锑矿周边稻田土壤垂直剖面锑砷形态与细菌群落结构分布及相互关系

为了解稻田土壤微生物对锑(Sb)和砷(As)污染的长期适应机制,本文以贵州省独山半坡锑矿和某锑矿冶炼厂周边稻田土壤为研究对象.采用野外布点和室内分析的方法,利用Illumina高通量测序技术对稻田垂直剖面土壤细菌16S rRNA V3～V4可变区进行测序,分析了土壤微生物的α多样性、物种丰度差异和组成情况,探讨了不同形态Sb和As在tc1(水耕熟化层)、tc2(渗育层)、tc3(犁底层)和tc4(水耕淀积层)的地球化学行为及其对细菌群落结构的影响.结果表明,研究区Sb和As的来源不同,Sb主要来源于大气沉降和人工投放,As则来源于成土母岩.变形菌门(Proteobacteria)和绿弯菌门(Chloroflexi)为各土层的主要优势菌门,具体表现为变形菌门(Proteobacteria)是tc1和tc2的优势菌门,绿弯菌门(Chloroflexi)是tc3和tc4的优势菌门.土壤剖面各土层多样性指数均在tc1达到最大值,在tc3达到最小值且差异不显著.相对重要性分析表明,总As、As(V)、TS和Fe(II)为影响多样性指数的主要因子.LEfSe分析表明,各土层差异指示种在不同分类水平上各不相同且tc1的数量高于tc2、tc3和tc4.如在门水平,tc1的差异指示种为疣微菌门(Verrucomicrobia),tc3为热袍菌门(Thermotogae),tc4为硝化螺旋菌门(Nitrospirae);在纲水平,tc1为α-变形菌纲(α-proteobacteria),tc2为β-变形菌纲(β-proteobacteria),tc3为热袍菌纲(Thermotogae),tc4为硝化螺旋菌纲(Nitrospirae).RDA分析和相对重要性分析表明,总As、As(III)、Sb(V)、总Sb和pH等对细菌门分类水平具有重要影响.共生网络分析进一步表明,Sb(III)和As(V)虽然对群落结构影响相对较小,但与特征性微生物却存在显著相关性,如Sb(III)与Defluviicoccus属显著相关,而As(V)对β-变形菌纲影响较为显著.     

贵州红枫湖水体溶解有机质的剖面特征和季节变化

溶解有机氮(dissolved organic nitrogen,DON)与溶解有机碳(dissolved organic carbon,DOC)相结合在湖泊水体溶解有机质(dissolved organic matter,DOM)的研究中少有报道.本研究对贵州喀斯特地区高原性湖泊———红枫湖水体DOC和DON的含量进行了近2a的测定,研究了DOM的剖面特征和季节变化,并探讨了DOM垂向分布和季节变化的影响因素.结果表明,红枫湖DOC的浓度范围为1.60～3.08 mg·L^-1,DON的浓度范围为0.10～0.37 mg·L^-1.在湖水混合期表层和底层的DOC和DON的浓度基本一致,在湖水分层期DOC和DON浓度表现出从表层往底层减小的趋势.表层水体(0～2m或3m)DOC的浓度在春末夏初或夏季达到最大,DON的浓度在春末夏初稍高于其它月份.结合叶绿素和降雨的数据分析认为,藻类活动和陆源输入直接导致了表层水体DOM的季节变化模式.DOM的C/N在一般情况下向下增大,但在夏季南湖的垂向水柱上,DOC和DON的浓度在12m以下增大,C/N从12m的18.1下降为14m的14.9,并向下持续减小,这很有可能是颗粒态有机质发生降解释放出C/N较低的DOM,成为水体内DOM的一个内源.     

北京地区一次大气环境持续严重污染过程中SO2的垂直分布分析

在2004-09-27～2004-10-12期间,以325m气象与环境观测塔为平台,使用43CTL型高精度脉冲荧光SO₂分析仪,分别布置在观测塔8m、47m、120m和280m 4层观测平台,对大气中的SO₂气体浓度、PM₁₀和PM_2.5粒子质量浓度及同步气象因素进行了垂直梯度、连续观测.结合气象数据分析了观测期间大气中SO₂气体浓度的垂直梯度分布及变化形势,进行了SO₂浓度与混合层高度变化、海平面气压变化,风速、风向变化等要素的相关分析,观测到在实验期间大气边界层中SO₂浓度由上向下递减分布的现象.由于地形与污染源分布的影响,北风最有利于污染扩散等状况.观测期间捕捉到一次主要由气象因素造成的大气环境严重持续污染及污染清除的全过程.     

