农药污染对蚯蚓的群落结构与超微结构影响的研究

报道了农药污染对蚯蚓的群落结构与超微结构影响的研究,结果表明：随着农药污染程度增加,蚯蚓的种类和数量则减少。超微结构在扫描电镜下可观察到重污染区壮伟环毛蚓（Pheretimarobusta）胃粘膜出现溃疡灶,并产生穿孔现象;在中污染区只有微绒毛萎缩病变;在重污染区发现肠粘膜上的纤毛发生紊乱及萎缩,纤毛顶端膨大呈球形。对精子观察可见在中污染区就出现了畸形精子。在透射电镜下观察可见重污染区壮伟环毛蚓胃肠道粘膜上皮细胞中的粗面内质网（RER）出现扩张,高尔基复合体也产生扩张状,线粒体发生肿胀,线粒体嵴消失呈空泡状。另可见细胞核膜间隙扩张、断裂,核染色质边集或减少,胞质呈大片空白。蚯蚓以上病变指标均能很灵敏反映土壤农药污染程度。     

煤基腐殖酸对外源砷胁迫下玉米生长及生理性状的影响简

为了筛选用于砷污染土壤治理的煤基腐殖酸,采用盆栽实验研究了施用不同种类和浓度的煤基腐殖酸及EDTA对外源砷胁迫下玉米株高、株鲜重、株干重、根干重、砷积累量、叶片抗氧化酶（POD,SOD和CAT）活性和脯氨酸含量的影响。结果表明,11种供试煤基腐殖酸均促进了玉米生长,提高了叶片POD、SOD和CAT活性。其中6和10号腐殖酸可降低土壤砷活性和显著抑制玉米吸收和积累砷,而8和9号腐殖酸增加了土壤活性砷和显著促进了玉米对砷的吸收和累积,且不同程度地强于EDTA。除8和9号外,其余腐殖酸均可明显降低玉米叶片脯氨酸的含量。EDTA可显著促进玉米吸收和积累砷,且加剧了砷对玉米的危害。因此,8和9号供试煤基腐殖酸可以替代EDTA活化土壤砷,与植物配合以提高砷污染土壤的植物修复速度和效果,而6和10号供试煤基腐殖酸则可用于土壤砷钝化剂,以保证作物产品的安全。     

几种印染助剂对壳聚糖稳定纳米铁去除酸性品红的影响

以氯化铁为铁源,硼氢化钠为还原剂,壳聚糖为稳定剂,采用液相还原法制备壳聚糖稳定纳米铁（CS-nZⅥ）;研究了印染废水中常见助剂NaNO₃、Na₂SO₄、NaH₂PO₄、K₂Cr₂O₇、EDTA二钠盐存在下,超声波辅助CS-nZⅥ对酸性品红（AF）降解的影响。结果表明,反应15 min,0.01 g CS-nZⅥ对25 mL、100 mg/L AF的去除率高达99.9%;各种助剂的存在使得纳米铁表面不同程度失活,阻碍反应的进行,使得AF的去除率下降。NaNO₃、K₂Cr₂O₇、EDTA二钠盐与纳米铁发生反应,与AF存在明显的竞争作用。重复利用实验表明,CS-nZⅥ重复利用7次仍具有一定的反应活性。此外,CS-nZⅥ对加标（50 mg/L）实际废水中AF的去除率达到99%以上,表明CS-nZⅥ是一种潜在的环境修复材料。     

基于不确定性分析的健康环境风险评价

基于对水源地石油污染等现场调查数据为基础,选取典型污染物苯,利用可传递参数差异的蒙特卡罗技术方法,分析了乙烯厂不同分区苯污染经过呼吸和饮水暴露途径造成人体健康风险的不确定性,量化不确定性因素影响的A地区人体健康风险水平.结果表明,裂解装置区是苯污染影响人体健康风险水平的主要来源,产生的健康风险水平均值为1.17×10^-4,而其他3个分区的影响较小;所有分区苯污染对A地区产生的人体健康总风险均值为1.18×10^-4,大于美国环保局人体健康风险建议值10^-6,对人体健康已产生影响;受不确定性因素影响,根据不同的人体健康可以承受的风险水平限值,污染对人体健康产生影响的概率存在差异.因此量化不确定性对风险水平的影响,可为污染场地的风险管理和修复行动提供科学依据.     

