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.     

阜新市城区大气环境容量核算结果及其应用

根据大量模式化参数，通过核算，得出了阜新市城区普通空气污染物的环境容量，给出了城区各分区及每个网格的分解量，应用这些成果，将对老污染源及新工业项目的环境管理，发挥极其重要的作用，对阜新市的可持续发展战略有着重要意义。     

本溪市区环境空气质量现状及变化趋势

对本溪市的环境空气质量进行了监测分析，结果表明：本溪市环境空气中TSP超过国家环境空气质量二级标准，SO2、NOx、CO、降尘均符合二级标准。其中TSP、SO2、CO、降尘呈下降趋势，NOx变化不明显。     

地理变异系数法和Fisher最优分割法在环境空气监测优化布点中的应用

在环境空气监测点位优化中,为反映优化后点位的整体代表性,需要在允许的测定误差内以最少的测点反映区域内较长时期的整体污染水平、污染分布状况和污染趋势.本文以博山城区为例,利用地理变异系数法和Fisher最优分割法对所布设点位进行数理统计.该方法使用简便,分级自然,避免了诸多人为因素的影响,同时,优选结果具有较强的整体代表性.     

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。     

家庭装修中的环保问题及预防措施

通过对我国室内空气污染现状的调查与对比,分析了我国室内空气污染的主要原因、特点和危害,提出了预防和治理室内空气污染的措施和方法.     

应用低温等离子体技术治理空气污染研究进展

低温等离子体技术在治理空气污染方面以其效率高、能耗低、适用范围广等特点而成为研究热点.本文介绍了低温等离子体的概念及分类,概述了国内外利用单一低温等离子体技术及其与吸附、催化协同、多性能颗粒混合物结合治理空气污染的最新进展,指出了存在的问题并讨论了今后的研究方向和应用前景.     

谈双鸭山市气象特征及地形特征对空气质量的影响

双鸭山市采暖期污染较重是因为采暖期燃煤量大、低矮分散的面源多的缘故,同时气象因素及地形特征对空气质量的影响也起着相当大的作用,采用2005年空气质量监测数据,进行双鸭山市气象特征及地形特征对空气质量影响分析,得出空气较稳定的取暖期和具有山风、谷风、局地环流的地形特征是形成双鸭山市空气污染的主要原因之一,并针对地形特征及气象特征对双鸭山市空气质量的影响提出空气污染治理措施.     

唐山市大气中多环芳烃污染现状研究

通过污染源调查和采集样品分析得出唐山市大气中多环芳烃污染现状，与国内外一些城市相比较，了解目前唐山市大气中多环芳烃污染水平。