我国火电厂脱硫脱硝行业2010年发展综述

综述了2010年我国火电厂脱硫脱硝行业的发展概况,介绍了行业目前采用的主要技术及新技术,分析了行业的市场特点及存在的主要问题,提出了对策及建议,并对行业的发展进行了展望。     

安徽茶园土壤氟在茶树体内的富集与转运特征

研究了安徽宣城、六安和合肥茶区不同茶园土壤氟含量及在茶树体内的富集与转运特征,探讨了茶树根际和非根际土壤氟的有效性特征及其在茶树体内的累积规律.结果表明,安徽省典型茶园表层土壤全氟含量为：六安黄棕壤（319.7 mg.kg^-1）〉宣城黄红壤（316.6 mg.kg^-1）〉合肥黄褐土（311.3 mg.kg^-1）,...     

Integrating soil carbon cycling with that of nitrogen and phosphorus in the watershed model SWAT: Theory and model testing

In this paper we describe and test a sub-model that integrates the cycling of carbon (C), nitrogen (N) and phosphorus (P) in the Soil Water Assessment Tool (SWAT) watershed model. The core of the sub-model is a multi-layer, one-pool soil organic carbon (S_C) algorithm, in which the decomposition rate of S_C and input rate to S_C (through decomposition and humification of residues) depend on the current size of S_C. The organic N and P fluxes are coupled to that of C and depend on the available mineral N and P, and the C:N and N:P ratios of the decomposing pools. Tillage explicitly affects the soil organic matter turnover rate through tool-specific coefficients. Unlike most models, the turnover of soil organic matter does not follow first order kinetics. Each soil layer has a specific maximum capacity to accumulate C or C saturation (S_x) that depends on texture and controls the turnover rate. It is shown in an analytical solution that S_x is a parameter with major influence in the model C dynamics. Testing with a 65-yr data set from the dryland wheat growing region in Oregon shows that the model adequately simulates the S_C dynamics in the topsoil (top 0.3 m) for three different treatments. Three key model parameters, the optimal decomposition and humification rates and a factor controlling the effect of soil moisture and temperature on the decomposition rate, showed low uncertainty as determined by generalized likelihood uncertainty estimation. Nonetheless, the parameter set that provided accurate simulations in the topsoil tended to overestimate S_C in the subsoil, suggesting that a mechanism that expresses at depth might not be represented in the current sub-model structure. The explicit integration of C, N, and P fluxes allows for a more cohesive simulation of nutrient cycling in the SWAT model. The sub-model has to be tested in forestland and rangeland in addition to agricultural land, and in diverse soils with extreme properties such high or low pH, an organic horizon, or volcanic soils.     

Knowledge gain and behavioral change in citizen-science programs

Citizen-science programs are often touted as useful for advancing conservation literacy, scientific knowledge, and increasing scientific-reasoning skills among the public. Guidelines for collaboration among scientists and the public are lacking and the extent to which these citizen-science initiatives change behavior is relatively unstudied. Over two years, we studied 82 participants in a three-day program that included education about non-native invasive plants and collection of data on the occurrence of those plants. Volunteers were given background knowledge about invasive plant ecology and trained on a specific protocol for collecting invasive plant data. They then collected data and later gathered as a group to analyze data and discuss responsible environmental behavior with respect to invasive plants. We tested whether participants without experience in plant identification and with little knowledge of invasive plants increased their knowledge of invasive species ecology, participation increased knowledge of scientific methods, and participation affected behavior. Knowledge of invasive plants increased on average 24%, but participation was insufficient to increase understanding of how scientific research is conducted. Participants reported increased ability to recognize invasive plants and increased awareness of effects of invasive plants on the environment, but this translated into little change in behavior regarding invasive plants. Potential conflicts between scientific goals, educational goals, and the motivation of participants must be considered during program design.     

强化生物除磷系统的微生物学及生化特性研究进展

综述了强化生物除磷(Enhanced biological phosphorus removal,EBPR)系统的微生物学和生化特性两方面的最新研究进展.在微生物学方面,归纳了EBPR系统中的主要微生物——聚磷菌、聚糖菌、反硝化聚磷菌的分类及相互之间的竞争和联系.具有聚磷功能的微生物种类繁多,目前普遍认为Accumulibacter是一种典型的聚磷菌,在各种规模的EBPR系统中均不同程度的存在.关于聚磷菌和聚糖菌的联系、反硝化聚磷菌的分类问题存在争论.在生化特性方面,归纳了聚磷菌体内三大聚合物——糖原、聚β-羟基烷酸脂和聚合磷酸盐与聚磷菌代谢功能的关系.聚磷菌厌氧阶段的还原力由糖酵解和有机底物TCA循环共同提供,其比例受种群结构和实验条件影响.糖原根据不同菌株厌氧阶段的降解途径有所不同,但是对细胞都起到调节氧化平衡的作用.聚β-羟基烷酸脂的组成由有机底物决定,丙酸为底物时4种单体均可检测出来.聚磷菌厌氧释磷的能量来自聚磷分解和糖原分解,耗能受环境条件影响.图5表3参37     

