BPA与3种双酚类化合物的联合作用雌激素效应

环境内分泌干扰物的联合作用已经是目前研究的重点.采用重组基因酵母检测法,分别测定了双酚A (BPA)、双酚AF(BPAF)、双酚AP(BPAP)、双酚F(BPF)4种双酚化合物的雌激素活性,并依据其测定结果,按照等效浓度比,设计了浓度比分别为EC₁₀和EC₅₀的6种二元混合物并测定了其雌激素活性.结果表明,这4种化合物的剂量-效应关系都可以用Weibull函数有效描述,BPA、BPAF、BPAP、BPF的EC₅₀值分别为：6.81×10^-6、7.44×10^-7、1.43×10^-5、7.52×10^-6 mol·L^-1,其雌激素活性大小顺序为：BPAF>BPA>BPF>BPAP.依据不同的联合作用判断方法对这4种化合物的联合效应进行判断,结果表明,相同化合物的不同混合比例可能对联合作用方式产生影响,采用DA和IA预测模型可以更加直观、方便地判断联合作用的类型,而且可以反映出不同混合比例对联合作用的影响.     

A~2/O-曝气生物滤池工艺处理低C/N比生活污水脱氮除磷

以低C/N比实际生活污水为研究对象,重点考查了A2/O-曝气生物滤池生化系统的脱氮除磷特性.同时,考虑到A2/O工艺的主要功能是除磷及反硝化,而曝气生物滤池则以硝化为目的.因此,通过缩短A2/O的泥龄,可将硝化过程从A2/O中分离出去,让曝气生物滤池完成硝化,实现硝化菌和聚磷菌的分离,并解决了硝化菌和聚磷菌泥龄之间的矛盾.试验结果表明,该生化系统可实现有机物、氮和磷的同步去除.在平均C/N比为4.2,内回流比R为250%的条件下,平均进水COD、TN、TP分别为239.9、57.3和5.1mg·L-1,平均最终出水COD、TN、TP分别为34.1、13.3和0.1mg·L-1,去除率分别为85.8%、76.9%和98.3%.曝气生物滤池对氨氮几乎保持了100%的去除率.序批试验表明,反硝化聚磷菌占聚磷菌的比例为40.5%.     

MBR-RO组合工艺污水回收中试研究

以A2/O-MBR为预处理工艺,构建了MBR-RO组合系统并用于城市污水的直接处理与回收,考察了MBR工艺作为RO预处理的可行性,评价了RO膜的出水水质,分析了不同操作条件对RO膜的渗透性能及膜污染的影响.研究表明,RO出水平均值为TOC＜1.3 mg/L、NH 4-N＜0.03 mg/L、TN＜0.1 mg/L,TP未检出,电导率和浊度分别小于30μS/cm和0.12 NTU,MBR出水中的无机离子已被RO完全截留,MBR-RO系统具有很高的污染物降解能力和脱盐能力,其出水水质可达饮用水水质标准.MBR作为RO的预处理是完全可行的,连续6个多月的运行中RO膜污染表现不严重.     

合流制排水系统降雨径流污染物的特性及来源

在昆明市典型合流制排水小区对降雨径流进出水水量、水质进行了研究,旨在揭示城市区域合流制排水系统中降雨径漉不同来源的污染物特性及各个污染源的比倒.分别监测了合流制排水系统日常污水以及4场降雨期间小区出口断面、街道、屋顶、庭院降雨径流的水量、水质.结果表明,人为干扰是影响城市径流污染物输出强度的主要因素,城市下垫面降雨径流污染物输出浓度顺序为:道路>庭院>屋顶,道路是城市面源污染的关键源区;道路次降雨径流量约25%,却产出了40%～80%的污染物,而屋顶次降雨径流量约50%,却仅有4%～30%的污染物负荷.合流制排水系统中管道沉积物在降雨期间的迁移是重要的污染源,4场降雨中管道沉积物的TN、TP、SS、COD和BOD5的污染贡献率在30%以上.降雨强度是影响管道沉积物输出的重要因素,在高强度降雨下,管道沉积物污染贡献率高50%以上.在不同的降雨特性条件下,合流制排水系统主导污染源有所不同.     

重金属污染土壤接种丛枝菌根真菌对蚕豆毒性的影响

采用盆栽实验的方法,研究了重金属(包括Cu、Zn、Pb和Cd)复合污染和接种丛枝菌根真菌(arbuscular mycorrhizal fungi,AMF)Glomus mosseae对蚕豆(Vicia faba)生长及DNA损伤的影响.结果表明,虽然接种菌根真菌对蚕豆生物量的影响并不显著,但是却显著影响植物对重金属的吸收,接种菌根真菌对蚕豆吸收4种重金属元素的作用有差异.采用单细胞凝胶电泳(single cell gel electrophoresis,SCGE)法研究接种菌根真菌对蚕豆叶片的DNA损伤的影响,与重金属吸收的结果相吻合.结果表明,接种处理可显著增加蚕豆叶片的DNA损伤程度,这与接种处理可提高植物的重金属吸收相一致.     

