渤海典型海域表层沉积物正构烷烃特征比较

对渤海典型海域表层沉积物正构烷烃特征进行比较研究.分别采集葫芦岛市近岸海域(1#)、东营市近岸海域(2#)、营口市近岸海域(3#)9个站点的表层沉积物样品,经索氏提取、柱净化后进行GC-MS分析.结果表明,各站位都表现为双峰型,显示了陆源与海源双重贡献特征,但主导峰各不相同;正构烷烃含量(∑n-alk)均值分别为5.43μg.g-1、2.27μg.g-1、4.30μg.g-1;三海域碳优势指数CPI、奇偶优势指数OEP、姥鲛烷和植烷比值Pr/Ph等特征比值基本相同,指示混合来源及中性偏氧化的沉积环境;C31/C19均值分别为11.19、4.51、6.73,短/长链比值L/H均值分别为0.50、1.48、1.31,类脂物比值TAR均值分别为3.61、1.03、1.19,综合显示葫芦岛市近岸海域正构烷烃来源主要为陆源高等植物,而营口及东营近岸海域沉积物正构烷烃更多来源于内生浮游生物源及石油源,三海域沉积物受人类污染影响程度从高到低分别为2#海域(东营)>3#海域(营口)>1#海域(葫芦岛市),且东营近岸海域沉积物受石油污染特征明显.这些特征都与3个海域周边城市发展与污染输入特征有直接的关系.     

Evaluation of the relationship of picoplankton and viruses to environmental variables in a lagoon system (Çakalburnu Lagoon,Turkey)

Lagoons are defined as wetlands separated from the sea coasts on which they are located and sit between continental and marine aquatic ecosystems. Çakalburnu Lagoon is a coastal wetland on the southern side of the Bay of ?zmir. Microorganisms, which are quite sensitive to changes occurring in environmental factors, are commonly used to determine the impact of environmental effects on the functioning of the ecosystem. In this study, variations in the abundance and biomass of picoplankton (Synechococcus spp. and bacteria) and the abundance of viruses, which identify the ecological productivity of the food chain, were seasonally examined by epifluorescence microscopy. Moreover, the microbial abundance and biomass relation over time between the physical and chemical parameters was evaluated. According to our results, the maximum abundance of Synechococcus spp. and viruses was 6.7?×?10⁴ cell/ml and 9.9?×?10⁸?cell/ml in the summer, respectively. Otherwise, the highest level of bacteria was measured at 3.6?×?10⁷ cell/ml in the spring. Based on the principal component analysis and Pearson correlation analysis results, we concluded that total suspended solids, Chl-a, particulate organic carbon and particulate organic nitrogen were the major parameters influencing the observed variability of the lagoon system. Overall, to protect and improve the ecological and microbiological quality of aquatic systems such as lagoons, the necessary monitoring and measurement studies should be conducted in these sensitive areas.     

北京不同污染天气PM_(2.5)和PM_(10)染毒对大鼠生理病理参数的影响

为探讨北京不同污染天气大气可吸入颗粒物PM_(10)和细颗粒物PM_(2.5)污染对雄性大鼠血常规、氧化损伤、炎症反应和肺组织的影响,将64只雄性8周龄Wistar大鼠随机分为8组,分别为2个对照组(空白组和生理盐水组)和6个染毒组(清洁、雾霾及沙尘暴3种不同天气的PM_(10)染毒组和PM_(2.5)染毒组),每组8只。用2015年3月—5月在北京南海子麋鹿苑采集的清洁、雾霾和沙尘暴3种不同天气的PM_(10)和PM_(2.5)制备悬液,分别采用气管滴入PM_(10)和PM_(2.5)悬液作为染毒组,空白对照组不做任何处理,生理盐水对照组采用气管滴注生理盐水。急性染毒24 h后处死大鼠。采集血液测定18个血常规指标,分析肺泡灌洗液(BALF)中转化生长因子-β1(TGF-β1)、乳酸脱氢酶(LDH)、总抗氧化能力(T-AOC)、白介素-6(IL-6)及肿瘤坏死因子-α(TNF-α)的含量,并在高倍显微镜下观察肺组织和气管病理形态变化。同时,对PM_(10)和PM_(2.5)中的水溶性离子、有机碳/元素碳、16种多环芳烃和7种重金属等元素进行了测定,并分析了各组分与大鼠生理病理指标的相关性。结果表明:清洁、沙尘暴天气的PM_(10)和雾霾天气的PM_(2.5)急性染毒导致大鼠白细胞系参数即免疫力显著下降。污染天气颗粒物染毒后大鼠BALF氧化炎症因子的改变表明呼吸系统受到感染:沙尘暴和清洁天的PM_(10)染毒均显著提高了TGF-β1,雾霾PM_(10)染毒后IL-6和LDH有一定程度升高。3种天气颗粒物染毒对肺和气管造成的组织病理伤害各有特点,但PM_(2.5)伤害程度普遍大于PM_(10)。染毒颗粒物粒径大小,其化学成分类别、浓度是造成大鼠血常规指标变化、氧化炎症反应和组织学病变的可能原因。     

BDE-47对2种海洋微藻光合特性的影响

研究了不同浓度的2,2′,4,4′-四溴联苯醚(BDE-47)对2种海洋微藻的光合特性的影响. 结果表明, 在试验所设定的浓度范围内 (0.1~2.5μg/L),海水小球藻和赤潮异弯藻的PSII最大光能转化效率(Fv/Fm)、光化学淬灭系数(qP)未受到显著抑制,表明2种微藻PSII反应中心在试验过程中未受到损伤.当BDE-47浓度为2.5μg/L时,海水小球藻的PSII潜在活性(Fv/Fo)、PSII实际光能转化效率(φPSII)和光合电子传递效率(ETR)在96h受到显著抑制,而赤潮异湾藻的3个参数在暴露期间均未受到抑制,表明赤潮异湾藻对BDE-47的耐受性强于海水小球藻.各叶绿素荧光参数中, Fv/Fo、φPSII、ETR更适合作为指示海洋环境中BDE-47污染水平的生物标志物.     