陆生植物化感作用的抑藻研究进展

有效控制水华,治理富营养化水体是目前环境领域的研究热点和前沿。所谓化感物质,就是由植物、细菌、病毒和真菌所产生的二次代谢产物。利用水生植物的化感作用或化感物质抑制水体中藻类的爆发被认为是一种高效、低毒、环境亲合性好的方法而备受关注。然而,对于陆生植物应用于抑制藻类生长的研究却较少。文章在对化感作用的概念的演化、各种生物对藻类化感抑制作用、化感物质抑藻机理等方面进行了较系统的论述,总结了近年来国内外学者对于陆生植物化感作用抑藻的研究进展。文章认为相对于水生植物在抑藻方面的局限性,陆生植物的优势体现在对水生生态系统影响明显（化感作用明显）、所含抑藻化感物质种类丰富、不易受水生生态环境影响等方面,并对今后陆生植物抑藻技术的研究方向进行了展望,陆生植物中尤其是菊科植物化感抑藻应用前景广阔。最后指出,陆生植物的化感抑藻作用研究还存在进一步探索和改进化感物质的提取和鉴定方法、抑藻作用机理的研究、应用实际水体时的生态安全性等方面的问题。     

环境中多环芳烃(PAHs)的生物标志物的功效分析

污染物的生物监测一直是环境风险评估研究的重要内容.肝脏中谷胱甘肽硫转移酶(glutathione-S -transferase,GST)、7-乙氧基-3-异吩恶唑酮-脱乙基酶(ethoxyresorufin-O-deethylase,EROD)、DNA-加合物(DNA-adducts)和胆汁中多环芳烃代谢物(PAH m...     

大型火电机组二氧化硫排放规律研究

选取35台装机容量30万千瓦以上大型火电机组,进行了为期2年的监测。总结出大型火电机组二氧化硫排放规律,对大型火电机组燃煤含硫量、脱硫设施脱硫效率和二氧化硫排放浓度三者间的关系进行了统计分析,建立了线性回归方程,进而对燃用不同含硫量燃煤的火电机组执行不同排放标准时,配套脱硫设施需要达到的脱硫效率进行了预测。     

神木煤矿区土壤重金属污染特征研究

通过对神府煤田开采区3个煤矿区周围土壤Cu、Cd、Cr、Mn、Ni质量分数进行测定及分析,评价了煤田开采对周围土壤的污染程度。结果表明,长期的煤炭资源开发、运输等活动,已导致周围土壤受到重金属不同程度的累积性污染,土壤中Cd、Ni质量分数高于陕西省土壤背景值,且Cd污染程度较高,Ni污染程度较低,而Cu、Cr、Mn基本不受污染。3个煤矿表层土壤各重金属元素质量分数均表现出污染区大于对照区,但这种变化幅度存在一定差异;Cu、Cr、Mn 3种重金属元素虽没有超出背景值,但已表现出一定程度的累积;煤矿周围土壤重金属污染受到开采年限、土壤质地、风向等因素的影响。3个煤矿污染区土壤剖面样品中,5种重金属元素质量分数基本上随着土壤深度的增加呈现降低的趋势,且这种趋势具有波动性。     

不同品种浮萍磷素吸收动力学特征

以长江三角洲地区常见的3种浮萍——稀脉浮萍(Lemna aequinoctialis)、少根紫萍(Spirodela oligorrhiza)和紫萍(Spriodela polyrrhiza)为对象,研究不同品种浮萍对HPO42-的吸收动力学影响。结果表明,3种浮萍对无机磷的吸收动力学特征基本可采用Michaelis-Menten方程描述3,种浮萍无机磷吸收速率V对磷浓度S双倒数曲线的拟合关系均在α=0.01水平上显著。稀脉浮萍对无机磷的亲和力较强,适宜应用于对低磷浓度污水的净化;紫萍对无机磷的最大吸收速率Vmax较高,适宜应用于对高磷浓度污水的净化。