山东半岛城市群地区空间极化及其影响因素研究

以县（市）作为研究单元,采用综合指数法,分别计算山东半岛城市群1986、2008年经济社会发展综合指数,通过比较各单元经济社会发展综合指数的变化,研究了20世纪80年代以来山东半岛城市群地区空间极化的特点;采用面板数据模型,定量探讨了山东半岛城市群地区空间极化的影响因素。研究表明：山东半岛城市群地区经济活动有明显的经济中心指向、沿海指向,空间发展依然以极化为主,新的发展极已经出现,但分布在区域的边缘地带,带动作用不大;大都市区整体规模加剧膨胀,核心和外围地区出现极化和反极化现象;东部地区出现网络化发展的雏形。原有经济基础、产业结构转换能力和经济全球化水平是改革开放以来山东半岛城市群地区空间极化的主要影响因素     

火电厂烟气排放对广州大气环境的影响

广州市是酸雨、可吸入颗粒物污染严重的地区之一,这与其能源结构以煤为主有关.广州发电厂以燃煤为主,其周围大气采样数据分析显示燃煤电厂可对周围大气环境造成较大影响,是酸雨前体物、可吸入颗粒物的主要排放源.酸雨破坏了生态环境,也阻碍了经济的发展;燃煤排放的烟尘细颗粒物属于可吸入颗粒物,其上附着的As、Cr等微量元素多为致癌物质和致基因毒性诱变物质,对周围居民的健康危害极大.最后, 对当前的环境保护工作及存在的问题进行了阐述.     

室内环境污染危害及防治

介绍了我国室内环境污染问题的现状和室内环境中的主要污染物及其来源, 分析了室内环境污染对人体健康的危害,提出了针对室内环境污染的防治措施.     

清江高坝洲津洋口防护区水环境污染治理

介绍了湖北省清江高坝洲津洋口防护区的概况,对津洋口防护区水环境污染现状进行了分析和调查研究,同时得出了防护区的主要污染为工业废水污染.计算了津洋口防护区丹水河的水环境容量,并据此提出水环境污染治理方案.     

成都市城区大气细颗粒物水溶性离子污染特征

为了解成都市城区大气细颗粒物水溶性离子污染特征,在成都市城区四季采集PM2.5有效样品共计102个,测得颗粒物质量浓度以及水溶性离子质量浓度(NH4+、Ca2+、Na+、Mg2+、K+、F-、NO3-、SO42-、Cl-),并分析其浓度变化特征,重点关注二次无机离子的污染特征及形成影响.结果表明,成都市城区水溶性离子与...     

澳门特别行政区土壤自然消减能力与污染背景

澳门是我国人口密度最大的城市.选择澳门特别行政区不同功能区绿地土壤为研究对象,首先,通过野外布点采样,调查分析了表层土壤中9种重金属元素(Cr、Ni、Cu、Cd、Pb、Cr、Zn、As、Hg)和16种优先控制多环芳烃(PAHs)的分布特征;其次,利用累积频率分布曲线法估算了土壤重金属和PAHs的土壤污染背景;最后,基于...     

乌鲁木齐市一次冷空气过境天气对空气污染的影响分析

根据对2006年11月20～28日乌鲁木齐市出现冷空气过境天气过程的天气形式和主要气象要素及空气污染变化情况进行的分析,结果表明:冷空气过境天气前后,诸多气象要素发生了变化,冷空气导致逆温层的破坏和降水过程使各项污染物均得到有效的清除.通过此分析可为类似天气的空气质量预报提供思路.     

Adaptation Bridges and Barriers in Water Planning and Management: Insight from Recent Extreme Droughts in Arizona and Georgia1

Abstract: It is critical to understand the ability of water management to prepare for and respond to the likely increasing duration, frequency, and intensity of droughts brought about by climate variability and change. This article evaluates this ability, or adaptive capacity, within large urban community water systems (CWSs) in Arizona and Georgia. It analyzes interview data on the bridges and barriers to adapting water management approaches in relation to extreme droughts over the past decade. This study not only finds levers for building adaptive capacity that are unique to each state but also identifies several unifying themes that cut across both cases. The interviews also show that a particular bridge or barrier, such as state regulation, is not universally beneficial or detrimental for building adaptive capacity within each state. Such knowledge is useful for improving water and drought management and for understanding how CWSs might prepare for future climate variability and change by removing the barriers and bolstering the bridges in efforts to build adaptive capacity.     

房地产用地土壤污染环境风险评价——以江苏某搬迁企业原址用地为例

许多房地产项目都是在工业企业原址上进行开发建设,可能存在不同程度的土壤污染。土壤污染的评估和修复方案已成为房地产开发项目环评的重点,文中采用单因子指数法、内梅罗指数法和土壤背景值对照法对江苏某房地产用地土壤进行了环境风险评价,结果表明该地块不需要进行土壤修复和处置。     

Using the land transformation model to forecast vacant land

Growing or shrinking cities can experience increases in vacant land. As urban populations and boundaries fluctuate, holes can open in once tight urban areas. Many cities chase growth-oriented approaches to dealing with vacancies. It is critical to understand land-use alteration to accurately predict transformations of physical change in order to make better informed decisions about this phenomenon. This research utilizes the land transformation model (LTM), an artificial neural networking mechanism in Geographic Information Systems, to forecast vacant land. Variable influence on vacant land prediction and accuracy of the LTM is assessed by comparing input factors and patterns, using time-series data from 1990 to 2010 in Fort Worth, Texas, USA. Results indicate that the LTM can be useful in simulating vacant land-use changes but more precise mechanisms are necessary to increase accuracy. This will allow for more proactive decisions to better regulate the process of urban decline and regeneration.