澳电子产品废弃物激增

澳大利亚统计局最近公布的废弃物统计显示，其国内电脑、电视机、移动电话等电子产品废弃物的增长速度超过一般垃圾增长速度3倍。2002年国内总量为3240万t，比1996年增长了970万t。其中，送往垃圾填埋场填埋的超过1700万t。环保专家指出，澳大利亚是世界上少有的新技术消费大国，每年购买的个人电脑和电视机分别超过240万台和100万台。     

旧电器赠灾区爱心可能带去生态危机

目前，在我国大城市，电子产品的报废高潮．正裹挟着生态和健康危机汹涌而来。据绿色和平环保组织有毒物污染防治项目组负责人梅家永介绍，就拿个人电脑来说，由700多种化学原料组成，其中一半以上对人体有害。这些危险化学原料会引起严重的污染，即使很少的分量也会危害儿童和正在发育中的胎儿。     

Assessment of temporal and spatial variations in water quality using multivariate statistical methods： a case study of the Xin＇anjiang River,China

This study evaluated the temporal and spatial variations of water quality data sets for the Xin＇anjiang River through the use of multivariate statistical techniques, including cluster analysis （CA）, discriminant analysis （DA）, correlation analysis, and principal component analysis （PCA）. The water samples, measured by ten parameters, were collected every month for three years （2008-2010） from eight sampling stations located along the river. The hierarchical CA classified the 12 months into three periods （First, Second and Third Period） and the eight sampling sites into three groups （Groups 1, 2 and 3） based on seasonal differences and various pollution levels caused by physicochemical properties and anthropogenic activ- ities. DA identified three significant parameters （tempera- ture, pH and E.coli） to distinguish temporal groups with close to 76% correct assignment. The DA also discovered five parameters （temperature, electricity conductivity, total nitrogen, chemical oxygen demand and total phosphorus） for spatial variation analysis, with 80.56% correct assignment. The non-parametric correlation coefficient （Spear- man R） explained the relationship between the water quality parameters and the basin characteristics, and the GIS made the results visual and direct. The PCA identified four PCs for Groups 1 and 2, and three PCs for Group 3. These PCs captured 68.94%, 67.48% and 70.35% of the total variance of Groups 1, 2 and 3, respectively. Although natural pollution affects the Xin＇anjiang River, the main sources of pollution included agricultural activities, industrial waste, and domestic wastewater.