氧活性粒子氧化NO生成HNO_3

采用强电离介质阻挡放电方法制取高浓度氧活性粒子(O+2、O3)并注入气体外排烟道中,实现O+2、O3氧化NO转化成资源酸(HNO3)的等离子化学反应。描述强电离放电的氧活性粒子产生器,讨论烟道中O+2、O3氧化NO成HNO3等离子体反应机制,分析回收酸液的NO-2、NO-3离子种类及浓度。考察强电离放电等离子体源的输入功率、水体积百分比、气体温度、气体流速对NOx氧化率的影响。氧化率为97.2%的最佳实验条件是:O+2浓度为1.38×1010个/cm3,O3浓度为210 mg/L,烟气温度为65℃,H2O体积浓度为5.6%,停留时间为0.94 s。     

臭氧辅助UV/Fenton法处理电镀添加剂生产废水

采用臭氧辅助光芬顿法处理电镀添加剂生产废水,考察双氧水、FeSO₄·7H₂O、pH和反应时间等因素对废水COD和UV₂₅₄去除的影响。实验结果表明,pH=4,臭氧通入量为0.25 g,双氧水的投加量93.3 mL/L,FeSO₄·7H₂O投加量为5.3 g/L,最佳反应时间为30 min,COD和UV₂₅₄去除率分别达到92.64%和87.95%。这表明,臭氧辅助光芬顿法对电镀添加剂生产废水处理效果显著,处理时间大大减少。     

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%。     

Fe^0-厌氧微生物体系处理活性艳红X-3B的试验研究

采用间歇式摇床试验,研究了葡萄糖共基质条件下Fe^0-厌氧微生物体系中Fe^0投加量、pH值、染料初始浓度对活性艳红X-3B模拟废水脱色率的影响,比较了Fe^0-厌氧微生物、纯厌氧微生物及纯Fe^0 3种体系中废水的脱色效果。结果表明：Fe^0-厌氧微生物体系中初始浓度（50～500mg／L）对活性艳红X-3B的脱色率影响不大;而Fe^0投加量、pH值存在一个最佳范围;当Fe^0投加量为260mg／L,pH值为6．0,污泥浓度为0．35gVSS／L,停留时间约为30h时,体系中活性艳红X-3B的脱色率可达90％左右,比相同试验条件下纯Fe^0、纯厌氧微生物体系达到此脱色率所需时间分别缩短了约1／2、7／10。在Fe^0-厌氧微生物体系中,由紫外可见分光光度分析可推测活性艳红X-3B的脱色机理主要是其偶氮键发生断裂,生成苯胺和萘类物质,而且苯胺和萘类物质能得到进一步降解。     

佛山市臭氧浓度时间变化特征及主要影响因子

对佛山市2011—2014年O_3监测数据进行分析,结果表明,ρ(O_3)日变化呈现明显的单峰特征,2011—2014年O_3日最大8小时滑动均值(O3-8 h)的年评价值没有出现显著的下降趋势,超标值多出现在8—10月。夏季O3-8 h与日平均气温的相关系数较高,O_3污染多发生在气温30℃,相对湿度为50%~70%的气象条件下。相对湿度60%,气温为20~25℃,也可能出现O3污染。10℃时,不同的温度条件下,O_3与PM_(2.5)存在正相关关系。在不同的季节时段,O_3-8 h基本随着ρ(NO_2)/ρ(NO)增大而增大。     

基于3S技术对太湖底质及水质总磷的研究

应用3S技术研究了太湖底质与水质总磷(TP)的分布情况,并结合水华频次分析了其相关性。结果表明:2016—2018年,太湖底质TP年均值在433~537 mg/kg波动,水质TP年均值从0.064 mg/L上升至0.087 mg/L。从空间分布来看,底质TP、水质TP和水华频次均呈现“西高东低”的规律,太湖西部区尤其是竺山湖区是需要开展治理的重点区域。3年间,太湖西部区水质TP上升,而底质TP与入湖河流TP下降,说明内源磷污染是太湖西部区水质TP升高的主要原因,须加强科学清淤。     

香溪河库湾氮的时空分布及影响因子分析

为研究解决香溪河库湾水体富营养化问题,需探明库湾水体氮的时空分布及影响因子。2010年12月—2011年11月对香溪河与水库干流交界处至香溪河库湾尾部共12个采样点进行连续监测,分析香溪河库湾氮的时空分布,结果表明,香溪河库湾氮存在明显的时空分布规律。空间上,回水末端处TN和NO₃^--N浓度低,河口处浓度高,随着与回水末端距离的增加,浓度逐渐升高。在时间上,香溪河库湾TN和NO₃^--N浓度的变异系数随着与河口距离的增加总体上逐渐增大,研究时间内的变化程度逐渐变大;且香溪河库湾TN和NO₃^--N浓度在三峡水库不同运行阶段的时间变化规律不同。     

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.     

多因素影响下巷道变形特性数值模拟研究

基于FLAC3D有限差分软件对开挖深度、侧压力系数、断面形状等多因素影响下的巷道变形参数进行正交试验，根据正交试验分析结果，分别选取同一深度条件下的圆形、马蹄形、直墙拱形、矩形巷道进行模拟试验并以圆形巷道作为典型断面，对不同深度下的巷道变形特征进行模拟试验。研究结果表明:开挖深度对巷道开挖后的应力差变化影响明显，断面形状对巷道围岩内的塑性区深度和具有显著影响；巷道开挖后的塑性区深度和随形状指数增加而呈线性增长趋势，圆形巷道的塑性区深度和最小，矩形最大；应力差随着巷道开挖深度的增加呈线性增加，深部开采应重视巷道内的应力分布情况。     

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.