Real-time quantification of mcrA, pmoA for methanogen, methanotroph estimations during composting

Composting is the controlled biological decomposition of organic matter by microorganisms during predominantly aerobic conditions. It is being increasingly adopted due to its benefits in nutrient recycling, soil reclamation, and urban land use. However, it poses an environmental concern related to its contribution to greenhouse gas production. During composting, activities of methanogenic and methanotrophic communities influence the net methane (CH4) release into the atmosphere. Using quantitative polymerase chain reaction (qPCR), this study was aimed at assessing the changes in the methyl-coenzyme M reductase (mcrA) and particulate methane monooxygenase (pmoA) copy numbers for estimation of methanogenic and methanotrophic communities, respectively. Open-windrow composting of beef cattle (Bos Taurus L.) manure with temperatures reaching > 55 degrees C was effective indegrading commensal Escherichia coli within the first week. Quantification of community DNA revealed significant differences in mcrA and pmoA copy numbers between top and middle sections. Consistent mcrA copy numbers (7.07 to 8.69 log copy number g(-1)) were detected throughout the 15-wk composting period. However, pmoA copy number varied significantly over time, with higher values during Week 0 and 1 (6.31 and 5.41 log copy number g(-1), respectively) and the lowest at Week 11 (1.6 log copy number g(-1)). Net surface CH4 emissions over the 15-wk period were correlated with higher mcrA copy number. Higher net ratio of mrA: pmoA copy numbers was observed when surface CH4 flux was high. Our results indicate that mcrA and pmoA copy numbers vary during composting and that methanogen and methanotroph populations need to be examined in conjunction with net CH4 emissions from open-windrow composting of cattle feedlot manure.     

Responses of community to the possible use of recycled water for washing machines: A case study in Sydney, Australia

Recycled water is a valuable resource that has potential to free up potable water supplies and recharge systems while improving the environment. Recycled water for washing machine could be one of the options as new end use of recycled water to alleviate the demand on existing and limited water supplies. This paper summarizes the findings of a research survey in Sydney, Australia to explore the attitudes and opinions of community towards the use of recycled water for different purposes, especially for the washing machine. The survey showed that 97% of the respondents were aware of the persisting water shortage problem while more than 60% of the respondents supported the use of recycled water for washing clothes. This paper exposes the basic concern of participants for using recycled water in washing machine. Health issue was found as the most concerns of the community. The survey also presents the further conditions to be considered for using recycled water for washing machine according to the participants’ opinions. Correlation between knowledge and attitudes of respondents was also found in this survey.     

上游式筑坝法尾矿坝的安全系数随堆筑坝高变化分析

对于投资较少的上游式尾矿筑坝法而言,在实际的堆积施工过程中,由于很难严格按照设计的坡比进行每一级子坝的堆筑,导致矿方无法及时、真正掌握当前尾矿坝的受力性能和稳定状态。因此,针对某典型尾矿坝剖面,采用迈达斯商业软件试用版对尾矿坝的堆积过程进行了模拟分析,利用强度折减有限元方法对施工当前状态的尾矿坝进行了边坡稳定分析,得到了当前状态尾矿坝的塑性剪应变云图和相对应的抗滑稳定安全系数。比较了尾矿坝安全系数随着子坝堆筑的变化情况,结果发现：随着堆积子坝的进行,尾矿坝的整体抗滑稳定系数逐渐减小,此外在初期坝和一级子坝的下游坡脚处容易出现相对较大的变形。此研究结果为矿部管理部门及时了解尾矿坝的稳定程度和实际生产提供了技术支持。     

不同尺度下耕地土壤Cr含量的空间自相关性分析

以山东省禹城市耕地土壤重金属铬(Cr)元素为例,采用Moran’s I统计量对县级和镇级两个不同取样尺度下Cr含量的空间自相关关系、空间相关尺度和空间分布规律进行了对比研究.结果表明:1)随着研究尺度的增大,Cr含量的变异系数增加,块基比(C0/Sill)减小,空间结构性增强;2)两个尺度下Cr含量Moran’s I指数都大于0,表明研究区内两个尺度下的Cr含量都存在空间正自相关,且Moran’s I指数随着研究尺度的增加而增大;3)Lisa聚类图表明,两个尺度下Cr含量都存在空间聚集区和空间孤立区,其中"高—高"空间聚集和"低—高"空间孤立区域存在潜在Cr污染风险.研究表明小尺度下能够观察到大尺度下观察不到的细微差别,研究可为土壤重金属环境质量评价和重金属污染防治提供重要参考.图4表2参23     

Assessment of heavy metals in some wild edible mushrooms collected from Yunnan Province, China

Eight heavy metals (Cu, Zn, Fe, Mn, Cd, Cr, Ni, and Pb) in 14 different wild-growing edible mushroom species (Coprinus comatus, Voluariella volvacea, Pleurotus nebrodensis, Hypsizigus marmoreus, Hericium erinaceus, Agrocybe aegerita, Lenfinus edodes, Collybia velutipes, Agaricus bisporus, Russula albida, Clitocybe conglobata, Pleurotus eryngii, Lepista sordida, and Pleurotus ostreatus) collected from Yunnan province, China, were determined by inductively coupled plasma-atomic emission spectrometry after microwave digestion. All element concentrations were determined on a dry weight basis. The ranges of element concentrations for copper, zinc, iron, manganese, cadmium, chromium, nickel, and lead were 6.8-31.9, 42.9-94.3, 67.5-843, 13.5-113, 0.06-0.58, 10.7-42.7, 0.76-5.1, and 0.67-12.9 mg/kg, respectively. In general, iron content was higher than other metals in all mushroom species. The levels of zinc, cadmium, and lead in some edible mushroom samples were found to be higher than legal limits. The relative standard deviations were found below 10%. The accuracy of procedure was confirmed by certified reference material.     

