大庆地区总悬浮微粒乙醇溶物和水溶物污染状况分析

通过对大庆地区总悬浮微粒（TSP）中主要化学组成─—乙醇溶物和水溶物的测定分析得知，乙醇溶物占TSP的年均值为12．25％，高于北京市（6．41％），在空气中的平均浓度为0．0148mg／m3。乙醇溶物中有机物平均占58.6％，多为含羟基的有机物；无机物主要是控的硫酸盐和硝酸盐。水溶物占TSP的平均值为27.93％，高于北京市（11．29％），在空气中的平均浓度为0．0324mg／m3。从TSP中乙醇溶物和水溶物的测定结果可以看出各测点采暖期乙醇溶物、水溶物的浓度显著高于非采暖期，但其致突变强度比北京市弱。     

除湿机的冷凝水化学成分与空气环境质量的关系

本文采用家用除湿机作为空气水溶性物质采样器方法，并验证了该方法作为空气水溶性物质采样嚣的可行性。本文通过空气冷凝水化学成分与空气总悬浮微粒(TSP)可溶性化学成分的对比，得到水汽中大部分阴阳离子的含量只比TSP低1个数量级，而水汽中的微量元素含量与各种碳的浓度不都比TSP低，TSP中一般检测不出亚硝酸根，而水汽中则检出大量亚硝酸根。     

东营市大气颗粒物中有机污染物的色谱－质谱分析

报道了应用气相色谱和气相色谱。质谱联用法对东营市大气颗粒物中正构烷烃和多环芳烃的分析结果，实际分析中共鉴定出正构烷烃２１种，多环芳烃６３种。定量测定结果表明，东营市冬季大气颗粒物中的总正构烷烃浓度和苯并（ａ）芘浓度均低于国内其他大城市。     

镇江东部地区土壤中多环芳烃的污染特征及来源解析

分析了镇江东部扬中地区土壤中16种优先控制的多环芳烃（PAHs）污染物的含量特征及污染水平。结果表明，该地区土壤的多环芳烃总量为2．4～49．9μg／Kg，其中荧蒽的含量最高，同我国其他地区相比，其污染水平比较低。5个采样点PAHs含量表明有两个点受工业企业影响，其他3个点具有类似的面源污染即地质成因来源。     

多环芳烃污染农田土壤生态修复标准研究——辽宁省地方标准(DB 21/T 2274-2014)的建立及其依据

为指导正确评价多环芳烃污染农田土壤生态修复效果及环境风险,根据辽宁省农田土壤多环芳烃污染状况、多环芳烃污染农田土壤生态修复技术特点,参考国内外相关标准,应用生态风险模型,建立辽宁省地方标准(DB 21/T 2274-2014)——多环芳烃污染农田土壤生态修复标准,提出了生态修复完成后农田土壤中总多环芳烃浓度和苯并[a]芘环境当量总浓度限值。主要内容为:生态修复完成后农田土壤中总多环芳烃浓度低于2 mg/kg,生态修复完成后农田土壤中苯并[a]芘环境当量总浓度低于0.53 mg/kg。     

石油对农作物影响的研究

文章介绍了石油对于农作物影响的试验研究。通过测定田间和盆栽植物体中重金属、有机污染物和籽实中的营养成分和生长发育状况，并与大庆地区相应的农作物相比较表明：植物中的污染物随着土壤中石油浓度增加而增加，而与多环芳烃无正相关性，其含量水平均在本地区正常范围内，石油在试验的特定浓度条件下，对作物的生长发育有促进作用，同时促进淀粉、蛋白质的合成。     

四川省南充市大气中多环芳烃的分布

用超声波萃取，抽滤，减压蒸发浓缩，硅胶柱净化，再逍缩至干，定客溶解的方法处理了南充市5个监测点冬，夏季乘集的大气颗粒物样品，然后用高效液相色谱法分析其中9种多环芳烃含量，大气中苯并[a]芘的年平均含量为31．5ng/m3，略低于成都市1988年测定的年平均值，南充市大气中多环芳烃的主要来源是居民生活用煤，其次是汽车尾气，改变燃料结构，集中供热，加强城市交通管理，是减少多环芳烃污染的途径。     

