土壤中铜和镍的不同毒性阈值间量化关系

污染物的剂量-效应关系是生态毒理学的重要基础。在剂量-效应关系中,EC₁₀ (10%有效抑制浓度) 是建立基于风险的环境质量基准值的基础,但有关污染物生态效应的研究报导中多数采用毒性阈值EC₅₀ (半数抑制浓度),如何将EC₅₀转化为EC₁₀是建立污染物环境质量基准急需解决的问题。利用log-logistic拟合了中国17种代表性土壤中大麦、西红柿、小白菜3种植物的铜和镍剂量—效应曲线,获得了不同土壤中铜、镍剂量—效应曲线中段的斜率(b值),并依据计量—效应曲线获得3种植物在不同土壤中的铜、镍EC₁₀和EC₅₀值。结果表明：铜和镍的剂量—效应曲线 b值受土壤性质显著影响,但不同物种间的变化较小,大麦、西红柿及小白菜的铜、镍剂量—效应曲线b值绝对值的平均值分别接近于6.0和7.0。利用来自中国土壤的毒理学数据建立的铜和镍EC₅₀和EC₁₀单因子量化模型能较为准确地通过铜和镍EC₅₀值预测其EC₁₀值,其量化模型的决定系数 分别为0.704和0.799,当分别考虑土壤pH和有机碳 (OC) 的影响时,铜和镍的EC₁₀量化模型的决定系数分别提高至0.730和0.885。土壤中铜、镍EC₁₀与EC₅₀量化关系的建立可为中国土壤中铜、镍的风险评价及相关标准的制定提供更多的数据基础。     

土壤水溶态铜对小白菜的毒害效应及其预测模型

土壤中铜(Cu)重金属的生物毒性/有效性主要取决于它们在土壤液相中含量和土壤溶液的性质。探寻土壤有效态Cu的生物毒害效应,表征量化其与土壤溶液性质关系,可为土壤Cu的环境风险评价提供参考。选取17种典型农田土壤,探讨了有效态Cu(土壤孔隙水以及CaCl_2浸提态)对小白菜生长的毒性效应及其预测模型。结果表明:土壤孔隙水中Cu对小白菜生长10%抑制的毒性阈值值(EC_(10))和50%抑制的毒性阈值(EC_(50)),最大值与最小值相差为14.7和14.6倍;同样,对于CaCl_2提取态Cu的EC_(10)和EC_(50),最大值与最小值相差12.7和7.7倍,表明土壤溶液性质对水溶性Cu对小白菜的毒性阈值影响很大。建立了土壤溶液的重要因子(溶解性有机碳、土壤溶液pH值、电导率、全硫含量、Ca~(2+)、Mg~(2+)、K~+、Na~+)和水溶性Cu阈值之间的多元回归关系,结果显示,土壤溶液性质可以较好地预测水溶性Cu对小白菜的毒性阈值。同时,土壤溶液中Mg~(2+)、K~+和S的含量是控制孔隙水中Cu对小白菜生长毒性的最重要因子,单一的S能分别解释34%的EC_(10)变异,K~+解释26%的EC_(50)变化。本研究结果可为陆地环境中水溶性Cu的风险评价提供基础。     

我国土壤中重金属铜的生物配体模型的建立与应用

关于重金属污染的风险评价及其预测模型日益成为环境领域的研究热点。近年来,一种用于预测和评价环境中重金属生物毒性的机理性模型一生物配体模型(BLM)被广泛应用于水体及陆地生态系统。本研究以我国土壤的陆地生物配体模型(TBLM)建构为目标,以土壤溶液系统为媒介,通过17种土壤上重金属铜离子与大麦根长的相互作用关系,发现了土壤中Cu-TBLM的主要影响因素为Cu~(2+)、CuOH~+、Mg~(2+)以及铜离子与大麦根系表面的专性结合能力。基于模型大麦根长预测值与实测值之间的相关关系,通过数学拟合功能求得TBLM中各参数值为logK_(CuBL)=4.87、logK_(CuOH)+=7.62、logK_(MgBL)=1.91、f~(50%)=0.103、β=1.09。本研究所得到的TBLM模型能很好地预测我国土壤中铜对大麦根长的毒害程度,预测值与实测值的相关性达到了90%。本研究结果不仅可以为我们降低重金属离子生物有效性提供有力的理论借鉴,更对我国土壤环境质量保护和长期良性可持续发展具有重要意义。文160余篇。     

