亚热带河口陆基养虾塘水体CDOM三维荧光光谱平行因子分析

利用三维荧光光谱平行因子分析(EEMs-PARAFAC)技术,对我国亚热带地区闽江、木兰溪、九龙江河口滨海陆基养虾塘水体的有色溶解性有机质(CDOM)进行了组分及来源分析.研究表明从养虾塘水体CDOM荧光光谱中解析出4个有效PARAFAC荧光组分,包括2种类蛋白质物质和2种类腐殖酸物质,其中类蛋白质组分是河口陆基养虾塘水体中CDOM的主要组成部分.水体的荧光指数FI和自生源指标BIX表明河口区滨海陆基养虾塘水体中CDOM的强自生来源贡献.而腐殖化指标HIX表明养殖塘水体具有弱腐殖化特征.类蛋白质组分与类腐殖质组分之间可能具有相同的来源属性和地化行为,盐度与CDOM呈现极显著负相关,而DOC与CDOM中类腐殖质组分(C2、C3)呈现显著正相关.本研究为进一步揭示养虾塘水体CDOM的光化学性质提供了科学依据.     

北京市近地层颗粒物浓度与气溶胶光学厚度相关性分析研究

利用2009年北京市大气颗粒物质量浓度和气溶胶光学特性的同步观测研究发现,北京市城区颗粒物污染严重.PM2.5、PM10年平均浓度分别为(65±14)、(117±31)μg·m-3,均超出国家2016年拟执行环境空气质量二级标准,PM2.5、PM10日均值超标率分别为35%、26%.细粒子PM2.5污染与可吸入颗粒物PM10污染呈显著性相关,相关系数R约为0.90(P<0.001),二者相关性伴随PM2.5在PM10中所占比重自春季到冬季逐渐增大而增强,年均PM2.5占PM10比重为61%.气溶胶光学厚度AOD(500 nm)与气溶胶波长指数(α)年均值分别为(0.55±0.10)、(1.12±0.08).PM2.5、PM10与AOD间全年及各季节均呈显著线性相关,相关系数R≥0.50;但其相关系数与相关函数存在着显著的季节差异,夏秋季节相关性显著高于春冬季节,且全年相关会掩盖较大的季节性系统差异.对PM2.5、PM10数据进行湿度订正,对AOD进行混合层高度订正,PM2.5、PM10与AOD之间的相关性得到一定提升,且更适合指数相关.     

7种树木的叶片微形态与空气悬浮颗粒吸附及重金属累积特征

为揭示树木叶片微形态与吸附空气悬浮颗粒及累积重金属的关系,在淮南市交通繁忙点选择银杏等7种树木进行实验.分析了:①叶片吸附不同粒径空气悬浮颗粒的百分率;②单位叶面积吸附不同粒径颗粒的质量与叶片微形态的关系;③单位叶面积不同粒径颗粒吸附量与重金属累积量的相关性.结果表明,叶片面积小、表皮角质丰富和细胞壁凸凹不平、无表皮毛阻挡、气孔密、气孔口大的树木,属气孔吸附主导型,主要吸附细颗粒物;表皮毛多的树木,属表皮吸附主导型,主要吸附粗颗粒物.7种树木叶片累积重金属除铅外都具显著差异,其中银杏、女贞、香樟对重金属的累积能力较强;7种树木叶片对Cd、Cr、Ni、Zn、Cu这5种重金属及总含量的累积与单位面积吸附的可吸入颗粒量呈正相关,d10与d2.5、d10与d1.0、d2.5与d1.0的相关系数分别是0.987、0.971、0.996,达到极显著水平,d2.5/d10、d1.0/d10、d1.0/d2.5的值分别是0.844、0.763、0.822,表明由交通污染产生的颗粒物主要是细颗粒物.     

