针对高硅锌精矿焙烧过程中焙砂可溶硅高、沸腾炉易结块、浸出固液分离困难等问题,以现场生产焙烧工艺参数为基础,研究了低温和高温焙烧对焙砂中可溶硅含量的影响,并基于MatCal软件对沸腾炉焙烧工艺进行热平衡计算。结果表明:在焙烧条件...针对高硅锌精矿焙烧过程中焙砂可溶硅高、沸腾炉易结块、浸出固液分离困难等问题,以现场生产焙烧工艺参数为基础,研究了低温和高温焙烧对焙砂中可溶硅含量的影响,并基于MatCal软件对沸腾炉焙烧工艺进行热平衡计算。结果表明:在焙烧条件基本相同的情况下,随着硫化锌精矿焙烧温度的增加,焙砂中的可溶硅也增加。当焙砂中可溶硅高于3.18%会出现浓密机上清液跑混、低浸浓密底流矿浆过滤困难、净液中除杂钴偏高等问题。经MatCal模拟计算后,理论消耗空气50361.328 m 3/h,低温焙烧的平均风量47102.8 m 3/h,高温焙烧平均风量48005.7 m 3/h,实际的焙烧中平均风量偏低,需要增加沸腾炉的风料比。展开更多
High-quality aerosol optical depth(AOD)data derived from MODIS is widely used in studying spatiotemporal trends of fine particulate matter(PM2.5)concentrations in eastern Asia.However,the differences of MODIS-AOD(3/10...High-quality aerosol optical depth(AOD)data derived from MODIS is widely used in studying spatiotemporal trends of fine particulate matter(PM2.5)concentrations in eastern Asia.However,the differences of MODIS-AOD(3/10 km DT;10 km DB)under four pollution situations(No-Po;Sl-Po;Mo-Po;Se-Po)are rarely considered.In this study,the MODIS-AOD and AODDifference spatial distributions from 2008 to 2017 are analyzed through annual/seasonal mean AOD maps generated at 0.1°×0.1°resolution.The MODIS-AOD performances are validated using AERONET AOD data for various pollution situations and aerosol types.Annual validations indicate that the 10-km DB algorithm provides the best performance,followed by 3-km DTand 10 km DT.The DB algorithm can provide spatially continuous AOD data for all seasons,whereas the DT algorithm often fails to yield valid data during winter.The validations under different pollution conditions illustrate that severe pollution significantly affects the validity of data obtained by the DB algorithm.However,the accuracy of DT-derived AOD data is robust against interference.Under the same pollution conditions,the correlation coefficient of the DB algorithm is smaller than that of the DT algorithm.The quantity of valid data in the DB product is higher than those in DT products for all pollution conditions,especially under Se-Po.展开更多
文摘针对高硅锌精矿焙烧过程中焙砂可溶硅高、沸腾炉易结块、浸出固液分离困难等问题,以现场生产焙烧工艺参数为基础,研究了低温和高温焙烧对焙砂中可溶硅含量的影响,并基于MatCal软件对沸腾炉焙烧工艺进行热平衡计算。结果表明:在焙烧条件基本相同的情况下,随着硫化锌精矿焙烧温度的增加,焙砂中的可溶硅也增加。当焙砂中可溶硅高于3.18%会出现浓密机上清液跑混、低浸浓密底流矿浆过滤困难、净液中除杂钴偏高等问题。经MatCal模拟计算后,理论消耗空气50361.328 m 3/h,低温焙烧的平均风量47102.8 m 3/h,高温焙烧平均风量48005.7 m 3/h,实际的焙烧中平均风量偏低,需要增加沸腾炉的风料比。
基金supported by the National Natural Science Foundation of China(Grant Nos.51876147&51776051)。
文摘High-quality aerosol optical depth(AOD)data derived from MODIS is widely used in studying spatiotemporal trends of fine particulate matter(PM2.5)concentrations in eastern Asia.However,the differences of MODIS-AOD(3/10 km DT;10 km DB)under four pollution situations(No-Po;Sl-Po;Mo-Po;Se-Po)are rarely considered.In this study,the MODIS-AOD and AODDifference spatial distributions from 2008 to 2017 are analyzed through annual/seasonal mean AOD maps generated at 0.1°×0.1°resolution.The MODIS-AOD performances are validated using AERONET AOD data for various pollution situations and aerosol types.Annual validations indicate that the 10-km DB algorithm provides the best performance,followed by 3-km DTand 10 km DT.The DB algorithm can provide spatially continuous AOD data for all seasons,whereas the DT algorithm often fails to yield valid data during winter.The validations under different pollution conditions illustrate that severe pollution significantly affects the validity of data obtained by the DB algorithm.However,the accuracy of DT-derived AOD data is robust against interference.Under the same pollution conditions,the correlation coefficient of the DB algorithm is smaller than that of the DT algorithm.The quantity of valid data in the DB product is higher than those in DT products for all pollution conditions,especially under Se-Po.
