低碳消费偏好与低碳产品需求分析

低碳消费方式是低碳经济的重要环节,本文对低碳消费偏好和低碳产品需求及其影响因素作了理论分析和实证研究.首先对低碳产品的消费偏好进行了分析,低碳产品消费偏好的两个最重要特征是二元价值结构的产品和超越基本价值的消费偏好,在此基础上构建了低碳产品效用函数.然后根据低碳产品效用函数给出了低碳产品的一般需求模式,结合低碳产品置信度变量的引进,构建了一个具体的低碳产品需求函数,并对低碳产品需求函数进行分析,揭示了低碳产品需求的一些基本性质.为了验证低碳消费理论分析的结论,做了低碳产品消费的问卷调查.对问卷调查进行统计分析,结果表明:收入越高,对低碳产品支付的价格就越高;低碳产品的环境价值置信度越高,意愿支付价格就越商;低碳产品碳排放量降低越多,低碳产品需求价格就越高.最后,结合以上分析,从低碳宣传和公益广告、设立低碳产品标准、鼓励低碳产品技术研发角度提出了促进低碳消费发展的政策建议.     

一种包埋微生物复合填料的制备及性能评价

采用包埋法制备出一种复合生物填料,测其各项理化性质,并以NO。模拟废气验证其脱硝性能。填料主要由碳酸钙、牛粪堆肥腐殖质、菌剂载体、水泥、轻质珍珠岩、立体网状纤维及脱硝功能微生物等复合而成,粒径书12mm×20mm,自然堆积密度（471±0．8）kg／m2,持水量（49±1．3）％,比表面积3．91m2／g,平均机械强度（427．3±0．2）N,pH为10．5-0．2。填料能长期在潮湿环境中保持良好的粘结强度,并具有营养缓释及pH缓冲能力。包埋脱硝功能微生物复合填料中初期微生物数量5．3×10^5 CFU／g,运行60d后微生物数量达到8．6×10 8 CFU／g,闲置停运30d微生物有所减少,但重启后净化效率基本不变。当进气负荷低于I878mg／（13m3·h）,气体停留时间为14．47s时,BF,的去除率高达93．15％。     

内蒙古锡林郭勒盟景观尺度土壤保持功能的空间分布

景观作为理解和塑造人类社会与环境最具操作性的尺度,其土壤保持功能是实现景观可持续性的重要条件。在遥感和GIS技术的支持下,采用改进的通用土壤流失方程(RUSLE)对内蒙古锡林郭勒盟景观土壤保持功能的空间分布进行研究。研究表明,研究区土壤保持总量为1.699×10~9 t?a~(-1),单位面积土壤保持量为85.39 t?hm~(-2)?a~(-1);土壤中N、P、K元素保持量分别为9.25×10~6 t?a~(-1)、6.14×10~6 t?a~(-1)、3.41×10~7 t?a~(-1)。按一级景观估算,土壤保持能力从强到弱依次为林地耕地草地住宅用地未利用地水域;按二级景观估算,土壤保持能力以灌木林地为最高,其次分别为有林地、疏林地、丘陵旱地、平原旱地、高盖度草原、山地旱地、中盖度草原,最差的是盐碱地和裸岩石质地。不同景观的土壤保持功能随植被覆盖度的增加呈非线性增长趋势,当植被覆盖度小于50%时,单位面积土壤保持量随植被覆盖度增大而缓慢增加;当植被覆盖度大于50%时,土壤保持功能随植被覆盖度增大而显著增加。因地制宜地提高研究区的植被覆盖度,合理配置景观空间分布格局,有助于景观服务功能的发展,从而对区域生态安全和人类福祉做出更大贡献。     

基于GIS的景观生态功能指标分析

针对当前我国规划及战略环评指标体系中缺乏直接反映生态功能指标的问题,提出可通过系统研究区域景观生态结构与景观功能变化间的关系,由斑块面积指数计算生物生产力、由景观香农多样性指数和景观香农均匀度指数反映生态质量,以此表征景观生态功能。以地理信息系统（GIS）为平台,提出了利用基于斑块面积而得到的景观要素转移矩阵及基于年鉴统计而得到的景观单位面积生物生产力的转移矩阵来计算生物生产力的方法,并在统计若干研究流域景观格局异质性指数文献的基础上发掘了景观多样性指数、景观均匀度指数与生态质量间的关系。最后,以江苏省沿江地区2000、2004年的数据开展了实例分析,结果表明,提出的生物生产力和生态质量这两个指标确实能反映区域景观功能的变化,在今后的规划和战略环评中具有一定的应用前景.     