结合水体光学分类反演太湖总悬浮物浓度

本研究利用2008年11月、2009年4月、2010年5月及2010年8月的太湖水体原位观测数据,在对光学复杂水体进行光学分类的基础上,分别建立了针对各个类别水体的总悬浮物浓度高光谱反演模型.通过对每类水体中各个模型的性能比较,分别得到各类水体的最优模型:第一类水体,比值模型为最优模型;第二类水体,半分析模型2为最优模型;第三类水体,一阶微分模型为最优模型.同时,比较分类前后模型的精度和稳定性,结果表明分类后,两者均表现出不同程度的提高,并且分析了光学分类导致半分析模型精度下降的原因.最后针对本研究的结果在遥感数据上的适用性进行了探讨,表明在高光谱遥感数据上有很大的应用潜力.本研究结论对光学复杂湖泊水体的水色遥感具有积极重要的意义.     

河口盐度梯度下溶解态核酸的微生物可利用性

核酸物质(DNA和RNA)作为自然水体中重要的溶解有机质组分之一,是水生微生物食物网的重要物质基础,因此核酸的微生物可利用性具有重要研究意义.2012年春季从长江口不同盐度区域采集水样,并分别添加鱼类DNA和酵母RNA进行培养,考察了其微生物可利用性.结果表明,在溶解态核酸添加至不同盐度的培养体系时,添加的DNA大约有20%～50%从溶解态快速转变至颗粒态,转化率随盐度增加而增加,而添加的RNA仅有约10%从溶解态转变至颗粒态,受盐度影响不大.在各培养体系中,溶解态核酸的微生物利用动力学曲线均符合Sigmoid方程,先有30～80 h不等的延滞期,而后进入快速利用期,最后为停止期,其中海水微生物对核酸的最大利用速率比河口/淡水微生物更快.当溶解态核酸进入河口水体后,分为微生物可利用的(自由溶解态/酶可水解的)、胶体结合态和颗粒态,其中RNA中微生物可利用形态百分比(80%～90%)显著高于DNA,且随盐度变化不大,而DNA中微生物可利用形态百分比随盐度升高而从78%逐渐降低至50%.因此,河口盐度梯度下的DNA和RNA赋存形态分布特征和微生物可利用性具有显著差异.     

Carbon paste electrodes modified with biosolids, soils and biocomposites utilized to study the interaction between organic matter and copper

Carbon paste electrodes (CPEs) modified with a biosolid, two types of soils with different amounts of organic matter (OM), and two biocomposites (soils mixed with a biosolid) were used to assess and compare the Cu(II) ion retention properties of the organic matter contained in the samples. The accumulation of Cu(II) on the surface of the modified carbon paste electrodes (MCPEs) was performed under open-circuit conditions. When comparing the response of the MCPEs while assessing parameters such as pH, preconcentration time, and adsorption/desorption capacity, it was found that the reaction mechanism of the two soils is different between the soils and dissimilar from the biosolid; while the biocomposites show reaction mechanisms that are intermediate between those of the soils and the biosolid. This was proven with the use of infrared spectroscopy, since the FTIR spectra show similarities between the two soils and significant differences between the soils and the biosolid.     

模拟酸雨淋溶条件下紫壤淋出液中溶解性有机质的三维荧光特性

运用三维荧光技术分析了模拟酸雨淋溶紫壤淋出液中溶解性有机质（dissolved organic matter,DOM）的组分与酸度及淋溶量的关系.研究结果表明,模拟酸雨淋溶紫壤淋出液中DOM荧光峰主要为类胡敏酸和类富里酸,荧光峰的中心位于Ex/Em=305—370 nm/420—450 nm和Ex/Em=260—270...     

