建立污染土壤修复标准的探讨

随着污染土壤修复技术的发展和污染土壤修复环境工程的实施,污染土壤修复标准的建立已成为检验污染土壤修复工程效果的瓶颈.我国现行的土壤环境质量标准已不能适应污染土壤修复效果评判的需要.本文在分析我国土壤环境质量标准不足的基础上,结合一些发达国家土壤修复标准以及我国土壤污染实际情况,提出建立污染土壤修复标准应从污染物的选择、分析检测方法、修复标准的分类、对地下水的保护和生态毒理学评价方面综合考虑.     

洞庭湖流域区域生态风险评价

对于生态系统 ,灾害性事件的产生多为外界胁迫因素与系统内部生态结构不稳定性因素共同作用的结果 ,因此对流域生态风险进行评价时应充分考虑系统内部的生态结构与外界的胁迫性因素。目前国内外对于外界胁迫性因素的研究多集中在自然灾害 (如洪涝灾害 )以及外界污染物主要集中在重金属类的排入 ,而事实上 ,其他类型的污染物 ,如氮、磷等也将对生态系统产生一定的危害 ,由于这些污染物浓度在个别地区超标程度较高并可能对受体产生巨大的影响 ,因此将该类污染物作为一类重要因素纳入生态风险评价体系中是非常必要的 ,而由此得出的评价结果也更为系统和全面。以洞庭湖地区的东、南、西三部分作为研究区域 ,根据其特殊的背景 ,将工业污染、农业污染及血防污染作为其污染类风险源 ,引入由氮毒性污染指数、磷毒性污染指数、重金属类毒性污染指数共同构成的毒性污染指数与自然灾害指数和系统本身的生态指数 ,包括生物指数、多样性指数、物种重要性指数以及脆弱性指数完成了对洞庭湖流域的区域生态风险评价。     

污染土壤生态修复的理论内涵、方法及应用

讨论了污染土壤生态修复的理论内涵、修复方法的优化组合及其应用案例.将污染土壤生态修复的目标拓展为:目标污染物降低到可接受程度、土壤生态毒理性降低到可接受程度、部分恢复或全部恢复土壤的生态服务功能.归纳出污染土壤生态修复的5个特点、5个原则.初步提出污染土壤生态修复方法优化组合的原则.污染土壤生态修复方法优化组合表现出以...     

贵州重点地区土壤和水体中汞的生态风险

分析了贵州省土壤和地表水体中汞含量空间分布状况,分别采用地累积指数法和潜在生态危害指数法评价了土壤中的汞污染程度和潜在生态风险;采用单因子法表征了水体总汞污染程度,应用安全阈值法对水体活性汞和甲基汞进行生态风险评价.结果表明:贵州省汞矿区及涉汞行业毗邻区域土壤中总汞污染程度较高,涉汞区23个点位中严重污染、重污染和偏重污染水平分别占78.26％、13.04％和8.70％,且均为极度生态危害.非涉汞区除青山坡土壤中汞的生态风险极强外,其他区域土壤中汞的污染程度不高,生态风险属于可接受水平.贵州省汞开采与冶炼、铅锌冶炼、有机化工等行业已造成毗邻水体出现较严重的汞污染,且污染范围有扩大和延伸的趋势,但对水生生物有直接影响的活性汞和甲基汞的生态风险较小.     

土壤生物与土壤污染研究前沿与展望

随着社会经济发展,人类生产活动对自然环境产生越来越广泛深刻的影响,土壤污染已成为危及生态系统稳定、农产品质量安全和人体健康的突出环境问题之一。重金属、有机污染化合物、病原菌及抗性基因等各类污染物大量进入土壤后,对土壤生物系统造成毒害作用,影响到土壤生态功能;另一方面,土壤生物如细菌、真菌、土壤动物等在一定程度上能够适应土壤污染,深刻影响着污染物在土壤中的迁移转化过程,在土壤污染修复中具有潜在重要作用。从土壤污染的生态毒理效应、土壤生物对土壤污染的响应与适应机制、污染土壤修复原理与技术等三方面综述了土壤生物与土壤污染相关研究前沿,展望了重点研究方向。     

持久性有机污染土壤的植物修复及其机理研究进展

随着人类对化学品的依赖程度越来越高,环境的有机污染状况也越来越严重.有机污染土壤的植物修复是指利用植物在生长过程中,吸收、降解、钝化有机污染物的一种原位处理污染土壤的方法,具有应用成本低、生态风险小、对环境副作用小等特点.本文综述了近年来国内外有机污染土壤的植物修复研究进展情况,重点介绍了多氯联苯、多环芳烃、农药和硝基芳香化合物等持久性有机污染物的植物修复,阐述了有机污染土壤植物修复的关键机制,并分析了该技术在实际工程应用中的局限性及应考虑的因素.最后,指出了今后该领域的重点研究方向.     

