污染地块土壤多氯联苯风险筛选值研究

污染地块土壤多氯联苯（PCBs）污染主要来自含PCBs电力设备封存点的泄漏及非故意产生源,建立土壤PCBs筛选标准是开展PCBs污染地块调查、评估和修复的基础.本研究通过文献分析统计了典型PCBs单体的占比,并基于人体健康风险评估模型推导了污染地块土壤PCBs风险筛选值.结果表明,不同商用PCBs混合物中共平面PCBs总量（∑Co-PCBs）占比为0.01%~16.10%,难以代表PCBs的总体风险水平.研究建立了PCBs总量、指示性PCBs总量（∑Id-PCBs）及∑Co-PCBs等3个指标共同作为土壤PCBs筛选值体系,敏感用地和非敏感用地情景下,PCBs总量、∑Id-PCBs、∑Co-PCBs分别为2.10、0.24、0.03 mg·kg^-1和6.20、0.71、0.09 mg·kg^-1.通过6个含PCBs电容器地下封存点485个污染土壤样品的分析,进一步证明了仅控制∑Co-PCBs将低估PCBs污染风险,采用本研究提出的3个指标进行筛选能够更有效地识别和评估PCBs污染地块的风险.     

Evaluation of model simulated atmospheric constituents with observations in the factor projected space: CMAQ simulations of SEARCH measurements

Two-year CMAQ simulations of gases and aerosols over the southeast are evaluated using SEARCH observations for 2000 and 2001, both by direct comparison to observations and by projecting both datasets to the factor space using the Positive Matrix Factorization (PMF) model. Model performance for secondary species (sulfate, ozone) is generally better than for primary species (EC, CO). Nitrate concentrations are overestimated, mainly due to wintertime over-partitioning to the particulate phase. Projecting both observed and simulated constituents to the factor space using PMF, four common factors are resolved for each surface site (two urban sites and two rural sites). The resolved factors include (1) secondary sulfate, (2) secondary nitrate, (3) a fresh motor vehicle factor characterized by EC, OC, CO, NO and NO_y, and (4) a mixed factor characterized by EC, OC, and CO. Performance for the sulfate and nitrate factors follow that of the corresponding driving species, while the motor vehicle and “mixed” factors exhibit performance corresponding to that of primary species. Comparing observations and CMAQ simulations in the projected space allow for an evaluation of the co-variability between species, an indicator of source impacts. The fact that similar factors were resolved by PMF from both the observations and the CMAQ simulations suggests that temporal processes related to emissions from specific source categories, as well as the subsequent dispersion and reactivity, are well captured by the CMAQ model. The ability to identify additional factors can be enhanced by adding tracer species in CMAQ simulations.     

高负荷条件下好氧颗粒污泥同步脱氮除碳特性及微生物群落结构分析

为研究高负荷条件下好氧颗粒污泥的形成过程、同步脱氮除碳效果和微生物群落结构特点,构建了一个序批式反应器(sequencing batch reactor,SBR)。结果表明,C/N=40进水条件下能够完成颗粒化,成熟后的好氧颗粒污泥呈表面光滑结构紧实的椭球体。随着颗粒粒径增大,其比好氧速率提高、含水率下降、沉降性能变好、生物量增加。颗粒形成过程产生的胞外聚合物(extracellular polymeric substances,EPS)先增加后受水质冲击减少,之后又明显提高,整个过程中多糖与蛋白质之比(PS/PN)持续下降,EPS中的蛋白质对颗粒的形成影响较大。SBR中的好氧颗粒污泥能够同时高效去除进水中的COD、N H_4~+-N和TN,去除率分别为94%、96%和93%,反应器的反硝化性能良好。C/N=40时,采用MiSeq高通量测序方法对成熟好氧颗粒污泥中的群落结构进行研究,发现存在促进颗粒化的优势菌门(包括Saccharibacteria、Proteobacteria、Bacteroidetes、Actinobacteria、Firmicutes和Chloroflexi)。同时,在颗粒污泥中,异养硝化、好氧/缺氧反硝化菌属丰度较高,表明异养硝化-好氧/缺氧反硝化菌属可能存在于好氧颗粒污泥中。     

Assessment of secondary organic carbon in the Southeastern United States: a review

Organic carbon (OC) is one of the major components of ambient PM2.5 (particulate matter [PM] < or = 2.5 microm in aerodynamic diameter) and a significant portion of OC is from secondary organic aerosol (SOA) formation in the southeastern United States. Various approaches (based on measurement and modeling results) are applied to estimate secondary organic carbon (SOC) and its origins in the region. SOC estimates by various methods are consistent as to clear seasonal variation (i.e., relatively higher SOC in summer) and little spatial variability (i.e., a regional characteristic of SOC). However, there are differences as to the origins of SOC. SOA organic tracer and emission-based modeling studies indicate that the biogenic origin of SOC is dominant in the Southeast, showing that biogenic-origin SOC accounts for 90% of SOC in summer and more than 70% even in other seasons. However, results from other studies suggest that the anthropogenic origin of SOC is dominant, significant amounts of anthropogenic-origin SOC, or important roles of anthropogenic pollutants for SOA formation, especially at urban areas, as strong correlations between water-soluble OC (an indicator of SOC) and anthropogenic pollutants, considerable amounts of fossil water-soluble OC, and significant contributions of fossil SOC (37-52% in summer months, 70-73% in winter months) are observed. Therefore, more studies are needed to reconcile the differences in the source attribution of SOC measurements.     

