多种环境雌激素对淡水鱼联合毒性作用的预测和评价

为预测和评价多种环境激素对生物的联合毒性效应,通过对雄性鲫鱼卵黄蛋白原诱导作用探讨了17β-雌二醇、17α-乙炔基雌二醇、双酚A、辛基苯酚等几种环境雌激素联合作用的环境影响.确定了每种化合物的剂量-效应曲线,混合物由单个化合物等毒性固定浓度比例混合而成,实验得出的混合物效应与通过浓度相加或反应相加作用模型计算得出的混合物效应比较.结果有很好的一致性.上述结果证明了类雌激素化合物呈现相加作用方式,即使在单独作用无显著效应的较低浓度下也可产生显著的混合物效应,混合物效应可通过两类模型预测.由于环境污染物组成往往不明确,通过浓度相加作用模型预测的结果较为保守,在环境风险评价中更加实用.     

渗滤液灌溉土壤N_2O释放及氨挥发的研究

选用2种供试土壤(S1和S2),通过培养试验研究了渗滤液投加土壤后N2O释放、氨挥发及矿物氮的转化,并讨论了土壤理化性质对上述过程的影响.土壤pH值较大程度地决定了氨的挥发,仅投加渗滤液的碱性土S1在培养期的前5 d内测到氨挥发,通过氨挥发共损失了约3.0‰的渗滤液氮.投加同等含量的渗滤液后,不同土壤可导致N2O释放量近20倍的差异(P<0.01).土壤含水率(WFPS)影响了土壤中硝酸盐氮的生成速率,从而制约了N2O释放通量的高低.与WFPS为46%时相比,投加蒸馏水的土壤S1、投加渗滤液的土壤S1和土壤S2在WFPS为70%的条件下N2O的释放通量均值分别提高了6.5(P>0.05)、1.8(P>0.05)和2.2倍(P<0.05).渗滤液投加土壤在10 d培养期内,土壤S1和S2因N2O释放分别损失了41.1‰和2.3‰的渗滤液氮.为此,控制灌溉土壤的含水率(<70%WFPS),并选用酸性土壤可有效地控制渗滤液灌溉下N20的释放和氨挥发.     

Effect of N and P addition on soil organic C potential mineralization in forest soils in South China

Atmospheric nitrogen deposition is at a high level in some forests of South China. The effects of addition of exogenous N and P on soil organic carbon mineralization were studied to address: (1) if the atmospheric N deposition promotes soil C storage through decreasing mineralization; (2) if the soil available P is a limitation to organic carbon mineralization. Soils (0-10 cm) was sampled from monsoon evergreen broad-leaved forest (MEBF), coniferous and broad-leaved mixed forest (CBMF), and Pinus massoniana...     

氮添加和地下水位交互作用对通江湖泊湿生植物陌上菅生长的影响

研究地下水位变化和氮沉降对植物功能性状的影响,有助于揭示植物对环境变化的响应和适应规律.采用原位试验的方法,选择不同地下水位梯度〔低水位（-75 cm）、中水位（-69 cm）、高水位（-39 cm）〕和氮添加〔缺氮处理（430 g/m2）、空白对照（0 g/m2）、低氮（4.32 g/m2）、中氮（8.64 g/m2）、高氮（17.28 g/m2）〕（其中缺氮处理添加量以碳元素含量计,其余处理以氮元素含量计）,研究升金湖消落带湿地物种丰富度、陌上菅（Carex thunbergii）地上生物量和根系形态学指标对地下水位和氮添加的响应.结果表明:①双因素方差分析显示,地下水位主要影响物种丰富度、陌上菅地上生物量和根系形态学指标;氮添加主要影响土壤养分含量和陌上菅比根长、根比表面积及根组织密度;地下水位和氮添加的交互作用对陌上菅比根长和根平均直径影响显著（P < 0.05）;相对而言,水位对陌上菅的影响大于氮添加.②地下水位对陌上菅地上生物量和根系形态学指标有显著影响.地下水位升高会降低陌上菅地上生物量、根系比根长和根组织密度,同时增加其根平均直径和根比表面积,且不同处理间差异显著（P < 0.05）.在空白对照处理下,相比于低水位,高水位下陌上菅地上生物量、比根长和根组织密度分别降低了97.6%、46.1%、86.1%,根平均直径和根比表面积分别增加了326.1%、198.5%.③氮添加主要影响陌上菅根系形态学指标.随着施氮水平的增加,陌上菅比根长和根比表面积呈现先减后增的趋势,根组织密度呈现先增后减的趋势.在高水位条件下,相比于空白对照,低氮处理下陌上菅比根长和根比表面积分别减少了36.1%、41.8%,陌上菅根组织密度增加了182.4%,且差异显著（P < 0.05）.研究显示,地下水位升高与氮添加对陌上菅地上生物量和陌上菅比根长的影响呈相互抵消的态势,这体现了土壤水分增加对陌上菅生长的胁迫作用;水位升高和氮添加对根比表面积和根组织密度的影响表现为协同效应,揭示了在水位胁迫条件下陌上菅对养分获取策略的变化.      

