Pharmacokinetics of [14C]-atrazine in rhesus monkeys,single-dose intravenous and oral administration

This is the first study regarding the pharmacokinetics of [¹⁴C]-atrazine conducted with rhesus monkeys. The animals received one dose (0.25 mg) intravenously (IV) or three doses (1, 10, or 100 mg) orally. Plasma, urine, and feces were collected at defined times up to 7 days post-dosing. Sample radioactivity was measured to determine the mass equivalent. IV administered [¹⁴C]-atrazine disappeared rapidly from blood, with an elimination half-life of about 5.5 ± 1.1 h. The pharmacokinetic profiles of [¹⁴C]-atrazine following oral administration at the three dose levels show that kinetic parameters such as AUC and C _max are linearly correlated with the dose. Seven days after dosing, urinary and fecal excretion of [¹⁴C]-atrazine reached 99% of total administered dose in the IV group and 91–95% in the three oral dose groups. In the IV-administered monkeys, approximately 85% of the dose was excreted in urine and 12% in feces. In three oral dose groups, urinary and fecal radioactivity recoveries approximated 57% and 21%, 58% and 25%, and 53% and 35%, respectively. More than 50% of the total urinary excreted radioactivity was found within the first 24 h after dosing. In conclusion, the principal elimination of [¹⁴C]-atrazine, IV and orally administered, is via urine. The oral bioavailability was 60% or higher. There was a significant linear correlation between administered oral dose and plasma concentration. Overall oral dose accountability ranged from 91% to 95%. Data generated may be useful in the risk assessment of human exposure to environmental atrazine contamination.     

放射性核素大气扩散数值模拟研究综述

放射性核素大气扩散模式可以模拟放射性核素在不同尺度下的大气输送与扩散,为核电站选址、核事故应急提供科学依据.本文总结了目前广泛用于模拟核素扩散的多种模式,详细比较了各模式对放射性核素的衰变、输送和扩散、干/湿沉降和重力沉降以及辐射剂量等处理方法,总结归纳各个模式模拟的差异性.最后,对放射性核素大气扩散模式发展前景做了展望.对有针对性地提高模式模拟能力以及明确模式的发展方向具有重要的意义.     

职业外照射个人累积剂量管理现状及对策——以四川省为例

职业外照射个人剂量检测是实现辐射防护目的的重要环节之一,为保障广大放射工作人员的健康权益与安全,严防职业性放射性疾病的发生,本文以四川省为例,通过电离辐射防护与辐射源安全标准及职业性外照射个人监测规范方法,提出了在职业外照射工作人员剂量管理工作存在的问题及相应的对策。     

What does ecological modelling model? A proposed classification of ecological niche models based on their underlying methods

Species distribution model is the term most frequently used in ecological modelling, but other authors used instead predictive habitat distribution model or species-habitat models. A consensual ecological modelling terminology that avoids misunderstandings and takes into account the ecological niche theory does not exist at present. Moreover, different studies differ in the type of niche that is represented by similar distribution models. I propose to use as standard ecological modelling terminology the terms “ecological niche”, “potential niche”, “realized niche” models (for modelling their respective niches), and “habitat suitability map” (for the output of the niche models). Therefore, the user can understand more easily that models always forecast species’ niche and relate more closely the different types of niche models.     

宝鸡市街道灰尘重金属污染的健康风险评价

对宝鸡市工业区、交通区和商业区等不同功能区所采集的街尘样品应用美国EPA人体暴露风险评价方法对灰尘重金属进行健康风险评价.结果表明,As、Hg、Pb、Cu、Zn、Cr、Co、Ni、Mn、V这10种重金属平均含量均高于陕西土壤背景值,其中Hg、Pb平均含量分别为陕西土壤背景值的37倍和20倍.健康风险评价表明,灰尘中10...     