Grazing as a measure against grass encroachment in Dutch dry dune grassland: effects on vegetation and soil

A grazing experiment was started in 1984 and 1989 respectively, in two parts of a dune grassland in the nature reserve ‘Zwanenwater’, North Holland; a third part with similar geology and topography was used as a control area and not grazed. An evaluation of the effects of grazing on vegetation patterns, species composition, vegetation structure and humus form was made with the help of vegetation maps from 1986 and 1992 as well as field surveys. Dense tall-grass communities dominated byAmmophila arenaria increased over the period 1986–1992 in the grazed areas, and especially in the non-grazed area (increase in area to 20%, 22% and 50%, respectively). Open communities decreased in the grazed areas, but are still prevalent, while in the ungrazed area they virtually disappeared, with the result that the present percentage areas are 53%, 38% and 17%. Field survey data were classified by TWINSPAN producing four vegetation types. These occur more or less equally in grazed and ungrazed areas, albeit with different percentage areas: (1) open vegetation dominated byCorynephorus canescens; (2) open vegetation characteized, byKoeleria macrantha; (3) heathland dominated byEmpetrum nigrum; and (4) tall-grass communities dominated byAmmophila arenaria. Within a vegetation type, species composition was only marginally affected by grazing regime. Within the open communities the number of species, vegetation height, vegetation cover and soil organic horizons were not affected by grazing. In the tall-grass communities the number of species was significantly larger and the height of the vegetation significantly lower in the area grazed since 1984. In the heathland community the number of species and cover of the moss layer were significantly higher in the 1984 area and ectorganic and endorganic horizons significantly thicker in the ungrazed area. It is suggested that these effects are the result of an increased availability of light, but possibly also of a decreased stock of organic matter and nutrients, due to a decreased input of litter and accelerated rates of decomposition.     

三维铝型材挤压模多参数优化

以一个导流组合模为例,利用神经网络建立模具参数的数学模型,用遗传算法对参数优化。其中由正交法设计得到实验样本,由软试模提取模具的SDV值,将其作为优化目标。最终实验结果与优化值吻合,为建立和控制挤压模参数提供了一种行之有效的手段。     

PM2.5 chemical source profiles for vehicle exhaust, vegetative burning, geological material, and coal burning in Northwestern Colorado during 1995

PM_2.5 (particles with aerodynamic diameters less than 2.5 μm) chemical source profiles applicable to speciated emissions inventories and receptor model source apportionment are reported for geological material, motor vehicle exhaust, residential coal (RCC) and wood combustion (RWC), forest fires, geothermal hot springs; and coal-fired power generation units from northwestern Colorado during 1995. Fuels and combustion conditions are similar to those of other communities of the inland western US. Coal-fired power station profiles differed substantially between different units using similar coals, with the major difference being lack of selenium in emissions from the only unit that was equipped with a dry limestone sulfur dioxide (SO₂) scrubber. SO₂ abundances relative to fine particle mass emissions in power plant emissions were seven to nine times higher than hydrogen sulfide (H₂S) abundances from geothermal springs, and one to two orders of magnitude higher than SO₂ abundances in RCC emissions, implying that the SO₂ abundance is an important marker for primary particle contributions of non-aged coal-fired power station contributions. The sum of organic and elemental carbon ranged from 1% to 10% of fine particle mass in coal-fired power plant emissions, from 5% to 10% in geological material, >50% in forest fire emissions, >60% in RWC emissions, and >95% in RCC and vehicle exhaust emissions. Water-soluble potassium (K⁺) was most abundant in vegetative burning profiles. K⁺/K ratios ranged from 0.1 in geological material profiles to 0.9 in vegetative burning emissions, confirming previous observations that soluble potassium is a good marker for vegetative burning.     

内蒙古典型草原季节性冻土区土壤剖面CO2、N2O特征

为了评估放牧对内蒙古典型草原季节性冻土区温室气体产生机制的影响,通过气体原位采集系统对该区土壤剖面不同土层N_2O、CO_2浓度动态变化进行了为期1a的田间原位监测.共设3个处理:1979年以来规划的禁牧(UG79)、1999年以来规划的禁牧(UG99)和持续放牧(CG)小区.结果表明:土壤剖面N_2O、CO_2浓度具有明显的时空分布特征:(1)3个处理不同时期土壤剖面CO_2平均浓度均表现为:生长期冻融期冻结期,且生长期CO_2浓度要远大于冻融期和冻结期;UG79土壤剖面CO_2浓度最高,CG最低;不同土层间CO_2浓度有所差异,具体表现为UG79、UG99:20 cm≥50 cm≥35 cm≥10 cm≥5 cm;CG:50 cm≥35 cm≥20 cm≥10 cm≥5 cm;(2)土壤剖面N_2O浓度时空变化特征则与CO_2不同,UG79、UG99呈现出"单峰型"变化规律,CG为"双峰型"变化规律,即虽然CG在生长期N_2O也有微弱的释放,但3个处理土壤剖面N_2O浓度均在土壤冻融期内急剧增加,其中CG处理土壤剖面N_2O平均浓度最高,与UG79、UG99差异显著(P0.05);不同土层土壤剖面N_2O浓度表现为UG79:20 cm≥50 cm≥35 cm≥10 cm≥5 cm;CG:50 cm≥35 cm≥20 cm≥10 cm≥5 cm;UG99:35 cm≥50 cm≥20 cm≥10 cm≥5 cm.研究得出放牧可以使该区土壤剖面CO_2浓度降低、N_2O浓度升高,这为我国草原季节性冻土区温室气体的准确评估提供了重要的理论支持.     

