Quantitative method to determine the regional drinking water odorant regulation goals based on odor sensitivity distribution：Illustrated using 2-MIB

Taste and odor （T/O） in drinking water often cause consumer complaints and are thus regulated in many countries. However, people in different regions may exhibit different sensitivities toward WO. This study proposed a method to determine the regional drinking water odorant regulation goals （ORGs） based on the odor sensitivity distribution of the local population. The distribution of odor sensitivity to 2-methylisobomeol （2-MIB） by the local population in Beijing, China was revealed by using a normal distribution function/model to describe the odor complaint response to a 2-MIB episode in 2005, and a 2-MIB concentration of 12.9 ng/L and FPA （flavor profile analysis） intensity of 2.5 was found to be the critical point to cause odor complaints. Thus the Beijing ORG for 2-MIB was determined to be 12.9 ng/L. Based on the assumption that the local FPA panel can represent the local population in terms of sensitivity to odor, and that the critical FPA intensity causing odor complaints was 2.5, this study tried to determine the ORGs for seven other cities of China by performing FPA tests using an FPA panel from the corresponding city. ORG values between 12.9 and 31.6 ng/L were determined, showing that a unified ORG may not be suitable for drinking water odor regulations. This study presents a novel approach for setting drinking water odor regulations.     

污水生物处理实际工艺中氧化亚氮的释放：现状与挑战

介绍了污水生物处理过程中N2O的产生途径,重点分析了污水厂典型脱氮工艺的N2O释放差异及其原因,提出了城市污水脱氮处理过程N2O减排的具体措施,并估算出全国城镇污水处理厂2011年N2O释放总量约为1.26×109g(以N计),对今后关于城市污水脱氮处理过程N2O产生及减排的研究趋势进行了评估.     

Cloning and expression analysis of geosmin synthase gene from Aphanizomenon gracile北大核心CSCD

Geosmin is a secondary metabolite responsible for earthy odors. The occurrence of geosmin has great impact on the quality of water environment. The gene essential for geosmin biosynthesis have been identified in several species. But little is known about the mechanism of geosmin synthesis in Aphanizomenon gracile. This study attempted to clone the gene involved in geosmin biosynthesis of Aphanizomenon gracile a nd a nalyze t he geosmin production u nder d ifferent e nvironments. T he high-efficiency thermal asymmetric interlaced PCR (hiTAIL-PCR) was used to amplify the full-length of geosmin synthase gene from Aphanizomenon gracile (WH-1). Real time PCR (RT-PCR) was applied to quantify the geosmin production in different light and temperature. As a result, geo, a geosmin synthase gene from Aphanizomenon gracile (WH-1) was cloned by hiTAIL-PCR. The full-length open reading frame (ORF) of geo was 2 262 bp, coding for a protein of 753 amino acids. Meanwhile, WH-1 was treated with different environment conditions and mRNA expression levels of geo were quantified by RT-PCR. It was found that low temperature (15 °C), high light intensity (35 μmol m-2 s-1) and continuous light illumination were beneficial to the expression of geo. The successful amplification of geosmin synthase gene verified that hiTAIL-PCR is an effective and simple procedure of low cost. The result provides fundamental knowledge on the monitoring and prevention for odorants.     

Stepwise multiple regression method of greenhouse gas emission modeling in the energy sector in Poland

