东北地区畜禽养殖业污染物总量减排对策分析

论述了东北地区畜禽养殖业的污染现状,针对东北地区畜禽养殖业污染物总量减排的需要,从政策引导、清洁生产和全过程控污等方面提出了相应的污染物总量减排对策,并推荐合理可行和适合当地实际情况的畜禽养殖废物综合处理与资源化利用技术,为环保和农业部门的畜禽养殖业污染物总量减排工作提供一定参考。     

排污权交易之排放跟踪数据校核研究

本文以排污权交易的核心业务排放跟踪管理为出发点,选择电厂二氧化硫指标进行排放跟踪数据过程校核体系研究,探索进一步提高排污权交易体系中排放数据准确性的机制。     

沈阳市"十二五"期间NOx总量控制对策与建议

在分析沈阳市NOx排放现状及发展趋势基础上,针对NOx总量控制工作中存在基础薄弱、污染物增量大、治理技术上存在不确定因素等实际问题,总结了"增量控制,存量削减"的总体工作思路,并提出了实施电力企业脱硝工程改造的对策和建议.     

餐饮废油均相法制取生物柴油研究进展

阐述了餐饮废油(WCO)制备生物柴油的均相催化方法,介绍了餐饮废油生物柴油的特性和排放性能,并展望了生物柴油生产的发展趋势.     

挥发回转窑处置钢丝绳行业污泥的污染物排放研究

通过利用挥发回转窑处置钢丝绳行业污泥的工业化试验,测定了烟气排放参数及污染物排放指标,分析了污泥添加对挥发回转窑烟气排放的影响程度及各项污染物指标之间的相关性。结果表明,污泥添加量18%～22%,对挥发回转窑烟气排放无影响,烟尘、SO2、氮氧化物、Zn、Pb、HCl等各项污染物指标均符合国家控制标准;烟尘排放浓度与Pb、Zn排放浓度呈显著正相关;SO2排放浓度与烟气含氧量、空气过剩系数、排放浓度呈显著负相关。通过控制烟气中烟尘浓度可减少Zn、Pb的排放,在满足SO2排放浓度达标的同时,还应加强工艺供氧量的管理,控制的产生,减少烟气对生产设备的腐蚀。     

电子受体类型对聚磷污泥胞外聚合物的影响研究

采用3种电子受体(硝氮、亚硝氮、氧),在SBR反应器中分别驯化了具有稳定除磷能力的聚磷污泥。对比研究了不同聚磷污泥胞外聚合物(EPS)的组分与含量,结合三维荧光光谱对EPS中有机物质进行分析。研究表明,以硝氮、亚硝氮为电子受体的聚磷污泥EPS平均浓度较为接近,分别为115.6mg/gVSS、133.5 mg/gVSS,由厌氧段至缺氧段,EPS总浓度有所下降。以氧为电子受体聚磷污泥的EPS平均浓度相对较高,为194.5 mg/gVSS,由厌氧段至好氧段,EPS总浓度略有升高。不同聚磷污泥的EPS组分均以胞外蛋白为主,占EPS总量的53%~65%,多糖与核酸占EPS总量28%~34%、5%~7%。三维荧光光谱显示3种聚磷污泥EPS均具有芳香结构蛋白质、可溶性代谢物的荧光峰,另外,以硝氮为电子受体的聚磷污泥还具有明显的腐殖酸类物质的荧光峰。研究结果表明电子受体对聚磷污泥EPS的组分、浓度、有机质类别有一定的影响。     

南京市氮氧化物排放行业分布特征及减排对策

采用污染源普查资料与实地调查相结合的方法,对南京市各行业氮氧化物(NOx)排放源及排放量进行调查和梳理。结果表明:各行业NO x排放分担率依次为电力41%、机动车25%、钢铁10%、水泥9%、石化7%、其它工业5%、居民生活3%。针对南京市现状,对重点排放源提出了NO x减排措施与对策。     

Field monitoring of volatile organic compounds using passive air samplers in an industrial city in Japan

Highly portable, sensitive, and selective passive air samplers were used to investigate ambient volatile organic compound (VOC) levels at multiple sampling sites in an industrial city, Fuji, Japan. We determined the spatial distributions of 27 species of VOCs in three campaigns: Mar (cold season), May (warm season), and Nov (mild season) of 2004. In all campaigns, toluene (geometric mean concentration, 14.0microg/m3) was the most abundant VOC, followed by acetaldehyde (4.76microg/m3), and formaldehyde (2.58microg/m3). The spatial distributions for certain VOCs showed characteristic patterns: high concentrations of benzene and formaldehyde were typically found along major roads, whereas high concentrations of toluene and tetrachloroethylene (PCE) were usually found near factories. The spatial distribution of PCE observed was extremely consistent with the diffusion pattern calculated from Pollutant Release and Transfer Register data and meteorological data, indicated that passive air samplers are useful for determining the sources and distributions of ambient VOCs.     