我国典型钢铁行业主要工艺环节排放颗粒物源成分谱特征

鉴于我国钢铁行业排放颗粒物源成分谱数量不足,有待更新的现状,致力于服务精细化颗粒物源解析的需求,采用稀释通道系统对武汉市某钢铁公司的3个主要工艺环节(烧结、炼钢、炼铁)排放源进行了采样.构建了3类PM_(2.5)源成分谱及3类PM_(10)成分谱,对源谱主要化学组分特征进行了研究,并与国内其他区域已有的钢铁行业源谱研究进行了对比.结果表明:(1)烧结工艺源成分谱中,SO_4~(2-)、Al和NH_4~+等含量高,PM_(2.5)源谱中质量分数依次为22. 2%、4. 5%和3. 5%,PM_(10)源谱中依次为36. 0%、5. 2%和2. 7%,炼铁工艺Fe元素含量最高,在PM_(2.5)源谱和PM_(10)源谱中分别达到28. 3%和24. 5%,炼钢工艺源谱Ca、Fe元素等为主要组分;(2)元素组分中,烧结工艺S元素含量最高,地壳元素在PM_(10)源谱中含量更高,炼铁工艺Pb、Cr等重金属含量偏高,炼钢工艺Cr富集;(3)源谱之间分歧系数的计算显示,同类工艺粗细粒径源谱相似性偏高,烧结工艺与其他两类工艺源谱之间差异性较高,炼钢工艺与炼铁工艺差异性较低.同国内其他区域研究源谱相比,发现Fe、Si和Ca等为钢铁行业排放颗粒物中标识性组分,而碳组分和SO_4~(2-)等组分特征随生产方式、除污设备等不同表现出不同特征.     

典型绿洲不同土壤类型有机碳含量及其稳定碳同位素分布特征

土壤有机碳及其稳定同位素组成反映了生态系统碳循环的关键信息,对研究全球变化下陆地生态系统碳动态及碳资源的可持续发展具有重要意义.本研究以阿拉尔绿洲4种土壤类型为研究对象,测定不同深度土壤有机碳(SOC)含量和δ~(13)C值,探讨不同土壤类型有机碳分布、δ~(13)C_(SOC)丰度差异及其与土壤环境因子的关系.结果表明:(1)土壤整体有机碳含量由高到低依次为灌漠土、棕漠土、盐土、风沙土,且在表层(0~20 cm层)具有较大值;δ~(13)C_(SOC)变化范围在-26‰~-23‰,表层(0~20 cm)由正趋负为盐土风沙土灌漠土棕漠土.(2)土壤有机碳含量受土壤类型、深度及其交互作用极显著影响,δ~(13)C_(SOC)受土壤类型、交互作用显著影响;进一步交互效应检验中土壤有机碳受因素水平影响极强,同位素相对较弱.(3)冗余分析发现土壤有机碳与土壤无机碳、全氮、土壤含水量、容重均存在显著或极显著正相关关系,与C/N具有显著负相关关系;δ13CSOC与电导率存在显著正相关关系,与土壤无机碳、土壤含水量均存在极显著负相关关系.土壤环境因子的重要性排序为土壤含水量土壤无机碳容重全氮C/N电导率pH.分析得出土壤有机碳及其同位素在不同土壤类型中呈现出不同变化规律,其土壤类型的效应强于土壤深度,受土壤含水量影响最甚.     

南京和宜兴市土壤中多环芳烃(PAHs)的纵向分布

采集了江苏省南京和宜兴市的土壤剖面样品,用高效液相色谱分析了16种PAHs在土壤样品中的含量,研究了PAHs在土壤剖面中的纵向分布特征和影响因素。结果表明,在采样点土壤0～10cm的表土中16种PAHs总量最高,为280.8～717.1μg/kg,随着土壤剖面的加深PAHs总量减少,在70～80cm土层中为8.7～97.5μg/kg。不同PAHs组分在土壤中分布的特点不同,低环的PAHs(≤3环)含量在0～80cm土层中都有分布且随土壤深度加深而减少,而高环的PAHs(≥4环)主要分布在0～30cm土层中,30cm以下土层中含量较少甚至检测不到。相关分析表明,在每个土壤剖面中PAHs总量与其土壤有机碳含量显著相关,PAHs在农田土壤剖面中的纵向分布与土壤有机碳含量、PAHs的理化性质有很大的关系。