水环境中4-叔辛基苯酚的污染现状与生态风险评估

4-叔辛基苯酚是一种具有内分泌干扰效应的有机污染物,已广泛存在于环境介质中,有必要关注其生态风险。本文依据2010年以来4-叔辛基苯酚在我国8个湖库、11条主要河流、9个城市市内河流、污水处理厂进出水以及近海的水体和沉积物的环境暴露浓度数据,以及4-叔辛基苯酚的急慢性毒性数据。采用物种敏感性分布法(species sensitivity distribution, SSD)估算了4-叔辛基苯酚淡水、海水以及沉积物的预测无效应浓度(predicted no effect concentration, PNEC),并采用商值法对其进行了生态风险评估。结果表明,长江水系、珠江水系中4条河流地表水部分点位生态风险高,且珠江水系的风险相对较高;9个城市中的上海、广州、宁波、济南、太原和东莞6个城市河流部分点位生态风险较高;28个淡水地表水点位中,高生态风险占比为35.7%。10处有浓度数据报道的淡水沉积物中,9处为低风险,1处为中风险,海水及海洋沉积物均为低风险,4-叔辛基苯酚对我国淡水环境的影响应该引起重视。     

代表性鲤科鱼类青鱼的物种敏感性评价

物种敏感性评价是水质基准研究的重要内容.青鱼是我国典型淡水底栖鲤科鱼类.搜集和筛选了水体代表性污染物毒死蜱、苯并[a]芘、荧蒽和三价砷对青鱼的毒性数据,并开展了这4种污染物对青鱼的急性毒性实验,评价青鱼的物种敏感性.结果表明:(1)毒死蜱、苯并[a]芘、荧蒽和三价砷对青鱼96 h的半致死浓度(LC50)分别为031、0.011、7.00和0.87 mg·L-1;4种污染物对青鱼幼稚鱼均属于中高毒性,青鱼幼稚鱼敏感性整体上高于国际标准测试物种斑马鱼,说明青鱼幼稚鱼可能是较为灵敏的受试生物;(2)青鱼对各类污染物敏感性具有显著差异,对三价砷非常敏感,物种累积频率为8％,在无机砷的水质基准研究中值得关注;(3)在鱼类敏感性排序中,鲤科和鲑科鱼类对各种污染物较为敏感,青鱼作为典型底栖鲤科鱼类,在水质基准和生态风险评估研究中应给予更多关注.     

Less attention paid to waterborne SARS-CoV-2 spreading in Beijing urban communities

• A survey on individual’s perception of SARS-CoV-2 transmission was conducted. • Waterborne transmission risks are far less perceived by individuals. • Precautions of preventing wastewater mediated transmission are implemented. • The precautions for wastewater transmission are less favored by the public. • Education level differs the most regarding to waterborne transmission perception. SARS-CoV-2 has been detected in various environmental media. Community and individual-engaged precautions are recommended to stop or slow environmentally-mediated transmission. To better understand the individual’s awareness of and precaution to environmental dissemination of SARS-CoV-2, an online survey was conducted in Beijing during March 14–25, 2020. It is found that the waterborne (especially wastewater mediated) spreading routes are far less perceived by urban communities. The precautions for wastewater transmission are less favored by the public than airborne and solid waste mediated spreading routes. Such risk communication asymmetry in waterborne transmission will be further enlarged in places with fragile water system. Furthermore, education level is the most significant attribution (Sig.<0.05) that causes the difference of awareness and precautions of the waterborne transmission among the respondents, according to the variance analysis results. Our survey results emphasize the urgent need for evidence-based, multifactorial precautions for current and future outbreaks of COVID-19.     

A new prediction method of industrial atmospheric pollutant emission intensity based on pollutant emission standard quantification

● Established a quantification method of pollutant emission standard. ● Predicted the SO₂ emission intensity of single coking enterprises in China. ● Evaluated the influence of pollutant discharge standard on prediction accuracy. ● Analyzed the SO₂ emissions of Chinese provincial and municipal coking enterprises. Industrial emissions are the main source of atmospheric pollutants in China. Accurate and reasonable prediction of the emission of atmospheric pollutants from single enterprise can determine the exact source of atmospheric pollutants and control atmospheric pollution precisely. Based on China’s coking enterprises in 2020, we proposed a quantitative method for pollutant emission standards and introduced the quantification results of pollutant emission standards (QRPES) into the construction of support vector regression (SVR) and random forest regression (RFR) prediction methods for SO₂ emission of coking enterprises in China. The results show that, affected by the types of coke ovens and regions, China’s current coking enterprises have implemented a total of 21 emission standards, with marked differences. After adding QRPES, it was found that the root mean squared error (RMSE) of SVR and RFR decreased from 0.055 kt/a and 0.059 kt/a to 0.045 kt/a and 0.039 kt/a, and theR² increased from 0.890 and 0.881 to 0.926 and 0.945, respectively. This shows that the QRPES can greatly improve the prediction accuracy, and the SO₂ emissions of each enterprise are highly correlated with the strictness of standards. The predicted result shows that 45% of SO₂ emissions from Chinese coking enterprises are concentrated in Shanxi, Shaanxi and Hebei provinces in central China. The method created in this paper fills in the blank of forecasting method of air pollutant emission intensity of single enterprise and is of great help to the accurate control of air pollutants.     