土壤铜植物毒害的不同评价终点和室内外测定差别研究

本论文对山东陵县、湖南祁阳和浙江嘉兴3种性质差异较大的土壤上进行的室内外的土壤外源铜(Cu)的植物毒性试验结果进行了比较。结果发现3种室内评价终点(大麦根长、西红柿和小白菜苗期生物量)和田间植物(玉米、小麦、水稻和油菜产量)对土壤中Cu毒性的敏感性存在较大的差异。大麦根伸长和小白菜生物量法高估了土壤中Cu对田间小麦、玉米和水稻产量的毒害,而室内西红柿生物量法则低估了土壤中Cu对田间小麦、玉米和水稻产量的毒害。小白菜和田间油菜的敏感性接近,可以用室内小白菜苗期生物量作为土壤中Cu对田间油菜产量毒性评价的植物。当采用相同植物比较时,陵县小麦、祁阳玉米和嘉兴油菜的室内苗期值可以作为土壤Cu对相同田间植物产量的毒害作用(EC_(10))的评价指标。但是,室内苗期毒害指标会低估Cu对田间祁阳小麦和高估嘉兴水稻的毒害作用,说明土壤Cu植物毒害室内外测定的差别受土壤和植物的影响。     

农用污泥中铜的生态安全阈值研究

本论文采用污泥和土壤外源铜的活性差异系数法研究了农用污泥中铜的生态安全阈值。首先通过比较确定不同土壤条件下污泥中铜和水溶性铜的活性差异的系数,然后利用系数法得到相应土壤条件下污泥铜HC5值(即能够保护95%物种的浓度),并建立了土壤理化性质参数与污泥铜HC5值的量化关系和预测模型。最后与我国现行污泥农用标准值进行了比较,提出了修改建议。结果表明,土壤中来源污泥的铜活性均值约为来源水溶性盐的40%左右。土壤阳离子交换量(CEC)是影响土壤中污泥源铜的毒性的主控因子,可影响污泥铜HC5值变异的84.6%,而土壤pH值和有机碳含量(OC)分别可影响污泥铜HC5值变异的8.4%和1.8%。基于土壤pH、OC和CEC的三因子模型进行预测优于基于土壤pH和CEC的两因子模型,其相关性达到94.8%。与模型预测值相比,我国现行污泥农用标准GB4284-84与CJ/T309-2009中对铜限值的规定均存在着不同程度的保护不足或保护过度问题。     

西红柿镍毒害的土壤主控因子和预测模型研究

选取我国有代表性的17种土壤,运用生态毒理学方法研究了土壤中外源镍(Ni)对西红柿的毒性,结果发现土壤中外源Ni对西红柿的生长毒性主要受土壤pH值、有机碳含量的影响.在供试淋洗(使用模拟的人工雨水滤洗定量的土壤样品)和非淋洗土壤中,Ni对西红柿生物量50%抑制的毒性阈值(EC50)范围分别从11mg·kg-1到932mg·kg-1和从7mg·kg-1到2055mg·kg-1,其最大值和最小值比例分别达到了85和294倍.土壤pH值是土壤中Ni对西红柿生长毒性的主控因子,进一步引入土壤有机碳因子时,淋洗和非淋洗土壤理化性质和EC50之间回归方程的决定系数R2由0.853和0.743分别提高到了0.925和0.824.利用土壤性状(土壤pH值、有机碳含量)可以较好地预测土壤中外源Ni对西红柿生长的毒性阈值.     

