Pah characteristics in ambient air within a steel industrial complex

Ambient air samples at ten sites in an iron and steel industrial complex were collected from June to December for analyzing polycyclic aromatic hydrocarbons (PAHs). Sixteen species of PAH components in air samples were identified. The results indicate that both gaseous phase and particle‐bound PAHs at the top of the cokemaking plants are unusually high. The profiles of particle‐bound PAHs indicate that the predominant species at the top of, the coke oven batteries are those of high molecular weight components. The major components of particle‐bound PAHs at sampling sites near the fenceline, however, include the medium molecular weight components. The PAH profiles of air samples within the industrial complex show a strong similarity to those of cokemaking plant samples. The concentrations and the specific content of benzo(a)pyrene in the iron and steel industrial complex are higher than those values measured in urban area, petrochemical industry park, and open‐air burning area.     

异噻唑啉酮类杀菌剂对黑斑蛙胚胎和蝌蚪的急性毒性

异噻唑啉酮类杀菌剂1,2-苯并异噻唑-3-酮（BIT）和甲基异噻唑啉酮（MIT）虽已在多种行业中广泛使用,但目前有关其毒性尤其对水体中生物毒性的数据还较少。鉴于BIT和 MIT在水体中普遍存在,本文研究了这两种污染物对两栖动物黑斑蛙胚胎和蝌蚪的急性毒性。黑斑蛙胚胎和蝌蚪分别暴露系列浓度的BIT和 MIT,观察化学品对其生长、发育和运动的影响,计算96小时半数致死浓度（96 h-LC₅₀）和96小时半数致畸浓度（96 h-TC₅₀）,确定最小生长抑制浓度（MCIG）。结果发现,BIT对黑斑蛙胚胎的96 h-LC₅₀和96 h-TC₅₀分别为2.99 mg?L^-1和0.60 mg?L^-1,MCIG小于0.40 mg?L^-1,对蝌蚪的96 h-LC₅₀为6.44 mg?L^-1。MIT对黑斑蛙胚胎的96 h-LC₅₀和96 h-TC₅₀分别为5.30 mg?L^-1和2.36 mg?L^-1,MCIG为2.59 mg?L^-1,对蝌蚪的96 h-LC₅₀为7.58 mg?L^-1。根据《化学农药环境安全评价准则报批稿》中两栖动物蝌蚪急性毒性的分级标准,判定BIT和MIT的毒性等级为中等。该毒性数据为异噻唑啉酮类杀菌剂的环境管理提供参考。     

苯并芘和邻苯二甲酸二(2-乙基己基)酯复合暴露对稀有鮈鲫的内分泌干扰效应研究

为评价典型有机污染物共存情况下对长江上游三峡库区特有珍稀鱼类的环境风险,以稀有鮈鲫(Gobiocypris rarus)为对象,研究了多环芳烃和酞酸酯的代表物苯并芘(BaP)和邻苯二甲酸二(2-乙基己基)酯(DEHP)单独及复合暴露而引起的内分泌干扰效应。将成年稀有鮈鲫暴露于不同浓度的BaP(0.1、1μg·L~(-1))、DEHP(10、100μg·L~(-1))和BaP+DEHP((0.1+10)、(1+100)μg·L~(-1))中28 d后,测定了体质系数、性激素含量、下丘脑-垂体-性腺(HPG)轴和肝脏中与生殖相关基因的表达。结果表明:在雌鱼中,单独BaP或DEHP暴露对鱼体性激素含量、基因表达量无显著影响; BaP和DEHP复合暴露时,高浓度组睾酮(T)含量升高但雌二醇(E2)含量下降,fsh、vtg、 cyp17和17β-hsd基因表达量上调,cyp19a则下调,表现出协同毒性。因而雌鱼中性激素水平的改变可能与类固醇合成相关基因表达量的改变有关。而无论在单独暴露或是复合暴露情况下,对雄鱼体内性激素无显著影响。以上检测到的激素或基因表达量的改变主要发生在高剂量的复合暴露组中,而长江上游三峡库区水体中多环芳烃和酞酸酯含量低于暴露的最低浓度,因此推测,库区存在的多环芳烃和酞酸酯同时作用时不会对三峡库区上游水体中的鱼类产生生殖内分泌干扰效应。     

固定化反胶团漆酶及其在修复土壤DDT污染中的应用

采用吸附法将反胶团漆酶吸附在表面改性后的硅藻土上,制备固定化反胶团漆酶.探讨了反胶团漆酶固定化的影响因素及其部分酶学特性,并对其在修复土壤DDT污染中的应用进行了研究.反胶团漆酶固定化的最佳温度是35 ℃,载体硅藻土的改性剂Tween-80的加入量为硅藻土质量的15%.固定化反胶团漆酶的最适作用温度为35 ℃,最适作用pH为3.5~5.0;与游离漆酶相比,固定化反胶团漆酶的热稳定性和酸碱稳定性都显著提高.采用游离漆酶和固定化反胶团漆酶修复DDT污染土壤,游离漆酶处理中DDT总量(DDTs)的降解率为50.53%,而固定化反胶团漆酶处理中DDTs的降解率高达69.17%.固定化反胶团漆酶处理较游离漆酶处理的DDTs降解率提高了近20%.     

