高浓度条件下地下水的运动方程

运用守恒方程和热力学第二定律，经过严密推导，得出了高浓度条件下的地下水运动方程．与以前作者的推导过程相比，对多孔介质的简化更符合实际水文地质条件，推导方法更严密．高浓度条件下运动方程表达式完整地反映了水体流动的驱动力场，解释了不同浓度条件下地下水流动特征存在差异的原因，对盐岩层中放射性核废物随地下水流的迁移，浅部含水层中高浓度污水运移以及沿海地区咸卤水入侵等问题的研究。

考虑浓度梯度作用的达西定律理论推导

普通达西定律仅能求解低浓度条件下水体的运动速度。在高浓度条件下，地下水的运动规律发生明显变化，运动方程必须重新推导。本文采用平均化方法，根据对多孔介质的合理和必要的简化，通过求解液相组分宏观动量守恒方程，推导出高浓度条件下的达西定律。分析表明，修正式完善了水体运动的驱动力场，为解决沿海地区卤水入侵、岩盐沉积层中放射性核废物随地下水流的迁移、浅地表高浓度污水运移等环境水文地质问题提供了途径。

Tritium concentration in soybean plants exposed to atmospheric HTO during nighttime and daytime

Potted soybean plants were exposed to evaporate HTO for 1 h inside an exposure box at two different growth stage(flowering and podding stage, filling stage)during nighttime and daytime. The concentration of tissuefree water tritium(TFWT) and organically bound tritium(OBT) in leaves and beans was measured at the end of the exposure. The results indicated that the quasi-equilibrium between the TFWT concentrations in the soybean leaves and the HTO concentration of the ambient air moisture required more than 1 h to be reached. The relative TFWT concentrations in the nighttime represent about 1/2 to 2/3of the concentrations obtained in the day in the leaves compared to about 1/2 to 4/3 in the beans. The relative OBT concentrations under night conditions were about 2/5 to 1/2 of those under day conditions in the leaves, contrary to 1/2–7/10 for the beans. By developing tritium concentration assessment model with a short-term release of atmospheric HTO, we comprehensively considered the plant growth stage and the environmental conditions.

全耦合多尺度空气质量预报模式系统

空气质量预报模式系统是空气质量状况预测、潜在重污染事件预警、外场观测实验指导的关键甲台。目前，空气质量预报模式正在从离线耦合向在线全耦合模式过渡，我国迄今未形成全球区域城市尺度伞耦命夺气质蛋预报预警系统。提高特定区域模拟精度，普遍选州等距均匀的嵌套网格技术，无法动态加密污染源高排放区或污染物高浓度区模式网格，也无法充分反映高浓度条件下非线性化学过程。自适应网格方法可以更好解决该问题，但在窄气质量模式中应用很少。