土壤理化性质对外源六价铬植物毒性的影响

以我国11种具有代表性的土壤为研究对象,通过外源添加Cr(Ⅵ)进行大麦根伸长毒性测试,以了解土壤理化性质对Cr(Ⅵ)的大麦毒性阈值包括半数效应抑制浓度(EC50)和10％效应抑制浓度(EC10)的影响.结果表明,土壤理化性质对Cr(Ⅵ)的植物毒性有显著影响,通过对数-对数剂量效应模型和刺激效应模型预测EC50值和EC10值,其变化范围分别为8.27～241.34 mg·kg-1和2.87～124.65 mg·kg-1,其最大值和最小值相差分别达到了29.2倍和43.4倍.相关分析结果表明,铁、铝氧化物含量、pH值和有机碳含量与Cr(Ⅵ)对大麦根伸长的毒性阈值相关关系显著(P<0.05),其中,铝氧化物含量和铁氧化物含量分别为控制EC50和EC10最重要的单一因子(R2=0.448、R2=0.429),其次为pH值和有机碳含量.基于相关性因子和Cr(Ⅵ)对大麦的毒性阈值建立了一元和多元线性回归方程,最优方程可以分别解释70.1％的EC50和60.4％的EC10变异,表明利用土壤理化性质建立的模型可以较好地预测土壤外源Cr(Ⅵ)对大麦的毒性阈值.     

铜-磺胺嘧啶复合胁迫对蔬菜种子发芽的急性毒性效应

研究了黄潮土中常用兽药磺胺嘧啶(SD)与重金属铜(Cu)单一及复合污染对小白菜和西红柿种子发芽(发芽率、根伸长、芽伸长)的影响,分析了土壤中药物浓度与作物生长抑制的剂量-效应关系及复合污染的毒性效应。结果表明,无论是在Cu或SD单一污染物作用下,根伸长和芽伸长抑制率与污染物浓度显著相关(P0.01),发芽抑制率与污染物浓度不相关(P0.05);污染物对根伸长及芽伸长的抑制高于对种子发芽的抑制;SD对2种作物的毒性效应明显强于Cu,SD对小白菜和西红柿根伸长的ID50(抑制率为50%时污染物浓度)分别为1.7和33.6 mg·kg~(-1),而Cu为273.6和457.7 mg·kg~(-1)。Cu-SD复合污染,对西红柿的根和芽伸长的拮抗作用显著(P0.01);但对小白菜来说,在低浓度Cu(100 mg·kg~(-1))作用下,二者的联合拮抗作用不显著(P0.05),随Cu的增加,拮抗作用显著(P0.01)。     

基于Elman神经网络的阿拉善荒漠啮齿动物群落组成物种数量预测研究

群落的数量变动及预测是生态学研究的重要内容,将神经网络技术应用到啮齿动物群落数量预测中是一种新尝试。Elman神经网络通过在前馈网络中增加延时算子,实现了记忆功能,能够对啮齿动物组成物种数量进行动态模拟和预测。以腾格里沙漠东缘荒漠为试验区,以啮齿动物数量为研究对象,采用标志重捕法,逐月监测2006─2014年每年的4─10月捕获量,建立Elman神经网络预测模型,利用2006─2013年的捕获量建立训练网络,以2014年的数据进行验证与测试,比较3种数据处理方法建立预测模型后的平均误差和拟合度,确立最优模型,预测阿拉善荒漠啮齿动物组成物种数量动态。结果表明:(1)未经归一化处理预测结果的平均误差mse为5.30,最小误差1.52%,拟合度为0.80;(2)经[0,1]归一化处理的预测结果平均误差mse为4.51,最小误差1.54%,拟合度为0.82;(3)经[-1,1]归一化处理预测结果的平均误差mse为5.03,最小误差1.63%,拟合度为0.69;(4)3种归一化处理后Elman神经网络模型差异不显著。通过平均误差和拟合度的比较,文章认为采用[0,1]归一化建立的Elman神经网络能较好的预测荒漠啮齿动物数量的变化规律,应用该网络可以预测阿拉善荒漠啮齿动物组成物种数量变化趋势,对指导当地鼠情监控和防治具有重要意义。     

