This study emphasized on the removal performance of polychlorinated-ρ-dibenzodioxins and dibenzofurans (PCDD/Fs) and mercury by different activated carbon injection (ACI) rates from a full-scale (700 t/d) MSW incinerator. The result exhibited that the emission standard of PCDD/Fs and mercury could be met when the ACI rate reached 50 mg/Nm3 and 30 mg/Nm3, respectively. Lower chlorinated PCDD/Fs and PCDFs showed higher removal efficiencies compared with highly chlorinated PCDD/Fs and PCDDs, which could be attributed to the larger competitiveness of highly volatile congeners in AC adsorption than the lower volatile ones. AC turned out to have different adsorption selectivity for CP-routes PCDD/Fs congeners, among which 1379-TCDD was preferred to be absorbed while others exhibited little or poor selectivity for AC adsorption. The removal efficiency of PCDD/Fs was positively correlated with ACI rate at 99% confidence interval with a linear relationship (R2?=?0.98). Also, the outlet concentration of mercury decreased with the increase of ACI rate in a nearly linear function (R2?=?0.96). These results will be meaningful for the rational use of AC for pollutants control.
Performance evaluation is crucial for the development and improvement of an urban cellular automata model, such as SLEUTH.
In this paper, we employed multiple methods for map comparison and model validation to evaluate the simulation performance
of the SLEUTH urban growth model in the Shenyang metropolitan area of China. These multiple methods included the relative
operating characteristic (ROC) curve statistic, multiple-resolutions error budget, and landscape metrics. They were used to
quantitatively examine model performance in terms of the amount and spatial location of urban development, urban spatial pattern
and prediction ability. The assessment results showed that SLEUTH performed well in the way of the quantitative simulation
of urban growth for this case study. Similar to other urban growth models, however, the simulation accuracy for spatial location
of new development at the pixel scale and urban spatial pattern still needs to be improved greatly. These inaccuracies might
be attributed to the structure and nature of SLEUTH, local urban development characteristics, and the temporal and spatial
scale of its application. Finally, many valuable suggestions had been put forward to improve simulation performance of SLEUTH
model for spatial location of urban development in the Shenyang metropolitan area. 相似文献