TiO2薄膜光催化降解双酚A的研究

采用sol-gel法制备TiO2薄膜.以该薄膜为催化剂,研究了在H2O2存在的条件下,对内分泌干扰物质双酚A的光催化降解反应.分别讨论了pH值、H2O2的加入量、双酚A的初始浓度以及光照时间对降解反应的影响.结果表明,在pH=4,30 mg/L的H2O2中对初始浓度为50 mg/L的双酚A溶液光照180 min有较好的降解效果.     

Three-dimensional simulation of reservoir temperature and pollutant transport by the lattice Boltzmann method

Predicting the three-dimensional (3D) transport processes of reservoir temperature and pollutants is essential for water environmental protection and restoration, and introducing the lattice Boltzmann (LB) method into this prediction is necessary because of its simple algorithm, straightforward implementation of boundary conditions, and high computation efficiency. In this paper, a triple-distribution function (TDF) LB model for flow-temperature-concentration coupling simulations is introduced. Some essential techniques for implementing this method in 3D reservoirs are also described, including the treatment of water surface fluctuation, the consideration of surface heat exchange, and the hardware acceleration using the graphics processing unit (GPU). Two cases verified the proposed model, and then, the temporal-spatial variations of flow, temperature, and pollutants in the upper reservoir of a pumped-storage power station during both pumping and generating modes were analyzed to demonstrate its applicability. In the reservoir, the water forms several circulations, the cold water from the inlet flows as an undercurrent firstly, and then spread laterally, and the spreading of pollutants directly relates to the flow velocity. The results of flow, temperature, and concentration fields in different working conditions are consistent with model tests and physical laws, which shows good prospects of the proposed LB model.

     

Quantitative microbial risk assessment of bioaerosols in a wastewater treatment plant by using two aeration modes

Environmental Science and Pollution Research - Nonnegligible emission of bioaerosols usually occurs during aeration of wastewater in aerator tanks in wastewater treatment plants (WWTPs). Literature...     

Adsorption of volatile benzene series compounds by surface-modified glass fibers: kinetics,thermodynamic adsorption efficiencies,and mechanisms

Environmental Science and Pollution Research - The presence of volatile benzene series compounds (VBSCs) in the environment is continually increasing, with the potential for negative effects on...     

Analysis of the Effect of the Beavers‐Joseph Interface Condition on Flow in Karst Conduits1

Li, Guangquan, Yuan Cheng, and Bei Zhao, 2012. Analysis of the Effect of the Beavers‐Joseph Interface Condition on Flow in Karst Conduits. Journal of the American Water Resources Association (JAWRA) 1‐8. DOI: 10.1111/j.1752‐1688.2012.00683.x Abstract: In this study, we derive an approximate analytic solution for the distribution of flow velocity in a cylindrical conduit and the surrounding media, and analyze the effect of differing parameters (e.g., conduit radius) on the velocity of conduit flow. The solution is then employed to estimate the thickness of the boundary layer inside the media. The results reveal that when conduit radius is large, the Beavers‐Joseph condition has only a minor effect on the velocity of conduit flow (such that the nonslip condition on the conduit wall still works pretty well), and the boundary layer is so thin that the wall can still be treated as the interface between fast water in the conduit and slow water in the media. The solution indicates that the velocity of conduit flow is the superposition of the velocity profile in the nonslip situation onto the slip velocity on the wall. Our study theoretically shows that the coupled continuum pipe flow model in MODFLOW‐2005 constructed by the U.S. Geological Survey is reasonable in that there is no need to consider the Beavers‐Joseph condition when simulating flow in karst conduits. The role of the boundary layer in transport and its effect on the hyporheic zone is not clear, which is a suitable topic for future study.     

Influence of surface properties of RO membrane on membrane fouling for treating textile secondary effluent

Environmental Science and Pollution Research - Reverse osmosis (RO) is a promising technology for treating and reusing textile secondary effluent (SE). To better understand the effect of membrane...     

淠河流域不同强度等级降水变化研究

淠河流域降水时空变率大,深入分析不同强度等级降水的特征和变化,对于全面揭示研究区气候变化、合理有效利用水资源、防治洪旱灾害具有十分重要的意义。基于淠河流域12个气象站1958~2012年逐日降水资料,分析年、季不同级别降水量(频次)的变化特点,以及主汛期(5~9月)连续3d最大降水量的概率分布。结果表明,淠河流域小雨量(频次)四季分布比较均匀,级别越高,降水频次越少,分布越集中,夏季暴雨多发。淠河流域年总降水量增加趋势不显著,总降水频次则显著减少。夏季各级别降水量(频次)均呈增加趋势,其中暴雨增加最显著,冬季总降水频次无明显趋势变化,小雨、中雨量增加显著,春、秋季总降水频次和小雨频次的减少趋势极其显著。淠河流域暴雨量、暴雨频次均在1968年发生增多突变,小雨频次在1975年有极显著减少突变,年总降水量有增多突变,总降水频次则有减少突变。自20世纪70年代后期以来,研究区主汛期连续3d极端强降水出现概率加大,不同重现期极值增大,洪涝灾害风险加剧。     

多情景视角下中国能源消费和碳达峰路径

准确预测能源消费及碳排放量对于科学有序落实我国"2030年前碳达峰,2060年前碳中和"目标有重要现实意义.提出了一种融合位置扰动和模拟退火的改进粒子群算法（IPSO）优化基于两层"分解-集成"策略的预测方法：首先利用趋势分解（TD）将原始能源消费时序分解成趋势项和非趋势项,继而使用经验模态分解（EMD）将非趋势项分解成若干本征模态函数（IMFs）和一个残差项,然后对上述趋势项、IMFs和残差项分别建模预测,利用IPSO优化多元线性回归模型（MLR）预测趋势项,采用长短期记忆神经网络（LSTM）预测非趋势项的本征模态函数IMFs和残差子序列,最后通过相加集成求取最终能源消费预测值.实证分析表明,基于TD-EMD两层"分解-集成"策略的IPSO-MLR-LSTM模型融合了TD、EMD、IPSO和LSTM的优点,更全面地捕捉了趋势项和非趋势项演化规律,提升了预测性能,将其应用于能源消费领域是可行且有效的.最后,预测了在不同能源消费结构、经济增长、人口数量、能源效率和人均生活能源消费水平情景下的我国2021~2035年能源消费和碳排放量,并给出相关政策建议.