ASBR工艺的研究现状与发展

厌氧序批式反应器(ASBR)由于生化推动力大、投资小、操作简单和运行灵活而倍受关注,但它存在压力波动、容易引起挥发性有机酸积累、颗粒污泥形成慢等不利因素,限制了该技术的推广应用.本文介绍了厌氧序批式反应器的操作模式、影响因素以及目前国内外最新的研究进展,并指出要推动这项技术的工业化应用所需要解决的问题.     

我国公众灾害教育研究综述

面向公众的灾害教育是防灾减灾工作中的重要一环。通过对公众灾害教育相关研究梳理,明确其概况、实施途径,在此基础上提出策略促进其开展,进而提高全民防灾素养。     

鄂尔多斯市城市道路交通噪声的现状分析及防治对策——以东胜区为例

通过分析鄂尔多斯市2007—2010年东胜区道路交通噪声污染现状,指出存在的主要问题,提出了相应的污染控制及防治措施,为有效改善城市道路交通噪声污染提供科学依据。     

猪粪中典型类固醇雌激素的固相萃取/GC-MS检测

以猪粪中常见且具有较大潜在危害的E1(雌酮),17α-E2(17α-雌二醇),17β-E2(17β-雌二醇)和E3(雌三醇)为研究对象,建立了猪粪中这4种典型类固醇雌激素的GC-MS(气相色谱-质谱)分析检测方法.着重优化了样品的前处理方法,包括对超声提取剂、超声提取时间、固相萃取淋洗剂、衍生化温度和时间的优化选择.结果表明:在优化的试验条件下,猪粪中的典型雌激素E1,17α-E2,17β-E2和E3检出限分别为8.0,2.5,5.1和3.3 μg/kg,平均加标回收率在92.3%～137.4%之间.      

Cu2+共存对磺胺嘧啶在土壤中吸附的影响

选取土壤环境中检出率高的铜和磺胺类抗生素为目标污染物,采用批次平衡试验法研究了在Cu²⁺共存时,磺胺嘧啶（SDZ）在pH值、离子浓度、有机质含量、颗粒粒径等因子影响下的吸附特征,并对吸附前后的土样进行傅里叶红外光谱（FT-IR）表征.结果表明,在不同pH值环境中,Cu²⁺显著提高了SDZ的吸附量;Cu²⁺和Ca²⁺均能与SDZ通过络合反应和离子桥作用促进SDZ的土壤吸附;有机质对SDZ的土壤吸附的影响与共存Cu²⁺浓度密切相关;Cu²⁺对黏粒吸附SDZ的影响较小;FT-IR分析表明,土壤对SDZ-Cu的吸附以物理吸附为主,并伴随氢键作用、表面络合、π-π共轭等作用.Cu²⁺可显著增加SDZ在土壤中持留能力,降低其环境迁移的风险.     

中晚全新世泰国湾Chanthaburi海岸Welu河口区沉积物的敏感粒级组分及其对季风气候变化的指示意义

对泰国湾Chanthaburi海岸Welu河口区三根沉积物柱样(WLE08、WLE10和WLE12)进行了210Pb测年分析、AMS14C测年分析和粒度分析.粒度分析结果表明,研究区三根柱样的沉积物类型均属于粘土质粉砂,包含部分贝壳及生物碎屑,分选差,呈正偏态,属于中晚全新世以来形成的沉积物.通过粒级-标准偏差方法对沉...     

基于物质流分析的建筑垃圾产生量预测

针对建筑垃圾产生量激增但其统计数据缺失问题,基于1stOpt拟合平台和Visual Basic编程软件,构建城镇住宅和非住宅建筑垃圾产生量动态预测模型,定量模拟不同建筑寿命情景下建筑垃圾产生量及其组分的变化趋势。结果表明:我国城镇住宅建筑和非住宅建筑存量面积分别在2058年和2064年达到峰值(657.35亿和569.41亿m²)。在短、中、长建筑寿命情景下,住宅和非住宅建筑的新建面积均在21世纪20年代达到峰值,拆除面积峰值将在21世纪下半叶实现。在短、中、长寿命3种情景下,我国城镇住宅建筑垃圾总产量分别于2072年、2081年和2100年达到峰值(28.69亿、21.71亿和16.50亿t);非住宅建筑垃圾总产量分别于2077年、2084年和2100年达到峰值(26.25亿、20.29亿、15.48亿t)。2000年之前,建筑垃圾主要成分为施工垃圾,2000年之后,以拆除垃圾为主,至2100年拆除垃圾占比达98%。其中,混凝土、砖块、钢铁分别占44%~71%、22%~51%、0.50%~2.89%,其他成分占2.76%~4.68%。综合考虑建筑流量发展趋势和建筑垃圾产生特征,政府部门应宏观调控减缓人均建筑面积增长速度,延长建筑使用寿命,提高建筑垃圾循环利用率和二次建材原料的市场消纳量,从而减少建筑垃圾产生量,降低建筑垃圾对生态环境的破坏。     

