Design of water quality monitoring networks with two information scenarios in tropical Andean basins

Design and redesign of water quality monitoring networks were evaluated for two similarly sized watersheds in the tropical Andes via optimization techniques using geographic information system technology (GIS) and a matter-element analysis of 5-day biological oxygen demand (BOD₅) and total suspended solids (TSS). This resulted in a flexible, objectively based design for a 1128-km² watershed without prior water quality data (La Miel River), and a network redesign of a 1052-km² watershed with historical water quality monitoring (Chinchiná River). Monitoring design for the undocumented basin incorporated mathematical expressions for physical, anthropological, and historical factors—and was based on clear objectives for diagnosis and intervention of water pollution. Network redesign identified network redundancy, which resulted in a 64% reduction in the number of water quality monitoring stations along the channel, and a 78% reduction of stations throughout the basin. Most tropical drainage basins throughout the world have little to no prior water quality data. But even in well-studied drainage basins like the Chinchiná River, which is among the most thoroughly studied basins in Colombia, redesign of historical and existing monitoring networks will become a standard tool to advance the restoration of polluted surface waters, not only in Colombia, but also throughout the world.     

Optimum ridge-to-furrow ratio in ridge-furrow mulching systems for improving water conservation in maize (Zea may L.) production

Environmental Science and Pollution Research - Water-saving cultivation techniques have been attracting increased attention worldwide. Ridge-furrow mulching system (RFMS), as a prospective...     

Vegetation cover and rainfall seasonality impact nutrient loss via runoff and erosion in the Colombian Andes

Regional Environmental Change - Mountain ecosystems provide key services to a large portion of the population in the tropics. However, they are particularly vulnerable to regional environmental...     

路面径流的大肠菌群污染及其雨水花园处理

调查了上海市区路面径流中大肠菌群的污染状况,分析了径流中大肠菌群含量的主要影响因素,采用雨水花园模拟柱,考察雨水花园对城市路面径流中大肠菌群的去除效果。结果表明,上海市区地面道路径流中总大肠菌群、粪大肠菌群的均值分别为2.28×106、9.48×105cfu/100 m L,污染较严重,径流中大肠菌群含量与气温呈正相关;雨水花园对径流中大肠菌群具有良好的去除效果,不同模拟柱平均去除率范围在92.4%~99.5%。填料深度和水力停留时间是影响雨水花园对大肠菌群去除效果的主要因素。长期运行后,填料中没有大肠菌群的积累,雨水花园对大肠菌群的去除效果可保持长期稳定。     

煤粉炉掺烧干化污泥的污染物排放研究

结合某电厂420 t/h四角煤粉炉掺烧污泥项目的实验室分析测试,了解煤粉掺烧不同含水率不同比例的干化污泥条件下烟气中污染物和灰渣中重金属的排放特性。结果表明,在实验研究配比和燃烧的条件下,大部分重金属元素Pb、Cu、Cr和Ni残留在灰渣中,Zn、Cd部分残留在灰渣中,As、Hg和Se等易挥发元素释放到烟气中,在灰渣中的含量很小。掺烧污泥后,灰渣中的重金属含量较单烧单煤都有了一定幅度的升高,Zn的含量是单煤的2倍,其余重金属是单煤的1.1~1.2倍。3种不同的掺混比例之间的污染气体排放浓度基本相似。烟气中主要污染物及重金属浓度可以满足现行国家标准。与单烧单煤相比,CO、HCl以及其他有机气体排放浓度基本相同;NH3的排放浓度较单煤有所升高;SO2、NOx和CO2排放浓度略有降低;飞灰浓度有所升高。烟气中的重金属,Hg含量升高了30%,Pb含量约为单煤的4.3~4.8倍。以上研究结果可为环保达标和飞灰利用提供基础数据。     