大庆地区空气中总烃与非甲烷烃分布规律研究

分析了大庆地区空气中总径与非甲烷烃的比例关系，年、季、日变化规律及浓度水平。说明了总径与非甲烷径浓度水平在采暖期和非采暖期无显著差别，且冬、夏分布大体一致，高浓度多集中于大庆市东北部，浓度值向西南偏南方向递减，总烃总体浓度冬季较夏季偏向于西南这一规律。讨论了气候条件对分布规律的影响，并指出总烂的主要来源是油田开发和机动车尾气排放。     

搅拌棒吸附萃取气相色谱法测定地表水中多环芳烃

建立了新型的搅拌棒吸附萃取（SBSE）和热脱附系统（TDU）结合的气相色谱（GC）测定地表水中多环芳烃的方法。考察了萃取时间、搅拌条件及萃取温度对实验的影响,对7种多环芳烃（萘、荧蒽、苯并[b]荧蒽、苯并[k]荧蒽、苯并[ghi]苝、茚并[1,2,3-cd]芘和苯并[a]芘）的加标回收率为89.17%～99.38%,相对标准偏差（RSD）为1.6%～5.6%（n=3）。通过实际样品中PAHs的分析表明,该法快速、灵敏、简单,能满足痕量分析的需求。     

UPLC-DAD-FLD测定土壤中多环芳烃

本文建立了以加速溶剂萃取（ASE）和固相萃取为提取和净化手段，采用超速液相色谱-二极管阵列-荧光检测器（UPLC-DAD-FLD）串联捡测土壤中16种多环芳烃的方法。通过色谱柱的比较，选择更小粒径和内径的分析柱（Supelco SILTMLC．PAH，100×3．0mm，3μm），缩短了分析时间，也节省了溶剂（乙腈），满足大量样品的快速灵敏分析的需要。在保留时间定性的基础上，利用PDA获取的紫外扫描光谱图与目标化合物的特征吸收标准谱图比较，提高了定性分析的准确性。在优化的实验条件下，该方法显示出良好的线性关系（r〉0．999）和精密度（RSD〈10％），16种多环芳烃的检出限在0．005—1．33μg／kg之间，并成功应用于样品分析，样品加标回收率为71．4％～120％。实验中为了确保整个分析过程的可靠性，替代物的加标回收率控制在50％-150％之间；土壤标准参考物的测定结果都在预测值范围内，验证了该方法的准确性。     

Air quality impact assessment of multiple open pit coal mines in northern Colombia

The coal mining region in northern Colombia is one of the largest open pit mining regions of the world. In 2009, there were 8 mining companies in operation with an approximate coal production of ～70 Mtons/year. Since 2007, the Colombian air quality monitoring network has reported readings that exceed the daily and annual air quality standards for total suspended particulate (TSP) matter and particles with an equivalent aerodynamic diameter smaller than 10 μm (PM??) in nearby villages. This paper describes work carried out in order to establish an appropriate clean air program for this region, based on the Colombian national environmental authority requirement for modeling of TSP and PM(10) dispersion. A TSP and PM?? emission inventory was initially developed, and topographic and meteorological information for the region was collected and analyzed. Using this information, the dispersion of TSP was modeled in ISC3 and AERMOD using meteorological data collected by 3 local stations during 2008 and 2009. The results obtained were compared to actual values measured by the air quality monitoring network. High correlation coefficients (>0.73) were obtained, indicating that the models accurately described the main factors affecting particle dispersion in the region. The model was then used to forecast concentrations of particulate matter for 2010. Based on results from the model, areas within the modeling region were identified as highly, fairly, moderately and marginally polluted according to local regulations. Additionally, the contribution particulate matter to the pollution at each village was estimated. Using these predicted values, the Colombian environmental authority imposed new decontamination measures on the mining companies operating in the region. These measures included the relocation of three villages financed by the mine companies based on forecasted pollution levels.     