Product identification and toxicity change during oxidation of methotrexate by ferrate and permanganate in water

• Oxidation of methotrexate by high-valent metal-oxo species was first explored. • Fe(VI) presented a higher reactivity to MTX than Mn(VII) at pH 8.0. • Ketonization and cleavage of peptide bond were two initial reaction pathways. • Products of MTX were not genotoxic, neurotoxic, or endocrine-disrupting chemicals. • The less biodegradable products exhibited developmental and acute/chronic toxicity. Accompanying an annual increase in cancer incidence, the global use of anticancer drugs has remarkably increased with their worldwide environmental prevalence and ecological risks. In this study, the oxidation of methotrexate (MTX), a typical anticancer drug with ubiquitous occurrence and multi-endpoint toxicity, by ferrate(VI) (Fe(VI)) and permanganate (Mn(VII))) was investigated in water. Fe(VI) exhibited a higher reactivity with MTX (93.34 M⁻¹ s⁻¹) than Mn(VII) (3.01 M⁻¹ s⁻¹) at pH 8.0. The introduction of Cu(II) and Fe(III) at 1.0 mM improved the removal efficiency of 5.0 μM MTX by 100.0 μM Fe(VI) from 80% to 95% and 100% after 4 min, respectively. Seven oxidized products (OPs) were identified during oxidative treatments, while OP-191 and OP-205 were characterized as specific products for Fe(VI) oxidation. Initial ketonization of the L-glutamic acid moiety and cleavage of the peptide bond of MTX were proposed. Additionally, a multi-endpoint toxicity evaluation indicated no genotoxicity, neurotoxicity, or endocrine-disrupting effects of MTX and its OPs. Particularly, serious developmental toxicity in zebrafish larvae was observed in the treated MTX solutions. Based on the acute and chronic aquatic toxicity prediction, OP-190, OP-192, OP-206, and OP-208 were deemed toxic or very toxic compared to harmful MTX. Furthermore, the reduced biodegradability index from 0.15 (MTX) to −0.5 to −0.2 (OP-192, OP-206, and OP-468) indicated the formation of lower biodegradable OPs. Overall, this study suggests that Fe(VI) and Mn(VII) oxidation are promising treatments for remediating anticancer drug-contaminated water. However, the environmental risks associated with these treatments should be considered in the evaluation of water safety.     

基于遥感的城市绿色空间时空动态演化效应研究综述

城市绿色空间减少产生的环境生态问题引起了国内外学者的关注.在梳理城市绿色空间的概念、提取方法的基础上阐述了城市绿色空间的动态演化效应的研究方法和绿色空间的作用功能,并总结了国内外研究热点和成果,分析国内外相关领域的薄弱环节,提出城市绿色空间演化效应研究的不足与展望.     

杉木-观光木人工混交林竞争及邻体干扰指数研究

将杉木和观光木人工混交林中林木竞争影响空间划分为内、外两圈,在此基础上将竞争指数分解为不同的邻体干扰指数,对象木生长量与3种干扰指数的回归分析表明,以杉木为对象木时,利用张大勇提出的干扰指数模型(Izdy)效果最好;以观光木为对象木时,利用Weiner提出的干扰指数模型(Iwg)效果最好.同时,竞争强度研究表明,杉木种内竞争>杉木观光种间竞争>观光木种内竞争.通过对几种竞争影响的划分比较,说明将竞争空间分为内、外两圈能较好地反应林木的竞争规律.表3参17     

湖北省土地利用减碳增效系统仿真及结构优化研究

土地利用变化是引起碳排放的重要原因之一,土地经济效益是利用土地的目标之一,如何通过优化土地利用结构实现土地利用减碳增效是值得研究的重要问题。基于系统结构与功能相互作用的视角,梳理复杂系统内变量间的反馈关系,运用系统动力学(SD)进行建模,将约束条件纳入到多目标规划(MOP)中,实现MOP与SD模型整合,进行系统仿真并得出优化后2020年湖北省土地利用结构。结果显示,利用SD-MOP模型能够实现减碳增效目标下土地利用结构优化,与2008年真实值相比,耕地、林地、牧草地及建设用地分别增加了0.33×10~4、30.17×10~4、0.08×10~4和16.37×10~4 hm~2,其他农用地及未利用地分别减少7.23×10~4、33.15×10~4 hm~2;与无约束SD单模型仿真相比,土地利用碳排放量减少了58×10~4 t,经济效益年增长率维持在3.58%,优化方案具有可行性。SD-MOP模型优化的土地利用结构符合区域可持续发展要求,兼顾了土地利用碳减排和经济效益增长的双重目标,能为区域土地资源优化配置提供参考。     

南方丘陵地区河谷城市用地时空演变与驱动分析——以上饶市城区为例

以揭示中国南方丘陵地区河谷城市的空间演变过程和特征为目的,以上饶市城区为例,在遥感与GIS技术的支持下,对1988~2013年间上饶市城区城市用地的时空演变过程、特征及驱动影响因素进行了研究。结果表明,1988~2013年的25 a间,上饶市城区城市用地呈现出快速增长的态势,城市形态的演变具有明显的时空特征:时间序列上,不论扩展幅度还是扩展速度,2001~2013年间的值均高于1988~2001年间的值,前后两个时段的扩展特征呈现出明显的差异性;空间格局上,上饶市城区以老城区的中心广场为中心向四周扩展,先后经历了放射性扩展、组团式分散扩展两个阶段,同时呈现出明显的方向分异性,西南和西为其主要扩展方向,而其东南方向的扩展速度最为缓慢。自然环境中的地貌对上饶市城区城市用地的扩展起到很大的限制作用,经济社会的发展、政策规划等因素成为城市用地扩张与时空演化的外在驱动因素。