Detecting general plant functional type responses in fragmented landscapes using spatially-explicit simulations

Habitat loss and increasing landscape fragmentation are known to be key forces driving the ongoing loss of plant species diversity. While the combined effects of increasing isolation and decreasing population size have been studied intensively; it is less understood how plant population performance in heterogeneous landscapes is affected by changes in fragmentation alone.     

Optimal resource management control for CO2 emission and reduction of the greenhouse effect

In recent years, the world has witnessed an ever-growing concern towards global warming caused by greenhouse gases, such as carbon dioxide (CO₂). In order to reduce the emissions of CO₂ without limiting economic growth, substantial investments should target the development of clean technology and the expansion of forested areas. Considering the limited availability of resources, investments must be used in the most effective way. The present work proposes a method to efficiently manage these resources by applying the optimal control theory to a new mathematical model that describes the dynamics of the atmospheric CO₂. The contributions of this work are twofold: (1) present a model that describes the dynamic relation of CO₂ emission with investment in reforestation and clean technology and (2) present a method to efficiently manage the available resources by casting an optimal control problem. The mathematical model uses ordinary differential equations to relate the production of CO₂ with forest area and Gross Domestic Product (GDP). The model parameters are adjusted to fit the actual published data. Given an appropriate performance index, the optimal solution is found by numerically solving the Two-Point Boundary Value Problem (TPBVP) that arises from the application of Pontriagyn's Maximum Principle. The sensitivity of the obtained numerical solution is evaluated with respect to the uncertainties in the model parameters. The main objective of this work is to provide a quantitative tool for the efficient allocation of resources to reduce the greenhouse effect caused CO₂ emissions.     

汽油车排气稳态工况法检测设备常见故障及处理

结合近年来江苏省机动车环保检测工作的实际情况,解析轻型汽油车稳态工况法检测系统中五气分析仪、底盘测功机及环境参数测试单元在日常操作过程中的常见问题,分析其产生原因并提出相应的解决办法。     

Biological Adverse Effects on Bivalves Associated with Trace Metals Under Estuarine Environments

Toxic effects of pollutants on marine organisms can be studied both by performing field measurements, and by undertaking laboratory simulation experiments. Here is described the effect of trace metals Zn, Cd, Pb and Cu on the clam Scrobicularia plana along a salinity gradient simulated in a hypothetical estuary using simulation experiments. The simulator produces a continuous entry of trace metals into the estuary through injection in the lower salinity tank of the system. The clams were exposed during two weeks to different concentration of trace metals to assess the bioaccumulation process along a salinity gradient. Bivalves were analysed for body tissue residue to determine the bioaccumulation factors related to each metal and the salinity influence was addressed. Differences among tanks were observed as a result of the salinity gradient. In the achieved assays, the mechanism of bioaccumulation of Zn and Cd in organisms was more efficient at high salinity values. Bioaccumulation factors for both metals showed a linear increase with the increase of salinity values. It seems that the mechanism of bioaccumulation of Pb and Cu in organisms was dependent on two simultaneous processes: the proximity to the input point of metals and the low salinity values.     

IPCS: an integrated process control system for enhanced in-situ bioremediation

To date, there has been little or no research related to process control of subsurface remediation systems. In this study, a framework to develop an integrated process control system for improving remediation efficiencies and reducing operating costs was proposed based on physical and numerical models, stepwise cluster analysis, non-linear optimization and artificial neural networks. Process control for enhanced in-situ bioremediation was accomplished through incorporating the developed forecasters and optimizers with methods of genetic algorithm and neural networks modeling. Application of the proposed approach to a bioremediation process in a pilot-scale system indicated that it was effective in dynamic optimization and real-time process control of the sophisticated bioremediation systems.     

现代控制理论在河流水质系统状态估计中的应用

本文基于导出的河流水质系统随机状态空间模型，提出了以能够即时测定的ＤＯ浓度实时估计不易测定的ＢＯＤ浓度的塔穆勒滤波方法。通过仿真实例，证明了该滤波方法能在较大范围内适用于河流水质系统的状态估计，用ＤＯ估计ＢＯＤ是可行的。     

序批式活性污泥法工艺MATLAB仿真模型的初步建立

序批式活性污泥法工艺（SBR）是目前应用很广的一种污水处理工艺，本文在国际水协会（IWA）的ASM1模型的基础上，建立了SBR工艺反应模型，通过模型检验可发现，该模型能较好地模拟SBR工艺反应中的微生物处理过程，具有很大的发展前景。     

土地快速渗滤处理啤酒废水的土柱模拟试验

对啤酒废水进行了模拟土地快速渗滤处理的试验研究。模拟土柱经10个淹水期的生化培养期,其CODcr去除率达96％左右,BOD_5可达98％以上,且去除效果主要集中于系统上部约100cm厚的土层内。此外,还研究了影响快速渗滤系统净化效果的主要因素及其水力负荷周期、水力负荷率。     

人工湿地数学模型模拟与应用

人工湿地生态系统具有投资低、出水水质好、抗冲击力强、增加绿地面积和操作简单等优点,在国外得到了较好应用.综述了人工湿地净化技术及湿地模型的研究进展,重点介绍了国外已经成功验证与应用的3种人工湿地模型的开发情况.同时应用某人工湿地的实测数据,通过对模型的验证和率定,表明模型在评估湿地功能和优化设计上的实用性.最后,对人工湿地模拟模型的应用前景及存在问题进行了评述.     

模拟成藏地质填埋及诱导填埋有机质生气的理论初探

填埋处理和垃圾生物气的开发利用是实现城市生活垃圾资源化、无害化、减量化处理的有效途径,引入模拟生物气成藏和含气系统的思路,开展地质填埋与诱导填埋有机质生气研究是对能源地质学和填埋设计理念的新探索.通过对比研究地质填埋结构与地质学中生物气藏系统的异同点、生气机理和影响因素的共性与差异,初步论证了将模拟生物气藏理论引入地质填埋设计、优化地质填埋结构、提高填埋有机质生物气化效率和抽排利用效率的可行性;探讨了生物气藏理论在构建地质填埋结构中的可能应用和启示.研究表明:模拟生物气藏地质填埋设计和非常规生物气开发理念具有理论依据和现实基础;生物气藏生、储、盖要素和运、圈、保过程的模拟可应用于垃圾地质填埋场的构建,微生物地球化学理论有助于对诱导填埋有机质生气条件优化的认识.