生态修复过程中的若干问题——以POPs污染土壤为例

生态修复是在受污染土壤所在的区域环境条件下,以土壤生态系统自净能力为基础耦合其它修复技术,达到修复高效、安全和可靠的目的。以POPs污染土壤为例,总结了污染土壤生态修复的4个原则,分析了生态修复过程,对修复目标确立,修复过程控制,修复结果评估做了探讨。在分析耦合概念和生态修复过程的基础上,认为修复技术的耦合过程是生态修复的关键,总结了生态修复中的耦合原则、耦合策略和耦合方式。展望了生态修复的发展趋势和研究方向。     

污染土壤生态修复理论内涵的初步探讨

污染土壤修复的目的是转移或转化土壤中有毒有害污染物,消除或减弱污染物毒性,恢复或部分恢复土壤的生态服务功能.由于土壤污染大多属于复合污染,通常需要用多种方法联合修复污染土壤.用一种统一的方法涵盖多种修复方法,注重系统内在修复功能同外加修复功能的有机结合,以及土壤生态服务功能的全面恢复是污染土壤修复的发展趋势.本文据此提出了污染土壤生态修复的概念,并指出生态修复应该遵从生态学的3个原理和3个原则.在生态修复中,生物修复的作用十分重要,但不同方法之间的组合服从于工艺优化原则.人为强化、激活土壤系统的净化功能,并实现同外加净化功能的耦合,可使修复效率大大提高.生态因子调控是污染土壤修复的必要前提,是生态修复的基本特征,是强化修复效果的重要手段.生态修复应该具有协调性、高效性与稳定性特征.生态修复的最终目标是土壤生态功能的恢复,生态修复的基准应该根据土壤的生态功能建立.生态修复理论将在指导污染土壤修复的实践方面发挥重要作用.     

污染生态化学:现状与展望

随着生态学和环境化学的发展和交叉,形成了一门新的学科－污染生态化学。目前,它的主要研究内容包括化学污染物的迁移转化及其微观生态化学过程、化学污染的生态效应与毒理及生态风险评价、全球变化的生态化学、生态系统中化学污染物的分析与监测和污染控制生态化学等５个方面。在知识创新的科学目标指导下,污染生态化学今后的工作必须加强从理论上进行突破,在对基础研究进行深入的同时,应该特别注意开展一些应用研究,从而实现     

临安市雷竹林土壤重金属污染特征及生态风险评价

为了解临安市雷竹林土壤重金属污染特征,采集并测定了160个土壤样品的Hg、As、Cu、Pb、Zn、Cd、Cr、Ni、Co、Mn等重金属含量,采用单因子污染指数和内梅罗综合污染指数对雷竹林土壤重金属污染程度进行分析,并应用Hankanson潜在生态风险指数法对雷竹林土壤重金属潜在生态风险进行评价.结果表明:雷竹林土壤重金属Hg、As、Cu、Pb、Zn、Cd、Cr、Ni、Co、Mn的平均含量分别为0.16、7.41、34.36、87.98、103.98、0.26、59.12、29.56、11.44、350.26mg·kg-1,Pb、Cd、Zn和Cu平均值超过浙江省土壤背景值,分别是对应背景值的2.89、1.70、1.12、1.12倍.经单因子污染指数评价,不同重金属元素的平均污染程度大小依次为Pb＞Cd＞Cu=Zn＞Hg＞As＞Ni＞Co＞Cr＞Mn,其中Pb有中度污染,Cd、Cu和Zn有轻度污染.经内梅罗综合污染指数评价,160个样点都受到不同程度的重金属污染,轻度污染、中度污染和重度污染水平所占比率分别为55.6％、29.4％和15.0％.各重金属单因子潜在生态风险指数平均值评价结果显示,只有Cd污染达到中等生态风险,其他重金属均为轻微生态风险,而局部采样点Cd和Hg单因子潜在生态风险指数最大值分别达到256.82和187.33,存在很强生态风险.重金属综合因子潜在生态风险指数评价结果表明,临安市雷竹林土壤整体上存在轻微生态风险.     

