Study of prediction for groundwater contamination in wastewater land treatment system

This paper uses a prediction model of groundwater pollution based on the experiments in the laboratory and in field .The model, which was tested and calibrated by the field observated data ,satisfactorily simulated the field conditions in land treatment system of wastewater . Particularly , the model can provide the reliable pollution prediction of heavy metals , organisms and nitrogen . The model was used to predict the groundwater pollution caused by the land treatment system in the region of North China . The calibration of the model showed that correlation coefficients between the tested and predictive data of Cr6+. As3+, organism and NH4+ could reach 0.990, which proved that the model possessed the realistic instructive significance for design and use of wastewater land treatment systems .     

Developing Canada's National Forest Carbon Monitoring, Accounting and Reporting System to Meet the Reporting Requirements of the Kyoto Protocol

The rate of carbon accumulation in the atmosphere can be reduced by decreasing emissions from the burning of fossil fuels and by increasing the net uptake (or reducing the net loss) of carbon in terrestrial (and aquatic) ecosystems. The Kyoto Protocol addresses both the release and uptake of carbon. Canada is developing a National Forest Carbon Monitoring, Accounting and Reporting System in support of its international obligations to report greenhouse gas sources and sinks. This system employs forest-inventory data, growth and yield information, and statistics on natural disturbances, management actions and land-use change to estimate forest carbon stocks, changes in carbon stocks, and emissions of non-CO₂ greenhouse gases. A key component of the system is the Carbon Budget Model of the Canadian Forest Sector (CBM-CFS). The model is undergoing extensive revisions to enable analyses at four spatial scales (national, provincial, forest management unit and stand) and in annual time steps. The model and the supporting databases can be used to assess carbon-stock changes between 1990 and the present, and to predict future carbon-stock changes based on scenarios of future disturbance rates and management actions.     

课堂教学案例开发的思考和实践

本文通过对教学案例涵义及类型进行分析,提出教学案例开发思路与方法,说明案例开发在培养人才中的作用和意义。     

模拟消落带水华暴发行为的数值沙堆模型

以长江最大支流汉江近年来水华污染的现场资料为例,通过氮磷浓度、水温、流速和光照等实测数据构建了消落带开放水域环境体系的数值沙堆模型,描述了藻类生长及水华暴发的动力学机制;利用数值沙堆系统崩塌行为反映出的频率-尺度幂律关系作为判断消落带水域是否暴发水华以及规模大小的依据,采用有限尺度标度分析从不同侧面验证了水华暴发系统的自组织临界性,并揭示出各种拟合参数与水华暴发规模之间的定量关系.研究表明,沙堆模型如果存在良好的幂律关系,相应的消落带水域将暴发水华,且幂律指数越大,水华污染程度越严重.     

环境风险评价中若干问题探讨

社会经济的高速发展,也诱发了新的环境风险可能性的发生,特别是近年来的多种环境风险灾害事故的发生已引起了各国和国际组织的普遍关注。环境风险评价与环境风险管理已成为保护生态环境、维护公众健康的重要内容和制定决策的重要依据。文章结合目前环境风险评价的发展,探讨有关两大类环境风险评价(突发性与非突发性)以及环境风险评价与安全评价的区别,环境风险评价评估标准以及环境风险评价与城市环境管理的一些问题。     

Toxic effects of wastewater from various phases of monosodium glutamate production on seed germination and root elongation of crops

To make a comprehensive assessment on monosodium glutamate (MSG) wastewater pollution, a pollution exposure experiment was carried out on the seed germination and root elongation of wheat, Chinese cabbage and tomato by using the wastewater discharged from different processing phases of MSG production. The results showed that there were significantly positive linear relationships between the inhibitory rates of wheat seed germination and root elongation and the COD_cr of the mother liquor scraps. The toxicity of MSG wastewater to the test crops was in the order of tomato > Chinese cabbage > wheat, indicating that tomato was the most sensitive to the wastewater, and could be considered as an ideal toxic bioindicator. The half-effect concentrations (IC₅₀) based on the seed germination and root elongation of the test crops exposed to the wastewater discharged from various processing phases of MSG production was 22.0–32 432 and 17.3–3320 mg/L, respectively. Translated from Chinese Journal of Applied Ecology, 2006, 17(7): 1286–1290 [译自: 应用生态学报]     

城市生活垃圾场处理技术模糊综合评价

通过对一个待建的城市生活垃圾场处理技术的综合分析，建立一个相对完整的指标体系，然后用模糊数学的方法，对指标体系进行量化、归一化，得到一个通用的评价模型，并运用此模型对该垃圾的垃圾处理方式进行评价，最后提出卫生填埋是当前较为合理的处理方式。     

洪水入海对养殖环境影响的数值分析

基于三维流体动力学和热力学原始方程 ,采用σ坐标变换技术 ,建立了三维斜压场数值模型。模型采用ADI格式求解连续方程和动量方程 ,采用FS法和TVD格式求解各标量方程 ,从而使模型的精度提高到二阶 ,并且节省运算时间。利用建立的三维斜压场数值模型 ,对鸭绿江洪水期形成的低盐水体的分布进行了数值模拟 ,进而分析了鸭绿江洪水入海对黄海北部海域的海水养殖业的可能影响。鸭绿江特大泄洪形成的超低盐混浊水体入侵 ,是筏养扇贝致死的主要原因。及时预报大洪水影响下的低盐水体分布 ,可有效地防止洪水污损灾害。     

上海市在用车推行I/M制度中检测方法的研究

对在用车实施I/M制度，采用底盘测功机模拟道路工况检测汽车排放污染物，按美国国家环保局（EPA）推荐的方法有3种：瞬态短工总法（IM240）、稳态加速模拟工况法（ASM）和瞬态短工部简易质量分析检测法（VMAS）。根据上海市的试验结果，对上述3种方法的检测精度、设备投资以及运行维护诸方面进行分析比较，阐明上海市采用VMAS方法的依据和应注意的问题，并对应采用的模拟道路工况提出了看法。     

基于人工神经网络的行业无害化生产能力评价模型研究

利用BP前向人工神经网络方法 ,建立了一种全新的基于人工神经网络的行业无害化生产能力评价模型 ,该模型采用动量梯度下降反向传播和学习速率自适应调整相结合的训练学习算法。最后 ,以造纸及纸制品业为例 ,对中国各省市造纸行业的无害化生产能力进行评价 ;并进一步分析中国各省造纸行业无害化生产能力的时空分布规律 ,为我国行业规划、布局决策提供科学依据。