Evaluating weather effects on interannual variation in net ecosystem productivity of a coastal temperate forest landscape: A model intercomparison

Forest productivity is strongly affected by seasonal weather patterns and by natural or anthropogenic disturbances. However weather effects on forest productivity are not currently represented in inventory-based models such as CBM-CFS3 used in national forest C accounting programs. To evaluate different approaches to modelling these effects, a model intercomparison was conducted among CBM-CFS3 and four process models (ecosys, CN-CLASS, Can-IBIS and 3PG) over a 2500 ha landscape in the Oyster River (OR) area of British Columbia, Canada. The process models used local weather data to simulate net primary productivity (NPP), net ecosystem productivity (NEP) and net biome productivity (NBP) from 1920 to 2005. Other inputs used by the process and inventory models were generated from soil, land cover and disturbance records. During a period of intense disturbance from 1928 to 1943, simulated NBP diverged considerably among the models. This divergence was attributed to differences among models in the sizes of detrital and humus C stocks in different soil layers to which a uniform set of soil C transformation coefficients was applied during disturbances. After the disturbance period, divergence in modelled NBP among models was much smaller, and attributed mainly to differences in simulated NPP caused by different approaches to modelling weather effects on productivity. In spite of these differences, age-detrended variation in annual NPP and NEP of closed canopy forest stands was negatively correlated with mean daily maximum air temperature during July-September (T_amax) in all process models (R² = 0.4-0.6), indicating that these correlations were robust. The negative correlation between T_amax and NEP was attributed to different processes in different models, which were tested by comparing CO₂ fluxes from these models with those measured by eddy covariance (EC) under contrasting air temperatures (T_a). The general agreement in sensitivity of annual NPP to T_amax among the process models led to the development of a generalized algorithm for weather effects on NPP of coastal temperate coniferous forests for use in inventory-based models such as CBM-CFS3: NPP′ = NPP − 57.1 (T_amax − 18.6), where NPP and NPP′ are the current and temperature-adjusted annual NPP estimates from the inventory-based model, 18.6 is the long-term mean daily maximum air temperature during July-September, and T_amax is the mean value for the current year. Our analysis indicated that the sensitivity of NPP to T_amax was nonlinear, so that this algorithm should not be extrapolated beyond the conditions of this study. However the process-based methodology to estimate weather effects on NPP and NEP developed in this study is widely applicable to other forest types and may be adopted for other inventory based forest carbon cycle models.     

An inverse model for the analysis of the Venice lagoon food web

A steady-state model of the Venice lagoon food web was constructed, based on a comprehensive set of data, which were collected in the years 2001-2005. Energy flows were estimated by means of an inverse methodology of constrained optimization based on the Minimum Norm criterion, i.e. on the minimization of both the sum of squares of the residuals and of the sum of squares of energy flows. The solution was constrained by a set inequalities, which were derived from general eco-physiological knowledge and site specific data on energy flows. The trophic network was represented by thirty-two nodes, including single-species compartments for the species of high economical or ecological relevance. Mass balance equations were weighted, in order to obtain meaningful results in presence of large differences, up to 5 orders of magnitude, among biomasses. A perturbation technique was applied, with the purpose of reducing the risk of finding solutions heavily affected by the set of constraints and of obtaining a more robust representation of the energy flows. The main patterns of energy flow are consistent with those obtained in previous attempts at modelling the Venice lagoon food web. Micro- and macro-phytobenthos account for the largest fraction of the primary production. Energy is then transferred towards higher trophic levels by means of two main pathways: the recycling of dead biomass through the detritus compartment and the direct consumption by grazers. The first pathway is the most important and accounts for approximately two/thirds of the energy transferred to the second trophic level.     

小流域土壤有机质和全磷空间变异分析——以安徽省舒城县龙潭小流域为例

为了解土壤的地域差异性,基于地统计学半方差函数理论和GIS空间克立格插值定量分析了安徽省舒城县龙潭小流域有机质、全磷的各向同性、各向异性变异特征及分布格局.结果表明,有机质、全磷的半方差拟合模型均为指数模型,两者的分布都显示了强烈的空间自相关,自相关距离分别为642 m、435 m.有机质、全磷变异的各向异性都比较显著,有机质在0°、50°方向上变异程度明显大于90°、145°方向;全磷则在0°、145°方向的变异程度更加突出.有机质、全磷的分布呈明显的块状和带状,其中有机质中部含量高,南部、西部含量低;全磷则是南部、西北含量高,西部、东北含量低.