污泥生物处理的研究与应用

污泥生物处理技术包括污泥前置及后置的处理。污泥前置处理可以通过微生物自身的新陈代谢和微生物种群之间捕食作用,以及对工艺和反应器的改良来实现污泥减量。污泥后置生物处理是指污泥消化,可以使用高温-中温共相厌氧消化和蛋形污泥消化器对污泥进行减量;这些方法从不同侧面反应了目前污泥生物处理研究现状以及最新进展。     

城市污水厂水质相关性及分布状态的研究和应用

采用统计学及质量控制的一些基本理论及方法对污水处理厂的运行数据进行分析,得出城市污水处理厂BOD5、COD、SS、TN、TP等主要出水指标呈正态分布的规律;城市污水BOD5、COD、TN、TP等指标间存在显著线性相关性的结论.研究结论可用于污水处理厂制定经济合理的出水监测方案以及对污水处理厂运行可靠性等进行评估.     

植物的非传统稳定同位素前处理及测定技术研究进展

一直以来植物都是多领域的研究重点,随着非传统稳定同位素的不断发展,植物非传统稳定同位素研究日益增加。但因植物样品中有机物含量高,同位素分馏复杂,样品前处理及测定中存在诸多难题。本文对植物样品非传统稳定同位素工作中常用的前处理方法和测定技术进行了总结。综述了直接萃取法、湿法消解和高温灰化法的原理、操作和优缺点;以K、Ca、Mg、Fe、B等典型非传统稳定同位素为例介绍了非传统稳定同位素常用测定技术,旨在为植物样品的非传统稳定同位素测定进行梳理,最后对其应用方向和测试方法的发展方向进行了展望。     

化肥厂爆炸事故的不安全动作分析

为了分析化肥厂爆炸事故背后的不安全动作。本文选取了2009-2018年间国内外发生的52起典型化肥厂爆炸事故。从发生时间的角度分析事故特性,发现白昼期间的事故发生概率相对较高。同时文章分析了运输卸料、车间操作、特种作业和管理人员4种作业类型的不安全动作,从发生频率和风险等级两个方面评估了不安全动作的综合危险度。结果表明13项不安全动作的综合危险度较高,需要重点预控。     

污水处理厂设备维护管理优化研究

以JL污水处理厂设备管理优化过程为例,充分吸取LCC,TPM中的先进思想,以设备运行可靠性及设备维护经济性为追求目标,建立了设备管理优化体系。流程体系上,通过建立作业指导文件,建立标准化维修程序,对于操作过程及时进行记录,建立可视化、可追溯的管理方法;指标体系上,根据设备重要性及运行状况,确定设备风险指数,分级管理;建立控制指标,并动态调整;管控体系上,建立设备“户口”,对设备的维护、保养、使用等信息进行全面登记;考核设备维护的全面性、及时性、可靠性、合规性;重视设备维护的预计与预警;技术体系上,通过设备监测仪器的使用,对设备运行状况定量化。通过不断推进设备预防性维护工作,设备完好率不断提升,仪表完好率从2016年的97.34%,96.55%水平,分别提升至99.08%,98.72%;维护费用也保持在较低水平,检修费与资产比例在实施的前两年分别降至1.49%,0.85%,实现了污水处理厂节能降耗及运行可靠性的强化。     

关于锅炉烟气脱硫除尘技术的探讨

目前国内能源结构仍以煤炭为主,大气污染非常的严重,尤其是酸雨和粉尘危害相对较大。在生态文明建设的时代背景下,我们应当加强锅炉脱硫以及除尘技术创新与改造,对燃煤烟尘以及二氧化硫等污染物的排放进行严格控制。本文先对锅炉烟气脱硫除尘现状进行了分析,并在此基础上就电厂锅炉如何进行烟气脱硫与除尘提出了一些观点与认识,以供参考。     

内窥镜检查在电站锅炉内部检验中的应用

工业内窥镜是电站锅炉内部检验中不可或缺的设备,主要用来对集箱、减温器、受热面管等内部人眼无法观察到的地方进行检验,从而确定承压部件内部是否存在严重影响锅炉安全运行的缺陷.本文通过对锅炉内窥实例进行分析和总结,阐述内窥镜检查在锅炉内检中的重要性并给相关工作人员提供借鉴与参考.     