Impacts of climatic and atmospheric changes on carbon dynamics in the Great Smoky Mountains National Park

We used the Dynamic Land Ecosystem Model (DLEM) to estimate carbon (C) storage and to analyze the impacts of environmental changes on C dynamics from 1971 to 2001 in Great Smoky Mountain National Park (GRSM). Our simulation results indicate that forests in GRSM have a C density as high as 15.9kgm(-2), about twice the regional average. Total carbon storage in GRSM in 2001 was 62.2Tg (T=10(12)), 54% of which was in vegetation, the rest in the soil detritus pool. Higher precipitation and lower temperatures in the higher elevation forests result in larger total C pool sizes than in forests at lower elevations. During the study period, the CO(2) fertilization effect dominated ozone and climatic stresses (temperature and precipitation), and the combination of these multiple factors resulted in net accumulation of 0.9Tg C in this ecosystem.     

煤矸石对盐碱土壤理化性质的改良效果

盐碱土壤物理结构差,植物成活率低,煤矸石具有改善盐碱土壤物理结构和化学性质的潜力,将煤矸石应用于盐碱地,能够达到煤矸石废弃资源循环利用和盐碱地改良的双重效果。为阐明煤矸石对盐碱土壤的改良效果和对土壤物理化学性质的影响,将不同用量(0、10%、20%、30%、40%、50%)和不同粒径(小粒径<1 mm、中粒径1—5 mm、大粒径>5 mm以及小中大等比例混合粒径)煤矸石施用于盐碱土壤,通过紫花苜蓿(Medicago sativa)盆栽试验,测定土壤的物理化学性质。结果表明,随着煤矸石用量的增加,紫花苜蓿株高和生物量呈现先增后减的趋势,20%用量煤矸石处理的株高和生物量分别比对照平均提高了21.45%和25.89%;团聚体平均重量直径(MWD)呈现先减后增再减的趋势;土壤饱和含水量、田间持水量呈现先稳定后降低的趋势;土壤EC值、pH值、碱解氮含量呈现持续降低的趋势,其中20%用量煤矸石处理的土壤pH比对照平均下降了0.51个pH单位;土壤总碳、总氮、总磷、有效磷含量呈现持续上升的趋势。从粒径角度考虑,对土壤EC、pH降幅以及团聚体含量、总养分、速效养分含量,小粒径>混合粒径≈中粒径>大粒径。土壤综合指数(SQI)随煤矸石用量增加先升后降;各粒径煤矸石处理下的SQI峰值大小表现为小粒径>混合粒径>中粒径>大粒径;20%用量下小粒径和混合粒径煤矸石处理的土壤SQI最高,分别比对照显著提高了68.27%和57.13%。综上,煤矸石可以改良盐碱土壤质量,促进植物生长,20%用量的小粒径和混合粒径煤矸石效果最好。     

我国工业园区环境管理问题及管控方法的研究进展

我国工业园区的发展道路上充满了对环境破坏和资源滥用的争议,工业背景下的污染事件层出不穷,如何做到经济与环保统筹兼顾迫在眉睫。本文整理了我国工业园环境管理主要存在的几大问题——规划布局问题、环境管理问题、环境污染问题、预警监测问题及公众环保意识问题并从模式创新和科技支撑两个角度介绍了目前主流的工业园环境管控对策。最后在此基础上对未来园区的发展方向进行展望,以期为后续有关工业园环境风险管控的研究提供参考。     

公路隧道火灾环境人群逃生行为分析及多项Logit建模*

为提高隧道疏散效率，研究环境、社会和个人因素对逃生行为的影响。基于虚拟现实技术从心理学和行为学角度对公路隧道逃生行为及影响因素进行研究，利用Unity 3D建立虚拟场景下的公路隧道场景，通过步行模拟器和ErgoLAB无线生理模块采集步速和心电；应用核密度曲线研究平均心率的变化特性；采用Hermite插值法描述步速的变化趋势。在试验结果的基础上，构建基于多项Logit的逃生行为模型。结果表明:平静状态下，男性的平均心率个体差异性较大，运动状态下，女性的平均心率波动较大；测试者在隧道内遇到障碍物会降低步速，在逐渐深入并穿越人群的过程中，呈现步速加快的特征；逃生行为的MNL模型R2和准确度分别达到87.41%和92%；隧道内障碍物越少，前方人群越多，且能见度越差，人越容易处于恐慌状态，更倾向于跟随他人。研究结果可为火灾环境下的公路隧道人群疏散模型的建立提供参考，对避免人员伤亡和减少财产损失具有实际意义。