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Master's Thesis from the year 2013 in the subject Engineering - System Science, , course: Master of Technology in Water Resources Engineering and Management, language: English, abstract: Soil hydraulic properties estimation has always been a challenging task forhydrologists and engineers as the methods to be implemented in the estimation arelaborious, time consuming and costly. The two major hydraulic properties of soil thatare required the most are soil water retention parameters and hydraulic conductivity.The main objective of this study is to find out the spatial structure of both…mehr

Produktbeschreibung
Master's Thesis from the year 2013 in the subject Engineering - System Science, , course: Master of Technology in Water Resources Engineering and Management, language: English, abstract: Soil hydraulic properties estimation has always been a challenging task forhydrologists and engineers as the methods to be implemented in the estimation arelaborious, time consuming and costly. The two major hydraulic properties of soil thatare required the most are soil water retention parameters and hydraulic conductivity.The main objective of this study is to find out the spatial structure of both thesehydraulic properties and study their variation in a part of Pavanje river basin. Thisstudy presents a methodology that can be adopted in estimation of soil hydraulicproperties over an entire region by using Geostatics particularly Kriging interpolationmethod. Soil basic properties are estimated at 5 different depths at 20 sites. Soilretention parameters are developed using a region specific pedotransfer function.Saturated hydraulic conductivity is estimated using permeameter. Semivariograms aredeveloped to find out the dissimilarity between the pairs of soil hydraulic propertiesvalues in a 2 dimensional surface. Surface maps of soil hydraulic properties aredeveloped using ArcGIS® software. The accuracy of prediction of Kriginginterpolation method is found out by comparing with two other interpolation methods.The surface maps prepared can be used by hydrologists, engineers and agriculturiststo improve their irrigation systems design, land scape modelling and precisionfarming etc.
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