超声波降解水溶液中叔丁醇的研究

研究了超声场降解水溶液中叔丁醇的行为，并探讨了反应动力学模式。实验表明．在本实验条件下超声波降解叔丁醇能够达到较好的降解效果。叔丁醇的去除率随着超声辐射时间的延长而提高，在频率为20kHz、功率为1500W的超声场下，作用80min能够达到90％左右的去除率。反映体系的降解速率随着反应温度的提高而升高，随着初始浓度的增大而降低：反应体系的pH值对叔丁醇的降解率影响不大：溶液中溶解气体的种类对降解效果有一定影响。反应速率常数按照由快到慢的顺序为ko2〉k未作处理〉kN2。在一定的初始浓度条件下，超声波降解叔丁醇的反应符合假一级反应动力学模式。     

关于建立生态建设示范区生态环境质量综合评价体系的初步思考

文章介绍了我国生态示范区的建设情况以及生态环境质量评价的概念、方法及应用,指出了现有生态示范区生态环境质量评价体系的不足,立足于土壤、水、气、生物等系统环境,提出了江苏省生态建设示范区生态环境质量综合评价指标体系的初步框架.     

胶州湾COD、N、P污染物浓度数值模拟

在已建潮流模型的基础上，建立了胶州湾三维变边界污染物平流-扩散模型，模拟了胶州湾COD、N、P污染物现状浓度分布。结果表明，胶州湾主要污染因子为N，海湾东北部污染较为严重，东岸形成一条狭长的带状污染区，模拟结果与实测资料符合良好。本文统计了COD、N、P超标面积，N超一类水域面积为253km^2，占整个胶州湾面积的64％，COD和P大部分水域满足一类海水水质标准。模拟结果可为胶州湾水质管理、入海污染物总量控制提供依据。     

Upstream-downstream cooperation approach in Guanting Reservoir watershed

A case study is introduced and discussed concerning water dispute of misuse and pollution between up- and down-stream parts. The relations between water usage and local industrial structures are analyzed. Results show it is important to change industrial structures of the target region along with controlling water pollution by technical and engineering methods. Three manners of upstream-downstream cooperation are presented and discussed based on the actual conditions of Guangting Reservoir watershed. Two typical scenarios are supposed and studied along with the local plan on water resources development. The best solution for this cooperation presents a good way to help the upstream developing in a new pattern of eco-economy.     

利用逆向轨迹反演模式估算北京地区甲烷源强

利用连续监测的大气甲烷浓度数据和拉格朗日逆向轨迹反演模式估算出北京甲烷源排放强度，并与根据最新调查数据建立的北京地区甲烷源排放清单进行了比较。排放清单结果表明，北京地区甲烷排放总量为296．4Gg/a，其中，最主要的甲烷排放源为城市垃圾和化石燃料，反映了北京作为一特大城市甲烷排放以人为源为主的特点。利用2000年6月至12月连续观测的有湿合层代表性的北京大气甲烷浓度，通过奇异值分解法（Singular Value Decomposition，SVD）反演出模拟区域的甲烷排放源强度和分布。模式计算与排放清单在甲烷源定性分布上对应较好，定量结果也是合理的。但由于可输入的气象数据有限，轨迹在整个模拟区域内覆盖不均匀，反演出的源块位置有偏差，其中偏差最大的为煤矿的甲烷排放。     

Regression modelling of hourly NOx and NO2 concentrations in urban air in London

Based on hourly measurements of NO_x NO₂ and O₃ and meteorological data, an ordinary least squares (OLS) model and a first-order autocorrelation (AR) model were developed to analyse the regression and prediction of NO_x and NO₂ concentrations in London. Primary emissions and wind speed are the most important factors influencing NO_x concentrations; in addition to these two, reaction of NO with O₃ is also a major factor influencing NO₂ concentrations. The AR model resulted in high correlation coefficients (R > 0.95) for the NO_x and NO₂ regression based on a whole year's data, and is capable of predicting NO₂ (R = 0.83) and NO_x (R = 0.65) concentrations when the explanatory variables were available. The analysis of the structure of regression models by Principal Component Analysis (PCA) indicates that the regression models are stable. The results of the OLS model indicate that there was an exceptional NO₂ source, other than primary emission and reaction of NO with O₃, in the air pollution episode in London in December 1991.     

