://doi.org/10.1016/j.geoderma.2022.115715.
DOI: https://doi.org/10.1016/j.geoderma.2022.115715

Interpretive Summary: Water infiltration into soil is the major factor of fate and transport of chemical and microbial contaminants in the environment. Measurements of infiltration result in the cumulative infiltration curves depicting the dependences of infiltrating water amounts on time. These curves can be converted into parameters defining water storage and flow in soil. The conversion is commonly done under the assumption of soil homogeneity and rigidity. The objective of this work was to check the validity of that assumption using the most extensive international database on infiltration SWIG. We found that the assumption of heterogeneity and rigidity does not apply to more than 1/3 of experiments in the database. We determined 11 types of cumulative infiltration curves corresponding to different violations of the above assumption. The existence of a variety of curve types leads to specific requirements for the design of the infiltration measurements and the procedures for conversion of infiltration measurement results into the soil water storage and transmission parameters. Results of this work will be useful to the soil hydrologists in that they bring substantial improvements to estimates of the soil hydraulic properties from infiltration measurements.

Technical Abstract: Water infiltration into soil is the key process in the water cycle. Therefore, understanding and predicting infiltration is essential for water management. Measurements of cumulative infiltration are a common part of soil hydrological characterization. Such measurements provide the cumulative infiltration curve (CIC), i.e. dependence of the amount of infiltrated water on time. The classic, usually anticipated CIC shape is the concave increase section transitioning to the linear section. However, other shapes were also observed. The objectives of this work were (a) to use the unique large international infiltration database SWIG to define distinctly different types of CIC shapes, and (b) to see if basic soil properties, land use, and infiltration measurement method can indicate what type of non-classic CIC shapes can be expected in site- specific conditions. Examination of 5023 CIC led to the definition of 12 types of CIC shapes. About 1/3 of SWIG datasets had non-classic CIC shapes. The shape types were visually discernible in most cases. A technique was suggested to distinguish the shape types if needed. The classification tree divided all datasets with non-classic CIC shapes into most similar inside and most different from each other groups. The infiltration measurement method, the clay content, and the organic carbon content were the most influential predictors of the shape type in this classification. Several non-classic shapes were previously related to soil structure and hydrophobicity. The relatively large fraction of non-classic CIC indicates the need to design infiltration experiments accounting for possible non-classic CIC, and the need for the cautious application of common infiltration equations, most of which were developed to simulate classic CIC shapes.