[Objective]This study aimed to analyze the relationships of the normalized difference vegetation index(NDVI)(1981-2006)in the desert-loess transitional zone of China with precipitation and temperature.[Method]The aver...[Objective]This study aimed to analyze the relationships of the normalized difference vegetation index(NDVI)(1981-2006)in the desert-loess transitional zone of China with precipitation and temperature.[Method]The average method and the correlation function were applied in this study.[Result]The results indicated that during the growing season NDVI was positively correlated with precipitation in the current month,last month and the month before last,especially the last month.NDVI mostly negatively correlated with temperature,especially the temperature in the last month,which shows that the higher temperature,the more adverse the conditions for vegetation growth.[Conclusion]NDVI from August to October clearly is one of the significant factors influencing dust storm weather in spring of the next year.展开更多
Air pollution caused by particles with small size has been a global concern because of threats to human health.A feasible way to remove these super fine suspended particles is using electrostatic precipitation technol...Air pollution caused by particles with small size has been a global concern because of threats to human health.A feasible way to remove these super fine suspended particles is using electrostatic precipitation technology.Herein,the PIV was used to measure the particle velocity distribution.By analyzing the particle motion trend in high electric field,a process of particle charging loss was observed.This phenomenon cannot be explained by current particle charging theories.Our conclusions may improve the understanding of particle charging processes.展开更多
基金Supported by the Key Program of Hebei Education Department(ZH2012035)
文摘[Objective]This study aimed to analyze the relationships of the normalized difference vegetation index(NDVI)(1981-2006)in the desert-loess transitional zone of China with precipitation and temperature.[Method]The average method and the correlation function were applied in this study.[Result]The results indicated that during the growing season NDVI was positively correlated with precipitation in the current month,last month and the month before last,especially the last month.NDVI mostly negatively correlated with temperature,especially the temperature in the last month,which shows that the higher temperature,the more adverse the conditions for vegetation growth.[Conclusion]NDVI from August to October clearly is one of the significant factors influencing dust storm weather in spring of the next year.
基金supported by the National Natural Science Foundation of China(Grant No.51107095)
文摘Air pollution caused by particles with small size has been a global concern because of threats to human health.A feasible way to remove these super fine suspended particles is using electrostatic precipitation technology.Herein,the PIV was used to measure the particle velocity distribution.By analyzing the particle motion trend in high electric field,a process of particle charging loss was observed.This phenomenon cannot be explained by current particle charging theories.Our conclusions may improve the understanding of particle charging processes.