江汉平原土地利用对钉螺分布的影响研究

分析了江汉平原2009年易于钉螺孳生的3种土地利用类型（滩地、河渠和水田）比例与钉螺密度的关系。首先,在ERDAS9.2和ENVI4.7软件中对江汉平原2009年的Landsat5TM遥感影像进行了预处理。在已有的多期土地利用数据的基础上,借助eCognition软件利用向量相似度指标来提取土地利用变化区域,结合目视解译经验并运用遥感指标通过建立规则集对变化区域进行分类,将变化区域的分类结果更新2000年数据,得到了该区域2009年的土地利用数据。接下来,整理了江汉平原2009年螺情资料并计算出村级钉螺平均密度,绘制了2009年钉螺分布图。将绘制的钉螺分布图与土地利用分类图叠置分析,并结合收集的螺情数据确定了钉螺易于孳生的3种土地利用类型,分别为滩地、河渠和水田。最后,将钉螺密度与这3种土地利用比例进行线性回归分析。研究结果表明,钉螺密度与这三种土地利用类型比例存在线性回归关系,模型精度为R2=0857。该结论对通过遥感影像来估算钉螺密度具有指导意义,另外也可以为湖北省提出合理用地和灭螺并重的土地利用模式提供一定的科学参考     

广东某大型城市生活垃圾焚烧厂9种重金属的迁移特征

采集广东某大型城市生活垃圾焚烧厂一期(WI-A)和二期(WI-B)的进厂垃圾、渗滤液、飞灰、底渣和烟气样品,分析了各样品中砷、镉、钴、铬、铜、汞、镍、铅、锌共9种重金属含量,研究重金属的迁移特征。结果显示,9种重金属呈现4类不同的迁移特征,钴、铜、镍、铬主要迁移至底渣中,锌、砷、铅主要迁移至底渣和飞灰中,镉主要迁移至飞灰中,汞主要迁移至飞灰和烟气中。活性炭吸附和布袋除尘器的组合对除汞以外的重金属治理效果明显。WI-A和WI-B垃圾中的汞分别约有28%、37%随烟气排到环境中。     

纳米TiO2-石墨烯光催化剂的水热合成及其光催化性能

以钛酸四正丁酯和石墨为原料,通过水热法制备了锐钛矿型为主的纳米TiO2复合光催化剂（纳米TiO2-石墨烯）,并采用XRD,FTIR,FESEM,TEM技术对其进行了表征。通过紫外光照射降解溶液中的罗丹明B（RhB）研究了TiO2-石墨烯的光催化活性,分析了初始罗丹明B质量浓度、催化剂加入量、溶液pH和催化剂使用次数等影响降解效果的因素。实验结果表明：在初始RhB质量浓度为20 mg/L、溶液pH为7.10、催化剂加入量为1.000 g/L的条件下,紫外光照射30 min时,纳米TiO2-石墨烯对RhB的降解率高达98.69%,明显高于纳米TiO2的44.69%;纳米TiO2-石墨烯稳定性较强,可多次重复使用。     

Investigation of pharmaceutical metabolites in environmental waters by LC-MS/MS

Pharmaceuticals, once ingested, are commonly metabolized in the body into more polar and soluble forms. These compounds might not be completely removed in the wastewater treatment plants and consequently being discharged into the aquatic ecosystem. In this work, a multi-class sensitive method for the analysis of 21 compounds, including 7 widely consumed pharmaceuticals and 14 relevant metabolites, has been developed based on the use of UHPLC-MS/MS in selected reaction monitoring (SRM) mode. The method was validated in six surface waters (SW) and six effluent wastewaters (EWW) at realistic concentration levels that can be found in waters. The optimized method was applied to the analysis of different types of water samples (rivers, lakes and effluent wastewater), detecting nearly all the parent compounds and metabolites investigated in this work. This fact illustrates that not only pharmaceuticals but also their metabolites are commonly present in these types of waters. Analytical research and monitoring programs should be directed not only towards parent pharmaceuticals but also towards relevant metabolites to have a realistic overview of the impact of pharmaceuticals in the aquatic environment.