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为量化秸秆打包政策对防控大气污染的影响,基于吉林省2016年秸秆产量、秸秆打包地亩数、卫星火点数据以及大气污染物浓度的变化,对吉林省秸秆打包产生的大气环境及社会经济效益进行了分析,结果表明:1)吉林省打包秸秆量为220.36×10~4t,约占秸秆年产量的5.5%,假如全部加工成生物质颗粒燃料,2016年至少减少14.54×10~4t污染物排放;2)吉林省秸秆打包政策执行以来,秸秆露天燃烧量及秸秆燃烧主要月份的卫星火点数显著下降;3)随着露天燃烧量的减少,区域大气颗粒物浓度降低,空气质量改善。秸秆燃烧主要月份的PM_(2.5)和PM_(10)浓度从2014年的104.5μg·m~(-3)、164μg·m~(-3)分别下降到2016年的48.5μg·m~(-3)、69·μg·m~(-3)。研究结果可为吉林省有效减少污染物排放、综合利用农作物秸秆、改善大气环境质量等提供科技支撑。  相似文献   
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Chemical coupling between ammonia, acid gases, and fine particles   总被引:2,自引:0,他引:2  
The concentrations of inorganic aerosol components in the fine particulate matter (PM(fine)< or =2.5 microm) consisted of primarily ammonium, sodium, sulfate, nitrate, and chloride are related to the transfer time scale between gas to particle phase, which is a function of the ambient temperature, relative humidity, and their gas phase constituent concentrations in the atmosphere. This study involved understanding the magnitude of major ammonia sources; and an up-wind and down-wind (receptor) ammonia, acid gases, and fine particulate measurements; with a view to accretion gas-to-particle conversion (GTPS) process in an agricultural/rural environment. The observational based analysis of ammonia, acid gases, and fine particles by annular denuder system (ADS) coupled with a Gaussian dispersion model provided the mean pseudo-first-order k(S-1) between NH(3) and H(2)SO(4) aerosol approximately 5.00 (+/-3.77)x10(-3) s(-1). The rate constant was found to increase as ambient temperature, wind speed, and solar radiation increases, and decreases with increasing relative humidity. The observed [NH(3)][HNO(3)] products exceeded values predicted by theoretical equilibrium constants, due to a local excess of ammonia concentration.  相似文献   
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Global emissions of ammonia are approximately 75 Tg N/yr (1 Tg =1012g). The major global source is excreta from domestic animals ( 32 Tg N -1yr-1). Waste storage and treatment lagoonsare used to treat the excreta of hogs in North Carolina (NC). Proteins and nitrogen rich compounds in the lagoon are convertedto ammonia, through a series of biological and chemical transformations. The process of ammonia emission has been investigated using two different model approaches: (1) CoupledMass Transfer with Chemical Reaction Model (Model I), and (2)Mass Transport without Chemical Reaction Model (Model II). Asensitivity analysis is performed with the models, and the modelresults are compared with ammonia emission experiments at a swinewaste storage and treatment lagoon in NC using a dynamic emissionflux chamber.Results of model predictions of emission flux indicate an exponential increase in ammonia flux with increasing lagoontemperature and pH, a linear increase with increasing lagoontotal ammoniacal nitrogen (TAN), and a secondary degree increasewith the increasing wind speed. In addition, the fluxes predictedby Model I are consistently larger than fluxes predicted by Model II. Experimental values of flux agreed well with model predictions, with the experimental values lying in different positions between the two model predictions under different physical and chemical conditions. Further, when compared to diurnal and seasonal experimental flux values, Model I corroborates the results in calm meteorological conditions (windspeed U10 = 1.5 m s-1). However, the observed results are better predicted by Model II during unstable conditions, when wind speeds are higher than 2.0 m s-1 and physical transfer process functions dominate.  相似文献   
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