MFAM模型在河流水质污染模拟及预测中的应用

文中以时间序列分析为基础，介绍了均值生成函数这一崭新概念，并且经成份因子提取分析推导建立了模拟序列的数字模型（简记为MFAM），经对黄河下游花园口断面的1988-1989年实测水质污染指标溶解氧（DO），氨氧，化学耗氧量（COD），五日生化需氧量（BOD5）等序列模拟，结果表明MFAM模型能较好地模拟河流水质污染指标的变化趋势，拟合平均误差只有5.2-6.4%，MFAM模型应用于预测1990-1991年水质污染指标变化，结果表明预测精度达85%以上，文中最后得出结论：MFAM模型应用于河流污染模拟和预测，是完全可行且十分方便。     

FLOOD FREQUENCY ANALYSIS FOR SMALL WATERSHEDS IN SOUTHERN ILLINOIS1

ABSTRACT: Twenty-two gaging stations were selected for developing a regional flood frequency curve for small (area less than 2 square miles) watersheds in southern Illinois. Five probability functions were compared, and the extreme value type I function was selected to develop the regional flood curve. The curve was generated with the index flood method and also another empirical method that related the function parameters to the watershed area. Estimated peak discharges with various return periods were compared with the results obtained from multiple regression analysis.     

Estimation of the shadow prices of pollutants with production/environment inefficiency taken into account: a nonparametric directional distance function approach

This paper deals with the estimation of the shadow prices of pollutants with a nonparametric directional distance function approach, where the inefficiency involved in the production process is taken into account unlike the previous studies. The directional vector, which is critical to the estimation and subject to the criterion for an appropriate efficiency rule proposed here, is calculated by using the annual plans of power plants in terms of production and environment. In the empirical study for Korea's electric power industry during the period of 1990-1995, we find that the average shadow prices of sulfur oxides (SOx), nitrogen oxides (NOx), and total suspended particulates (TSP) are approximately 10% lower than those calculated under the assumption of full efficiency. The methodology we propose and the findings obtained in the empirical study allow us to undertake better decision-making over a broad range of environmental policy issues.     

一维粘性泥石流运动的格子Boltzmann模拟

利用格子Boltzmann方法,对一维粘性泥石流的运动进行了定量化研究和数值模拟,为进一步研究泥石流的运动机制奠定了基础。在模拟一维粘性泥石流运动时,采用了含外力项的格子Boltzmann模型,通过对外力因子、平衡态分布函数的构造,使得宏观统计特性刻画了泥石流运动的非线性特征,成功模拟了泥石流的运动过程,获得了泥石流水深、流速两大要素的时空变化规律,为研究泥石流运动过程提供了一种新手段。     

Decision making under uncertainty in case of soil remediation

Decisions on soil remediation are one of the most difficult management issues of municipal and state agencies. The assessment of contamination is uncertain, the costs of remediation are high, and the impacts on the environment are multiple. This paper presents a general, transparent, and consistent method for decision making among the remediation alternatives. Soil washing, phytoremediation, and no remediation are exemplarily considered. Multi-criteria utility functions including (a) the cost of remediation (b) the impact on human health and agricultural productivity, and (c) the economic gain after remediation are constructed using probability density functions representing contamination for all site coordinates. Herewith, the probability of different types of (i) correct decisions such as a hit or a true rejection and (ii) erroneous decisions such as a false alarm or miss are examined. The decision theoretic model is applied to a case study on heavy metal contaminated soil. This case study reveals the non-linear structure of multi-criteria-decision making. The case study shows that the geostatistical uncertainties of the log-normal distributed soil contamination must be taken into account: When uncertainties are not considered and the utilities are assessed according to the estimated value for a spatial unit, only few (N=26) spatial units result where the utility score of the alternative soil washing are higher than the utility score to the no remediation alternative. However, when taking into account geostatistical uncertainties of the log-normal soil distribution this number is about ten times greater (N=237). Furthermore, the use of 'maximizing expected utility' as decision rule is critical in that it may lead to a high probability of misses.     

湿地功能变化与生态系统管理--以洞庭湖区双退垸为例

以调控湿地生态功能为途径,在分析双退垸次生湿地功能动态变化、现阶段功能特点及管理现状基础上,提出了洞庭湖区双退垸湿地生态系统可持续管理方案,并针对现阶段存在的管理问题提出具体对策.