揭开武汉东湖蓝藻水华消失之谜

水华（亦称湖靛）是湖泊富营养化最恶劣的表征之一。武汉东湖７０年代至１９８４年间每年夏季出现蓝藻水华,１９８５年起突然消失,至今已有１４年没有重现,原因何在？通过三次设在湖里的围隔试验,证明鲢鳙的大量放养,是水华消失的决定性因素。     

以人为本的城市安全发展观探讨

随着城市化的进程加速 ,我国城市规划建设存在着民房拆迁安置、农民失地就业、环境严重污染、防洪防灾能力薄弱等诸多问题 ,且片面追求建设速度 ,片面强调降低建筑成本 ,不顾损坏资源环境和超过群众承受能力 ,而背离了社会效益、企业利益和个人权益多赢的以人为本的城市安全发展。笔者提出了城市安全发展观的内涵、重要意义及其实现途径 ,愿与同行共酌探讨。     

三峡库区重庆段鲶鱼和鲤鱼体内持久性有机污染物分析

为了了解三峡库区重庆段水体中持久性有机污染物的生物富集情况,对该水体部分鱼类样品进行了分析。分析结果显示三峡库区重庆段水体中的部分持久性有机污染物已经在鲶鱼和鲤鱼体内形成富集,其检出浓度较之水体中对应浓度要高出2~4个数量级。     

钻井环境污染源头控制技术综述

通过对国内外石油行业的钻井环境污染源头控制技术的简单综述,分析了钻井工艺可采用小孔径钻井、连续软管工艺、新型固控设施等的技术特点,对选择合适的钻井液以及应用环保型钻井液来减轻污染方面进行了探讨。并展望了我国石油行业钻井环境污染源头控制技术的发展。     

如何浅开谈展石环油境石应化企急工业作

根据石化企业环境应急工作面临的任务和国内外发展趋势,对企业的环境应急现状和存在问题进行了分析和评价,论述了开展环境应急工作的必要性和紧迫性,探讨了石化企业开展环境应急工作的指导思想和方法。     

改进的灰色关联分析在滑坡危险性评价中的应用——以广东省滑坡危险性评价为例

利用改进的灰色关联分析方法,采用“中心化”无量纲的处理方法,对广东滑坡灾害危险性的影响因素进行灰色关联度分析。通过地形地貌条件、地层岩性特征、地质构造特征、岩土体结构特性、水文地质条件、植被覆盖率、降雨分布、地震、人类经济工程活动等9个评价因素与滑坡危险性的关联度计算,得出各影响因素与滑坡危险性评价的关系,具有一定的客观性、科学性和合理性。     

岩溶地基土洞塌陷评价及处理

地下水(地表水)产生的渗透潜蚀作用、崩解作用等是土洞形成和发展的重要原因。对工程实例中的土洞,采用极限平衡法和压力拱分析法进行了稳定性判别。在土洞中充填砼,然后采用压力灌浆,灌浆所采用的水灰比为1∶1~1∶1.5,灌浆压力一般为0.15~0.30 MPa,地基处理效果好。     

Decomposition Analysis of Sectoral Energy Use in Beijing （1981-2005） Using the LMDI Method

This paper aims to identify the main driving force for changes of total primary energy consumption in Beijing during the period of 1981-2005. Sectoral energy use was investigated when regional economic structure changed significantly. The changes of total primary energy consumption in Beijing are decomposed into production effects, structural effects and intensity effects using the additive version of the logarithmic mean Divisia index （LMDI） method. Aggregate decomposition analysis showed that the major contributor of total effect was made by the production effect followed by the intensity effect, and the structural effect was relatively insignificant. The total and production effects were all positive. In contrast, the structural effect and intensity effect were all negative. Sectoral decomposition investigation indicated that the most effective way to slow down the growth rate of total primary energy consumption （TPEC） was to reduce the production of the energy-intensive industrial sectors and improving industrial energy intensity. The results show that in this period, Beijing＇s economy has undergone a transformation from an industrial to a service economy. However, the structures of sectoral energy use have not been changed yet, and energy demand should be increasing until the energy-intensive industrial production to be reduced and energy intensity of the region reaches a peak. As sequence energy consumption data of sub-sectors are not available, only the fundamental three sectors are considered： agriculture, industry and service. However, further decomposition into secondary and tertiary sectors is definitely needed for detailed investigations.