The performance of a wetland system in treating lead (Pb)/zinc (Zn) mine drainage was evaluated by using the polyurethane
foam unit (PFU) microbial community (method), which has been adopted by China as a standardized procedure for monitoring water
quality. The wetland system consisted of four cells with three dominant plants: Typha latifolia, Phragmites australis and Paspalum distichum. Physicochemical characteristics [pH, EC, content of total suspended solid (TSS) and metals (Pb, Zn, Cd, and Cu)] and PFU
microbial community in water samples had been investigated from seven sampling sites. The results indicated that the concentrations
of Pb, Zn, Cd, Cu, and TSS in the mine drainage were gradually reduced from the inlet to the outlet of the wetland system
and 99%, 98%, 75%, 83%, and 68% of these metals and TSS respectively, had been reduced in concentration after the drainage
passed through the wetland system. A total of 105 protozoan species were identified, the number of protozoa species and the
diversity index (DI) gradually increased, while the heterotrophic index (HI) gradually decreased from the inlet to the outlet
of the wetland system. The results indicated that DI, HI, and total number species of protozoa could be used as biological
indicators indicating the improvement of water quality. 相似文献
Few moral arguments have been made against vegetarian diets. One exception is the “Logic of the Larder:” We do animals a favor
by purchasing their meat, eggs, and milk, for if we did not purchase these products, fewer animals would exist. This argument
fails because many farm animals have lives that are probably not worth living, while others prevent a significant number of
wild animals from existing. Even if this were not so, the purchase of animal products uses resources that could otherwise
be used to bring a much greater number of animals into existence. 相似文献
In recent 2 years, the incidence of influenza showed a slight upward trend in Guangxi; therefore, some joint actions should be done to help preventing and controlling this disease. The factors analysis of affecting influenza and early prediction of influenza incidence may help policy-making so as to take effective measures to prevent and control influenza. In this study, we used the cross correlation function (CCF) to analyze the effect of climate indicators on influenza incidence, ARIMA and ARIMAX (autoregressive integrated moving average model with exogenous input variables) model methods to do predictive analysis of influenza incidence. The results of CCF analysis showed that climate indicators (PM2.5, PM10, SO2, CO, NO2, O3, average temperature, maximum temperature, minimum temperature, average relative humidity, and sunshine duration) had significant effects on the incidence of influenza. People need to take good precautions in the days of severe air pollution and keep warm in cold weather to prevent influenza. We found that the ARIMAX (1,0,1)(0,0,1)12 with NO2 model has good predictive performance, which can be used to predict the influenza incidence in Guangxi, and the predicted incidence may be useful in developing early warning systems and providing important evidence for influenza control policy-making and public health intervention.