The adsorption of five toxic metallic cations, Cd(II), Cu(II), Ni(II), Pb(II) and Zn(II), onto montmorillonite was investigated as a function of pH and ionic strength and a two-site surface complexation model was used to predict the adsorption data. The results showed that in the lower pH range, 3∼6 for Cd, Cu, Ni and Zn, and 3∼4.5 for Pb, the adsorption was greatly affected by ionic strength, while in the higher pH range, the adsorption was not. In the lower pH range, the metallic cations were mainly bound through the formation of outer-sphere surface on the permanently charged basal surface sites (≡X−), while in the higher pH range the adsorption occurred mainly on the variably charged edge sites (≡SOH) through the formation of inner-sphere surface complexes. Acid-base surface constants and metal binding constants for the two sites were optimized using FITEQL. The adsorption affinity of the five metallic cations to the permanently charged sites of montmorillonite was Pb > Cu > Ni ≈ Zn ≈ Cd, while that to the variable charged sites was Pb ? Cu > Zn > Cd > Ni. 相似文献
利用在线耦合的大气化学模式WRF-Chem V3.6(Weather Research Forecasting Model with Chemistry Version 3.6)及环境、气象观测数据,在完成大气化学方案优选的基础上,研究了华北地区一次重霾污染过程(2013年2月15~17日)对气象条件的反馈作用。重点关注一次颗粒物、无机气态成分和挥发性有机污染物的人为排放对PM2.5(空气动力学当量直径小于等于2.5μm的颗粒物,即细颗粒物)生成的贡献,探讨了由此引发的气象条件的变化。模拟结果显示,上述3种人为源的综合排放对华北地区PM2.5浓度的平均贡献率为91.27%,其中对北京、秦皇岛和沧州的贡献率分别达96.9%、95.9%和97.2%。这使区域地面太阳向下短波辐射降低近15.99%,区域平均地面辐射强迫达-26.51 W m-2,由此导致地面温度下降0.14°C(3.68%),逆温增强,垂直温度梯度(?T/?z)升高0.026 K km-1,边界层高度降低18.92 m(8.77%),平均风速减少约0.014 m s-1(0.35%),相对湿度绝对值升高0.51%,地面平均气压降低0.86 Pa。对于15~17日污染过程,人为源综合排放的气溶胶对短波辐射的影响在天气过程中占主导地位,对边界层高度的影响较大,但不起主导作用,对温度、风速、相对湿度、气压的作用则远小于天气系统本身。挥发性有机污染物(Volatile Organic Compounds,VOCs)作为二次有机气溶胶(Secondary Organic Aerosol,SOA)的前体物,其人为排放对SOA浓度的贡献率约为99.6%。同时,VOCs通过调整大气反应活性促进无机气态成分向无机盐转化,它对硫酸盐和硝酸盐浓度的贡献达50%以上。然而,VOCs对整个PM2.5浓度的贡献不及各种源综合贡献的1/4。人为排放的VOCs对气象场的反馈与综合排放的作用基本一致,但对地面气压的影响VOCs排放时以热力因子为主,而人为源综合排放时以动力因子为主。上述结果暗示,灰霾污染过程所引发的气象条件向不利于污染物扩散方向改变,这可能促进污染物的局地累积、增强污染程度并延长区域内重污染的持续时间。因此,在探讨区域性灰霾污染成因时,灰霾自身通过辐射强迫作用对大气的调节是不可忽视的重要影响因素。 相似文献
We investigated the influence of dynamical in-consistency of initial conditions on the predictive skill of decadal climate predictions. The investigation builds on the fully coupled global model “Coupled GCM for Earth Simulator” (CFES). In two separate experiments, the ocean component of the coupled model is full-field initialized with two different initial fields from either the same coupled model CFES or the GECCO2 Ocean Synthesis while the atmosphere is initialized from CFES in both cases. Differences between both experiments show that higher SST forecast skill is obtained when initializing with coupled data assimilation initial conditions (CIH) instead of those from GECCO2 (GIH), with the most significant difference in skill obtained over the tropical Pacific at lead year one. High predictive skill of SST over the tropical Pacific seen in CIH reflects the good reproduction of El Niño events at lead year one. In contrast, GIH produces additional erroneous El Niño events. The tropical Pacific skill differences between both runs can be rationalized in terms of the zonal momentum balance between the wind stress and pressure gradient force, which characterizes the upper equatorial Pacific. In GIH, the differences between the oceanic and atmospheric state at initial time leads to imbalance between the zonal wind stress and pressure gradient force over the equatorial Pacific, which leads to the additional pseudo El Niño events and explains reduced predictive skill. The balance can be reestablished if anomaly initialization strategy is applied with GECCO2 initial conditions and improved predictive skill in the tropical Pacific is observed at lead year one. However, initializing the coupled model with self-consistent initial conditions leads to the highest skill of climate prediction in the tropical Pacific by preserving the momentum balance between zonal wind stress and pressure gradient force along the equatorial Pacific.
The gas resources assessment expert system is one of the advanced methods for appraising oil and gas resources. The establishment of a knowledge base is the focal task in developing the expert system. This paper presents a summary of the mechanism and the major controlling factors in the formation of gas pools in the southeast uplift of the Songliao basin. Then an appropriate assessment model is established for trapping the gas resources and a knowledge base built in the expert system to realize the model. By using the expert system to appraise the gas-bearing probability of 25 major traps of the Quantou and Denglouku Formations in the Shiwu-Dehui area, the authors have proved that the expert system is suitable for appraising traps in the Songliao basin and similar basins. 相似文献