Investigation of carbonyl compound sources at a rural site in the Yangtze River Delta region of China

Carbonyl compounds are important intermediates in atmospheric photochemistry, but their primary sources are still not understood well. In this work, carbonyls, hydrocarbons, and alkyl nitrates were continuously measured during November 2011 at a rural site in the Yangtze River Delta region of China. Mixing ratios of carbonyls and hydrocarbons showed large fluctuations during the entire measurement. The average level for total measured volatile organic compounds during the pollution episode from 25th to 27th November, 2011 was 91.6 ppb, about 7 times the value for the clean period of 7th-8th, November, 2011. To preliminarily identify toluene sources at this site, the emission ratio of toluene to benzene (T/B) during the pollution episode was determined based on photochemical ages derived from the relationship of alkyl nitrates to their parent alkanes. The calculated T/B was 5.8 ppb/ppb, significantly higher than the values of 0.2-1.7 ppb/ppb for vehicular exhaust and other combustion sources, indicating the dominant influence of industrial emissions on ambient toluene. The contributions of industrial sources to ambient carbonyls were then calculated using a multiple linear regression fit model that used toluene and alkyl nitrates as respective tracers for industrial emission and secondary production. During the pollution episode, 18.5%, 69.0%, and 52.9% of measured formaldehyde, acetaldehyde, and acetone were considered to be attributable to industrial emissions. The emission ratios relative to toluene for formaldehyde, acetaldehyde, and acetone were determined to be 0.10, 0.20 and 0.40 ppb/ppb, respectively. More research on industrial carbonyl emission characteristics is needed to understand carbonyl sources better.     

Microcystis aeruginosa/Pseudomonas pseudoalcaligenes interaction effects on off-flavors in algae/bacteria co-culture system under different temperatures

We conducted an experiment to study the interaction effects of Microcystis aeruginosa and Pseudomonas pseudoalcaligenes on off-flavors in an algae/bacteria co-culture system at three temperatures (24, 28 and 32°C). Gas chromatography–mass spectrometry was applied to measure off-flavor compounds dimethyl sulfide (DMS), dimethyl trisulfide (DMTS), 2-methylisoborneol, geosmin (GEO) and β-cyclocitral. During the lag phase of co-cultured M. aeruginosa (first 15 days), P. pseudoalcaligenes significantly increased the production of DMS, DMTS and β-cyclocitral at all three temperatures. In the exponential phase of co-cultured M. aeruginosa (after 15 days), M. aeruginosa became the main factor on off-flavors in the co-culture system, and β-cyclocitral turned to the highest off-flavor compound. These results also indicated that DMS, DMTS and β-cyclocitral were the main off-flavor compounds in our M. aeruginosa/P. pseudoalcaligenes co-culture system. Univariate analysis was applied to investigate the effects of M. aeruginosa and P. pseudoalcaligenes on the production of off-flavors. The results demonstrated that both M. aeruginosa and P. pseudoalcaligenes could increase the production of DMS and DMTS, while β-cyclocitral was mainly determined by M. aeruginosa. Our results also provide some insights into understanding the relationship between cyanobacteria and heterotrophic bacteria.     

Case Study Comparing Multiple Irrigated Land Datasets in Arizona and Colorado,USA

While there are currently a number of irrigated land datasets available for the western United States (U.S.), there is uncertainty regarding in how they relate to each other. To help understand the characteristics of available irrigated datasets, we compared (1) the Cropland Data Layer (CDL), (2) Moderate Resolution Imaging Spectroradiometer Irrigated Agriculture Dataset (IAD), (3) Digitized Irrigated Land (DIL), and (4) Consumptive Use for Irrigation (CUI) data in Arizona and Colorado, U.S. These datasets were derived from multiple sources at various spatial resolutions and temporal scales. We found spatial and temporal trends among all of them. The datasets showed decreases in irrigated land area in Arizona during the 2000–2010 time period. The change ranges and ratios were similar in all Arizona datasets. Irrigated land in Colorado decreased in DIL and CUI but increased in IAD and CDL. The agreement within the same type of dataset during different time periods was from 60% to 80% (R² from 0.35 to 0.72) in Arizona and from 50% to 80% (R² from 0.23 to 0.68) in Colorado. DIL had the highest agreement (80%) in both states. The agreement among different datasets acquired at approximately the same time frame ranged from 51% to 63% (R² from 0.14 to 0.31) in Arizona and from 47% to 69% (R² from 0.32 to 0.40) in Colorado. The results from this study support a greater understanding of the multiresolution and multitemporal nature of these datasets for various applications.