Here we use a Discriminant Genetic Algorithm Extended Model（DGAEM） to diagnose and predict seasonal sand and d...
YANG Yuanqin,WANG Jizhi,Niu Tao,Hou Qing Liu Yiyan,Chen Miao(Atmospheric Composition Observing & Service Center,Chinese Academy of Meteorological Sciences,100081 Beijing)
Detailed high-resolution emission inventories of primary particles(PM2.5,BC and OC) and pollutant gases(SO2,NOx,NH3,CO and VOCs) for China in 2007 were constructed on the basis of the latest fuel consumption data,mostly at the county level,and from socio-economic statistics and data on fossil and biomass fuels obtained from government agencies.New emission factors reflecting local features were also used.The calculated emissions were 13.212 Mt PM2.5,1.4 Mt BC,2.946 Mt OC,31.584 Mt SO2,23.248 Mt NOx,16.017 Mt NH3,164.856 Mt CO and 35.464 Mt VOCs.The national and regional emissions were gridded with 0.5°× 0.5° resolution for use in air quality models.Larger emissions were found in eastern and central China than in western China.The emissions estimated here are roughly equal to those obtained in previous studies,but with different contributions from because of seasonal changes in residential heating and biomass combustion.Finally,uncertainties in inventories were analyzed.
CAO GuoLiangZHANG XiaoYeGONG SunLingAN XinQinWANG YaQiang
Weather modification is widely carried out in China.It is important to develop an operational model for weather modification to predict the microphysical features of cloud and precipitation and to help locate possible seeding areas.A two-moment microphysics scheme is developed using a quasi-implicit calculation method.The scheme predicts the evolution of mass as well as the number densities of the five hydrometeor types.Some microphysical processes are specified.The scheme is implemented with mesoscale models that have been run operationally for weather modification in China.