Characteristics of atmospheric carbonyls and VOCs in Forest Park in South China

The diurnal variation of atmospheric carbonyls and VOCs in a forest in south China were studied in summer 2004. Twenty kinds of carbonyls and eight kinds of VOCs were identified and quantified. Formaldehyde and acetaldehyde were the two most abundant carbonyls, while the most abundant VOCs were isoprene, followed by o-xylene. Most C₃-C₁₀ carbonyls had higher concentrations from 09:00 to 15:00, and their levels were lower during night-time and often reached the lowest in early morning. Formaldehyde and acetaldehyde, however, showed two high levels in their diurnal patterns partly due to their different sources and sinks. The VOCs had different diurnal patterns compared to most carbonyls. The highest concentrations were observed from 03:00 to 06:00 for 1-butene, from 06:00 to 12:00 for isoprene, and from 12:00 to 15:00 for α-pinene. The highest levels for aromatic hydrocarbons occurred during midnight and the lowest in late afternoon. According to the study, emissions from vegetation and photo-oxidation of gas-phase hydrocarbons were the main sources for some carbonyls and VOCs in this region. Other compounds, such as formaldehyde, acetaldehyde and BTEX, showed anthropogenic sources.     

Approaching the upper boundary of driver-response relationships: identifying factors using a novel framework integrating quantile regression with interpretable machine learning

● A novel framework integrating quantile regression with machine learning is proposed. ● It aims to identify factors driving observations to upper boundary of relationship. ● Increasing N:P and TN concentration help fulfill the effect of TP on CHL. ● Wetter and warmer decrease potential and increase eutrophication control difficulty. ● The framework advances applications of quantile regression and machine learning. The identification of factors that may be forcing ecological observations to approach the upper boundary provides insight into potential mechanisms affecting driver-response relationships, and can help inform ecosystem management, but has rarely been explored. In this study, we propose a novel framework integrating quantile regression with interpretable machine learning. In the first stage of the framework, we estimate the upper boundary of a driver-response relationship using quantile regression. Next, we calculate “potentials” of the response variable depending on the driver, which are defined as vertical distances from the estimated upper boundary of the relationship to observations in the driver-response variable scatter plot. Finally, we identify key factors impacting the potential using a machine learning model. We illustrate the necessary steps to implement the framework using the total phosphorus (TP)-Chlorophyll a (CHL) relationship in lakes across the continental US. We found that the nitrogen to phosphorus ratio (N׃P), annual average precipitation, total nitrogen (TN), and summer average air temperature were key factors impacting the potential of CHL depending on TP. We further revealed important implications of our findings for lake eutrophication management. The important role of N׃P and TN on the potential highlights the co-limitation of phosphorus and nitrogen and indicates the need for dual nutrient criteria. Future wetter and/or warmer climate scenarios can decrease the potential which may reduce the efficacy of lake eutrophication management. The novel framework advances the application of quantile regression to identify factors driving observations to approach the upper boundary of driver-response relationships.     

杭嘉湖蚕桑区主要大气氟污染源及治理现状

对杭嘉湖蚕桑区大气氟主要污染源——砖瓦厂氟的排放状况及各种含氟烟道废气治理装置的治理效果进行了较为深入的调查分析,认为砖瓦厂含氟废气不经烟道排放较为严重。目前砖瓦厂所采用的各种含氟废气治理装置中,旋流板塔装置除氟效率较佳,可使废气氟的排放浓度降至5mg/m~3以下,基本上能消除下风向300m以远的大气氟污染对蚕桑的严重危害。     

流动注射分光光度法测定水中铝的含量

以桑色素作显色剂,采用流动注射分光光度法测定水中铝的含量。在桑色素质量浓度为0．8g／L、聚氧乙烯辛基苯基醚体积分数为1．0％、进样环体积为400μL、检测波长420nm的条件下,采用流动注射分光光度法对水中铝的含量进行测定,本方法的线性范围为2～300μg／L,检出限（信噪比为3）为0．124μg／L,相对标准偏差为2．9％,加标回收率为96．4％～101．8％。     

盐析分相微萃取—高效液相色谱法测定水中含氯除草剂

采用盐析分相微萃取—高效液相色谱法同时测定水中3种含氯除草剂,建立并优化了反相离子对液相色谱条件,考察了萃取剂种类、盐析剂的种类和加入量及试样pH对萃取效果的影响。对氯苯氧乙酸、2,4-二氯苯氧乙酸和2,4-滴丁酯的质量浓度在0.1~100.0mg/L内与色谱峰面积呈良好的线性关系,相关系数不低于0.9992。平均回收率分别为96.29%、79.16%和70.21%,相对标准偏差小于5.3%。该方法操作简便、绿色环保,适合于水中含氯除草剂的测定。     

浅埋衬砌隧道-邻近建筑地震动力相互作用IBEM模拟

采用高精度间接边界元方法(IBEM)考察地震波入射下隧道-邻近建筑物二维地震动力相互作用的规律。结果表明:建筑物与邻近隧道存在着明显的相互作用,整体动力反应规律取决于隧道,建筑物之间的空间位置关系、隧道埋深、入射波的频率和角度等因素。隧道位于建筑物正下方时,刚性衬砌隧道(相对围岩)对上部结构主要表现为隔震效应;隧道位于建筑物两侧时,隧道对建筑顶部位移有明显放大效应,最大可放大约40%。同时隧道应力也明显增大,最大可放大约43%。因此实际中需根据隧道-建筑物的空间位置关系,适当调整衬砌隧道与沿线建筑物的抗震设防水平。