Effects of coal spoil amendment on heavy metal accumulation and physiological aspects of ryegrass (<Emphasis Type="Italic">Lolium perenne</Emphasis> L.) growing in copper mine tailings

Copper mine tailings pose many threats to the surrounding environment and human health, and thus, their remediation is fundamental. Coal spoil is the waste by-product of coal mining and characterized by low levels of metals, high content of organic matter, and many essential microelements. This study was designed to evaluate the role of coal spoil on heavy uptake and physiological responses of Lolium perenne L. grown in copper mine tailings amended with coal spoil at rates of 0, 0.5, 1, 5, 10, and 20%. The results showed that applying coal spoil to copper mine tailings decreased the diethylenetriaminepentaacetic acid (DTPA)-extractable Cd, Cu, Pb, and Zn contents in tailings and reduced those metal contents in both roots and shoots of the plant. However, application of coal spoil increased the DTPA-extractable Cr concentration in tailings and also increased Cr uptake and accumulation by Lolium perenne L. The statistical analysis of physiological parameters indicated that chlorophyll and carotenoid increased at the lower amendments of coal spoil followed by a decrease compared to their respective controls. Protein content was enhanced at all the coal spoil amendments. When treated with coal spoil, the activities of superoxide dismutases (SOD), peroxidase (POD), and catalase (CAT) responded differently. CAT activity was inhibited, but POD activity was increased with increasing amendment ratio of coal spoil. SOD activity increased up to 1% coal spoil followed by a decrease. Overall, the addition of coal spoil decreased the oxidative stress in Lolium perenne L., reflected by the reduction in malondialdehyde (MDA) contents in the plant. It is concluded that coal spoil has the potential to stabilize most metals studied in copper mine tailings and ameliorate the harmful effects in Lolium perenne L. through changing the physiological attributes of the plant grown in copper mine tailings.     

Control of NOx emissions by air staging in small- and medium-scale biomass pellet boilers

Environmental Science and Pollution Research - The effect of air staging strategies on NOx control was investigated on a 210-kW small-scale biomass boiler (SBB) and a 1.4-MW medium-scale biomass...     

PW_(12)/g-C_3N_4光催化降解甲基橙

采用浸渍法制备了磷钨酸(PW12)/g-C3N4复合光催化剂,并将其用于溶液中甲基橙的光催化降解,运用IR技术对使用前后的光催化剂进行了表征。表征结果显示,PW12和g-C3N4的结构未在浸渍负载中发生改变,且PW12和g-C3N4结合牢固。实验结果表明:最佳的PW12负载量(光催化剂中PW12的质量分数)为50%;光催化降解甲基橙的优化反应条件为初始甲基橙质量浓度5 mg/L、光催化剂加入量0.6 g/L、初始溶液p H=7;在优化条件下,分别采用紫外光、模拟太阳光、可见光照射120 min后,甲基橙的降解率分别为96.59%,82.23%,42.78%;该光催化剂固载良好,使用中不易发生溶脱,稳定性好,可重复使用。     

区块链技术在环保领域的应用

近年来,区块链技术快速发展,被广泛应用于多个领域,发挥了不错的成效,比如推动公共服务质量的提升。环保领域中,区块链技术的应用处于探索阶段,还面临着诸多挑战和困难需要加以克服。环保领域对区块链技术的需求很大,若能够切实发挥技术的优势,可有效推动环保事业的发展。现结合具体研究,作如下论述。     

衍生化气相色谱法测定黄磷诱发氧化水中苯酚降解产物

利用衍生化气相色谱法对黄磷诱发氧化苯酚降解产物进行了研究，在磷酸存在下，以甲醇作酯类衍行生试剂，分别和ＳＥ－５２和ＨＰ－１７石英毛细管双柱结合ＧＣ－ＭＳ进行分离定性定量，黄磷诱发氧化苯酚降解产物以羧酸为主，在反应温度５０℃时，表现为一级反应特征，速率常数（Ｋ）：０．０７７ｍｉｎ＾－１，半衰期（ｔ１／２）：９．０ｍｉｎ。     

环境样品中非邻位取代共平面多氯联苯的测定

本文对测定实际环境样品中痕量非邻位取代共平面多氯联苯的方法进行了研究。样品萃取，净化后，经活性碳性层析分离，利用ＧＣ－ＥＣＤ毛细管柱双柱定性，外标法进行定量，测定了土壤和鱼肌肉中μｇ·ｋｇ＾－１数量级的３，３‘，４，４’－四氯联苯及ｎｇ·ｇｋｇ＾－１数量级的３，３‘，４’，５－五氯联苯。     

关于国际环境管理标准ISO14000系列

本文简介国际环境管理标准ＩＳＯ１４０００系列的内容，论述了其特点及其在国际贸易、产业结构、公司经营的影响，并提出了我国采用ＩＳＯ１４０００系列应做的工作。     

崇明岛公路两侧蔬菜地土壤和蔬菜重金属污染研究

为了研究崇明岛公路两侧土壤和蔬菜重金属污染状况,采集陈海、北沿公路两侧蔬菜地土壤、蔬菜和路面灰尘样品,测定重金属Pb、Cd、Cu、Zn含量.结果表明,以上海市土壤环境背景值上限值为评价标准,所有土壤样品Pb、Cd、Cu和Zn的超标率分别为10.1%、25.4%、6.5%和8.7%;以HJ 332-2006 食用农产品产地环境质量评价标准中蔬菜地土壤环境质量评价指标限值(pH值6.5～7.5)为标准,Cd超标率在21.0%,仅有不到3%样品Pb含量超标,而没有样品Cu、Zn含量超标.以国家食品卫生标准中规定的重金属限量为标准,路侧蔬菜样品Pb含量超标率为43.2%,Cd为18.6%,Zn和Cu则小于5%.由此可见,崇明岛主要公路两侧土壤污染以Cd为主,而蔬菜污染则以Pb为主.在长期运营的前提下,低交通量公路两侧50 m范围内耕作层土壤和两侧作物会发生一定程度的重金属污染,路面灰尘是路侧土壤和蔬菜的潜在污染源.     

光氧化吸附矿井水中微量有机物试验研究

针对目前煤矿矿井水资源化过程中存在有机污染物的问题，考察了采用紫外光氧化分解的机理及影响因素。结果表明：紫外光对矿井水中有机物（主要是乳化油）有一定的氧化分解能力，能有效地促使有机物大分子破裂，有利于活性炭的吸附处理。在合理的工艺条件下，可使水中有机物去除率达到95%以上。     

基于LonWorks现场总线技术的城市污水处理系统的设计与实现

主要讨论了利用LonWorks现场总线技术来实现城市污水处理厂污水处理系统的实时控制，本系统采用IPC和PLC控制结构对现场的各种设备进行实时控制和数据的采集，通过LonWorks现场总线网络自动收集和传输污水处理系统的数据到中心控制室，中心控制室的计算机分析数据后对现场进行实时监控，实现污水处理的自动控制和无人化管理，中心控制室也可以通过Internet与远程终端互相通讯，向各终端提供实时的数据和远程终端对污水处理系统的实时监控。