IRRADIATION ULTRA-VIOLETTE DES ORGANITES CELLULAIRES AVEC OBSERVATION CONTINUE EN CONTRASTE DE PHASE

The apparatus described is designed to permit the observation of the smallest cellular components with the phase contrast microscope (which requires an objective of a high numerical aperture) while a part of the cell is irradiated by a very small spot of ultraviolet radiation. Theoretical considerations show a good distribution of the energy for a diameter of the irradiation spot as small as 0.2 microns. Indications are given about the limitations of the brightness caused by diffraction at the spot diaphragm and the energy absorption by volume-unit of the irradiated object. The practical applications of the apparatus are discussed.     

PCR-DGGE技术在农田土壤微生物多样性研究中的应用

变性梯度凝胶电泳技术(DGGE)在微生物生态学领域有着广泛的应用。研究采用化学裂解法直接提取出不同农田土壤微生物基因组DNA,并以此基因组DNA为模板,选择特异性引物F357GC和R515对16S rRNA基因的V3区进行扩增,长约230bp的PCR产物经变性梯度凝胶电泳(DGGE)进行分离后,得到不同数目且分离效果较好的电泳条带。结果说明,DGGE能够对土壤样品中的不同微生物的16S rRNA基因的V3区的DNA扩增片断进行分离,为这些DNA片断的定性和鉴定提供了条件。与传统的平板培养方法相比,变性梯度凝胶电泳(DGGE)技术能够更精确的反映出土壤微生物多样性,它是一种有效的微生物多样性研究技术。     

Water regime of the aeration zone of geochemically conjugated soils of the priobskoe plateau under irrigation conditions

In the vast majority of works devoted to studying the water regime of soils the objects under observation proved to be isolated soils either as null- or one-dimensional formations. At the same time the nature of spatial organization of appropriate processes was not taken into account. This is connected with the imperfections of traditional methods of water regime investigation. In this work the observation results are presented of moistening dynamics of geochemically conjugated soils of the near-Ob area during their irrigation using the neutron moisture metering method.     

植物适应铝毒胁迫的生理及分子生物学机理

铝毒是酸性土壤上限制作物生长最重要的因素,严重影响着全世界和中国大约40％和21％耕作土壤的作物生产．近几十年来,世界各国针对植物的铝毒及其耐铝机制进行了大量的研究,并取得了较大进展．文中重点综述了植物适应铝胁迫基因型差异筛选方法及其鉴定技术、植物适应铝胁迫的生理基础及分子生物学机制等方面的研究进展,简要讨论了今后的研究方向．     

Tools and Techniques for the Assessment of Ecotoxicological Impacts of Contaminants in the Terrestrial Environment

Until recently, only a small number of standardized (mainly acute) tests with earthworms and plants were available for terrestrial risk assessment. However, during the last years various new methods (especially with chronic endpoints such as reproduction) were developed and standardized. Moreover, beyond structural aspects (e.g., the effect on individuals), the question of influences of chemicals on ecological soil functions like litter decomposition has been raised. Later, biological test methods were used in the area of Soil Quality Assessment, where an often unknown and complex contamination of a site-specific field soil has to be evaluated. Due to the variety of soils to be tested, the existing methods had to be adapted. This article briefly summarizes basic principles of method standardization before providing an overview of existing standardized tests for the compartment soil (mainly from Europe), focusing on zoological, plant, and functional methods. After presenting the main features of already standardized tests (in particular those used in soil quality assessment so far) the development of new tests for specific purposes, ideas for a battery of tests and a new, community-based approach assessing the biological quality of field soils are discussed.     