温带阔叶红松林中不同树种和倒木对土壤性质的影响

以长白山温带阔叶红松林为研究对象,通过野外采集土壤样品,综合研究老龄树及倒木对周边表层土壤性质的影响。研究结果显示,在本研究样地条件下,不同树种周边的表层土壤性质存在显著性差异,红松（Pinus koraiensis）周边土壤中水溶性有机碳WSOC的质量分数和特征吸光系数SUVA254值都高于紫椴（乃砌amurensis）和水曲柳（Fraxinus mandshurica）,但是土壤水溶性总氮WSTN和交换性无机氮的质量分数却是红松低于紫椴和水曲柳。对倒木影响的森林表层土壤性质的研究结果显示,倒木下方森林表层土壤中WSOC、WSTN以及交换性矿质氮的质量分数都明显地高于林间土壤,说明在小尺度空间区域内,倒木可能是森林表层土壤活性碳、氮库的重要输入源。此外,本研究还利用主成分分析探讨了受树种影响的森林表层土壤不同性质之间的关联性,并对树种和倒木影响周边土壤性质的可能性机制进行分析。     

典型化工设备地震破坏形式分析与控制

针对化工生产连续性强,管线接口多,塔罐类设备多而高,其刚度强度分布不均匀,结构重心高等特点,从地震对化工企业的影响人手,简述了地震波的传播形式及其对化工设备的破坏作用,重点分析了典型化工设备(如塔类、罐类、管线类)在地震情况下的破坏形式及破坏原因,同时从化工企业的布局、选址,建(构)筑物、设备、工艺管道的抗震设计,设备...     

外源微生物对土壤中烟嘧磺隆的降解作用研究

为了探索外源微生物N80(Serratia marcecens)对烟嘧磺隆污染土壤生物修复的可行性,在实验室条件下,分析了温度、土壤pH值、接菌量、农药初始质量比等因素对N80降解烟嘧磺隆效果的影响.同时以小白菜、甜菜、菠菜为供试作物,采用室内盆栽试验法处理污染土壤,液相色谱仪(UVD)测定土壤中烟嘧磺降残留量.结果表明:1)向污染土壤中添加外源微生物菌株N80可以促进土壤中烟嘧磺隆的降解,第30d时,最高降解率可达79.7％;2)N80降解污染土壤中烟嘧磺隆的最适宜条件为25℃,pH=7.0,接种量108 cfu/g,初始质量比10mg/kg.研究表明,向污染土壤中接种一定量的外源微生物菌株N80可以有效降低土壤中烟嘧磺隆的残留量,减轻烟嘧磺隆对敏感作物的药害,达到了预期的生物修复效果.     

基于无人机的大气细颗粒物与臭氧污染探测与溯源研究进展

近年来,中国大气细颗粒物(PM_2.5)污染的治理已取得阶段性成效,但臭氧(O₃)污染快速上升,实现PM_2.5和O₃协同控制的基础与关键是针对大气污染物的精细化探测和污染溯源.随着无人机技术和传感器技术的迅速发展,基于无人机平台的大气污染探测可以有效获得近地层的PM_2.5和O₃结构特征,并结合计算机算法对大气污染事件进行精准溯源,具有高时效性、高灵活性和高时空分辨率的特征,有助于研究人员了解区域污染物的分布、变化以及来源,为大气复合污染的协同控制提供科学依据.通过回顾传统的大气污染探测方法,总结了污染探测领域常用的无人机飞行平台类型和探测仪器,归纳了基于无人机的PM_2.5和O₃污染探测应用与相关溯源算法,并展望了无人机大气探测的未来研究方向.     

Advances in the treatment of multi-pollutant flue gas in China's building materials industry

In most of the world's building material industries, the control of flue gas pollutants mainly focuses on a single pollutant. However, given the large capacity and high contribution of China's building materials industry to global air pollution, the need to develop multi-pollutant emission reduction technology is urgent. Recently, China has focused on reducing the emissions of flue gas pollutants in the building materials industry, established many key research and development projects, and gradually implemented more stringent pollutant emission limits. This project focuses on the most recent advances in flue gas emission control technology in China's building materials industry, including denitration, dust removal, desulfurization, synergistic multi-pollutant emission reduction, and the construction of pilot research and demonstration projects for pollutant removal in several building material industries. On this basis, revised pollutant limits in flue gas emitted in China's building material industry are proposed.