Application of a temperature-dependent von Bertalanffy growth model to bullhead (Cottus gobio)

The most studied and commonly applied model of fish growth is the von Bertalanffy model. However, this model does not take water temperature into account, which is one of the most important environmental factors affecting the life cycle of fish, as many physiological processes that determine growth, e.g. metabolic rate and oxygen supply, are directly influenced by temperature. In the present study we propose a version of the von Bertalanffy growth model that includes mean annual water temperatures by correlating the growth coefficient, k, explicitly and the asymptotic length, L_∞, implicitly to water temperature. All relationships include parameters with an obvious biological relevance that makes them easier to identify. The model is used to fit growth data of bullhead (Cottus gobio) at different locations in the Bez River network (Drme, France). We show that temperature explains much of the growth variability at the different sampling sites of the network.     

浙江省火电行业主要污染物减排环境效益研究

利用美国环保局开发的新一代空气质量模式系统Models-3,对2010 年浙江省大气污染物进行数值模拟研究,并对SO₂、NO₂ 和PM₁₀ 等大气污染物浓度的模拟结果与监测结果进行了对比分析。结果表明,Models-3 系统能较好地反映浙江省的大气污染情况,模拟值与观测值的变化趋势具有较好的一致性,说明该模式能较好地进行大气污染物的分布特征和变化规律的研究。为定量分析电力行业多污染物协同控制与区域复合型大气污染之间的定量关系,评估不同控制情景下的环境质量效益,应用CMAQ 空气质量模型分别对2010 年基准排放情景和火电行业主要污染物(SO₂、NO_x 和烟尘)的三套减排控制情景,评价环境空气污染物SO₂、NO_x、PM_2.5 和PM₁₀ 状况进行模拟,评价污染物减排的环境效益。三套方案下PM_2.5 浓度下降比例分别为0.53%、0.55% 和0.57%,其中重点区域浓度下降比例分别为4.36%、4.38%和5.9%;PM₁₀ 浓度下降比例分别为0.40%、0.42% 和0.65%,重点区域下降比例分别为3.42%、5.82% 和8.16%;NO_x 浓度下降比例分别为12.4% 和13.3%,重点区域下降比例分别为13.8% 和16.9%;SO₂ 下降比例平均为11.24%,其中重点区域下降比例为14.4%。SO₂、NO_x 和烟(粉)尘协同减排对于浙江地区特别是重点区域的环境空气质量改善有着显著意义。     

废弃印刷线路板熔融盐气化特性:Ⅱ气化反应动力学模型

为评价不同气化方案对印刷线路板熔融盐气化的影响,针对印刷线路板的熔融盐气化反应过程建立了反应动力学模型.模型计算结果表明,气化反应体系首先发生CO、H2和焦炭的氧化反应.生成较大量的CO2和H2O2,此后反应体系内CO2和HO2与焦炭进行氧化还原反应而逐渐减少,在参加反应的焦炭被消耗完全后,反应体系随着水气变换可逆反应的平衡而达到平衡.     

全耦合活性污泥模型(FCASM3)Ⅰ:建模机理及数学表征

在充分分析活性污泥系统中生物反应机理的基础上,建立了活性污泥系统生物去除营养物质的细观机理模型--全耦合活性污泥模型(Fully Coupled Activated Sludge Model No.3,简称FCASM3).FCASM3将系统中微生物划分为8类菌群,包含31种组分、72个子过程;该模型的主要特点是将活性污泥系统中的微生物进一步细化,充分考虑了系统中微生物间的相互作用.FCASM3引入了硝化-反硝化过程中的中间产物亚硝酸盐.实现了对两步硝化-反硝化过程的模拟;FCASM3不仅包含聚糖菌的有关生物反应过程,而且还考虑了聚磷菌(非反硝化聚磷菌和反硝化聚磷菌)以及聚糖菌的厌氧维持过程,为直接体现温度对生物反应的影响,FCASM3将温度作为一个变量直接耦合到生物反应速率方程中.     

全耦合活性污泥模型(FCASM3)Ⅱ:模型校验

以采用AAO污水处理工艺的德清县狮山污水处理厂作为全耦合活性污泥模型(FCASM3)校验的现场试验基地,分别进行了常规水质指标测定和进水水质特征分析等试验研究,依据现场试验结果,完成了对活性污泥系统生物去除营养物质细观机理模型FCASM3的校验工作,动态校验结果表明,FCASM3模型可以对AAO连续流工艺系统实现较准确的细观模拟,营养物质生物去除过程的动态数值模拟结果与实测结果相一致.     