Effects of nitrogen deposition on the greenhouse gas fluxes from forest soils

Nitrogen (N) deposition can alter the rates of microbial N- and C- turnover, and thus can affect the fluxes of greenhouse gases (GHG, e.g., CO₂, CH₄, and N₂O) from forest soils. The effects of N deposition on the GHG fluxes from forest soils were reviewed in this paper. N deposition to forest soils have shown variable effects on the soil GHG fluxes from forest, including increases, decreases or unchanged rates depending on forest type, N status of the soil, and the rate and type of atmospheric N deposition. In forest ecosystems where biological processes are limited by N supply, N additions either stimulate soil respiration or have no significant effect, whereas in “N saturated” forest ecosystems, N additions decrease CO₂ emission, reduce CH₄ oxidation and elevate N₂O flux from the soil. The mechanisms and research methods about the effects of N deposition on GHG fluxes from forest soils were also reviewed in this paper. Finally, the present and future research needs about the effects of N deposition on the GHG fluxes from forest soils were discussed.     

Fungal to bacterial biomass ratio in the forests soil profile

The carbon content in microbial biomass (C_mic-MB) was determined in various horizons of the soil profile (sod-podzo, gray, podzol, and rzhavozem) of various forests (oak, spruce archangel, spruce moss, aspen, spruce broadleaf) in the southern taiga of European Russia (Moscow and Kaluga regions) by the substrate-induced respiration (SIR) and direct microscopy (DM) methods. The fungi-to-bacteria ratio was measured by the selective inhibition technique and DM. A quantitative differentiation of the fungal mycelium was suggested. The C_mic-DM / C_mic-SIR in various horizons of the soil profile was about 98%. The fungal contribution to MB was 52–74% and 92–99% according to the SIR and DM methods, respectively. The microbial parameters were associated with the CO₂ and N₂O production by the soils. The contradictory data about the fungal portion in the MB of soils of various ecosystems were discussed.     

Statistical models of shape for the analysis of protein spots in two-dimensional electrophoresis gel images

In image analysis of two-dimensional electrophoresis gels, individual spots need to be identified and quantified. Two classes of algorithms are commonly applied to this task. Parametric methods rely on a model, making strong assumptions about spot appearance, but are often insufficiently flexible to adequately represent all spots that may be present in a gel. Nonparametric methods make no assumptions about spot appearance and consequently impose few constraints on spot detection, allowing more flexibility but reducing robustness when image data is complex. We describe a parametric representation of spot shape that is both general enough to represent unusual spots, and specific enough to introduce constraints on the interpretation of complex images. Our method uses a model of shape based on the statistics of an annotated training set. The model allows new spot shapes, belonging to the same statistical distribution as the training set, to be generated. To represent spot appearance we use the statistically derived shape convolved with a Gaussian kernel, simulating the diffusion process in spot formation. We show that the statistical model of spot appearance and shape is able to fit to image data more closely than the commonly used spot parameterizations based solely on Gaussian and diffusion models. We show that improvements in model fitting are gained without degrading the specificity of the representation.     

城市土壤中多环芳烃分布和风险评价研究进展

随着城市化进程的加快,城市土壤中的多环芳烃（PAHs）污染日趋严重.本文从城市土壤中多环芳烃的分布和来源等方面综述了国内外取得的最新研究成果,对影响城市土壤多环芳烃分布的人为因素、自然因素,常见的多环芳烃源解析方法,以及城市土壤多环芳烃污染的风险评价进行了全面的阐述,尤其对地统计学在多环芳烃空间分析及风险评价上的应用进行了总结.最后,对未来城市土壤中多环芳烃研究的重点与发展趋势进行了展望.     

重金属污染土壤原位钝化修复研究进展

重金属原位钝化技术是一种污染土壤的修复方法,指向污染土壤添加一些活性物质（钝化修复剂）,以降低重金属在土壤中的有效浓度或改变其氧化还原状态,从而有效降低其迁移性、毒性及生物有效性.本文基于原位钝化修复剂种类、研究方法、评价指标、作用机制以及风险评价等方面的研究,深入分析了该领域的研究现状和存在问题,并提出了今后研究的重点.目前广泛使用的钝化修复剂主要有粘土矿物、磷酸盐、有机堆肥及微生物材料等.由于土壤结构和组分的复杂性,钝化修复剂的作用机制尚不完全清楚,其可能的机制主要包括沉淀反应、化学吸附与离子交换、表面沉淀、有机络合和氧化还原等.今后应加强从分子水平研究重金属的钝化机制,重点关注钝化修复重金属污染土壤时存在的潜在风险以及钝化修复的长期田间效应.