Simulated and experimental evaluation of factors affecting the rate and extent of reductive dehalogenation of chloroethenes with glucose

Carbohydrates such as molasses are being added to aquifers to serve as electron donors for reductive dehalogenation of chloroethenes. Glucose, as a model carbohydrate, was studied to better understand the processes involved and to evaluate the effectiveness for dehalogenation of different approaches for carbohydrate addition. A simulation model was developed and calibrated with experimental data for the reductive dehalogenation of tetrachloroethene to ethene via cis-1,2-dichloroethene. The model included fermentors that convert the primary donor (glucose) into butyrate, acetate and hydrogen, methanogens, and two separate dehalogenator groups. The dehalogenation groups use the hydrogen intermediate as an electron donor and the different haloethenes as electron acceptors through competitive inhibition. Model simulations suggest first that the initial relative population size of dehalogenators and H(2)-utilizing methanogens greatly affects the degree of dehalogenation achieved. Second, the growth and decay of biomass from soluble carbohydrate plays a significant role in reductive dehalogenation. Finally, the carbohydrate delivery strategies used (periodic versus batch addition and the time interval between periodic addition) greatly affect the degree of dehalogenation that can be obtained with a given amount of added carbohydrate.     

污水处理工艺系统优化设计理论的研究与发展

综述了污水处理工艺系统优化设计理论研究的发展历史 ,分析总结了优化设计模型研究的发展规律以及需要解决的关键性问题 ;详细介绍了几个具有典型代表性的非线性系统优化模型的结构及寻优方法 ;从 6个特征方面横向比较了部分优化数学模型的研究成果 ;结合国内研究动态提出了对该领域研究前景的展望     

Effects of degree of water saturation on dispersivity and immobile water in sandy soil columns

Three natural nonaggregated soil samples, with similar grain-size distributions, have been used to determine the dispersive behavior of porous media under steady, saturated and unsaturated flow conditions. Tritium was used as a tracer and was found to have no sorption on the solid matrix. Generated breakthrough curves (BTCs) for the unsaturated experiments were symmetrical with no evidence of tailing. The unsaturated experiments for two of the soils were adequately described by considering all the water in the pore volume as mobile. However, about 10% of the pore water, independent of the degree of saturation, was found to be immobile in the case of the third soil during unsaturated flow. For this soil, there was no mass transfer between the two water regions, indicating that the immobile water is essentially isolated from the flowing water fraction. For all three soils, dispersivity under unsaturated conditions was found to be higher, independent of the degree of water saturation, than the value determined for the saturated experiments. This is inconsistent with what would be expected from the simple bundle-of-capillary-tubes model and does not agree well with a more sophisticated conceptualization of the porous medium. The data, however, clearly indicate a wider range in pore-water velocities when these soils are desaturated.     

Experimental study and modeling of the transfer of zinc in a low reactive sand column in the presence of acetate

Nowadays, it is necessary to understand and identify the reactions governing the fate of heavy metals introduced into the environment with low complexing organic compounds, particularly when they are transferred through soils in urban areas. In this work the concomitant influence of pH and acetate on the fate of zinc on siliceous sand was studied in batch and non-saturated column experiments. Total zinc concentrations varied between 2 and 20 mg/l, and total acetate concentrations were fixed at 22, 72, 132, and 223 mM to obtain solution pHs of 4, 5, 6 and 7, respectively. Natural sand (diameter, 0.3-2 mm), mainly constituted of silica, was used. In batch adsorption experiments, zinc adsorption is insignificant at pH 4, low and linear at pH 5, and increasingly nonlinear, of the Langmuir type, at pH 6 and 7 indicating near-saturation conditions of surface sites at these high pH values. In column experiments, Zn retardation increases and the maximum outlet concentration of Zn decreases with rising pH and acetate concentrations. Previous column tracer experiments revealed the occurrence of regionalized water transport in the column. Modeling these data was based on a non-electrostatic approach. Batch and column data modeling was based on the PHREEQC code that allows concomitant resolution of chemical speciation and regionalized water transport. The speciation calculation indicates that the ZnAcetate+ species is the dominant Zn species in the solutions used. Batch experimental curves are correctly modeled assuming the formation of the three surface species triple bond SiOZn+, triple bond SiOH-Zn Acetate+ and triple bond SiO-Zn(Acetate)2-. The column data could be adequately modeled assuming a two-region water transport and the formation of the same three species with the same thermodynamic constants determined in the batch experiments. The hypothesis of the modeling leads to a slight overestimation of the quantities of zinc eluted (10%) at pH 6 and 7, mostly in the desorption phase. These results show that the methodology used facilitates the correct modeling of both batch and transport experiments and formulation of the hypothesis on the interactions between the low reactive sand and a complex solution.