大同市土地退化现状与动态变化研究

通过对大同市水土流失现状与动态变化、土地盐渍化和耕地数量与质量情况动态变化、土地沙漠化现状与动态变化的现状调查来分析大同市土地退化的主要成因以及采取的环境保护对策与建议.     

20世纪80年代以来挠力河流域湿地景观变化过程研究

挠力河流域面积为241.67×104hm₂。其自然条件决定了该流域具有极丰富的湿地生物多样性。从1980年以来,由于经济的快速发展,该流域湿地景观和土地利用发生了显著的变化。自然湿地资源从1982年的53.32×104hm₂变成2000年的17.17×104hm₂,减少了67.8%;而水田面积却增加了38.5倍,同时,旱田面积也大幅度增加。该文利用遥感和GIS技术,对近20年来该流域湿地景观变化过程进行时空定量分析;并结合流域土地利用/土地覆盖类型的动态变化,探讨流域在经济快速发展中土地利用与湿地之间的演化规律及其对湿地的影响机制。     

全球环境变化的系统研究方法浅议

论文总结和分析了数据获取现代技术手段、地理信息系统、数学模型和地学信息图谱的研究进展,从地球信息科学的角度探讨了我国全球环境变化的系统研究方法。     

奈曼旗沙漠化土地动态变化分析

本文利用两期TM卫片对奈曼旗五个苏木的沙漠化土地动态进行了分析。10年间沙漠伦土地总面积减少了457.82km^2，但同期耕地面积净增加了394.08km^2；同时，流动沙地面积增加了139.62km^2，图斑数降低到了50％，流动沙地明显扩展，斑块间发生合并，集中连片的趋势严峻。不同苏木沙漠化土地变化表明，土地利用方式对其有明显影响。     

太湖流域水污染对太湖水质的影响分析

从太湖地区(苏州、无锡、常州、杭州、嘉兴和湖州)的污染物排放量、水质监测结果，以及工农业发展、人口变化、人民生活水平的提高、东太湖萎缩，底泥中营养物的变化和湖泊生态系统失衡的特点入手，分析了太湖流域水污染现状。结果表明，工业废水排放量高于城镇生活废水排放量；太湖湖体、环湖河流水质与省、市边界断面主要超标项目分别为：总磷、总氮和氨氮；水体水质演变是由工农业迅速发展、人口过度增加、污染防治措施相对滞后，以及太湖水生态系统失衡等原因造成的。     

Climate Change and Energy Technologies

The long time scale of the climate change problem and the inherent nature of the carbon cycle bring important implications for present technology development efforts. Even if major technology improvements are achieved for non-carbon-emitting technologies such as energy-intensity improvements, wind, solar, biomass, and nuclear over the course of the 21^st century, most examinations of potential future greenhouse emissions conclude that additional technology development will be required to stabilize greenhouse gas concentrations. The evelopment of an expanded suite of technologies including carbon capture and disposal, hydrogen systems and biotechnology hold the potential to dramatically reduce the cost of stabilizing greenhouse gas concentrations. This paper examines these technologies in the context of a global integrated assessment model of energy, agriculture, land-use, economics, and carbon cycle processes.     

尿氚的分析测量和氚人体半排期的实验研究

用液体闪烁计数法测定了本所老点核退役过程中直接和间接接触氚工作人员的尿样几十个 ,氚浓度在 1 0 2 ～ 1 0 5 Bq/L ,最大氚浓度为 2 7× 1 0 5 Bq/L ,折合剂量当量约为 0 1 9mSv。短期观测 2 3名人体氚半排期 ,其范围为 5 5～ 1 4 8d ,中期观测 5名人体氚半排期 ,其范围为 7 6～ 9 4d。 2 8名人员半排期不仅与理论值 1 0d接近 ,而且与国内外的观测值十分符合。     

利用轨迹模式模拟近地层臭氧日变化

提出在多条轨迹上应用轨迹模式，以实现对固 区臭氧浓度日变化的模拟，应用该方法对北京燕山石化炼油厂地区的Ｏ３浓度日变化进行了模拟，结果表明模拟值和实测值十分吻和。进一步模拟了当地的臭氧生物特征，并讨论了当地的气象条件和源排放对Ｏ３生成浓度的影响。结果说明削减ＮＯｘ的排放量是控制该地区光化学烟雾形成的关键，而降低燃烃和芳香烃在排放物中所占的比例也是控制该地区光学烟雾的重要手段。     

Scale,context, and decision making in agricultural adaptation to climate variability and change

This work presents a framework for viewing agricultural adaptation, emphasizing the multiple spatial and temporal scales on which individuals and institutions process information on changes in their environment. The framework is offered as a means to gain perspective on the role of climate variability and change in agricultural adaptation, and developed for a case study of Australian agriculture. To study adaptation issues at the scale of individual farms we developed a simple modelling framework. The model highlights the decision making element of adaptation in light of uncertainty, and underscores the importance of decision information related to climate variability. Model results show that the assumption of perfect information for farmers systematically overpredicts adaptive performance. The results also suggest that farmers who make tactical planting decisions on the basis of historical climate information are outperformed by those who use even moderately successful seasonal forecast information. Analysis at continental scales highlights the prominent role of the decline in economic operating conditions on Australian agriculture. Examples from segments of the agricultural industry in Australia are given to illustrate the importance of appropriate scale attribution in adapting to environmental changes. In particular, adaptations oriented toward short time scale changes in the farming environment (droughts, market fluctuations) can be limited in their efficacy by constraints imposed by broad changes in the soil/water base and economic environment occuring over longer time scales. The case study also makes the point that adaptation must be defined in reference to some goal, which is ultimately a social and political exercise. Overall, this study highlights the importance of allowing more complexity (limited information, risk aversion, cross-scale interactions, mis-attribution of cause and effect, background context, identification of goals) in representing adaptation processes in climate change studies.