海河流域沉积物中典型重金属的生态风险评估及验证

沉积物重金属污染及其生态风险评估日益受到关注,而沉积物质量基准是开展生态风险评估的有力工具。本研究通过物种敏感度分布法(species sensitivity distributions, SSD)和急慢性毒性比(acute to chronic ratios, ACR)推导了镍、铜、锌、镉和铅的沉积物质量基准(sediment quality guideline, SQG)。在获得合理的重金属沉积物慢性毒性数据的基础上,采用S-Logistic模型拟合镍、铜、镉和铅的慢性SSD曲线,采用S-Gompertz模型拟合锌的慢性SSD曲线。得到镍、铜、锌、镉和铅沉积物质量基准低值(sediment quality guideline low value, SQGlow)分别为18.6、69.9、107、1.26和38.4 mg·kg~(-1),应用ACRs,得到相应的沉积物质量基准高值(sediment quality guideline high value, SQGhigh)分别为167、226、556、10.1和384 mg·kg~(-1)。与加拿大和澳大利亚重金属沉积物基准值具有一定的可比性。选择花翅摇蚊(Chironomus kiiensis)、伸展摇蚊(Chironomus tentans)和霍甫水丝蚓(Limnodrilus hoffmeisteri)3种底栖生物作为受试生物,验证基准值对海河流域沉积物重金属毒性的预测能力。结果表明,利用SQGs预测沉积物毒性的总准确率为76.2%,3种底栖生物验证准确率从高至低为:花翅摇蚊>伸展摇蚊>霍甫水丝蚓。     

铜和镍对大麦根伸长的联合毒性研究

重金属的复合污染在环境污染中普遍存在,所以复合污染的联合毒性研究对于准确评价重金属污染有着重要的意义.本论文以大麦根伸长为研究对象,探索了铜(Cu)和镍(Ni)对大麦根伸长的联合毒性.基于Cu-Ni混合物的剂量-效应曲线,运用扩展的浓度加和(CA)与独立作用(RA)两个模型对不同浓度组合的Cu-Ni混合物的交互作用及联合毒性进行预测.结果表明,扩展的CA和RA模型均能较好地预测Cu-Ni混合物对大麦根伸长的联合毒性,低剂量的Ni能缓解Cu对大麦根伸长的毒性作用,但是低剂量的Cu对Ni的生物毒性没有显著影响.研究阐明了Cu、Ni复合作用对大麦根伸长联合毒性的效应机理.     

土壤重金属复合污染对作物的影响

本文采用盆栽试验，研究了石灰性土壤中铜、镍、铅、锌复合污染对大豆和水稻的影响，并讨论了离子冲量在表征复合污染的综合效应及污染金属总量控制中的应用。结果表明：对于水稻，共存元素协同使产量降低，它们的影响顺序是：铜＞锌＞镍＞铅；对于大豆，铜、铅、锌的存在降低了镍的毒性，影响顺序了：铜＞铅＞锌＞镍。供试元素在作物体内的累积、分布和迁移除了受到本身性质和添加量影响外，还受到元素相互作用的影响，后者的影响很     

Mathematische Modelle zur Effektabschätzung

The extrapolation from single-species toxicity data to ecosystem thresholds is one of the principal problems in ecological risk assessment. The common statistical methods are briefly presented prior to a brief trial application of simulation models. A method for calculating ecosystem thresholds for different end points using Monte-Carlo simulations is applied to a data set of eight substances and subsequently compared with statistical approaches. Finally, a comparison of the pros and cons of such simulation models for extrapolation is presented.     

Heavy metals,occurrence and toxicity for plants: a review

Metal contamination issues are becoming increasingly common in India and elsewhere, with many documented cases of metal toxicity in mining industries, foundries, smelters, coal-burning power plants and agriculture. Heavy metals, such as cadmium, copper, lead, chromium and mercury are major environmental pollutants, particularly in areas with high anthropogenic pressure. Heavy metal accumulation in soils is of concern in agricultural production due to the adverse effects on food safety and marketability, crop growth due to phytotoxicity, and environmental health of soil organisms. The influence of plants and their metabolic activities affects the geological and biological redistribution of heavy metals through pollution of the air, water and soil. This article details the range of heavy metals, their occurrence and toxicity for plants. Metal toxicity has high impact and relevance to plants and consequently it affects the ecosystem, where the plants form an integral component. Plants growing in metal-polluted sites exhibit altered metabolism, growth reduction, lower biomass production and metal accumulation. Various physiological and biochemical processes in plants are affected by metals. The contemporary investigations into toxicity and tolerance in metal-stressed plants are prompted by the growing metal pollution in the environment. A few metals, including copper, manganese, cobalt, zinc and chromium are, however, essential to plant metabolism in trace amounts. It is only when metals are present in bioavailable forms and at excessive levels, they have the potential to become toxic to plants. This review focuses mainly on zinc, cadmium, copper, mercury, chromium, lead, arsenic, cobalt, nickel, manganese and iron.     

