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Abstract: Two Bi2WO6 photocatalysts with different morphology characteristics were prepared by hydrothermal method. The morphology and structure of the samples were characterized by a series of methods such as SEM and XRD, verifying that increasing the reaction temperature to a certain extent during the hydrothermal preparation of Bi2WO6 photocatalysts can improve the morphology and structure of Bi2WO6. The use of methylene blue (MB) solution as a simulated industrial organic wastewater for single variable parallel experiments and orthogonal experiments of Bi2WO6 and O3 verifies the synergistic effect of Bi2WO6 and ozone (Bi2WO6/O3) in photocatalytic treatment. We jointly investigated the conditions of catalyst dosage, ozone dosage, pH, and optimized the treatment conditions and process parameters to optimize the synergistic treatment effect, providing a theoretical basis for treating actual wastewater. The results show that when the catalyst dosage is 3g/L and O3 dosage is 0.05m3/h. When the pH value is 7, the highest degradation rate of Bi2WO6/O3 can reach 98.8%, which is 7.77 times that of Bi2WO6 monomer and 1.48 times that of O3 monomer. In addition, based on the experimental results, a preliminary prediction was made on the mechanism of Bi2WO6/O3 degrading MB under visible light: the holes (h+) generated by Bi2WO6 played the main role in MB degradation, followed by the•O2- group generated by the joint action of Bi2WO6 and O3. This indicates that within a certain amount of O3 addition range, Bi2WO6 has a greater impact on sewage treatment than O3.Abstract: Two Bi2WO6 photocatalysts with different morphology characteristics were prepared by hydrothermal method. The morphology and structure of the samples were characterized by a series of methods such as SEM and XRD, verifying that increasing the reaction temperature to a certain extent during the hydrothermal preparation of Bi2WO6 photocatalysts can i...Learn More
Abstract: Leaf area index (LAI) is an indispensable parameter for studying the exchange of material and energy on the surface of plant canopy, and it is also an important parameter for expressing the structural characteristics of plant canopy. Using the LAI remote sensing product data of MODIS data, it is of great significance to study the sensitivity analysis of vegetation LAI to monitoring and estimating ecological environment. The remote sensing inversion model of LAI was constructed by combining NDVI, SAVI, NDMI, N-BR, NBR2, MSAVI and EVI vegetation index data of Landsat8 OLI data. Through comparative analysis, the spatial distribution characteristics of leaf area index (LAI) in the study area of Gurbantunggut Desert were obtained. The analysis concluded that: (1) According to the linear fitting regression analysis, the seven vegetation indexes have a good correlation with leaf area index (LAI). The linear fitting relationship model of NDVI-LAI was better, and the correlation coefficient of NDVI and LAI in this study area (R2 = 0.871). (2) The distribution characteristics of leaf area index (LAI) in the study area were inverted by NDVI-LAI model (R2 = 0.23, RMSE = 1.801). (3) LAI of Gurbantunggut Desert According to the changes of the study area and the vegetation coverage area, it is concluded that with the increase of the distance of the vegetation coverage area, the LAI gradually decreases.Abstract: Leaf area index (LAI) is an indispensable parameter for studying the exchange of material and energy on the surface of plant canopy, and it is also an important parameter for expressing the structural characteristics of plant canopy. Using the LAI remote sensing product data of MODIS data, it is of great significance to study the sensitivity analys...Learn More
