济南东部岩溶水有机污染健康风险评价

近年来,济南岩溶水有机污染越来越突出,为了探究济南岩溶水有机污染对居民健康造成的影响,保障饮用水安全,该文在系统分析研究区水文地质条件的基础上,采用USEPA推荐的健康风险评价模型,根据实际采样测试数据,分析评价了济南东部3处岩溶水井点的有机污染对其范围内暴露人群造成的健康风险。结果表明:检出的主要有机污染物为三氯甲烷、四氯化碳、三氯乙烯、四氯乙烯。3个水井的有机污染非致癌风险未超过限值1,在可接受的范围内,四氯化碳的非致癌风险所占比例最大,为89.85%; 3个采样点有机污染致癌风险,超出了其可接受水平的最小限制10-6,但均未超出可接受的致癌风险的最大限制10-4,风险指数均在10-6~5.0×10-5之间,应该引起关注,产生致癌风险的主要污染物为三氯乙烯。有机污染非致癌风险和致癌风险的主要暴露途径为呼吸吸入,其次是饮水吸收,皮肤接触暴露途径风险值最小。     

Pollution trend in the tumen river and its influence on regional development

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机载激光雷达对青岛及周边海域的气溶胶探测

工作波长为532 nm的机载大气环境探测激光雷达AEDAL（Atmospheric Environment Detecting Airborne Lidar）装载在CMS_3807飞机上,于2005年11月7～11日期间在青岛地区及周边海域上空进行了飞行探测.此次实验的目的有两个：验证我国用于大气环境探测的激光雷达技术已经具备从地基向空基乃至天基发展的条件;获得青岛地区及周边海域边界层结构及大气气溶胶时空分布变化的特点.激光雷达的高时空分辨率为获取飞行路径上的边界层结构及气溶胶时空分布提供了可能.为了研究下垫面对边界层及气溶胶时空分布的影响,预定的飞行路径上包含了丰富的地形变化,有城市、丘陵、海区等.通过给出11月8日及11日的探测结果,不仅得到了不同地区边界层结构及气溶胶的时空分布特点,还可以看到冷锋、地形、地面气象场等因素对它们的影响.     

土壤剖面的磁学特征及其对交通污染的指示意义——以北京首都机场高速公路为例

对北京首都机场高速公路旁采集的土壤柱状T01剖面的磁学参数和金属元素分析,探讨了研究区内现代交通导致的土壤磁学性质的变化及其对环境污染的响应.结果表明,磁参数(χ,ARM和SIRM)与重金属含量呈同步垂向变化趋势.来源于交通运输排放的污染物是土壤剖面上部(0～8 cm)磁性和金属含量增强的主要原因,8cm以下,土壤基本未受到污染,磁性矿物和重金属含量较低,磁性颗粒变化稳定,基本代表了该地区土壤的自然背景.尽管土壤岩石磁学分析表明剖面上下部受污染和未受污染样品的磁载体均是粒度较粗的多畴磁铁矿,但是结合磁参数比值曲线,说明底部样品的磁颗粒的粒度较顶部偏细.磁性矿物的含量变化没有影响磁颗粒的粒度特征.指标聚类等相关分析表明,土壤磁参数(χ,ARM和SIRM)与重金属元素(Pb,Zn和Cu)含量显著相关;结合模糊聚类分析,磁参数可用于追踪、识别交通污染物质在土壤剖面中的富集、迁移状态,揭示不同深度土壤的污染程度.     

灌河口潮滩重金属累积特征及污染评价

河口地区潮滩是重金属重要的"汇"。测定了灌河口(燕尾港)潮滩高中低滩的33个表面样粒度、重金属数据,研究了4根柱状样的重金属和粒度特征,利用地累积指数法、潜在生态危害指数法及富集指数法等评价指标,对灌河口重金属的污染状况进行了评价,并对其结果进行了相互比较和印证。分析结果显示,灌河口潮滩重金属的分布主要受水动力影响,特别是受粘土分布的控制。Cd与粒径Ф值相关性不显著,相关系数只有0.099,而与粘土含量呈明显正相关关系,Hg的变化趋势恰恰相反,其含量随着距离河口距离的加大反而有增加的趋势;其他元素的变化趋势不明显。重金属元素Zn、Pb、Cu、Hg含量变化走势基本相同,用Li作归一化标准元素归一化后,所有重金属元素的归一化值变化波动范围均比重金属含量值明显收窄,波峰和波谷有后延的趋势。灌河口滩涂总体重金属环境尚可,但存在一定程度的Hg、Cu污染富集。柱状样Hg、Cu的地累积污染指数总体上均呈现随深度增加而降低的趋势。     

河北沧州市臭氧质量浓度与气象因子的关系分析

利用2014—2020年河北沧州逐小时气象与环境监测数据,对沧州市臭氧(O₃)污染加剧现状及其与气象因子的关系进行分析。结果表明：(1)沧州地区O₃污染呈加剧态势,且O₃已上升为该地区首要污染物;O₃污染集中出现在5—9月,O₃质量浓度日变化呈单峰单谷型,最大浓度出现在16:00前后;(2)5—9月O₃日最大8 h平均质量浓度(简称“O₃-8 h”)所处时段,平均气温、最高气温、相对湿度、总辐射辐照度与O₃质量浓度的相关性较好,本站气压、水汽压和平均风速与O₃质量浓度的相关性未通过显著性检验;(3)5—9月O₃-8 h时段,当同时满足8 h平均气温高于30.9℃、最高气温高于32.7℃、平均相对湿度低于42.1%、平均总辐射辐照度高于505.8 W·m^-2时,出现O₃污染的概率达84%;(4)气象因子不是O₃     

Impacts of Aerosol-Radiation Interactions on the Wintertime Particulate Pollution under Different Synoptic Patterns in the Guanzhong Basin,China