Schwermetalle in Regenwürmern Baden-Württembergs

Goal and Scope

The heavy metal burden of the soil and of earthworms from representative long-term forest observation plots has been measured since 1984 as one component of the media-embracing environmental monitoring network of the State of Baden-Wuerttemberg. These investigations are aimed at elucidating and assessing adverse effects of pollutants on the soil biocenosis

Methods

So-called characteristic curves for the metals Cd, Cu, Ni, Pb, and Zn were developed for the assessment. Earthworm toxicity data and background values in soil served as criteria. This procedure facilitates a comparative assessment of different pollutants. The mobility of the metals, which greatly influences their bioavailability and toxicity, was taken into account for the effects assessment.

Results and Conclusion

Besides inventorying the heavy metals (Part 1), the question of threshold values for toxic reactions as well as for accumulation was raised. The metal concentrations were assessed in the soil with regard to its habitat function. The ecotoxicological assessment revealed that the heavy metal burden of the investigated plots lies within the background- or precautionary range, well below the screening value established here to indicate the effect threshold in earthworms. This result means that a pollution of the forest observation plots with the metals cadmium, copper, lead, nickel, and zinc is low or absent. Only the distribution of the lead content is centered slightly above background (but clearly below the toxicity threshold). This slight lead burden of the soil of the observation plots can be explained by emissions from motor vehicles. Investigations at sites that are contaminated with either chromium or copper or cadmium showed that an accumulation of these metals in the body of the worms can be observed only above a threshold concentration of several hundred micrograms of mobile metal per kilogram in the upper layer of the soil.

Recommendations and Perspectives

The hitherto unknown threshold values for the accumulation in the body of the earthworm should be statistically validated and extended to other elements. Further research is needed in order to build a well founded basis for the ecotoxicological assessment of soil pollution. Acute and chronic earthworm effect thresholds are neither available yet for arsenic, cobalt, and mercury nor for some other elements occurring less frequently as soil pollutants. Background values depending on the kind of rock have been measured so far for total chromium only. They are lacking for the more toxic chromium (VI) which is a frequent soil pollutant but naturally occurs in traces only.     

17α-Ethinylestradiol in Lakes of Hanoi and its effect on seed germination

Abstract

The lakes of Hanoi are important water resources for urban agriculture. The concentrations of 17α-ethinylestradiol in the water of three major lakes were found to range from 0.1 to 9.1?ng/L, peaking during the rainy season. Effects at levels from 1?ng/L to 1?µg/L on the germination of mung bean (Vigna radiata) and bok choy (Brassica rapa) were studied. Soaking the seeds in solutions containing 17α-ethinylestradiol at 10?ng/L and higher increased the germination rate of mung bean but not of bok choy. For the latter, irrigation after sowing with solutions containing 17α-ethinylestradiol at 10?ng/L and higher accelerated germination.

Abbreviations: MNRE: Ministry of Natural Resources and Environment; PE₆₀: Population equivalent; USGS: U.S. Geological Survey; SPE: Solid phase extraction; EDTA: Disodium ethylenediaminetetraacetate; HPLC: High performance liquid chromatography; ELISA: Enzyme-linked immunosorbent assay; DOM: Dissolved organic matter; EEQ: Estradiol equivalent     

铝毒在不同作物上的差异及温度的影响

采用水培法研究了作物耐铝性差异及温度对作物铝毒的效应，结果表明，铝首先伤害根生长，抑制作物对养分的吸收和利用，其中对大麦和蕃茄的危害尤为明显，并导致出现缺素症。耐铝能力为水稻＞大豆＞大麦＞蕃茄，而它们的耐铝机理不完全相同。铝对作物的毒害因温度而异，作物在其最适生长温度范围内受铝伤害最明显。作物体内的铝含量有随铝处理浓度增高而增加的趋势，并明显受温度的影响。