铝、铁共聚作用的化学特征及晶貌研究

通过对铝，铁水解共聚物的合成制备及其水解共聚合过程电位滴定的研究，并通过扫描电镜对其共聚物样品的晶貌观测，ｎＡｌ／ｎＦｅ的点能谱及结构组成的红外光谱测定，对铝铁共聚作用的化学特征及其晶形貌象，共聚作用进行了研究及讨论，为深入研究铝无机共聚溶液体系化学形态组成及其絮凝剂的提供了的基础实验依据。     

京津冀典型城市采暖季颗粒物浓度与元素分布特征

选择京津冀地区3个典型城市和从南至北的4个国家大气背景站作为研究对象,收集采暖季空气颗粒物PM2.5、PM10样品,微波消解-ICP-MS法分析了样品中的68种元素。结果表明,北京、天津、石家庄PM2.5和PM10日均质量浓度均高于国家二级标准限值和背景点,一元线性回归分析结果表明,PM10与PM2.5质量浓度呈线性相关,Na、Mg、Al、S、K、Ca、Fe质量浓度为0.1~10μg/m3,Si、P、Ti、Mn、Ni、Cu、Zn、Ba、Pb质量浓度为10~100 ng/m3,其他元素质量浓度为0.01~10 ng/m3或未检出。在元素构成上,S、Na、Al、K、Fe、Mg、Ca、P、Si等是主要元素,元素含量均大于1%。其他微量元素每种元素含量为0.1%~1%。14种重点防控重金属在PM2.5中的吸附显著高于PM10,主要来源于燃煤、燃油、工业排放、机动车尾气等。     

Nutrients Availability Shapes Fungal Community Composition and Diversity in the Rare Earth Mine Tailings of Southern Jiangxi,China

Russian Journal of Ecology - The present study characterized the nutrients availability of three rare earth tailings deserted in different time stages in Southern Jiangxi of China, and revealed the...     

Technological innovation paths toward green industry in China

With the environmental carrying capacity reaching its limits and the decreasing margin benefits of traditional production factors, the green transformation and green development through technological innovations has been a major direction for the future development of Chinese industries. However, the characteristics and heterogeneities of various types of industries call for different approaches regarding technological innovations. How to choose the most effective mode of technological innovation according to the characteristics of a certain industry has been a key issue. This paper measures the green total factor productivity of 32 industrial trades using the Slacks Based Measure(SBM)-DDF method. The effects of three innovation modes in the green transformation of industrial industry, including the independent innovation(Ⅱ), the technology introduction(TI), and the government support(GS), are empirically analyzed based on industry heterogeneity. Results indicate that the green total factor productivities of different industries show significant differences if taking into account the energy input and the undesirable output of pollutant emissions. The green total factor productivities of traditional high input,high pollution, and high energy consumption industrial trades were significantly lower than those with obvious green features. The year of 2009 is a leap year for the industrial green transformation in China. For resource-intensive industries, the II and the GS are the important ways to achieve green transformation. For labor-intensive industries, the TI is the best path to achieve green transformation, while for technology-intensive industries, the II is the primary driving force for the promotion of green developments. In addition, the innovation-compensating effect of the current Chinese environmental regulations to the resource-intensive industries has been revealed. Improving the overall scale and the industrial concentration of the industries is also beneficial for the green transformation of the industries.     

Carbon trading thickness and market efficiency in a socialist market economy

Unlike the European Union emission trade system (EU ETS), China’s pilot ETSs implemented diversified policy designs instead of using a uniform framework. Variance ratio test is used to evaluate the Efficient Market Hypothesis (EMH) in China’s carbon trading markets. The results of two versions of variance ratio tests indicate that the carbon trading market in Hubei is considered weak form efficient, and the socialist market economy does not necessarily lead to market inefficiency in carbon trading markets. Thin trading activities generate market frictions and bias the Efficient Market Hypothesis (EMH) tests.     

Effects of Topographical Heterogeneity and Dispersal Limitation on Species Turnover in a Temperate Mountane Ecosystem: a Case Study in the Henan Province,China

Species turnover patterns can be inconsistent due to differences in the dispersal ability of different growth forms. Here, species of trees, shrubs, herbs, and bryophytes in the Xiaoqinling National Nature Reserve in China were analyzed to determine patterns of species turnover along an elevation and spatial gradient. Variance partitioning was used to assess the relative contribution of topographic heterogeneity and dispersal limitation to species turnover. Our results suggest that the effect of dispersal limitation is more important than topographic heterogeneity on species turnover in temperate mountane ecosystems in the study area. Dispersal limitation has a greater effect on trees species turnover than on shrubs, herbs or bryophytes species turnover.