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Biomass Straw Based Activated Porous Carbon Materials for High-Performance Supercapacitors
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作者 Mengdie GUAN xinle zhang +4 位作者 Yingping WU Qihao SUN Dongqi DONG Xiaoling zhang Jie WANG 《Research and Application of Materials Science》 2019年第2期27-30,共4页
Biomass straws are often regarding as agricultural waste, usually burned off in rural areas, which results in severe resource waste andair pollution. In this work, biomass-based porous carbon material with a lamellar ... Biomass straws are often regarding as agricultural waste, usually burned off in rural areas, which results in severe resource waste andair pollution. In this work, biomass-based porous carbon material with a lamellar microstructure is obtained via simple hydrothermaland subsequent KOH activation, the optimum activate process is determined by the proportion of activator. Scanning electronmicroscopy (SEM) and nitrogen adsorption techniques are conducted to investigate the physical properties of the materials. Cyclicvoltammetry and constant current discharge/charge in the three-electrode system and symmetrical double-layer capacitors resultsindicate the best electrochemical performance of SCA-1.5 electrode material, with a capacity of 250.0 F g-1 at 1.0 A g-1. And notably,high recycling stability at a high cycling rate of 1.0 A g-1 after 18,000 cycles. 展开更多
关键词 STRAW biomass carbon activation porous LAMELLAR structure SUPERCAPACITOR
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Mapping soil organic matter content using Sentinel-2 syntheticimages at different time intervals in Northeast China
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作者 Chong Luo Wenqi zhang +1 位作者 xinle zhang Huanjun Liu 《International Journal of Digital Earth》 SCIE EI 2023年第1期1094-1107,共14页
Mapping soil organic matter(SOM)content has become an important application of digital soil mapping.In this study,we processed all Sentinel-2 images covering the bare-soil period(March to June)in Northeast China from ... Mapping soil organic matter(SOM)content has become an important application of digital soil mapping.In this study,we processed all Sentinel-2 images covering the bare-soil period(March to June)in Northeast China from 2019 to 2022 and integrated the observation results into synthetic materials with four defined time intervals(10,15,20,and 30 d).Then,we used synthetic images corresponding to different time periods to conduct SOM mapping and determine the optimal time interval and time period beforefinally assessing the impacts of adding environmental covariates.The results showed the following:(1)in SOM mapping,the highest accuracy was obtained using day-of-year(DOY)120 to 140 synthetic images with 20 d time intervals,as well as with different time intervals,ranked as follows:20 d>30 d>15 d>10 d;(2)when using synthetic images at different time intervals to predict SOM,the best time period for predicting SOM was always within May;and(3)adding environmental covariates effectively improved the SOM mapping performance,and the multiyear average temperature was the most important factor.In general,our results demonstrated the valuable potential of SOM mapping using multiyear synthetic imagery,thereby allowing detailed mapping of large areas of cultivated soil. 展开更多
关键词 Sentinel-2 environmental covariates baresoilperiod synthetic images different time intervals soilorganic matter
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