冬季太湖草、藻型湖区N2O的生成与排放特征

对太湖典型草（包括沉水植物及挺水植物湖区）、藻型湖区水-气界面N₂O排放通量、水柱溶存浓度、泥-水界面通量以及3个湖区的水柱及沉积物理化性质进行了原位观测及实验室分析研究,并针对影响N₂O生成与排放的主要环境因子进行了室内的微环境模拟试验.研究结果表明：水-气界面N₂O释放通量及泥-水界面N₂O释放通量为藻型湖区 > 沉水植物湖区 > 挺水植物湖区（（123.10±11.43）μg/（m²·h）,（79.19±4.90）μg/（m²·h）,（53.45±4.22）μg/（m²·h）和（29.60±0.20）μmol/（m²·h）,（10.89±1.66）μmol/（m²·h）,（3.83±0.30）μmol/（m²·h））;水体溶存N₂O浓度均为藻型湖区 > 挺水植物湖区 > 沉水植物湖区（（0.0247±0.0003）μmol/L,（0.0236±0.0003）μmol/L,（0.0219±0.0001）μmol/L）;室内微环境实验结果表明：冬季升高温度能够显著地提高N₂O的生成潜力,高盐度对3种生态类型湖区沉积物N₂O的生成速率总体表现出抑制作用,藻型湖区及挺水植物湖区沉积物N₂O释放潜力在添加Cl^-组明显高于控制组,氮盐度过高会抑制沉积物N₂O产生,而沉水植物湖区沉积物N₂O产生受到抑制;随添加NH+4-N和NO-3-N等营养盐浓度升高,藻型湖区及沉水植物湖区沉积物中N₂O生成速率增加,挺水植物湖区N₂O生成速率降低,而乙酸盐作为微生物活动的碳源和能源对N₂O生成表现出抑制作用.冬季太湖典型草、藻型湖区N₂O排放存在显著差异,冬季草/藻型湖区N2O生成主要受冬季低温的限制,另外也受水柱无机氮形态及浓度的影响.     

添加物对填埋场稳定化时间的影响

在垃圾中添加ＫＣｌ、ＫＨ２ＰＯ４、（ＮＨ４）２ＣＯ３，ＦｅＣｌ２时，对垃圾降解和填埋场稳定化时间的缩短有促进作用，而ＣｕＳＯ４、Ｋ２Ｃ４２Ｏ７、Ｎａ２ＭｏＯ４、Ｎａ２ＷＯ４、醋酸的加入则抑制了垃圾的降解，认为ＫＣｌ是促进垃圾降解，加速填埋场稳定化的最佳添加物。     

Qualitative and quantitative assessment of the risk from the exposure to fetotoxic chemical compounds

A new mathematical dose-response model for the expected probability of toxic response and also for the expected measure of the overdispersion parameter for the reproductive and developmental risk assessment is proposed. The model for the expected probability of toxic response is an improvised Weibull dose-response model incorporating the litter-size effect while the model for the overdispersion parameter is a polynomial function of the dose level. A beta-binomial distribution for the number of offspring showing toxic responses in a litter satisfactorily accounts for the extra-binomial variation and the intralitter correlation of responses of these pups. Confidence limits for low-dose extrapolation are based on the asymptotic distribution of the likelihood ratio. The safe dose for human exposure is then calculated by simple linear extrapolation. The model for overdispersion allows us to obtain the estimates of the overdispersion parameter at these dosages. This was not possible in the earlier models. The proposed model is illustrated by an application to a study on the effect of exposure to diethylhexylphthalate in mice. The results are compared with those obtained by Chen and Kodell (1989) who have applied the simple Weibull dose-response model to the same data set.This paper was prepared with partial support from the United States Environmental Protection Agency under a Cooperative Agreement Number CR-815273. The contents have not been subject to Agency review and therefore do not necessarily reflect the views or policies of the Agency and no official endorsement should be inferred.     