The energy sector in Poland is the source of 81% of greenhouse gas (GHG) emissions. Poland, among other European Union countries, occupies a leading position with regard to coal consumption. Polish energy sector actively participates in efforts to reduce GHG emissions to the atmosphere, through a gradual decrease of the share of coal in the fuel mix and development of renewable energy sources. All evidence which completes the knowledge about issues related to GHG emissions is a valuable source of information. The article presents the results of modeling of GHG emissions which are generated by the energy sector in Poland. For a better understanding of the quantitative relationship between total consumption of primary energy and greenhouse gas emission, multiple stepwise regression model was applied. The modeling results of CO₂ emissions demonstrate a high relationship (0.97) with the hard coal consumption variable. Adjustment coefficient of the model to actual data is high and equal to 95%. The backward step regression model, in the case of CH₄ emission, indicated the presence of hard coal (0.66), peat and fuel wood (0.34), solid waste fuels, as well as other sources (− 0.64) as the most important variables. The adjusted coefficient is suitable and equals R² = 0.90. For N₂O emission modeling the obtained coefficient of determination is low and equal to 43%. A significant variable influencing the amount of N₂O emission is the peat and wood fuel consumption.     

Stepwise multiple regression method of greenhouse gas emission modeling in the energy sector in Poland

The energy sector in Poland is the source of 81% of greenhouse gas (GHG) emissions. Poland, among other European Union countries, occupies a leading position with regard to coal consumption. Polish energy sector actively participates in efforts to reduce GHG emissions to the atmosphere, through a gradual decrease of the share of coal in the fuel mix and development of renewable energy sources. All evidence which completes the knowledge about issues related to GHG emissions is a valuable source of information. The article presents the results of modeling of GHG emissions which are generated by the energy sector in Poland. For a better understanding of the quantitative relationship between total consumption of primary energy and greenhouse gas emission, multiple stepwise regression model was applied. The modeling results of CO₂ emissions demonstrate a high relationship (0.97) with the hard coal consumption variable. Adjustment coefficient of the model to actual data is high and equal to 95%. The backward step regression model, in the case of CH₄ emission, indicated the presence of hard coal (0.66), peat and fuel wood (0.34), solid waste fuels, as well as other sources (-0.64) as the most important variables. The adjusted coefficient is suitable and equals R² = 0.90. For N₂O emission modeling the obtained coefficient of determination is low and equal to 43%. A significant variable influencing the amount of N₂O emission is the peat and wood fuel consumption.     

温室气体和空气污染物协同治理研究展望

温室气体和空气污染物的协同治理是一种双赢的策略。自协同效应的概念提出以来,大量研究对温室气体和大气污染之间的协同减排技术、措施、潜力等方面进行了评估。本研究回顾了协同治理理论的发展历程、典型案例以及重要的政策实践,在此基础上讨论了当前研究与实践的特点,并对未来研究提出了建议。典型案例涉及能源、交通、工业和居民部门,政策实践讨论了温室气体和空气污染协同治理政策的主要类型及其实施情况。从损失评估、协同机理、高精度排放清单及模拟等角度对未来促进协同治理的研究提出了方向建议。     

嘉兴市春季一次持续雾霾过程中气象条件与污染物变化特征分析

2015年5月17~20日嘉兴市发生了一次持续性雾霾过程,本研究根据5月17~22日污染气体(O_3、SO_2、NO_2和CO)、PM_(10)、PM_(2.5)、10 nm~10μm气溶胶数浓度、气象要素及边界层探空数据,分析了这次过程的成因及其不同污染物的变化特征.结果表明,副高位置北抬、均压场结构、地面静小风和边界层中逆温层为这次雾霾过程的发生和维持提供了水汽、动力和热力条件.这次雾霾过程包含1次降雨和2次雾过程(雨雾和辐射-平流雾).雾霾过程中NO_2、CO、PM_(10)和PM_(2.5)的浓度较高,SO_2和O_3的浓度较低.强降雨对PM_(10)、PM_(2.5)和SO_2清除作用较大,弱降雨会加重污染过程.雨雾的发展过程中,PM的浓度持续积聚;辐射-平流雾过程中,PM浓度先快速下降然后再增加.不同过程中气溶胶数浓度谱均为单峰型分布,但是谱型差异较大,干净天、降雨、雾霾过程、雨雾和辐射-平流雾过程中气溶胶数浓度谱峰值分别位于20~30 nm、100 nm、30~60nm、120 nm和90 nm.表面积浓度谱在干净天、降雨、雾霾和雨雾过程中均为三峰型分布,辐射-平流雾为四峰型分布.     

