Masterarbeit, 2013
87 Seiten
The primary objective of this study is to investigate the spatial structure of soil hydraulic properties, specifically soil water retention parameters and hydraulic conductivity, within a portion of the Pavanje river basin. The study aims to develop a methodology for estimating these properties across an entire region using geostatistical techniques, particularly Kriging interpolation. The study also seeks to assess the accuracy of Kriging interpolation by comparing it to other interpolation methods.
The introduction provides an overview of the study's context, including the significance of soil hydraulic properties in hydrological and engineering applications. It highlights the challenges associated with traditional estimation methods and outlines the study's objectives and scope.
The literature review chapter delves into existing research on soil hydraulic property determination, pedo-transfer functions, spatial variability of soil properties, geostatistical methods, and ordinary Kriging. It provides a theoretical foundation for the study's methodology.
The experimental setup and methodology chapter details the study area, soil sampling procedures, experimental analysis methods, and the use of geostatistical techniques for predicting soil hydraulic properties at unsampled locations. It describes the specific steps involved in creating surface maps of soil properties.
The main keywords and focus topics of this study include soil hydraulic properties, geostatistics, Kriging, semivariogram, surface maps, pedotransfer functions, spatial variation, and interpolation methods. The research emphasizes the application of geostatistical techniques, particularly Kriging, for estimating soil hydraulic properties and generating surface maps for various applications in hydrology, engineering, and agriculture.
The study focuses on two major hydraulic properties: soil water retention parameters and saturated hydraulic conductivity.
Ordinary Kriging is a geostatistical interpolation method used to predict soil hydraulic properties at unsampled locations based on data from sampled sites.
The research was conducted in a part of the Pavanje River Basin, where soil samples were collected at 20 different sites.
Pedotransfer functions are region-specific mathematical models used to estimate complex soil hydraulic properties from more easily measurable basic soil properties.
The accuracy of the Kriging interpolation was assessed by comparing its predictions with results from two other interpolation methods.
Hydrologists, engineers, and agriculturists can use these maps to improve irrigation system design, landscape modeling, and precision farming practices.
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