混合重金属对硝化颗粒污泥毒性作用的析因实验研究

分别测定了Cu2 、Zn2 和Cd2 对硝化颗粒污泥的单一毒性,采用析因实验研究了二元和三元重金属混合体系对硝化颗粒污泥的联合毒性.结果表明,Cu2 、Zn2 和Cd2 的2 h半抑制浓度EC50分别为95.23、62.11和12.48 mg/L,由析因实验所得的响应曲面模型具有较好的优度(其R2＞0.95),能够对混合体系的联合毒性很好地进行预测,析因实验可以用于环境领域混合体系联合毒性的研究.     

厌氧-好氧工艺处理制药废水的中试研究

将由厌氧折流板反应器(ABR)、移动床生物膜反应器(MBBR)和膜生物反应器(MBR)组合而成的厌氧-好氧工艺用于处理制药废水的中试研究.试验结果表明,当原水SS平均值为1000 mg/L,COD为10 000 mg/L,NH3-N为500 mg/L时,出水浊度、COD和NH3-N分别为3 NTU、500 mg/L以及10 mg/L以下,去除率分别为98%、95%和98%以上.     

地下渗滤在大学园区生活污水处理中的应用

地下渗滤工艺是土地生态处理系统的一种类型,其设备简单,投资少,操作管理方便,且能耗低、净化效果好。在此介绍了地下渗滤处理污水系统在大学园区的应用情况,运行结果表明,该工艺结合园区绿地建设不仅可行,而且处理水质优于回用标准,环境效益和经济效益显著。     

采油废水处理方法与技术研究进展

采油废水具有成分复杂、可生化性差、含盐量高等特点,直接排放可对环境造成严重影响。对近年来国内外采油废水的特点和处理技术方法研究进展进行了综述,分析各类处理方法的特点,并提出了今后研究方向。     

安全网试验方法的探索

安全网是一种极其普遍的特种劳动防护用品,在人们日常生产生活中应用十分广泛,尤其适用于建筑工地等高处作业.安全网对保护劳动者生命安全起着举足轻重的作用.因此,国家安监局、国家质监总局分别把该产品列为LA和QS管理产品.由于安全网质量要求至关重要,国家已制订出安全网的相关检验标准.其中安全网的耐冲击性能是安全网的一项重要物理指标,本文依据国家现行标准,对安全网的耐冲击性试验方法进行探索.     

液液萃取-气相色谱/串联质谱法测定水中五氯酚及其钠盐

采用液液萃取处理水样,用气相色谱-串联质谱法测定样品中五氯酚及其钠盐,通过优化测定条件,使方法在1.00μg/L～500μg/L范围内线性良好.检出限和定量限分别为1.00μg/L和5.00μg/L,空白水样五氯酚钠3个质量浓度水平的加标回收率为89.8％～98.4％,5次平行试验测定结果的RSD为5.5％～10.7％...     

A quantitative water resource planning and management model for an industrial park level

This paper introduces an integrated water management model at the industrial park level. It suggests four approaches to water management: first, direct water reuse among users; second, water reuse among users by blending with freshwater; third, water reuse between users and a wastewater treatment plant; and fourth, groundwater recharge by reclaimed wastewater or other feasible applications in order to optimize the overall water efficiency. The model results in a comprehensive management methodology for optimizing water resources within an industrial park, seeking potential water reuse among industries, and incorporating the size and cost of reclaimed wastewater delivery systems. A case study is employed to test the model’s feasibility. An economic analysis of the optimized water use network is also carried out, showing the potential water and cost savings.     

矿产资源规划理论的形成和发展

矿产资源规划是区域发展规划的重要组成部分,是政府对矿业经济进行宏观调控的一种手段。本文从理论更新和完善的角度重新确立了区域矿产资源规划的理论体系,提出矿产资源规划理论经历形成、发展与创新三个阶段,并就矿产资源配置与价格规律、矿产资源经济区划理论和可持续发展理论在其中的深远影响进行了初步探讨。     

赣江一级支流浮游植物群落动态特征分析——以袁河为例

2009年6、11月和2010年4月共3个水情期（即丰、枯和平水期）对赣江下游一级支流袁河的浮游植物群落结构特征开展河流生态学调查分析。调查共发现浮游植物109种,隶属于6门61属。其中绿藻门物种种类数最多,共27属54种,其次为硅藻门,共15属30种,第三是蓝藻门11属12种。此外,裸藻门3属6种,甲藻门3属4种,隐藻门2属3种。调查样点的浮游植物丰度均处于1.12×105～129.20×105 ind./L,丰水期和枯水期浮游植物以蓝藻为优势类群,平水期则硅藻占绝对优势。丰水期浮游植物优势属为脆杆藻属和席藻属,枯水期为栅藻属,针杆属,蓝隐藻属和小环藻属,到了平水期小环藻属占绝对优势。3个水情期中优势种钝脆杆藻和小席藻（丰水期）;尖尾蓝隐藻和双头针杆藻（枯水期）;梅尼小环藻（平水期）等均为污水指示种。通过生物多样性指数分析发现藻类Shannon-Wiener指数、Simpson指数、Pielou均匀度指数和Margalef丰富度指数的变化范围分别为：1.14～2.92、0.45～0.93、0.36～0.92和0.42～2.78。通过指示生物群落法和生物多样性指数法对袁河进行水质评价发现两种评价结果基本一致,袁河处于α-β-中污染状态,不同采样点间污染程度差异性较大。     

Energy use,blue water footprint,and greenhouse gas emissions for current food consumption patterns and dietary recommendations in the US

This article measures the changes in energy use, blue water footprint, and greenhouse gas (GHG) emissions associated with shifting from current US food consumption patterns to three dietary scenarios, which are based, in part, on the 2010 USDA Dietary Guidelines (US Department of Agriculture and US Department of Health and Human Services in Dietary Guidelines for Americans, 2010, 7th edn, US Government Printing Office, Washington, 2010). Amidst the current overweight and obesity epidemic in the USA, the Dietary Guidelines provide food and beverage recommendations that are intended to help individuals achieve and maintain healthy weight. The three dietary scenarios we examine include (1) reducing Caloric intake levels to achieve “normal” weight without shifting food mix, (2) switching current food mix to USDA recommended food patterns, without reducing Caloric intake, and (3) reducing Caloric intake levels and shifting current food mix to USDA recommended food patterns, which support healthy weight. This study finds that shifting from the current US diet to dietary Scenario 1 decreases energy use, blue water footprint, and GHG emissions by around 9 %, while shifting to dietary Scenario 2 increases energy use by 43 %, blue water footprint by 16 %, and GHG emissions by 11 %. Shifting to dietary Scenario 3, which accounts for both reduced Caloric intake and a shift to the USDA recommended food mix, increases energy use by 38 %, blue water footprint by 10 %, and GHG emissions by 6 %. These perhaps counterintuitive results are primarily due to USDA recommendations for greater Caloric intake of fruits, vegetables, dairy, and fish/seafood, which have relatively high resource use and emissions per Calorie.