Suspended Particulate Matter Distribution in Rural-Industrial Satna and in Urban-Industrial South Delhi

An air quality sampling program was designed and implemented to collect the baseline concentrations of respirable suspended particulates (RSP = PM₁₀), non-respirable suspended particulates (NRSP) and fine suspended particulates (FSP = PM_2.5). Over a three-week period, a 24-h average concentrations were calculated from the samples collected at an industrial site in Southern Delhi and compared to datasets collected in Satna by Envirotech Limited, Okhla, Delhi in order to establish the characteristic difference in emission patterns. PM_2.5, PM₁₀, and total suspended particulates (TSP) concentrations at Satna were 20.5 ± 6.0, 102.1 ± 41.1, and 387.6 ± 222.4 μg m⁻³ and at Delhi were 126.7 ± 28.6, 268.6 ± 39.1, and 687.7 ± 117.4 μg m⁻³. Values at Delhi were well above the standard limit for 24-h PM_2.5 United States National Ambient Air Quality Standards (USNAAQS; 65 μg m⁻³), while values at Satna were under the standard limit. Results were compared with various worldwide studies. These comparisons suggest an immediate need for the promulgation of new PM_2.5 standards. The position of PM₁₀ in Delhi is drastic and needs an immediate attention. PM₁₀ levels at Delhi were also well above the standard limit for 24-h PM₁₀ National Ambient Air Quality Standards (NAAQS; 150 μg m⁻³), while levels at Satna remained under the standard limit. PM_2.5/PM₁₀ values were also calculated to determine PM_2.5 contribution. At Satna, PM_2.5 contribution to PM₁₀ was only 20% compared to 47% in Delhi. TSP values at Delhi were well above, while TSP values at Satna were under, the standard limit for 24-h TSP NAAQS (500 μg m⁻³). At Satna, the PM₁₀ contribution to TSP was only 26% compared to 39% in Delhi. The correlation between PM₁₀, PM_2.5, and TSP were also calculated in order to gain an insight to their sources. Both in Satna and in Delhi, none of the sources was dominant a varied pattern of emissions was obtained, showing the presence of heterogeneous emission density and that nonrespirable suspended particulate (NRSP) formed the greatest part of the particulate load.     

Human impacts on methane emission from mangrove ecosystems in India

This study deals with the emission of methane in relation to changing environmental conditions and human impact, in three mangrove ecosystems of south India. Time-varying fluxes of methane adopting the close chamber technique were used to estimate CH₄ emission from an unpolluted site (Pichavaram mangroves) and two polluted sites viz. (1) Ennore Creek mangroves (affected by fertilizer effluents and crude oil discharges) and (2) Adyar estuary mangroves (affected by the discharges of organic and industrial wastes), covering monthly and seasonal variations. The results indicate annual average CH₄ emissions of 7.4, 5.02 and 15.4 mg m⁻² h⁻¹ from the sediment–water interface of the Pichavaram, Ennore Creek and Adyar estuary respectively. Emission characteristics obtained at Pichavaram mangroves represent a natural variability with changing physico-chemical factors, whereas the emission characteristics at Ennore Creek and Adyar estuary mangroves show anthropogenic influence. Several environmental factors such as oxygen availability, organic matter, soil physical and chemical properties, in addition to human-mediated interventions have been identified as influencing emission rates in the mangrove ecosystems. Preliminary CH₄ emission estimates for the mangrove ecosystems along the Indian sub- continent and the tropical and subtropical coastline of the world by linear extrapolation based on surface area range from 0.05 to 0.37 and 2.8 to 19.25 Tg CH₄ year⁻¹ respectively. Our results also highlight the impact of human activities on future emission of methane from the mangrove ecosystems. Received: 3 March 1999 / Accepted: 14 September 1999