循环经济调控模式研究

借鉴国内外循环经济探索的最新成果,立足国情,研究提出发展循环经济的基本模式和政策措施,主要内容包括四个方面:循环经济理论;国外发展循环经济的实践与探索;我国发展循环经济的基本模式;我国发展循环经济的政策措施。     

西安市LUCC预测生态系统服务价值损失

人类活动作用于土地资源,使LUCC（土地利用／土地覆被变化）在全球环境变化过程中起主导作用,随着国际LUCC研究计划的进展,各国依据本国的实际情况开展研究。对西安市以往五年（2000-2004年）的土地利用基础数据开展调查统计分析,建立灰色系统动态GM（1,1）模型,预测2005—2010年西安市土地利用结构变化状况,尝试计算西安市土地生态系统服务价值损失（简称生态损失）,用一种直观经济指标-货币来反映这种生态损失。预测2010年西安市生态损失为331、84×10^6元。     

Simulation analysis of environmental risk accident and management of high-sulfur gas field development in complex terrain

Environmental risk of high sulfur gas field exploitation has become one of the hot spots of environmental management studies. Severe gas H₂S blowout accidents in recent years have shown that poor understanding and estimates of the poisonous gas movement could lead to dangerous evacuation delays. It is important to evaluate the real concentration of H₂S, especially in complex terrain. Traditional experiential models are not valid in the case of rough terrain, especially in low-lying areas where the gas accumulates. This study, using high sulfur content gas field of Sichuan “Pu Guang gas field” as study object and adopting objective diagnosis of wind field of land following coordinate three dimensions, applied Lagrangian Puff Model and breaking up technique of puffs to simulate the H₂S diffusion condition of blowout accidents produced in the high sulfur content gas field of complex terrain area. The results showed that the H₂S distribution did not occur mainly in low wind direction, and due to the obstruction of the mountain’s body, it accumulated in front of mountain on produced turn over, flowed around submitted jumping type distribution. The mountain waist near the hilltop and low hollow river valley site rapture points simulating contrast showed that the higher the rapture point, the better the diffusing condition of pollutant, the distribution of risk sensitive point decided piping rupture environmental risk size combining the H₂S diffusion result and residential area dispersing in the study area, synthetic judge located in the high rapture point environmental risk was smaller than the low hollow point, thus it was suggested to carryout laying of lining build of equal high line of higher terrain. According to simulation results, the environmental risk management measures aimed at putting down adverse effects were worked out.     

国家环境保护模范城市现状分析及展望

改革开放以来,在我国经济快速发展的同时,产生了巨大的环境问题,为此,原国家环保总局审时度势,开展了创建国家环境保护模范城市的活动。本文对“创模”考核指标的调整情况进行概括,从总体情况、所属行政区、所属行政区级别、面积4个方面对目前“环保模范”城市状况进行了深入地分析,并对日后的“创模”工作进行了展望。     

Modelling forest management within a global vegetation model—Part 2: Model validation from a tree to a continental scale

The construction of a new forest management module (FMM) within the ORCHIDEE global vegetation model (GVM) allows a realistic simulation of biomass changes during the life cycle of a forest, which makes many biomass datasets suitable as validation data for the coupled ORCHIDEE-FM GVM. This study uses three datasets to validate ORCHIDEE-FM at different temporal and spatial scales: permanent monitoring plots, yield tables, and the French national inventory data. The last dataset has sufficient geospatial coverage to allow a novel type of validation: inventory plots can be used to produce continuous maps that can be compared to continuous simulations for regional trends in standing volumes and volume increments. ORCHIDEE-FM performs better than simple statistical models for stand-level variables, which include tree density, basal area, standing volume, average circumference and height, when management intensity and initial conditions are known: model efficiency is improved by an average of 0.11, and its average bias does not exceed 25%. The performance of the model is less satisfying for tree-level variables, including extreme circumferences, tree circumference distribution and competition indices, or when management and initial conditions are unknown. At the regional level, when climate forcing is accurate for precipitation, ORCHIDEE-FM is able to reproduce most productivity patterns in France, such as the local lows of needleleaves in the Parisian basin and of broadleaves in south-central France. The simulation of water stress effects on biomass in the Mediterranean region, however, remains problematic, as does the simulation of the wood increment for coniferous trees. These pitfalls pertain to the general ORCHIDEE model rather than to the FMM. Overall, with an average bias seldom exceeding 40%, the performance of ORCHIDEE-FM is deemed reliable to use it as a new modelling tool in the study of the effects of interactions between forest management and climate on biomass stocks of forests across a range of scales from plot to country.