农村沼气在北方农业源减排中的应用浅析

农村沼气作为一种特殊的清洁能源,在沈阳市农村节能减排、应对气候变化和发展低碳经济、促进新农村建设方面发挥了巨大的作用。本文通过对沼气工程在北方地区应用的阐述,力图推动北方农村沼气在农业源减排工作中的应用。     

Improvement of welding heat source models for TIG-MIG hybrid welding process

Tungsten inert gas-metal inert gas (TIG-MIG) hybrid welding process is an effective way to improve welding productivity and quality due to advantages of the two processes. Mathematical analysis is crucial to fundamentally understand this synergetic welding process. In this study, based on experimental visualization of arc behaviors, some assumptions are proposed to deduce adaptive plane and volumetric heat source models separately for each involved welding method first. The influence of torch angles on distribution of temperature and geometry of weld bead are calculated and compared with experimental results. It shows that this developed algorithm of heat source can be employed to accurately predict welding process whether the electrode gun is slanted backward or forward to the direction of welding. Then TIG-MIG hybrid welding process is simulated and analyzed without considering the attractive or repulsive force of two arcs. The characteristic of TIG-MIG welding process is discussed compared to single MIG. It lays the foundation for the further research on the interaction of the two arcs during TIG-MIG hybrid welding.     

碳酸钙中的碳能被微藻利用吗

碳酸钙中的碳能否被微藻利用这一问题一直处于争论中。本文在开放与隔离空气CO2环境下用含有碳酸钙粉末和不同浓度乙酰唑胺的培养液培养衣藻和小球藻。通过双向同位素示踪技术,定量描述出不同条件下微藻对碳酸钙碳源的利用份额。在隔离空气CO2的环境下,微藻对碳酸钙碳源的利用份额明显大于开放环境下。在开放环境下,随着培养液中乙酰唑胺浓度增加,生物量减少,微藻对固有无机碳源的利用份额减少,对碳酸钙碳源的利用份额增加。在隔离空气CO2的环境下,随着培养液中乙酰唑胺浓度增加,微藻生物量增加,衣藻对固有无机碳源的利用份额增加,对碳酸钙碳源的利用份额减少,而小球藻反之。微藻主要是通过利用碳酸钙溶蚀的可溶性无机碳(DIC)这种间接方式来利用碳酸钙碳源。而外界大气CO2浓度和胞外碳酸酐酶是影响碳酸钙溶解的重要因素,因此其也明显的影响着微藻对碳酸钙碳源的利用。     

大气降水中重金属离子特征研究

大气降水中重金属离子的研究可以反映大气污染、地表水污染的信息.通过对国内外大气降水中重金属研究现状的阐述和大气降水中重金属的来源进行理论分析,并利用实地大气降水采样分析,归纳出其中重金属的特征,监测当前大气的污染状况,从而为区域性的大气中重金属的污染评价及污染治理提供理论依据.降水中的重金属元素主要包括Pb、Mn、Zn、Cu、Cd、Cr等,通过分析测定可以为利用大气降水作为重要饮用水补给源的区域提供饮水安全保障.     

贵州典型酸雨城市大气降水化学组成特征

本研究于2012年3月~2013年2月,采集了贵州省典型酸雨城市—都匀市的大气降水,分析了其中pH、阴阳离子及重金属元素等分布特征及可能来源。研究结果表明:都匀市降水存在一定酸化现象,40.4%降水样品pH5.6。阴离子以SO42-和NO3-为主,平均含量分别为180.7μmol/L、50.7μmol/L,SO42-/NO3-值为1.44~15.62,降水属于硫酸-硝酸混合型。阳离子以NH4+是最主要的,平均值为129.8μmol/L,占无机阳离子总量的50.8%。降水中重金属元素(Cu、Zn、As、Cd、Pb、Cr)含量较低,与国内其他地区相比,Hg的含量偏高。降水中总离子浓度表现为冬、春季较高,夏、秋季较低。相关性分析表明:降水中化学组分以CaSO4、MgSO4、NH4SO4、Ca(NO3)2等为主。Ca2+与Mg2+主要来自陆源性颗粒物,NO3-、SO42-、F-主要来自化石燃料燃烧及金属冶炼,重金属元素主要来源于燃煤以及人为活动污染。     

公路项目环评中低时速单车噪声源强研究

由于缺乏低时速单车噪声源强估算模式,低等级公路项目噪声预测结果常与实际监测结果存在较大偏差。文中通过实测各车型车辆在低时速条件下时速和单车辐射声级(Lmax)数据,运用统计软件分析两者间的关系,并通过实测过往车辆数据进行验证。结果显示沿用《公路建设项目环境影响评价规范》(以下简称《06规范》)中的公式计算低车速源强可能会造成结果偏低,建议采用下列式子估算低车速单车噪声源强:小型车L=21.5 lgV+34.96(15≤V≤63),中型车L=10.4 lgV+59.29(15≤V≤53),大型车15≤V≤48(15≤V≤48)。     

