Guang Pu Xue Yu Guang Pu Fen Xi
February 2017
The reflectance of saline soil in the downstream of No.500 reservoir in Fukang, Xinjiang province was investigated. Through filed sampling and spectral test, using the method of spectral transform, correlation analysis and a quantitative analysis were conducted on the salt and water content of the soil under different disturbance degree.
View Article and Find Full Text PDFIn order to investigate the influence of meteorological factors on the variation characteristics of PM in Beijing. According to the survey of PM mass concentration in height of human respiration, humidity, the direction of the wind, wind speed and temperature. Using the methods of correlation analysis and nonlinear regression analysis, the effects of meteorological factors on the formation and variation of PM mass concentration in light and moderate air pollution days and heavy pollution were discussed respectively.
View Article and Find Full Text PDFHuan Jing Ke Xue
September 2014
The 80 topsoil samples (0-10 cm) are collected from different land use types in built-up areas, northern new town (including chemical concentration area and concentrated residential areas) and suburban agricultural land at Shihezi oasis city in arid zone of Xinxiang, China. The aim of this study is to analysis the magnetic parameters of concentration, composition and particle size of magnetic properties for the urban topsoils, and to describe the spatial distribution under different circumstances of land use. The magnetic grain parameters show that the soils are dominated with coarser multi domain (MD) ferrimagnetic grain.
View Article and Find Full Text PDFSoil saline-alkalization is one of the most important problems of land degradation and the basic environmental problem in arid and semi-arid regions. The digital photography technology can rapidly and timely provide the information about properties, geographical distribution and extent of soil saline-alkalization. For verifying use digital photography assess degrees of sodality promptly and accurately, based on the monitored data of soil pH and measured VIS-NIR reflectance and photographs on given spots, The correlation were analyzed between soil pH and color space model parameters, Partial least squares Regression (PISR) was employed to build predicting model of pH value and the different between two Kinds of data were compared.
View Article and Find Full Text PDFGuang Pu Xue Yu Guang Pu Fen Xi
October 2013
One hundred thirty for soil samples of Qitai in Xinjiang were selected, and the first derivative spectrum of the soil sample logarithmic reflectance was decomposed to many layers by using 4 wavelet functions respectively, and PLSR was used to establish the prediction models respectively, and precision values were tested. The results show that: 1-3 layers low-frequency coefficients of wavelet decomposition were better, while the rest were worse. In 6 layers of all function decomposition, the highest accuracy of inversion models constructed by low-frequency coefficients were all ca2, while with increasing the decomposition layers, the precision and significance decreased significantly.
View Article and Find Full Text PDFGuang Pu Xue Yu Guang Pu Fen Xi
April 2013
Taking chlorophyll content, seedling height, blade width and canopy spectral reflectance of spring wheat at jointing stage in different lands as data source, by analyzing the correlations between canopy spectral reflectance and chlorophyll content, making regression analysis for red edge inflection points of canopy spectral reflectance and chlorophyll content of spring wheat, the chlorophyll content monitor models of irrigated and dry land were established respectively. The results showed that there is a significant difference in chlorophyll content of spring wheat, with chlorophyll content of irrigated land much higher. Although there is a good correlation between wheat canopy spectral reflectance and chlorophyll content in the two lands, the correlation of dry spring wheat is lower than irrigated land in visible light and near infrared band.
View Article and Find Full Text PDFGuang Pu Xue Yu Guang Pu Fen Xi
January 2013
The present paper, based on the Qitai county of Xinjiang, selected 40 soil samples, and used two methods respectively, i.e. multiple linear stepwise regression (MLSR) and artificial neural network (ANNs), to establish the inversion and predieting model of soil organic matter (SOM) content and the model test from measured reflectance spectra and relative test were carried through to the models.
View Article and Find Full Text PDFBased on the field-measured Vis-NIR reflectance of four common types of halophyte (Achnatherum splendens(Trin.) Nevski, Sophora alopecuroides L., Camphorosma monspeliaca L.
View Article and Find Full Text PDFGuang Pu Xue Yu Guang Pu Fen Xi
January 2011
Based on the monitored data of soil pH and measured Vis-NIR reflectance on spot in Qitai oasis alkalinized area in Xinjiang, as well as comparison of the relationship between measured reflectance and soil pH and the relationship between TM reflectance and soil pH, both of the reflectance multivariate linear regression models were built to evaluate soil alkalinization level, and the model accuracy of pH fitting was discussed with error inspection of post-sample. The results showed that there is a significant positive correlation between soil pH and reflectance. With pH rising the reflectance increased concurrently.
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