Influence of dissolved organic matter from corn straw on Zn andCusorption to Chinese loess

The interaction of Zn and Cu with dissolved organic matter (DOM) is a significant physicochemical process affecting their sorption as well as mobility in soil. The objective of this study was to examine the influence of DOM from corn straw on the sorption of Zn and Cu by loess through batch adsorption technique. The sorption isotherms of Zn and Cu could be well described by the Freundlich equation, and the partition distribution coefficient (k) in the presence of DOM was reduced by 86% for Zn and 58% for Cu, as compared to the control receiving no DOM, suggesting that DOM had a stronger inhibitory effect on Zn sorption than that of Cu. In addition, the sorption of metal increased with an increase in pH for loess, with maximum inhibition on metal sorption observed at pH > 7.6 for Zn and pH > 5.5 for Cu in the absence ofDOM but Cu sorption of DOM was suddenly decreased with an increase of pH at pH > 7.9 in the presence of DOM. At a DOM concentration of <200 mg L^?1, sorption of Zn and Cu was reduced by 46% for Zn and 32% for Cu with an increase in DOM concentration.     

Principal components derived from soil physicochemical data explained a land degradation gradient,and suggested the applicability of new indexes for estimation of soil productivity in the Sakaerat Environmental Research Station,Thailand

To find a principal component (PC) that quantifies the degree of soil degradation, we analyzed various physicochemical characteristics of soils over a land degradation gradient related to aboveground vegetation in the Sakacrat Environmental Research Station (SERS), Thailand. The aboveground vegetative types representing the degradation gradient were bare ground (BG, highly degraded), dry dipterocarp forest (DDF, moderately disturbed) and dry evergreen forest (DEF, the original vegetation). Soils under these vegetative types were sampled in February (dry season). March just after temporal precipitation) and June (rainy season) 2001. Through the period of this research, the degradation was consistently explained by sandy texture, high bulk density, lower pH, high exchangeable acidity, poor mineral and organic nutrients and dryness. Principal component analysis (PCA) was applied to determine significant principal components (PCs) that clarify the differences in soil properties between the vegetative types and between the timing of soil sampling. The PC loadings suggested that the first PC was the component that indicates total fertility of soil in the site, while the fifth PC indicates the dry to wet seasonal transition. The first PC was named the total fertility component (TFC). The linear regression between the TFC score and recently proposed indexes, the soil fertility index (SFI) or the soil evaluation factor (SEF), was highly significant (p < 0.001), indicating that the SFI and the SEF are applicable to measuring total fertility of soils in the SERS.     

How does the brown mussel Perna perna respond to environmental pollution? A review on pollution biomarkers

The brown mussel Perna perna (Linnaeus, 1758) is a valuable resource for aquaculture in tropical and subtropical coastal regions. It presents desirable characteristics for biomonitoring, including being sessile, widely distributed and abundant, and is a filter-feeder able to accumulate several classes of pollutants (e.g., metals, hydrocarbons, among others). Mussels’ biological responses to pollution exposure can be measured as biomarkers, which include alterations ranging from molecular to physiological levels, to estimate the degree of environmental contamination and its effects on biota. This full review compiles two decades (2000–2020) of literature concerning biological effects on P. perna mussel caused by environmental pollutants (i.e., metals, hydrocarbons, and emerging pollutants), considering environmental and farm-based biomonitoring. Biochemical markers related to mussels’ oxidative status were efficient for the biomonitoring of metals (i.e., antioxidant enzymes associated with oxidative damage in biomolecules). Genotoxicity and cytotoxicity indicators (i.e., comet, micronucleus, and neutral red assays) provided a depiction of hydrocarbon contamination. The neutral red assay gave a time-concentration cytotoxic response to a wide range of pollutants, including emerging pollutants (e.g., pharmaceuticals and biocides) and hydrocarbons. Perna perna hemocyte parameters provided a useful approach for biocide biomonitoring. This paper summarizes useful biomarkers from molecular to physiological levels in this mussel species used to identify and quantify the degree of coastal pollution. An integrated biomarker analysis may provide a way to overcome possible biomarker variations and assess multi-polluted sites. Nevertheless, it is necessary to investigate biomarker variations according to natural factors (e.g., season and gonad maturation stage) to standardize them for trustworthy biomonitoring.     

Spatial and Temporal Trends of Physicochemical Parameters in the Water of the Reconquista River (Buenos Aires, Argentina)

