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The Quantitative Study Of Saline Soil Complex Permittivity

Posted on:2013-02-18Degree:MasterType:Thesis
Country:ChinaCandidate:Y Y XuFull Text:PDF
GTID:2213330374466424Subject:Geography
Abstract/Summary:PDF Full Text Request
Salinization is a kind of land degradation problems which caused by unreasonablehuman activities and vulnerable ecological environment influence each other in aridand semiarid region. Soil salinization is one of the main types desertification and landdegradation,It is the result of a certain natural conditions of climate, topography,hydrology, geology common to have an impact on soil water and saltmovement.Xinjiang is important oasis agricultural areas, but also the resources andenergy area of China.With the increase of population, expanding arable land and aserious shortage of water resources, leading to increasingly serious soil salinizationpose a serious threat to the sustainable development of oasis farming in Xinjiang.Thetraditional soil salinization situation through time-consuming, laborious field soilsurvey analysis, the measurement points less, poor representation, can not achievereal-time dynamic monitoring of a large area.Optical remote sensing whether thespectral response characteristics of visual interpretation or computer automaticclassification, should be dependent on saline soil, and simple to extract the spectralresponse of soil salinization, with certain limitations.So need to use other technicalmeans to carry out the study.As for microwave remote sensing, microwave in the band, and has a certainpenetrating, can reflect the surface layer of optical band cannot reflect thecharacteristics of certain depth of soil, and at the same time, microwave band thescattering of strength and soil water cut launch is closely related to the salt content.Soyou can use the microwave to complement the optical remote sensing monitoring ofsoil salinization, which provide a theoretical and experimental basis for the use ofmicrowave remote sensing monitoring of soil salinization.This paper, from the radarimages show effect one of the factors-Complex permittivity start to discuss thedielectric constant model to choose an improved model suitable for the study area,aquifer salinity soil, based on the model of soil volumetric water content,temperature,salt content and the relationship between the real and imaginary parts of complex permittivity, and use the field observation data for verification. Starting fromthe soil salinity, and further analyzed the soil eight ion to the complex dielectricconstant of influence.Studies have shown that:(1) for experimental areas of saline soil complexpermittivity model-the moisture content of the content of the soil semi-empiricalmixing dielectric model validation through field observation data, it can bettersimulate the complex permittivity of the soil of the study area.(2) model simulationvalues showed a strong response of the complex permittivity real part and a ordinaryresponse imaginary part,the temperature response of the complex permittivity have aturning point at5℃, the imaginary part of complex permittivity and salt contentresponse is strong, which happens to be more consistent with natural conditions andthe salinization of soils in arid areas, and provide a valuable reference for us to studythe soil dielectric properties.(3) at low frequencies through the model we get theinfluence between the complex permittivity and soil water content, temperature, saltcontent. After validation of the field measured data, show that both the analog valuesor measured values, the influence of moisture content on the complex permittivity,especially reflected in the real part of complex permittivity. The salt content in thewhole of the complex permittivity, but for the imaginary part.(4) analysis therelationship between eight major ionsand the imaginary part of complex permittivity,the Na~+, K~+, Cl~-and soil complex permittivity at the0.01level was significantlyrelated to the correlation0.641,0.623,0.641.
Keywords/Search Tags:Saline soil, Complex permittivity, Salt content, Eight ion, Backscatter coefficient
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