Photocatalytic degradation of organic contaminants is thought to be a potential means for resolving the growing challenge of environmental pollution. However, the efficacy is severely constrained by ineffective light harvesting and slow charge separation. Herein, ultrafine Ag nanoparticles immobilized in sulfur-doped hollow CeO 2 spheres (denoted Ag/CeO 2−x S x ) were synthesized through self-assembly and a subsequent heat-treatment strategy. Obtained Ag/CeO 2−x S x shows promoted utilization efficiency of light, remarkably improved photogenerated carrier separation efficiency, and enlarged surface area. Coupling the synergetic enhancement of light harvesting and charge separation, optimized Ag/CeO 2−x S x exhibits superb photocatalytic tetracycline degradation activity (94.2%, 60 min) under visible light irradiation, and its corresponding rate constant (0.0397 min −1 ) was nearly 28.4-fold higher than that of commercial CeO 2 (0.0014 min −1 ). This analysis provides a simple method for building high-efficiency photocatalysts for solar light-driven wastewater treatment.

Geological remote sensing information extraction of the lithology has always been the hotspot and difficulty in remote sensing applications. Carbonate rocks covered more than 3.4 million km2 in China. The study area is located around Stone Forest, which is World Natural Heritage. Sedimentary rocks distributes mainly in the area, and their spectral characteristics are complex and difficult to be recognized by remote sensing. Landsat OLI data was selected as the information source. The false color synthesis, principal component change, band ratio and other processing technologies of OLI data were applied to the lithological enhancement identification of carbonate rocks. Selected information will be used to improve the quality of the land-use planning.

This paper analyzes the research status of 3S technology in China's wetlands. The research of 3S technology in wetland landscape pattern and driving force analysis is increasing day by day. Most of the research uses 3S technology to calculate the landscape index, and reveals the change rule of wetland landscape pattern characteristics with natural and human factors from the type scale and landscape scale. The use of 3S technology for wetland information extraction and dynamic monitoring research is gradually increasing. In most studies, wetland information was extracted according to different classification criteria, and spatio-temporal characteristics of wetland were analyzed based on area change, spatial distribution and shape change. With the development, planning and protection of wetland resources, the advantages of 3S technology will become more prominent.