The effects of aerosol–radiation interactions(ARI) are not only important for regional and global climate, but they can also drive particulate matter(PM) pollution. In this study, the ARI contribution to the near-surface fine PM(PM2.5)concentrations in the Guanzhong Basin(GZB) is evaluated under four unfavorable synoptic patterns, including "northlow", "transition", "southeast-trough", and "inland-high", based on WRF-Chem model simulations of a persistent heavy PM pollution episode in January 2019. Simulations show that ARI consistently decreases both solar radiation reaching down to the surface(SWDOWN) and surface temperature(TSFC), which then reduces wind speed, induces sinking motion,and influences cloud formation in the GZB. However, large differences under the four synoptic patterns still exist. The average reductions of SWDOWN and daytime TSFC in the GZB range from 15.2% and 1.04°C in the case of the"transition" pattern to 26.7% and 1.69°C in the case of the "north-low" pattern, respectively. Furthermore, ARI suppresses the development of the planetary boundary layer(PBL), with the decrease of PBL height(PBLH) varying from 18.7% in the case of the "transition" pattern to 32.0% in the case of the "north-low" pattern. The increase of daytime near-surface PM2.5 in the GZB due to ARI is 12.0%, 8.1%, 9.5%, and 9.7% under the four synoptic patterns, respectively. Ensemble analyses also reveal that when near-surface PM2.5 concentrations are low, ARI tends to lower PM2.5 concentrations with decreased PBLH, which is caused by enhanced divergence or a transition from divergence to convergence in an area. ARI contributes 15%–25% toward the near-surface PM2.5 concentrations during the severe PM pollution period under the four synoptic patterns.     

Better air for better health: Forging synergies in policies for energy access,climate change and air pollution

Air pollution and its related health impacts are a global concern. This paper addresses how current policies on air pollution, climate change and access to clean cooking fuels can effectively reduce both outdoor and household air pollution and improve human health. A state of the art modeling framework is used that combines an integrated assessment model and an atmospheric model to estimate the spatial extent and distribution of outdoor air pollution exposures. Estimates of household energy access and use are modeled by accounting for heterogeneous household energy choices and affordability constraints for rural and urban populations spanning the entire income distribution. Results are presented for 2030 for a set of policy scenarios on air pollution, climate change and energy access and include spatially explicit emissions of air pollutants; ambient concentrations of PM2.5; and health impacts in terms of disability adjusted life years (DALYs) from both ambient and household air pollution. The results stress the importance of enforcing current worldwide air quality legislation in addressing the impacts of outdoor air pollution. A combination of stringent policies on outdoor air pollution, climate change and access to clean cooking fuels is found to be effective in achieving reductions in average ambient PM2.5 exposures to below World Health Organization recommended levels for a majority of the world's population and results in a significant decline in the global burden of disease from both outdoor and household air pollution.     

Effect of land‐use changes on nonpoint source pollution in the Xizhi River watershed,Guangdong, China

The Annualized Agricultural Non‐point Source (AnnAGNPS) pollution model has been widely used to assess and predict runoff, soil erosion, sediment and nutrient loading with a geographic information system. This article presents a case study of the effect of land‐use changes on nonpoint source (NPS) pollution using the AnnAGNPS model in the Xizhi River watershed, eastern Pearl River Delta of Guangdong province, China. The land‐use changes in the Xizhi River watershed between 1998 and 2003 were examined using the multitemporal remote sensing data. The runoff, soil erosion, sediment transport and nutrient loading 1998 and 2003 were assessed using AnnAGNPS. The effects of land‐use changes on NPS were studied by comparing the simulation results of each year. Our results showed that (i) the NPS loadings increased when forest and grass land converted into paddy, orchard and farmland land, and population size and gross domestic product size as well as the usage amounts of fertilizer and pesticide in the entire watershed were firmly correlated with the NPS loadings; (ii) the land‐use change during fast urbanization in particular when other land types were converted into the development land and buildup land led to increasing of NPS pollution; and (iii) urban land expansion showed more important effects on total organic carbon (TOC) loading compared with nitrogen and phosphorus loadings. Copyright © 2012 John Wiley & Sons, Ltd.     

Application of a Bayesian model to infer the contribution of coalbed natural gas produced water to the Powder River,Wyoming and Montana

The Powder River Basin (PRB) of Wyoming and Montana contains significant coal and coal bed natural gas (CBNG) resources. CBNG extraction requires the production of large volumes of water, much of which is discharged into existing drainages. Compared to surface waters, the CBNG produced water is high in sodium relative to calcium and magnesium, elevating the sodium adsorption ratio (SAR). To mitigate the possible impact this produced water may have on the quality of surface water used for irrigation, the State of Montana passed water anti‐degradation legislation, which could affect CBNG production in Wyoming. In this study, we sought to determine the proportion of CBNG produced water discharged to tributaries that reaches the Powder River by implementing a four end‐member mixing model within a Bayesian statistical framework. The model accounts for the ⁸⁷Sr/⁸⁶Sr, δ¹³C_DIC, [Sr] and [DIC] of CBNG produced water and surface water interacting with the three primary lithologies exposed in the PRB. The model estimates the relative contribution of the end members to the river water, while incorporating uncertainty associated with measurement and process error. Model results confirm that both of the tributaries associated with high CBNG activity are mostly composed of CBNG produced water (70–100%). The model indicates that up to 50% of the Powder River is composed of CBNG produced water downstream from the CBNG tributaries, decreasing with distance by dilution from non‐CBNG impacted tributaries from the point sources to ~10–20% at the Montana border. This amount of CBNG produced water does not significantly affect the SAR or electrical conductivity of the Powder River in Montana. Copyright © 2013 John Wiley & Sons, Ltd.