生物炭添加对半干旱地区土壤温室气体排放的影响

为确定生物炭添加对半干旱地区农田土壤温室气体释放的影响,采用小区定位试验,利用锯末(J)和槐树皮(H)及3种添加比例(1%、3%、5%,质量百分比),研究了生物炭添加6个月内表层土壤CO2、CH4和N2O等3种温室气体排放的动态变化.结果表明,与对照相比,各处理土壤CO2排放通量随生物炭的添加呈现增加的趋势,锯末和槐树皮等两种生物炭处理的土壤CO2平均排放通量分别增加了1.89%和3.34%,但差异不显著.CH4排放随着生物炭添加量的增加而降低,各生物炭处理的土壤表层CH4排放量平均降幅分别为:J1:1.17%、J3:2.55%、J5:4.32%、H1:2.35%、H3:5.83%、H5:7.32%.其中,锯末生物炭仅在5%添加量时较对照差异显著(P0.05),而槐树皮生物炭处理在3%和5%的添加量与对照差异均达显著水平(P0.05).生物炭对N2O的排放影响没有明显规律性.研究表明,生物炭在短期内对半干旱地区农田土壤CO2和N2O的排放没有显著影响,而对CH4排放则影响显著(P0.05).就生物炭类型而言,槐树皮生物炭在抑制CH4排放方面优于锯末生物炭,差异显著(P=0.048).     

短期保护性耕作措施对大豆-冬小麦轮作系统温室气体排放的影响

通过田间试验,在大豆和冬小麦生长季,进行常规翻耕(conventional tillage,T)、免耕(no-tillage with no straw cover,NT)、常规翻耕+秸秆(conventional tillage with straw cover,TS)、免耕+秸秆(no-till with straw cover,NTS)4种耕作措施处理,采用静态箱-气相色谱法测定土壤-作物系统CO_2和N_2O排放通量.结果表明:在大豆生长季,与T相比,NTS在开花-结荚期显著增加了CO_2累积排放量(P=0.045),增幅达27.9%;NT在鼓粒-成熟期显著降低了CO_2累积排放量(P=0.043),降幅达28.9%.与T相比,NT在鼓粒-成熟期的N_2O累积排放量降低了28.3%(P=0.042).在冬小麦生长季,与T相比,TS、NT在拔节-孕穗期使CO_2累积排放量降低了24.3%(P=0.032)和36.0%(P=0.041),在成熟期降低了26.8%(P=0.027)和33.1%(P=0.038).在返青期,NT、NTS、TS的N_2O累积排放量与T比较均没有明显差异,NTS比NT的N_2O累积排放量降低了42.0%(P=0.035).可见,保护性耕作措施对土壤-作物系统CO2排放的影响较大,对N2O排放的影响不明显.     

天津市夏季蜂窝状溶蚀器涂层溶液浓度确定的实验研究

于2013年7月1日～8月31日,在天津市南开大学理化楼楼顶,采用蜂窝状溶蚀器进行了溶蚀器涂层溶液最适浓度的探究实验.结果表明,在天津夏季,蜂窝状溶蚀器的碳酸钠涂层溶液最适浓度为3%,柠檬酸涂层溶液最适浓度为6%.含有溶蚀器系统的颗粒物采样法与传统采样法对比发现,含蜂窝状溶蚀器的采样系统所得到的PM2.5样品浓度有86%低于传统方法所得到的PM2.5样品浓度,其原因主要为1酸/碱性气体被去除,使其无法与富集在采样膜上的颗粒物发生反应,也无法吸附到颗粒物上;2溶蚀器系统采样过程中,部分颗粒物被捕集到溶蚀器上;3酸/碱性气体被去除,导致气-粒平衡被打破,部分颗粒物组分向气态转化.