Assessment and management of air quality for an opencast coal mining area

A study for the assessment and management of the air quality was carried out at Lakhanpur area of Ib Valley Coalfield in Orissa state in India. The 24-h average concentrations of total suspended particulate (TSP) matter, respirable particulate matter (PM10), sulphur dioxide (SO2) and oxides of nitrogen (NOx) were monitored during 1 year period. Samplings were done at a regular interval through out the year at 13 monitoring stations in the residential areas and four monitoring stations in the mining/industrial areas. The 24-hr average TSP and PM10 concentrations ranged from 338.8 to 799.8 microg m(-3) and 102.5-425.6 microg m(-3) for industrial area, and 72.3-497.1 microg m(-3) and 40.8-171.9 microg m(-3) for residential area, respectively. During the study period 24-hr and annual average TSP and PM10 concentrations exceeded the respective standards set in the national ambient air quality standard (NAAQS) protocol at most residential and industrial areas. However, 24-hr and annual average concentrations of SO2 and NOx were well within the prescribed limit of NAAQS both in the residential and industrial areas. The annual and 24-hr average concentrations varied from 23.3 to 36.8 microg m(-3) and 16.0-55.2 microg m(-3) for SO2 and 23.9-41.9 microg m(-3) and 19.0-58.1 microg m(-3) for NOx, respectively. The temporal variations of TSP and PM10 fitted polynomial trend with an average correlation coefficient (R2) of 0.77 (+/-0.17) for TSP and 0.85 (+/-0.10) for PM10. On average the PM10 in the ambient air of the mining area constituted 31.94 (+/-1.76)% of the TSP. The linear regression correlation coefficient (R2) between TSP with PM10 and NOx with SO2 was 0.86 (+/-0.12) and 0.57 (+/-0.20), respectively. Maximal concentrations of TSP and PM10 occurred within the mining site based on the kriging technique. A management strategy is formulated for effective control of air pollution at source and other mitigative measures recommended including implementation of green belts around the sensitive areas where the concentration of air pollutants exceeded the standard limit.     

彭州市环境空气质量变化趋势及规律分析

“九五”期间 ,彭州市环境空气监测主要因子有二氧化硫、二氧化氮、总悬浮颗粒物、降尘和降水。市区空气中主要污染物排序依次为降尘、总悬浮颗粒物、二氧化硫、二氧化氮。其季节变化规律一般为第一季度 >第二季度 >第四季度 >第三季度。主要污染物年变化依次为降尘、总悬浮颗粒物、二氧化硫、二氧化氮 ,在“九五”期间除降尘量出现缓慢下降趋势外 ,其余 3项均不明显。     

浅谈区域性非甲烷烃的环境影响

针对炼油区域可能产生非甲烷烃排放的问题,大庆炼化公司在新项目建设初期采用先进的工艺和设备,降低了非甲烷烃的损失。对非甲烷烃排放进行的环境影响分析表明,在非甲烷烃排放的损失中,汽油装车损失占42%,设备散发损失占23%,原油储罐小呼吸损失21%,原油储罐大呼吸损失10%,汽油储罐小呼吸损失4%。该公司使用内浮顶汽油储罐及对汽油装车采取密闭回收油气的办法,有效地降低了非甲烷烃的散失,对区域环境质量的改善起到了重要作用,同时减少了炼油企业油气的损失。     

Identification of hot spot and safe zones of ambient air quality in North Maharashtra region,India

The continuous infrastructural and economic development exerted pressure on the environmental conditions of the North Maharashtra region. The air quality of North Maharashtra region was analysed for the identification of hot spots and safe zones of ambient air quality. The result shows air pollution at some part of North Maharashtra region. The levels of particulate matter were above the prescribed limits especially at Bhusawal, Dhule and Jalgaon Urban centres. The traces of polyaromatic hydrocarbons were also observed in the urban centres of study area. The binary ratios of the persistent prevailing polycyclic aromatic hydrocarbon (PAH)'s show great correlation with the vehicular exhaust in the study region. The higher levels of pollutants in the study region were recorded in the post-monsoon season. The present study is first of its kind in the North Maharashtra region and an attempt has been made to analyse the anthropogenic sources and concentration of air pollutants in the area. The air pollutants reduce the defence system of human body and lead into severe health consequences like damage of lung tissues with escalation in the existing respiratory and cardiovascular diseases.     

