介孔氮化碳光催化降解诺氟沙星的动力学机制

采用一种简单高效的制备方法,利用SiO₂为模板制备出具有更高催化活性的介孔氮化碳材料（mpg-C₃N₄）,并通过透视电子显微镜（TEM）、X射线衍射（XRD）、氮气吸脱附测试（BET）、傅里叶变换红外光谱（FT-IR）、光电子能谱（XPS）对mpg-C₃N₄的形貌、组成结构进行表征.结果显示,mpg-C₃N₄表面存在大量直径约12nm的孔状结构,与g-C₃N₄相比,比表面积大幅度增大,并因此提供了更多的活性位点从而提高其光催化活性.使用紫外可见漫反射光谱（UV-vis DRS）和荧光光谱（PL）对其光电化学性能进行测试.结果表明介孔材料的引入使得氮化碳的吸收光谱发生红移,并降低了光生电子-空穴对复合率,从而提高对可见光利用效率.通过对诺氟沙星（NOR）的降解与吸附实验研究表明,NOR的光催化降解过程符合一级动力学和Langmuir-Hinshelwood动力学模型,而mpg-C₃N₄对NOR的吸附符合二级动力学,表明NOR的光催化降解主要发生在催化材料的表面且以化学吸附为主.吸附实验表明mpg-C₃N₄在30min内可以吸附56.78%的NOR,降解实验显示,光解1.5h后,超过90%的NOR可被降解.相比体相g-C₃N₄,mpg-C₃N₄表现出良好的吸附性能和光催化性能.pH值影响实验表明pH值约为7.41时达到最佳降解效果,主要归因于药物形态与材料表面电荷作用.淬灭实验表明O₂^·-和h⁺是降解体系中的主要活性物质.     

BAF去除氨氮关键影响因素研究

为探讨曝气生物滤池去除氨氮的关键因素,选取沈阳仙女河污水处理厂(40万t/d)现场进行实地研究。通过测定不同条件下(pH、进水COD浓度、溶解氧、温度、水力负荷)的氨氮去除率,并进行主成分分析结果显示,影响BAF工艺脱氮的关键因素是温度、溶解氧和水力负荷。当温度在14~30℃之间时,氨氮的去除率一直维持较高,当温度低于14℃时,氨氮的去除率较低;随着溶解氧浓度的增大,氨氮的去除率也随之升高,当溶解氧增加到5.6 mg/L时,氨氮的去除率达到80%~90%,接近饱和状态;在水力负荷为3.08~4.15 m3/(m.2h)之间时,氨氮的去除率上升,超过该值,则氨氮去除率下降。     

Fe3O4纳米磁性微粒对全氟辛烷磺酸盐的吸附

采用共沉淀法合成Fe3O4纳米磁性颗粒,用透射电子显微镜(TEM)、X射线衍射仪(XRD)以及振动样品磁强计(VSM)对Fe3O4纳米磁性颗粒的粒径、形貌和磁性进行表征并研究Fe3O4纳米磁性微粒对全氟辛磺酸盐的吸附。结果表明:在PFOS初始浓度4 mg/L,pH为3,反应时间24 h,Fe3O4纳米磁性微粒投加量1.25 g/L,对全氟辛磺酸盐去除率达到90%。Fe3O4纳米磁性微粒对PFOS的吸附符合Freundlich吸附方程。     

前处理残余铝对曝气池活性污泥的影响规律研究

从活性污泥的絮凝特点、有机物与 NH 4-N 的微生物代谢过程等方面探讨前处理残余铝对曝气池活性污泥的影响规律.结果显示,随着进水Al3 浓度的不断增加,污泥瞬时沉降速度明显增加,而对污泥沉降比影响不大.Al3 对COD去除率基本上没有影响,而对废水中 NH 4-N 氧化过程的影响却非常明显,随着活性污泥中Al3 的逐渐增加, NH 4-N 去除率出现了先升后降的变化趋势. NH 4-N 去除率下降的趋势与Al3 对微生物细胞膜电解质透性的影响规律呈负相关关系,说明Al3 对氨氧化微生物种群的干扰作用最强.     

含锰废渣的氧化-活化再生回用工艺

为实现紫苏醛生产过程中二氧化锰（氧化剂）的循环利用,采用一种新型的氧化-活化工艺再生得到活性二氧化锰,即以紫苏醇合成紫苏醛过程中产生的含锰废渣为原料,首先采用氯酸钠氧化含锰废渣得到初级二氧化锰,然后使用高锰酸钾对初级二氧化锰进一步活化得到活性二氧化锰。实验表明,制取初级二氧化锰的最佳工艺条件为：反应时间为4h,反应温度为90～95℃,硫酸摩尔浓度为1.5 mol/L,氯酸钠加量为理论量的130%。制取活性二氧化锰的合适条件为：反应温度在60℃时,反应时间为1.5 h;反应温度在50℃时,反应时间为2.5 h。采用氧化-活化法再生的活性二氧化锰氧化紫苏醇,紫苏醛的产率可达52.8%,与使用电解二氧化锰氧化得到的紫苏醛的产率53.1%相当,而使用初级二氧化锰,紫苏醛的产率仅为14.9%。     

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.     

Effects of age and sex ratios on offspring recruitment rates in translocated black rhinoceros

Success of animal translocations depends on improving postrelease demographic rates toward establishment and subsequent growth of released populations. Short‐term metrics for evaluating translocation success and its drivers, like postrelease survival and fecundity, are unlikely to represent longer‐term outcomes. We used information theory to investigate 25 years of data on black rhinoceros (Diceros bicornis) translocations. We used the offspring recruitment rate (ORR) of translocated females—a metric integrating survival, fecundity, and offspring recruitment at sexual maturity—to detect determinants of success. Our unambiguously best model (AICω = 0.986) predicted that ORR increases with female age at release as a function of lower postrelease adult rhinoceros sex ratio (males:females). Delay of first postrelease reproduction and failure of some females to recruit any calves to sexual maturity most influenced the pattern of ORRs, and the leading causes of recruitment failure were postrelease female death (23% of all females) and failure to calve (24% of surviving females). We recommend translocating older females (≥6 years old) because they do not exhibit the reproductive delay and low ORRs of juveniles (<4 years old) or the higher rates of recruitment failure of juveniles and young adults (4–5.9 years old). Where translocation of juveniles is necessary, they should be released into female‐biased populations, where they have higher ORRs. Our study offers the unique advantage of a long‐term analysis across a large number of replicate populations—a science‐by‐management experiment as a proxy for a manipulative experiment, and a rare opportunity, particularly for a large, critically endangered taxon such as the black rhinoceros. Our findings differ from previous recommendations, reinforce the importance of long‐term data sets and comprehensive metrics of translocation success, and suggest attention be shifted from ecological to social constraints on population growth and species recovery, particularly when translocating species with polygynous breeding systems.     

阳离子型微乳液一亚硫酸钠光度法测定α-TNT

以阳离子型微乳液ＣＰＣ／正戊醇／正已烷／水为介质，进行了α－ＴＮＴ－Ｎａ２ＳＯ３分光光度法的研究（ε＝３．０６５×１０４Ｌ·ｍｏｌ－１·ｃｍ－１）与以ＣＰＣ为介质（ε＝２．６４４×１０４Ｌ·ｍｏｌ－１·ｃｍ－１）比较，测定灵敏度明显提高，α－ＴＮＴ在０．０５～２０μｇ／ｍＬ范围内符合比耳定律．相对标准偏差０．１９７％．该法成功地应用于污染土壤中及合成水样中α－ＴＮＴ的测定．