烟气排放连续监测系统比对监测中存在问题探讨研究

随着工业化、城镇化进程加快和消费结构的持续升级,能源需求刚性增长、国内资源保障能力受限、环境容量受到制约,"十二五"时期的节能减排工作显得尤为紧迫、艰巨和重要。污染源自动监测数据作为节能减排监测体系中计算排污企业主要污染物排放量和确定达标排放的重要依据,是环境保护主管部门进行总量考核、监督执法、排污申报核定等工作的数据基础。用传统的国家标准方法对固定污染源烟气排放连续监测系统进行比对测试时,会受到水分、一氧化碳、硫化氢、监测点位以及分析方法的影响,对比对测试结果会造成一定影响;通过分析比对监测过程中的影响原因,针对相应的影响因素给出了相应的对策措施,提高了自动监测数据的准确性和有效性。     

西安市PM_(2.5)污染源位置确定的模型应用研究

针对空气中PM2.5污染物的传播问题,以西安市的情况为实例,合理考虑风力等天气和季节因素的影响,建立能够刻画该地区PM2.5的发生和演变规律的有风高斯点源扩散数学模型,代入相关数据后,利用MATLAB软件求解出PM2.5污染源由一区扩散到另一区的浓度,最后由综合的各区总浓度得出PM2.5污染源的位置,并与该市实际检测到PM2.5数据进行对比分析。结果表明,确定的位置比较准确,该方法能为城市污染治理提供参考。     

Ionic composition of submicron particles (PM1.0) during the long-lasting haze period in January 2013 in Wuhan, central China

In January 2013, a long-lasting severe haze episode occurred in Northern and Central China; at its maximum, it covered a land area of approximately 1.4 million km². In Wuhan, the largest city in Central China, this event was the most severe haze episode in the 21st century. Aerosol samples of submicron particles (PM_1.0) were collected during the long-lasting haze episode at an urban site and a suburban site in Wuhan to investigate the ion characteristics of PM_1.0 in this area. The mass concentrations of PM_1.0 and its water-soluble inorganic ions (WSIIs) were almost at the same levels at two sites, which indicates that PM_1.0 pollution occurs on a regional scale in Wuhan. WSIIs (Na⁺, NH₄⁺, K⁺, Mg²⁺, Ca²⁺, Cl^-, NO₃^- and SO₄^2-) were the dominant chemical species and constituted up to 48.4% and 47.4% of PM_1.0 at WD and TH, respectively. The concentrations of PM_1.0 and WSIIs on haze days were approximately two times higher than on normal days. The ion balance calculations indicate that the particles were more acidic on haze days than on normal days. The results of the back trajectory analysis imply that the high concentrations of PM_1.0 and its water-soluble inorganic ions may be caused by stagnant weather conditions in Wuhan.     

Compositions and sources of organic acids in fine particles (PM2.5) over the Pearl River Delta region, south China

Organic acids as important constituents of organic aerosols not only influence the aerosols' hygroscopic property, but also enhance the formation of new particles and secondary organic aerosols. This study reported organic acids including C14–C32fatty acids, C4–C9dicarboxylic acids and aromatic acids in PM2.5collected during winter 2009 at six typical urban, suburban and rural sites in the Pearl River Delta region. Averaged concentrations of C14–C32fatty acids, aromatic acids and C4– C9 dicarboxylic acids were 157, 72.5 and 50.7 ng/m3, respectively. They totally accounted for 1.7% of measured organic carbon. C20–C32fatty acids mainly deriving from higher plant wax showed the highest concentration at the upwind rural site with more vegetation around, while C14–C18fatty acids were more abundant at urban and suburban sites, and dicarboxylic acids and aromatic acids except 1,4-phthalic acid peaked at the downwind rural site. Succinic and azelaic acid were the most abundant among C4–C9dicarboxylic acids, and 1,2-phthalic and 1,4-phthalic acid were dominant aromatic acids. Dicarboxylic acids and aromatic acids exhibited significant mutual correlations except for 1,4-phthalic acid, which was probably primarily emitted from combustion of solid wastes containing polyethylene terephthalate plastics. Spatial patterns and correlations with typical source tracers suggested that C14–C32fatty acids were mainly primary while dicarboxylic and aromatic acids were largely secondary. Principal component analysis resolved six sources including biomass burning, natural higher plant wax, two mixed anthropogenic and two secondary sources; further multiple linear regression revealed their contributions to individual organic acids. It turned out that more than 70% of C14–C18fatty acids were attributed to anthropogenic sources, about 50%–85% of the C20–C32fatty acids were attributed to natural sources, 80%–95% of dicarboxylic acids and 1,2-phthalic acid were secondary in contrast with that 81% of 1,4-phthalic acid was primary.