Seasonal Flushing of Pollutant Concentrations and Loads in Urban Stormwater1

Schiff, Kenneth C. and Liesl L. Tiefenthaler, 2011. Seasonal Flushing of Pollutant Concentrations and Loads in Urban Stormwater. Journal of the American Water Resources Association (JAWRA) 47(1):136‐142. DOI: 10.1111/j.1752‐1688.2010.00497.x Abstract: Despite broad observations of first flush within storms, the scientific understanding of seasonal flushing remains incomplete. Seasonal flushing occurs when initial storms of the season have greater concentrations or loads than storms later in the season. The goal of this study was to census stormwater concentrations and loads from an arid, urban watershed to quantify seasonal flushing. Samples were collected every 15 min during the 1997‐1998 wet season from the Santa Ana River and analyzed for total suspended solids. Initial storms of the season generated event mean concentrations 3‐10 times the event mean concentration of storms later in the season. Cumulative flow‐weighted mean concentrations were calculated as the season progressed. Early season storms discharged only 6% of the annual volume, but influenced flow‐weighted mean concentrations well past the midpoint of the wet season. Mass‐based estimates also indicated a disproportionate load in the early portion of the year; over 52% of the annual load was discharged in the first 30% of the annual volume from the highly urbanized lower watershed. Other stormwater pollutants, including six trace metals (Cd, Cr, Cu, Pb, Ni, Zn), were highly correlated with total suspended solids and also exhibited a significant seasonal flush.     

Long-Term Impacts of Land-Use Change on Non-Point Source Pollutant Loads for the St. Louis Metropolitan Area, USA

A land-use-change simulation model (LEAM) and a non-point-source (NPS) water quality model (L-THIA) were closely coupled as LEAMwq in order to determine the long-term implications of various degree of urbanization on NPS total nitrogen (TN), total suspended particles (TSP), and total phosphorus (TP) loads. A future land-use projection in the St. Louis metropolitan area from 2005 to 2030 using three economic growth scenarios (base, low, and high) and a long-term precipitation dataset were used to predict the mean annual surface runoff and mean annual NPS pollutant loads in the region. Results show mean annual TN increases of 0.21%, 0.13%, and 0.14% by 2030 compared to 2000 under the base, high, and low scenarios, respectively. TSP and TP showed similar trends with different magnitudes. Corresponding changes in annual mean surface runoff were shown to be lower than expected, which might be attributed to the small-scale conversion pattern of land uses. In the most dramatic change (high growth) scenario, the runoff would increase across time but at varying rates, and temporal pollutant loads would result in a more complicated pattern than in the other scenarios. This is attributed to the complex interactions between event mean concentrations of pollutants and the magnitude of changes in land-use acreages. By integrating L-THIA with LEAM, LEAMwq was found to be a useful planning tool to illustrate in a quick and simple manner how future water quality is connected to decision-making on future land-use change.     

EMPIRICAL MODELING OF HYDROLOGIC AND NFS POLLUTANT FLUX IN AN URBANIZING BASIN1

ABSTRACT: Long term effects of precipitation and land use/land cover on basin outflow and nonpoint source (NFS) pollutant flux are presented for up to 24 years for a rapidly developing headwater basin and three adjacent headwater basins on the urban fringe of Washington, D.C. Regression models are developed to describe the annual and seasonal responses of basin outflow and IMPS pollutant flux to precipitation, mean impervious surface (IS), and land use. To quantify annual change in mean IS, a variable called delta IS is created as a temporal indicator of urban soil disturbance. Hydrologic models indicate that total annual surface outflow is significantly associated with precipitation and mean IS (r²= 0.65). Seasonal hydrologic models reveal that basin outflow is positively associated with IS during the summer and fall growing season (June to November). NPS pollutant flux models indicate that total and storm total suspended solids (TSS) flux are significantly associated with precipitation and urban soil disturbance in all seasons. Annual NPS total nitrogen flux is significantly associated with both urban and agricultural soil disturbance (r²= 0.51). Seasonal models of phosphorus flux indicate a significant association of total phosphorus flux with urban soil disturbance during the growing season. Total soluble phosphorus (TSP) flux is significantly associated with IS (r²= 0.34) and urban and agricultural soil disturbance (r²= 0.58). In urbanizing Cub Run basin, annual TSP concentrations are significantly associated with IS and cultivated agriculture (r²= 0.51).