Continuous dose-response modeling and risk analysis with the gamma and reciprocal gamma distributions

Kodell and West (1993) describe two methods for calculating pointwise upper confidence limits on the risk function with normally distributed responses and using a certain definition of adverse quantitative effect. But Banga et al. (2000) have shown that these normal theory methods break down when applied to skew data. We accordingly develop a risk analysis model and associated likelihood-based methodology when the response follows either a gamma or reciprocal gamma distribution. The model supposes that the shape (index) parameter k of the response distribution is held fixed while the logarithm of the scale parameter is a linear model in terms of the dose level. Existence and uniqueness of the maximum likelihood estimates is established. Asymptotic likelihood-based upper and lower confidence limits on the risk are solutions of the Lagrange equations associated with a constrained optimization problem. Starting values for an iterative solution are obtained by replacing the Lagrange equations by the lowest order terms in their asymptotic expansions. Three methods are then compared for calculating confidence limits on the risk: (i) the aforementioned starting values (LRAL method), (ii) full iterative solution of the Lagrange equations (LREL method), and (iii) bounds obtained using approximate normality of the maximum likelihood estimates with standard errors derived from the information matrix (MLE method). Simulation is used to assess coverage probabilities for the resulting upper confidence limits when the log of the scale parameter is quadratic in the dose level. Results indicate that coverage for the MLE method can be off by as much as 15% points and converges very slowly to nominal coverage levels as the sample size increases. Coverage for the LRAL and LREL methods, on the other hand, is close to nominal levels unless (a) the sample size is small, say N < 25, (b) the index parameter is small, say k 1, and (c) the direction of adversity is to the left for the gamma distribution or to the right for the reciprocal gamma distribution.     

Multiplicity-adjusted Inferences in Risk Assessment: Benchmark Analysis with Continuous Response Data

We develop and study multiplicity adjustments for low-dose inferences in environmental risk assessment. Application is intended for risk analysis studies where human, animal, or ecological data are used to set safe levels of a hazardous environmental agent. A modern method for making inferences in this setting is known as benchmark analysis, where attention centers on the dose at which a fixed benchmark level of risk is achieved. Both upper confidence limits on the risk and lower confidence limits on the “benchmark dose” are of interest. In practice, a number of possible benchmark risks may be under study; if so, corrections must be applied to adjust the limits for multiplicity. In this note, we discuss approaches for doing so with continuous, nonquantal response data.     

Experimental and modeling investigations on the unexpected hydrogen sulfide rebound in a sewer receiving nitrate addition: Mechanism and solution

Biogenic hydrogen sulfide is an odorous, toxic and corrosive gas released from sewage in sewers. To control sulfide generation and emission, nitrate is extensively applied in sewer systems for decades. However, the unexpected sulfide rebound after nitrate addition is being questioned in recent studies. Possible reasons for the sulfide rebounds have been studied, but the mechanism is still unclear, so the countermeasure is not yet proposed. In this study, a lab-scale sewer system was developed for investigating the unexpected sulfide rebounds via the traditional strategy of nitrate addition during 195-days of operation. It was observed that the sulfide pollution was even severe in a sewer receiving nitrate addition. The mechanism for the sulfide rebound can be differentiated into short-term and long-term effects based on the dominant contribution. The accumulation of intermediate elemental sulfur in biofilm resulted in a rapid sulfide rebound via the high-rate sulfur reduction after the depletion of nitrate in a short period. The presence of nitrate in sewer promoted the microorganism proliferation in biofilm, increased the biofilm thickness, re-shaped the microbial community and enhanced biological denitrification and sulfur production, which further weakened the effect of nitrate on sulfide control during the long-term operation. An optimized biofilm-initiated sewer process model demonstrated that neither the intermittent nitrate addition nor the continuous nitrate addition was a sustainable strategy for the sulfide control. To minimize the negative impact from sulfide rebounds, a (bi)monthly routine maintenance (e.g., hydraulic flushing with nitrate spike) to remove the proliferative microorganism in biofilm is necessary.