Artificial neural network model for identifying taxi gross emitter from remote sensing data of vehicle emission

Vehicle emission has been the major source of air pollution in urban areas in the past two decades. This article proposes an artificial neural network model for identifying the taxi gross emitters based on the remote sensing data. After carrying out the field test in Guangzhou and analyzing various factors from the emission data, the artificial neural network modeling was proved to be an advisable method of identifying the gross emitters. On the basis of the principal component analysis and the selection of algorithm and architecture, the Back-Propagation neural network model with 8-17-1 architecture was established as the optimal approach for this purpose. It gave a percentage of hits of 93%. Our previous research result and the result from aggression analysis were compared, and they provided respectively the percentage of hits of 81.63% and 75%. This comparison demonstrates the potentiality and validity of the proposed method in the identification of taxi gross emitters.     

Effect of sulfate on the methanogenic activity of a bacterial culture from a brewery wastewater during glucose degradation

The maximum specific methanogenic activity （SMA） of a sludge originating from a brewery wastewater treatment plant on the degradation of glucose was investigated at various levels of sulfate on a specific loading basis. Batch experiments were conducted in serum bottles at pH 7 and 35℃. A comparison of the values indicates that the SMA of this mixed culture was increased and reached its highest level of 0.128 g CH4 gas COD/（g VSS.d） when biomass was in contact with sulfate at a ratio of 1：0.114 by weight.     

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。     

不同排水体制比较研究的发展与展望

合理地选择排水体制,是城市和工业企业排水系统规划和设计的重要问题.环境保护应是选择排水体制时所考虑的主要问题.排水体制的选择问题一直是学界和业界争论的热点问题之一.对不同排水体制的比较研究,有助于人们了解不同排水体制的优劣,从而选择最合适的排水体制.回顾国内外已有的对不同排水体制的比较研究,可以为以后的研究提供指导和参考.     

发达国家（地区）农业现代化进程中农户与市场对接模式比较

通过对美国、日本、法国、我国台湾地区农户与市场对接模式的比较,发现依靠中间组织——农协、企业、农业合作组织等实现了农业流通现代化。基于此,结合我国农业现状和具体国情,提出从政府引导、农产品流通的组织建设、加强市场监管力度三个方面来实施我国农户与市场的对接,从而加快我国农业流通现代化进程和农业经济的可持续发展。     

中国低碳发展的国际比较研究——基于历史和经济发展阶段的审视

随着近年来我国碳排放总量的增加,一些西方国家开始把碳减排责任的矛头指向中国。为了明确中国碳排放的国际地位,运用历史唯物主义观点,从经济发展阶段视角进行了国际比较研究。首先运用IEA2011年公布的碳排放数据分析了我国2009年面临的碳排放形势,继而研究了工业革命以来中国碳排放的总体贡献情况,最后从经济发展阶段视角进行了国际比较研究。认为:①尽管我国当前的碳排放总量巨大,但人均碳排放量低于世界前10名的主要碳排放国家,碳排放强度与世界主要碳排放国家相比还存在一定差距;②我国的历史累计碳排放贡献及人均碳排放均较低,发达国家和地区的累计碳排放量达到世界累计碳排放量的近3/4;③与发达国家相同经济发展阶段相比,我国的人均碳排放和碳排放强度远低于主要发达国家和地区;④世界主要发达国家和地区在快速推进工业化的经济发展阶段普遍伴随着高碳排放。鉴于此,我们认为应该辩证地看待中国的碳排放,一方面中国当前的确产生了较大的碳排放,另一方面中国的经济发展阶段决定了这种碳排放规模和水平。发达国家的经济发展轨迹和碳足迹也表明,在工业化快速推进的过程中,一定程度的高碳排放是世界经济发展的客观规律。     

城市污水污泥发酵制园林营养土中微生物的变化分析

通过桶装发酵装置,进行城市污水污泥发酵制园林营养土过程中微生物的变化研究,测试不同好氧-厌氧交替组的发酵温度以及细菌、真菌、放线菌数量等的变化,探讨发酵温度与微生物变化的规律.结果表明,夏季不同发酵方式的发酵温度在50℃以上的持续时间均长于冬季,且夏季好氧-厌氧交替发酵的发酵温度在55℃以上的持续时间长于好氧发酵;冬季与夏季的好氧、好氧-厌氧交替发酵后,堆料中的粪大肠菌群数量均达到了《城镇污水处理厂污泥处置园林绿化用泥质》(CJ 248-2007)的卫生学指标要求;夏季好氧-厌氧交替发酵过程中,厌氧后发酵温度有所下降,好氧后发酵温度又有所回升;无论好氧还是好氧～厌氧交替发酵中,细菌均为优势种群,真菌、放线菌数量比细菌数量低2～6个数量级.     

机械冲击振打扁袋和脉冲圆袋除尘器性能对比

对脉冲对反吹圆袋除尘器和机械冲击振打扁袋除尘器进行了数字计算和分析对比,显示前者落后,后者先进,并对空气净化除尘及可预计的节能降耗目标进行了粗估。     

人工浮床对汾江河水质净化的研究

对佛山市汾江河内布置浮床的水域的7个断面进行采样监测,分析了布置浮床侧与未布置浮床侧各水质指标的差异,以考察人工浮床对汾江河水质的净化效果。同时比较了圆币草、水罂粟、梭鱼草、狐尾草、美人蕉和鸢尾6种浮床植物的生物量和氮磷吸收量。结果表明,布置人工浮床一侧的水质TN、TP、COD和NH4＋-N含量均显著低于未布置浮床一侧的水质,表明人工浮床对水体水质的有净化效果。总面积约4 900 m2的浮床植物经过3个月的生长,从水体中共吸收了192.5 kg的氮和76.1 kg的磷。6种浮床植物中,狐尾草的净增生物量最高,达到64.2 kg/m2;圆币草次之,为62.2 kg/m2。狐尾草和圆币草对氮磷的吸收能力在6种植物中处于较高水平,每平方米狐尾草和圆币草从水体中分别吸收了51.61g氮、19.79 g磷和46.90 g氮、22.93 g磷。综合比较得出,狐尾草和圆币草在生物量和氮磷吸收量上均保持在较高水平,是较好的浮床植物。本研究为人工浮床在南方类似河流中的应用及植物选择提供了参考依据。     

Evidence of new particle formation during post monsoon season over a high-altitude site of the Western Ghats,India

The formation of ultrafine particles, their growth, and associated characteristic features has been studied during new particle formation events over a high-altitude station of the Western Ghats during the 2014 post-monsoon season. Most of the events were observed during noon time where particle bursts in the nucleation-mode size range from 5 to 25 nm followed by sustained growth in size. This phenomenon persists for ～4–8 h with a growth rate of 1–2 nm h^–1. Peak concentrations of nucleation-mode particles during the event generally vary from 2300 to 5000 cm^–3. The mean growth rate is 1.4 ± 0.42 nm h^–1, particle formation rate is 1.14 ± 0.22 cm^–3 s^–1, coagulation sink is 0.35 ± 0.22 cm^–3 s^–1, and condensational sink is 15.4 ± 2.6?×?10^–3 s^–1. All these values are comparable with earlier results from Indian region. Comparison of size-segregated particle number concentration during days of new particle formation events and those without new particle formation were carried out showing a distinct variation in nucleation and Aitken mode with least variability associated with the accumulation mode.