Research Of Variation Of Soil Water&Salt And Its Influenced Parameters Derivation Of Remote Sensing In Arid Land

Soil salinization is the spatial allocation of water salt unreasonable, which isrefers to the original in the underlying soil or groundwater salt, after the migrationmovement in the soil gradually accumulate and form a soil degradation phenomenon.Soil salinization is a worldwide problem, to the agricultural production development,has a great deal of harm. Soil water and salt migration regularity of the present studywas to explore the mechanism of the occurrence and development of soil salinization,qualitative and quantitative analysis to the change of soil salinization, of the soilsalinization forecast research provide a solid theoretical basis. In this paper, keriyariver basin is taken as the study area, according to the research area of24have beensupervised real-time monitoring data of underground water Wells, to study the spatialand differential laws of area of the underground water level; Quantitative variationcharacteristics of water and salt16testing point, build the estimation model of soilsalt; Using remote sensing technology to estimate the evaporation in the study area.Through the research, this paper gets the following conclusion.(1) years curve of soil water, salt, research has shown that before in May, withthe increase of soil depth, soil volumetric water content and electrical conductivity isa trend of increase. In may, after the surface (0~20cm) of soil moisture content andthe conductivity is higher than the second layer (20-40cm) and the third layer (40-60cm); Soil water content and electrical conductivity of peak appears in the June, thevolatility of the conductivity of surface soil moisture content and is the largest.(2) the analysis shows that the variation coefficient of soil water, salt, five layersof soil volumetric water content of the coefficient of variation were higher thanconductivity, explain volumetric water content of discrete degree is higher than thesalt; The difference of variation coefficient of water and salt are relatively small, thatto a certain extent, soil water and salt with consistency.(3) the conductivity analysis shows that the modeling process in five layers of soil, when modeling parameters from a (soil volumetric water content) to three (soilvolumetric water content, soil temperature and the underground water level), thestability of the model and the accuracy of data simulation also increase; Whenmodeling parameters for the two (soil volumetric water content, soil temperature) orthree, although on the precision is improved, but increase the size of the tiny, so to acertain extent, conductivity and soil volumetric water content and soil temperaturefitting equation application there will be a lot of space.(4) Remote sensing estimates of evapotranspiration analysis showed that: thestudy area daily ET lowest close0mm, the maximum daily evapotranspiration nearly6.2mm, with an average of1.4mm, the standard deviation of1.67mm, illustrate dayevapotranspiration spatial distribution of the study area varies greatly. Dailyevaporation is less than2mm area basic constitute the desert in the study area, thestudy area in the summer of2013the basic pattern of desert and oasis for the "threepoints sand, and a green"; Evaporation in3to5mm and greater than5mm area forthe core area of oasis, only14.61%of the total area of the study area.(5) the underground water level in May2012and July analysis shows thatcompared with the kriging interpolation method, inverse distance weighting method ismore suitable for the underground water level in the study area of spatial interpolation;From May to July, in most parts of the study area of the underground water level is onthe decline; Underground water level in1.9-2.3m and2.3-3.0m two interval, about60%of the total area of the study area, and two regional underground water levelchange dramatically in the research.This research for large scale water and salt transport simulation research toprovide some technical support. Due to the relatively short periodic remote sensingdata can not only get an image based on a scene evapotranspiration estimates day onthe water and salt transport points, can be extended to multiple images according tomonth, year to estimate evapotranspiration, which can according to the inversion of evapotranspiration data presented in the spatial characteristics of a surface for waterand salt to provide a reliable source of data migration from the point to convertsurface.