生物滴滤塔净化挥发性有机废气动力学模型研究

通过对生物滴滤塔净化VOCs废气过程的分析,建立了动力学模型,简化处理后得出了基于生物降解为一级反应动力学和零级反应动力学的污染物浓度沿填料层高度变化的方程,并通过实验数据对方程进行了验证,结果表明基于生物降解一级反应动力学的方程能较好地与实验数据吻合,但常数ξα/Q却随入口浓度Cgi的增大而升高。最后,采用实验数据回归出了ξα/Q随Cg变化的曲线。     

水环境数学模型与GIS的集成研究

从地理信息系统(GIS)的功能特点、环境信息的特性和水环境数学模型软件应用时存在不足的3个方面分析了GIS和水环境数学模型软件集成的必要性.介绍了GIS和水环境数学模型的集成方式以及苏州河三期综合整治决策支持系统的主要功能结构,重点从GIS和水环境数学模型集成方面介绍了地图矢量化、模型计算结果转化为相应数据库文件、数据库文件和GIS实现绑定以及断面水位动态演示的实现方法和重要作用.     

混合重金属对硝化颗粒污泥毒性作用的析因实验研究

分别测定了Cu2 、Zn2 和Cd2 对硝化颗粒污泥的单一毒性,采用析因实验研究了二元和三元重金属混合体系对硝化颗粒污泥的联合毒性.结果表明,Cu2 、Zn2 和Cd2 的2 h半抑制浓度EC50分别为95.23、62.11和12.48 mg/L,由析因实验所得的响应曲面模型具有较好的优度(其R2＞0.95),能够对混合体系的联合毒性很好地进行预测,析因实验可以用于环境领域混合体系联合毒性的研究.     

预处理后的活性污泥对锌吸附的研究

剩余活性污泥处理是当今的热点问题,从活性污泥资源化的角度出发,将活性污泥加工成为锌离子的生物吸附剂,比较了8种方法预处理后的活性污泥对锌的吸附效果,分析了这8种方法对污泥吸附能力的影响机理.对经过NaOH和H2O2处理的污泥的吸附特性和影响因素进行了研究,结果表明该吸附过程符合Psemio-seconal Order吸附动力学模型及Freunomch吸附等温模型,低pH不利于吸附,适当提高温度可以增强吸附效果,增加污泥吸附剂浓度可以增加金属离子去除率,但是单位质量吸附剂吸附金属离子的量减小.用红外光谱对比的手段对吸附机理进行了探讨,结果表明污泥颗粒表面一些含氮氧的基团对zn.'的络合作用是主要的吸附机理.该研究在污泥资源化和废水中锌离子的去除方面有重要意义.     

垃圾填埋场室内模拟试验注水量确定方法及其应用

针对填埋场室内模拟试验往往忽略降雨径流和初损的问题,提出运用SCS模型确定室内模拟试验日注水量的方法,并将计算结果应用于成都长安填埋场室内模拟试验中.结果表明,采用SCS模型计算所得的日入渗量进行注水的模拟柱渗滤液产量和水质变化能够更准确的模拟填埋场实际情况.     

多元回归在大气环境污染事故预测中的应用

运用多元回归法,通过预测模型的选择、数学模型的建立、基础数据的整理和回归效果的检验,建立环境污染范围与诸条件的关系,达到快速估算的目的,从而形成一种有效的大气环境污染事故范围预测的方法.     

动态规划法在污水处理厂优化设计中的应用

对具有代表性的系统优化模型进行分析比较,选用动态规划法对城市污水处理厂进行优化设计,得到了城市污水处理厂投资和运行的最优决策,为城市污水处理厂运行和设计提供了依据.     

泄漏液池动态蒸发过程模型研究与分析

指出了现有液体蔓延和蒸发模型的不足,根据质量守恒定律,推导建立了动态液池蒸发模型.在详细分析液池蔓延和蒸发过程的基础上,结合苯的泄漏,利用新建立的数学模型对苯的蔓延和蒸发进行了模拟分析.     

Modelling Phosphorus Retention in Lakes and Reservoirs

Steady-state models for the prediction of P retention coefficient (R) in lakes were evaluated using data from 93 natural lakes and 119 reservoirs situated in the temperate zone. Most of the already existing models predicted R relatively successfully in lakes while it was seriously under-estimated in reservoirs. A statistical analysis indicated the main causes of differences in R between lakes and reservoirs: (a) distinct relationships between P sedimentation coefficient, depth, and water residence time; (b) existence of significant inflow–outflow P concentration gradients in reservoirs. Two new models of different complexity were developed for estimating R in reservoirs: , where τ is water residence time (year), was derived from the Vollenweider/Larsen and Mercier model by adding a calibrated parameter accounting for spatial P non-homogeneity in the water body, and is applicable for reservoirs but not lakes, and , where [P_in] is volume-weighted P concentration in all inputs to the water body (μg l⁻¹), was obtained by re-calibrating the OECD general equation, and is generally applicable for both lakes and reservoirs. These optimised models yield unbiased estimates over a large range of reservoir types.     

Decision making under uncertainty in case of soil remediation

Decisions on soil remediation are one of the most difficult management issues of municipal and state agencies. The assessment of contamination is uncertain, the costs of remediation are high, and the impacts on the environment are multiple. This paper presents a general, transparent, and consistent method for decision making among the remediation alternatives. Soil washing, phytoremediation, and no remediation are exemplarily considered. Multi-criteria utility functions including (a) the cost of remediation (b) the impact on human health and agricultural productivity, and (c) the economic gain after remediation are constructed using probability density functions representing contamination for all site coordinates. Herewith, the probability of different types of (i) correct decisions such as a hit or a true rejection and (ii) erroneous decisions such as a false alarm or miss are examined. The decision theoretic model is applied to a case study on heavy metal contaminated soil. This case study reveals the non-linear structure of multi-criteria-decision making. The case study shows that the geostatistical uncertainties of the log-normal distributed soil contamination must be taken into account: When uncertainties are not considered and the utilities are assessed according to the estimated value for a spatial unit, only few (N=26) spatial units result where the utility score of the alternative soil washing are higher than the utility score to the no remediation alternative. However, when taking into account geostatistical uncertainties of the log-normal soil distribution this number is about ten times greater (N=237). Furthermore, the use of 'maximizing expected utility' as decision rule is critical in that it may lead to a high probability of misses.