The Reconquista river is one of the most polluted watercourses in Argentina. More than 3 million people and over 10,000 industries are settled on its basin. The available data show that pollution is mainly related to the discharge of domestic and industrial liquid wastes that are poured into the river almost untreated. At present no site of the river can be characterized as free of pollutants. Samples were taken monthly from 5 sites of the river; some 18–20 physicochemical parameters were determined in each sample. Analyses revealed significant differences in the degree of deterioration between sites. Two of them, close to the source of the river (Cascallares-S₁ and Paso del Rey-S₂) resulted less polluted than the two points located close to the mouth of the river (San Martin-S₄ and Bancalari-S₅). The worsening of the water quality in S₄–S₅ was attributed to the discharges of the Moron stream, a tributary that flows into the main course of the river a complex mixture of non treated waste waters. PCA was used in the ordination of samples (sites, season and physicochemical parameters). In the PCA performed using all variables, the first principal component showed positive correlation with N-NH₄ ⁺, conductivity, orthophosphate, BOD₅, COD and alkalinity, and negative correlation with DO. The second principal component was positively correlated with pH, temperature and chlorophyll a and negatively with phenols and hardness. In respect to the spatial distribution, the plot of the scores for the first two components of samples taken in each sampling station showed S₁ and S₂ values displayed farthest at the left side of the X axis with high DO. In contrast, S₄ and S₅ values stayed at the right side of this axis with high N-NH₄ ⁺, conductivity, orthophosphate, BOD₅, COD and alkalinity; data of S₃ were “intermediate". In order to identify seasonal trends in the concentration of contaminants scores of cases labeled by season were plotted. The line drawn on the ordination plane showed that summer samples tended to converge to the upper right portion of the graph where pollution variables had more importance on the first axis, and along the second axis with high correlation with pH, temperature and chlorophyll a. Winter scores were settled in the left lower part of the plot with minor contribution of pollution parameters and more importance of DO on the first axis. Samples of autumn and spring did not fit a clear cut pattern. Deceased     

辽河水体中COD的变化特征

对辽河干流8个断面多年的水质监测数据进行统计分析,计算得出辽河水体污染的内梅罗指数,揭示了COD的分布特征和时空变化规律．     

中国南方稻田土壤汞含量及潜在危害评价

选择我国南方水稻主产区安徽、浙江、湖南、湖北以及广西5个省,采集213个稻田土壤样品,探究我国南方稻田土壤中汞的空间分布特征与土壤理化参数(如p H值和有机质)的相关关系及汞富集的潜在危害。结果表明:不同省份的稻田土壤汞含量存在显著的差异(P0.05,n=213),含量范围是0.029~0.326 mg·kg~(-1)(干重),平均值为(0.094±0.036)mg·kg~(-1),与农用地土壤环境质量标准0.30 mg·kg~(-1)(GB15618—1995)相比,除湖北省以外均有轻度汞污染。Pearson相关性分析表明,稻田土壤中的汞含量与有机质含量呈显著正相关关系(P0.01,r=0.445),说明适度偏高的有机质有利于土壤汞的富集。不同省份稻田土壤潜在危害等级除浙江省外均在轻微到中等的范围内,浙江省的为强等级。     

景观富营养水体生态修复对浮游植物群落结构的影响

对以再生水为补给水源的北京稻香湖园林水系进行生态修复实验。通过对浮游植物群落和理化指标的分析,探讨浮游植物对生态修复的响应和修复效果。结果显示,生态修复实验实施后,TN、TP、COD和BOD5分别下降62.55%、66.42%、48.53%和40.95%,富营养程度明显降低;浮游植物密度和Chl-a含量分别下降86.1%和77.4%;Shan-non-Weaver物种多样性指数值从生态修复前低于2上升到2.74,且优势种群发生演替。相关分析表明:TP、PO4-P、pH与浮游植物密度呈极显著正相关(P(0.01);TN、NH4-N、NO2-N、COD和DO与浮游植物密度呈显著正相关(P(0.05);Chl-a含量与浮游植物密度呈极显著正相关(P(0.01)。浮游植物群落结构对城市富营养景观水系的生态修复措施表现出明显的响应。     

武汉东湖水生植物生态学研究：Ⅲ沉水植被重建的可行性研究

根据武汉东湖水体光学性质,营养状况和东湖现存水生植被的分布状况,对东湖各湖区重建沉水植被的可行性作了探讨,认为东湖大部分湖区恢复沉水植物是可行的。牛巢湖,汤林湖,后湖等湖区一旦停止放养草食性鱼类,加之适当的人工促进措施,沉水植物完全可以恢复。     

富营养湖泊中轮虫群落结构季节变化的环境驱动力研究(英)

通过对桥墩湖一周年的逐月采样,比较了影响轮虫群落结构季节变化的3种环境驱动力的相对重要性。桥墩湖是一个富营养湖泊,具有较高的营养盐和Chl a含量以及低的透明度。研究发现：水温和营养水平是影响轮虫数量和群落结构季节变化最重要的理化因子。由于大型枝角类数量的稀少,其对轮虫数量并没有显著的负面影响。短尾秀体溞是影响轮虫群落结构季节变化的最重要的枝角类;然而大多数优势轮虫与短尾秀体溞密度峰值的共同出现可能反映了它们对高营养水平和高水温的共同喜好。在浮游植物中,绿藻是决定轮虫密度的最重要的浮游植物门类;而其中的隐藻则是影响轮虫群落结构变化的最重要属。3组环境因子(理化因子、浮游植物、浮游甲壳动物)对轮虫群落结构的季节变化具有相似的解释大小。这些结果表明：在该富营养湖泊中,轮虫群落结构的季节变化可能主要受理化因子和食物资源的影响;浮游甲壳动物对轮虫群落结构的塑造作用有限     

气相色谱法测定废水中N，N─二甲基甲酰胺

用气相色谱仪氢焰检测器，ＰＥＧ２０Ｍ毛细管柱测定废水中的Ｎ，Ｎ二甲基甲酰胺（ＤＭＦ），结果表明与分光光度法基本一致