城市合流制管网降雨径流污染特征分析

对北京市老城区合流制管网排除系统下游干管进行降雨径流监测,分析降雨径流和生活污水混合后的水质变化特征,以便为合流制管网污染控制提供数据依据。结果表明北京市合流制管网污染程度较高,其污染过程受降雨过程、管道汇流过程、地表径流污染特征和管道沉积物冲刷等综合影响。     

基于在线监测和SWMM模型的合流制排水体制系统化提升方案评估研究

合流制溢流污染严重威胁着下游受纳水体的水环境质量。为科学评估基于海绵城市理念的合流制排水体制系统化提升方案在解决老城区合流制溢流污染方面的效果,以嘉兴市老城区为研究对象,采用在线监测技术和SWMM数学模型相结合的方式,对嘉兴市老城区合流制排水体制系统化提升方案进行了全面评估。经在线监测评估发现,完成海绵城市改造后,嘉兴市老城区在研究期内的溢流频次减少为26次,小雨不会产生溢流;经SWMM模拟评估发现,完成海绵城市改造后,老城区合流制溢流口年溢流频次减少了132.2次。整体来看,基于海绵城市理念的合流制排水体制系统化提升方案突破了传统末端治理的局限,从雨污水产生、收集的全过程对合流制排水体制进行了系统化整治,对于提升全局水环境质量效果显著。     

Scaling range sizes to threats for robust predictions of risks to biodiversity

Assessments of risk to biodiversity often rely on spatial distributions of species and ecosystems. Range‐size metrics used extensively in these assessments, such as area of occupancy (AOO), are sensitive to measurement scale, prompting proposals to measure them at finer scales or at different scales based on the shape of the distribution or ecological characteristics of the biota. Despite its dominant role in red‐list assessments for decades, appropriate spatial scales of AOO for predicting risks of species’ extinction or ecosystem collapse remain untested and contentious. There are no quantitative evaluations of the scale‐sensitivity of AOO as a predictor of risks, the relationship between optimal AOO scale and threat scale, or the effect of grid uncertainty. We used stochastic simulation models to explore risks to ecosystems and species with clustered, dispersed, and linear distribution patterns subject to regimes of threat events with different frequency and spatial extent. Area of occupancy was an accurate predictor of risk (0.81<|r|<0.98) and performed optimally when measured with grid cells 0.1–1.0 times the largest plausible area threatened by an event. Contrary to previous assertions, estimates of AOO at these relatively coarse scales were better predictors of risk than finer‐scale estimates of AOO (e.g., when measurement cells are <1% of the area of the largest threat). The optimal scale depended on the spatial scales of threats more than the shape or size of biotic distributions. Although we found appreciable potential for grid‐measurement errors, current IUCN guidelines for estimating AOO neutralize geometric uncertainty and incorporate effective scaling procedures for assessing risks posed by landscape‐scale threats to species and ecosystems.     

Efficacy of extracting indices from large‐scale acoustic recordings to monitor biodiversity

Passive acoustic monitoring could be a powerful way to assess biodiversity across large spatial and temporal scales. However, extracting meaningful information from recordings can be prohibitively time consuming. Acoustic indices (i.e., a mathematical summary of acoustic energy) offer a relatively rapid method for processing acoustic data and are increasingly used to characterize biological communities. We examined the relationship between acoustic indices and the diversity and abundance of biological sounds in recordings. We reviewed the acoustic‐index literature and found that over 60 indices have been applied to a range of objectives with varying success. We used 36 of the most indicative indices to develop a predictive model of the diversity of animal sounds in recordings. Acoustic data were collected at 43 sites in temperate terrestrial and tropical marine habitats across the continental United States. For terrestrial recordings, random‐forest models with a suite of acoustic indices as covariates predicted Shannon diversity, richness, and total number of biological sounds with high accuracy (R² ≥ 0.94, mean squared error [MSE] ≤170.2). Among the indices assessed, roughness, acoustic activity, and acoustic richness contributed most to the predictive ability of models. Performance of index models was negatively affected by insect, weather, and anthropogenic sounds. For marine recordings, random‐forest models poorly predicted Shannon diversity, richness, and total number of biological sounds (R² ≤ 0.40, MSE ≥ 195). Our results suggest that using a combination of relevant acoustic indices in a flexible model can accurately predict the diversity of biological sounds in temperate terrestrial acoustic recordings. Thus, acoustic approaches could be an important contribution to biodiversity monitoring in some habitats.     

Perceived barriers to and drivers of community participation in protected‐area governance

Protected areas (PAs) are a frequently used conservation strategy, yet their socioeconomic impacts on local communities remain contentious. A shift toward increased participation by local communities in PA governance seeks to deliver benefits for human well‐being and biodiversity. Although participation is considered critical to the success of PAs, few researchers have investigated individuals’ decisions to participate and what this means for how local people experience the costs and benefits of conservation. We explored who participates in PA governance associations and why; the perceived benefits and costs to participation; and how costs and benefits are distributed within and between communities. Methods included 3 focus groups, 37 interviews, and 217 questionnaire surveys conducted in 3 communities and other stakeholders (e.g., employees of a nongovernmental organization and government officials) in PA governance in Madagascar. Our study design was grounded in the theory of planned behavior (TPB), the most commonly applied behavior model in social psychology. Participation in PA governance was limited by miscommunication and lack of knowledge about who could get involved and how. Respondents perceived limited benefits and high costs and uneven distribution of these within and between communities. Men, poorer households, and people in remote villages reported the highest costs. Our findings illustrate challenges related to comanagement of PAs: understanding the heterogeneous nature of communities; ensuring all households are represented in governance participation; understanding differences in the meaning of forest protection; and targeting interventions to reach households most in need to avoid elite capture.