河北省太行山区土地资源生态安全预警与调控研究

采用模糊优选模型和情景分析模型,选取河北省太行山区为研究区域,对其进行土地资源生态安全预警分析,并定量测度了各敏感因子对生态安全警情的影响程度。结果表明,研究区土地资源生态安全警情包括中警、轻警、预警3个等级,以轻警为主,所占面积比例达50%以上。从时间尺度上,整体生态安全警情呈缓慢好转态势。从空间尺度上,生态安全预警格局中段警情有所好转,南北两端警情趋于严重,尤其以南部最差。15°坡耕地面积、人口密度、污染负荷指数、人均草地面积、人均林地面积、化肥农药负荷、景观破碎化指数、Shannon多样性指数、人均GDP和三废综合处理率10个敏感因子(权重0.03)是影响研究区生态安全的重要因子,对总系统生态安全的综合贡献必须引起足够重视;各子系统对总系统生态安全的贡献率大小依次为状态子系统压力子系统响应子系统,因此需有针对性地对各个子系统及总系统进行调控。     

生物炭负载氧化石墨烯对离子型稀土矿区土壤中重金属的阻控效应

以脐橙皮渣和天然石墨为原料,采用改进Hummer-共热解法制备了生物炭负载氧化石墨烯(BGO)材料,利用土壤钝化实验考察了 BGO复合材料对稀土矿区土壤重金属形态的影响,土柱淋溶实验探讨了淋滤液重金属含量变化特征以及土壤重金属垂向迁移规律,确定了淋溶条件下重金属的累积释放模型.结果表明,添加BGO复合材料提高了土壤pH...     

污泥厌氧消化技术的研究与进展

厌氧消化是目前国际上应用最为广泛的污泥稳定化和资源化的方法,随着全球性的能源危机以及各国可持续发展和环保法规的相继出台,该技术将有更加广阔的发展前景。阐述了厌氧消化的基本原理和应用情况,讨论了近年国外针对厌氧消化预处理技术和不同运行条件对厌氧消化反应效果的影响以及不同污泥处理工艺产能效果等方面研究成果及最新进展。     

淮南煤矿区地表水和地下水水化学特征及控制因素

为厘清淮南矿区地表水和地下水水化学特征和控制因素,采集115组地下水和30组地表水样品,基于数理统计、 Piper三线图、 Gibbs图、矿物稳定场图和离子比例系数等方法,分析了淮南煤矿区地表水和地下水的水文地球化学特征,研究了其水化学特征演变规律.结果表明,淮南煤矿区地下水和地表水呈弱碱性,地表水和地下水中优势阴阳离子为HCO^-₃、 Ca⁺和Na⁺.HCO₃-Ca型和HCO₃-Ca·Na·Mg型为地表水和地下水的主要水化学类型.地下水和地表水的水化学特征主要受岩石风化作用控制,阳离子交替吸附和蒸发对其有一定的促进作用.水岩作用以硅酸盐和碳酸盐矿物的溶解为主,碳酸盐岩的溶解制约Ca²⁺、 Mg²⁺和HCO^-₃等离子的变化.地表水和地下水中Cl^-、 SO₄^2-、 NO^-₃     

汽车制动系统的匹配设计

通过对汽车制动系统的原理及结构性能的探讨,进一步掌握整车新产品开发设计中制动系统的匹配计算.     

Integrating soil carbon cycling with that of nitrogen and phosphorus in the watershed model SWAT: Theory and model testing

In this paper we describe and test a sub-model that integrates the cycling of carbon (C), nitrogen (N) and phosphorus (P) in the Soil Water Assessment Tool (SWAT) watershed model. The core of the sub-model is a multi-layer, one-pool soil organic carbon (S_C) algorithm, in which the decomposition rate of S_C and input rate to S_C (through decomposition and humification of residues) depend on the current size of S_C. The organic N and P fluxes are coupled to that of C and depend on the available mineral N and P, and the C:N and N:P ratios of the decomposing pools. Tillage explicitly affects the soil organic matter turnover rate through tool-specific coefficients. Unlike most models, the turnover of soil organic matter does not follow first order kinetics. Each soil layer has a specific maximum capacity to accumulate C or C saturation (S_x) that depends on texture and controls the turnover rate. It is shown in an analytical solution that S_x is a parameter with major influence in the model C dynamics. Testing with a 65-yr data set from the dryland wheat growing region in Oregon shows that the model adequately simulates the S_C dynamics in the topsoil (top 0.3 m) for three different treatments. Three key model parameters, the optimal decomposition and humification rates and a factor controlling the effect of soil moisture and temperature on the decomposition rate, showed low uncertainty as determined by generalized likelihood uncertainty estimation. Nonetheless, the parameter set that provided accurate simulations in the topsoil tended to overestimate S_C in the subsoil, suggesting that a mechanism that expresses at depth might not be represented in the current sub-model structure. The explicit integration of C, N, and P fluxes allows for a more cohesive simulation of nutrient cycling in the SWAT model. The sub-model has to be tested in forestland and rangeland in addition to agricultural land, and in diverse soils with extreme properties such high or low pH, an organic horizon, or volcanic soils.