首页 | 本学科首页   官方微博 | 高级检索  
     


Acid deposition models for detecting the effect of changes in emissions: an exploratory investigation utilizing meteorological variables
Affiliation:Department of Statistics, University of Chicago, Chicago, IL 60637, U.S.A.
Abstract:Two models are presented that incorporate meteorological variables to improve the assessment of the effects of emissions reductions on the concentration of sulfate in precipitation. We obtain results using these models from 12 sites in the NADP/NTN network for the 10-year period 1979–1988. In both models, we estimate the emissions effect and discuss appropriate measurements of error. Although we use historical data to evaluate the models, this methodology is developed to improve the assessment of anticipated future emission reductions under the Clean Air Act amendments of 1990. The emphaseis of this research is not on the actual estimates of the effect of emission changes. Rather, we show that the incorporation of meteorological variables offers some hope for improving the assessment of the effects of emission reductions. We provide a preliminary evaluation of the improvement in the methodology utilizing meteorological variables at 12 NADP/NTN sites in the eastern U.S.A.
Keywords:
本文献已被 ScienceDirect 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号