發(fā)布時間：2018-05-14 12:18

  本文選題：干擾程度 + 鹽漬土��； 參考：《光譜學(xué)與光譜分析》2017年02期

【摘要】：通過對新疆阜康500水庫下游的鹽漬化土壤實地定點取樣和光譜測量,利用光譜變換、相關(guān)分析等方法,定量探討了不同人為干擾程度的土壤鹽分、水分與光譜反射率之間的關(guān)系,并建立了土壤反射光譜與鹽分含量之間的多元線性回歸預(yù)測模型。結(jié)果表明:(1)人為干擾程度與土壤鹽分呈極顯著正相關(guān),而與土壤水分呈極顯著負相關(guān),相關(guān)系數(shù)分別為0.961和-0.929。(2)在不同干擾程度與土壤光譜反射率的關(guān)系中,重度干擾的土壤反射率比輕度干擾土壤的反射率高10%,比未干擾高17%。這是由于人為干擾破壞了土壤表面的少量植被及生物、物理結(jié)皮,土壤表層因缺乏保護,水分會迅速蒸發(fā),并將土壤下部的鹽分帶到上部,加之降水稀少,鹽分在表層聚集。干擾程度越高,結(jié)皮破壞越嚴重,土壤積鹽越多,反射率越高。(3)隨干擾程度的不斷增加,土壤原始光譜反射率與鹽分相關(guān)系數(shù)的兩個最大值逐漸向近紅外波段偏移(999,876~979,1 182~1 370和1 900nm),這預(yù)示著,在近紅外區(qū)土壤光譜反射率對鹽分含量更為敏感。(4)利用反射率R、反射率一階導(dǎo)數(shù)R′、反射率R+水分分別建立了不同干擾程度的三類土壤鹽分含量預(yù)測模型。綜合R~2和RMSE判斷模型精度,在不同干擾程度下,同類型的土壤含鹽量預(yù)測模型中,干擾程度越小,模型精度越高;而在相同干擾程度下,不同類型的土壤含鹽量預(yù)測模型中,均以一階導(dǎo)數(shù)R′建立的模型預(yù)測效果最優(yōu),R~2均超過0.983�？傮w上,模型精度提高了5%~10%,表明原始光譜經(jīng)過一階導(dǎo)數(shù)變換處理,可以去除部分線性背景值的干擾,提高預(yù)測土壤含鹽量的精度。
[Abstract]:Through sampling and spectrum measurement of salinized soil in the lower reaches of Fukang 500 Reservoir in Xinjiang, the soil salinity with different degree of human interference was quantitatively discussed by means of spectral transformation and correlation analysis. The relationship between water content and spectral reflectance, and a multivariate linear regression prediction model between soil reflectance spectrum and salt content was established. The results showed that the degree of human disturbance was significantly positively correlated with soil salinity, but negatively correlated with soil moisture. The correlation coefficient was 0.961 and -0.929. 2 respectively. The reflectivity of heavily disturbed soil was 10% higher than that of mild disturbance and 17% higher than that of non-interference. This is due to human disturbance to destroy a small amount of vegetation and organisms on the soil surface, physical crust, soil surface for lack of protection, water will evaporate rapidly, and the lower part of the soil salt to the upper, coupled with the lack of precipitation, salt accumulation in the surface layer. The higher the interference degree, the more serious the crust damage, the more salt accumulated in the soil, the higher the reflectivity. The two maximum values of the original spectral reflectance and the salt correlation coefficient of the soil gradually shifted to the near infrared band. In the near infrared region, soil spectral reflectance is more sensitive to salt content. 4) three kinds of soil salt content prediction models with different degree of interference were established by using reflectivity R, first derivative R and R water. By synthesizing RX2 and RMSE, the precision of the model is higher in the same type of soil salinity prediction model with different degree of interference, but in the same degree of interference, in different types of soil salt content prediction model, the lower the degree of interference is, the higher the precision of the model is. The prediction results of the models based on the first derivative R 'are all above 0.983. On the whole, the accuracy of the model has been improved by 5% and 10%, which indicates that the original spectrum can remove the interference of partial linear background value and improve the precision of predicting soil salt content after the first order derivative transformation.
【作者單位】： 新疆大學(xué)資源與環(huán)境科學(xué)學(xué)院教育部綠洲生態(tài)重點實驗室;北京聯(lián)合大學(xué)應(yīng)用文理學(xué)院城市系;
【基金】：國家自然科學(xué)基金項目(41171165) 北京市屬高等學(xué)校高層次人才引進與培養(yǎng)計劃項目(IDHT20130322)資助
【分類號】：S156.4;O657.3

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1 趙雨虹;北京市延慶地區(qū)主要森林類型對不同干擾程度的響應(yīng)[D];北京林業(yè)大學(xué);2009年

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本文編號：1887815