A stochastic model for estimating sustainable limits to wildlife mortality in a changing world

Human-caused mortality of wildlife is a pervasive threat to biodiversity. Assessing the population-level impact of fisheries bycatch and other human-caused mortality of wildlife has typically relied upon deterministic methods. However, population declines are often accelerated by stochastic factors that are not accounted for in such conventional methods. Building on the widely applied potential biological removal (PBR) equation, we devised a new population modeling approach for estimating sustainable limits to human-caused mortality and applied it in a case study of bottlenose dolphins affected by capture in an Australian demersal otter trawl fishery. Our approach, termed sustainable anthropogenic mortality in stochastic environments (SAMSE), incorporates environmental and demographic stochasticity, including the dependency of offspring on their mothers. The SAMSE limit is the maximum number of individuals that can be removed without causing negative stochastic population growth. We calculated a PBR of 16.2 dolphins per year based on the best abundance estimate available. In contrast, the SAMSE model indicated that only 2.3–8.0 dolphins could be removed annually without causing a population decline in a stochastic environment. These results suggest that reported bycatch rates are unsustainable in the long term, unless reproductive rates are consistently higher than average. The difference between the deterministic PBR calculation and the SAMSE limits showed that deterministic approaches may underestimate the true impact of human-caused mortality of wildlife. This highlights the importance of integrating stochasticity when evaluating the impact of bycatch or other human-caused mortality on wildlife, such as hunting, lethal control measures, and wind turbine collisions. Although population viability analysis (PVA) has been used to evaluate the impact of human-caused mortality, SAMSE represents a novel PVA framework that incorporates stochasticity for estimating acceptable levels of human-caused mortality. It offers a broadly applicable, stochastic addition to the demographic toolbox to evaluate the impact of human-caused mortality on wildlife.     

泉州市电离辐射环境跟踪研究

2016—2020年在泉州市设置9个环境γ辐射空气吸收累积剂量监测点位、1个气溶胶（2018—2020年）、1个土壤和4个水体监测点位,定量分析电离辐射环境变化趋势。结果表明,5 a来泉州市电离辐射环境变化稳定,未出现异常情况;气溶胶中7Be、210Pb活度浓度呈现春秋高、夏季低的变化规律。     

太湖流域居民暴露于DDTs的健康风险评价

采用多介质环境数学模型,评价太湖流域居民暴露于DDTs的健康风险,分析风险来源、暴露介质及暴露途径,并结合蒙特卡罗方法分析研究过程中的不确定性. 结果表明,太湖流域居民中男性和女性对环境中DDTs的终身日平均暴露量分别为4.00×10－4～8.28×10－3和3.73×10－4～7.28×10－3 mg/(kg·d). 暴露途径中食物摄取是最主要途径,其次是吸入,皮肤暴露作用很小. 食物中贡献较大的为谷物、鱼类和肉类. 相应的男性和女性的健康风险度分别为0.114×10－6～2.366×10－6 和0.107×10－6～2.081×10－6 a－1,低于可接受健康风险度标准的累积概率分别为80.85%和86.05%.      

Confidence limits on one-stage model parameters in benchmark risk assessment

In modern environmental risk analysis, inferences are often desired on those low dose levels at which a fixed benchmark risk is achieved. In this paper, we study the use of confidence limits on parameters from a simple one-stage model of risk historically popular in benchmark analysis with quantal data. Based on these confidence bounds, we present methods for deriving upper confidence limits on extra risk and lower bounds on the benchmark dose. The methods are seen to extend automatically to the case where simultaneous inferences are desired at multiple doses. Monte Carlo evaluations explore characteristics of the parameter estimates and the confidence limits under this setting.

Bootstrap methods for simultaneous benchmark analysis with quantal response data

A primary objective in quantitative risk assessment is the characterization of risk which is defined to be the likelihood of an adverse effect caused by an environmental toxin or chemcial agent. In modern risk-benchmark analysis, attention centers on the “benchmark dose” at which a fixed benchmark level of risk is achieved, with a lower confidence limits on this dose being of primary interest. In practice, a range of benchmark risks may be under study, so that the individual lower confidence limits on benchmark dose must be corrected for simultaneity in order to maintain a specified overall level of confidence. For the case of quantal data, simultaneous methods have been constructed that appeal to the large sample normality of parameter estimates. The suitability of these methods for use with small sample sizes will be considered. A new bootstrap technique is proposed as an alternative to the large sample methodology. This technique is evaluated via a simulation study and examples from environmental toxicology.