Degradation of polyacrylamide (PAM) and methane production by mesophilic and thermophilic anaerobic digestion: Effect of temperature and concentration

• PAM degradation in thermophilic AD in comparison with mesophilic AD. • PAM degradation and its impact on thermophilic and mesophilic AD. • Enhanced methane yield in presence of PAM during thermophilic and mesophilic AD. • PAM degradation and microbial community analysis in thermophilic and mesophilic AD. Polyacrylamide (PAM) is generally employed in wastewater treatment processes such as sludge dewatering and therefore exists in the sludge. Furthermore, it degrades slowly and can deteriorate methane yield during anaerobic digestion (AD). The impact or fate of PAM in AD under thermophilic conditions is still unclear. This study mainly focuses on PAM degradation and enhanced methane production from PAM-added sludge during 15 days of thermophilic (55°C) AD compared to mesophilic (35°C) AD. Sludge and PAM dose from 10 to 50 g/kg TSS were used. The results showed that PAM degraded by 76% to 78% with acrylamide (AM) content of 0.2 to 3.3 mg/L in thermophilic AD. However, it degraded only 27% to 30% with AM content of 0.5 to 7.2 mg/L in mesophilic AD. The methane yield was almost 230 to 238.4 mL/g VSS on the 8th day in thermophilic AD but was 115.2 to 128.6 mL/g VSS in mesophilic AD. Mechanism investigation revealed that thermophilic AD with continuous stirring not only enhanced PAM degradation but also boosted the organics release from the sludge with added PAM and gave higher methane yield than mesophilic AD.     

Mapping the Spatial Variability of Plant Diversity in a Tropical Forest: Comparison of Spatial Interpolation Methods

Knowledge of the spatial distribution of plant species is essential to conservation and forest managers in order to identify high priority areas such as vulnerable species and habitats, and designate areas for reserves, refuges and other protected areas. A reliable map of the diversity of plant species over the landscape is an invaluable tool for such purposes. In this study, the number of species, the exponent Shannon and the reciprocal Simpson indices, calculated from 141 quadrat sites sampled in a tropical forest were used to compare the performance of several spatial interpolation techniques used to prepare a map of plant diversity, starting from sample (point) data over the landscape. Means of mapped classes, inverse distance functions, kriging and co-kriging, both, applied over the entire studied landscape and also applied within vegetation classes, were the procedures compared. Significant differences in plant diversity indices between classes demonstrated the usefulness of boundaries between vegetation types, mapped through satellite image classification, in stratifying the variability of plant diversity over the landscape. These mapped classes, improved the accuracy of the interpolation methods when they were used as prior information for stratification of the area. Spatial interpolation by co-kriging performed among the poorest interpolators due to the poor correlation between the plant diversity variables and vegetation indices computed by remote sensing and used as covariables. This indicated that the latter are not suitable covariates of plant diversity indices. Finally, a within-class kriging interpolator yielded the most accurate estimates of plant diversity values. This interpolator not only provided the most accurate estimates by accounting for the indices' intra-class variability, but also provided additional useful interpretations of the structure of spatial variability of diversity values through the interpretation of their semi-variograms. This additional role was found very useful in aiding decisions in conservation planning.     

燃煤电厂超低排放气态污染物监测技术综述

介绍了燃煤电厂超低排放气态污染物监测系统的采样系统和分析单元,分析了其各自的优缺点。对稀释抽取式、冷干抽取式和热湿抽取式3种采样方法,以及非分散红外吸收法(NDIR)、非分散紫外吸收法(NDUV)、紫外差分吸收法(DOAS)、紫外荧光法(UVF)和化学发光法(CL)5种分析方法进行对比。结果表明,冷干抽取式+紫外差分法以及稀释抽取式+紫外荧光法+化学发光法可以较好地符合燃煤电厂超低排放监测的要求。