中国北方草原雪灾的致灾机制探讨

北方草原雪灾是天灾 ,更是一种人祸。受拉尼娜事件影响的异常气候固然是致灾的客观原因 ,但是不合理的人类经济活动 ,如超载放牧、耕地过垦、滥挖草药、滥用水资源等社会经济压力 ,超过了草原生态阈限 ,使脆弱的草原生态平衡遭到严重破坏 ;粗放经营 ,草原基础设施落后 ,也使草原生态系统抵御灾害的能力降低 ;草原公有、牲畜私有之间的所有制相位差是激发牧民掠夺式利用草原资源的最根本原因。为了追求私人经济利益的最大化 ,放牧者往往置公共草原的承载能力于不顾 ,严重恶化的草原生态环境也许正是“公共物品悲剧”的真实写照。     

Uncertainty in invasive alien species listing

Lists of invasive alien species (IAS) are essential for preventing, controlling, and reporting on the state of biological invasions. However, these lists suffer from a range of errors, with serious consequences for their use in science, policy, and management. Here we (1) collated and classified errors in IAS listing using a taxonomy of uncertainty; and (2) estimated the size of these errors using data from a completed listing exercise, with the purpose of better understanding, communicating, and dealing with them. Ten errors were identified. Most result from a lack of knowledge or measurement error (epistemic uncertainty), although two were a result of context dependence and vagueness (linguistic uncertainty). Estimates of the size of the effects of these errors were substantial in a number of cases and unknown in others. Most errors, and those with the largest estimated effect, result in underestimates of IAS numbers. However, there are a number of errors where the size and direction of the effect remains poorly understood. The effect of differences in opinion between specialists is potentially large, particularly for data-poor taxa and regions, and does not have a clearly directional or consistent effect on the size and composition of IAS lists. Five tactics emerged as important for reducing uncertainty in IAS lists, and while uncertainty will never be removed entirely, these approaches will significantly improve the transparency, repeatability, and comparability of IAS lists. Understanding the errors and uncertainties that occur during the process of listing invasive species, as well as the potential size and nature of their effects on IAS lists, is key to improving the value of these lists for governments, management agencies, and conservationists. Such understanding is increasingly important given positive trends in biological invasion and the associated risks to biodiversity and biosecurity.     

典型菜地土壤汞在小白菜和胡萝卜可食部位的富集规律

对广东省蔬菜种植面积较大的10个城市典型菜地土壤和蔬菜（小白菜和胡萝卜）对应采样,分析217个蔬菜可食部位中重金属汞（Hg）质量分数及对应土壤中Hg全量和有效态质量分数,研究大田条件下小白菜和胡萝卜可食部位富集Hg的规律。结果表明,广东省菜地土壤存在一定的Hg污染,约20％的土壤超过国家土壤环境质量标准（GBl5618－1995）中二级标准值,但小白菜和胡萝卜中Hg质量分数较低,均值分别为0．0012和0．0013mg·kg-1,仅2个小白菜样品Hg质量分数超过国家食品卫生标准《食品中污染物限量》（GB2762-2005）中的限值0．01mg·kg-1。TGA提取的土壤有效态Hg质量分数与土壤Hg全量显著正相关,TGA提取Hg量仅占土壤总Hg质量分数的3％-4％。小白菜和胡萝卜对Hg的富集系数分别为0．90％和0．94％,表明土壤中绝大部分的Hg不易转化迁移、为蔬菜吸收。小白菜和胡萝卜可食部位Hg质量分数与土壤中Hg全量和有效态质量分数均存在显著的线性关系,其中蔬菜与土壤Hg有效态质量分数的关系优于其与土壤Hg全量的关系。依据国家食品卫生标准,通过拟合回归方程计算出的保障小白菜和胡萝b质量安全的菜地土壤Hg有效态质量分数临界值分别为O．038和0．063mg·kg-1。计算出的土壤Hg全量临界值远大于我国现行土壤环境质量标准的二级标准值,表明该标准值对于保障广东省小白菜和胡萝b质量安全来说可能过于严格。     

从阳极泥中提取结晶形Al（OH）3的绿色化研究

采用碱中和阳极泥中的Al2O3和无定形Al(OH)₃,再通入CO₂,从铝型材生产线阳极沉积下来的废泥中成功制备出结晶形Al(OH)₃,研究了温度,pH及CO₂气流速率对形成结晶形Al(OH)3产量的影响。结果表明,在强烈搅拌下,当温度为70~80℃,pH为8~9,CO₂气流速率为50~60mL/min时,Al(OH)3产量最高。该研究实现了回收铝资源,净化环境,且副产品Na₂CO₃可回收利用的目的,从而达到综合利用资源,变废为宝的绿色目标。      

Alcaligenes sp. XJ-T-1利用废弃油脂生产破乳剂研究

生物破乳剂是一种应用于油水乳状液分离的新型破乳剂.本研究对筛选得到的1株高效破乳剂产生菌XJ-T-1（鉴定结果为Alcaligenes sp.）代谢产生的生物破乳剂进行了理化性质、破乳能力和废弃油脂利用能力分析.采用废弃油脂Ⅱ为碳源,可提高生物破乳剂产量4.6倍,XJ-T-1在以液体石蜡和废弃油脂培养8　d后该菌能使水的表面张力从72 mN/m下降到32 mN/m, CMC-1分别为10、 20;以液体石蜡为碳源培养得到的生物破乳剂在油包水型、水包油型模型乳状液的破乳率分别达到了96%、 50%;而以废弃油脂Ⅱ为碳源培养得到的生物破乳剂的破乳率分别为97.8%、 65％;采用煤油脱出率、乳状液脱除率和水脱出率3种评价方式对破乳效果评价发现生物破乳剂最先作用于乳状液的连续相;采用TLC和IR对废弃油脂生产破乳剂得到的破乳剂有效成分进行鉴定,结果为脂肽与石蜡培养产物相同.     

人工湿地污水处理系统中植物套种模式根际微生物多样性研究

采用选择性平板培养基法和PCR-DGGE法,比较研究了人工湿地污水处理系统中植物套种模式和无植物单元在不同季节和不同单元之间根际微生物多样性.结果表明,植物套种模式的根际微生物数量明显高于无植物模式,夏季明显多于冬季.在三级串联的处理单元之间,夏季根际微生物数量呈现＂少-多-少＂的变化规律,冬季无明显的变化规律.UPG...     

5种酚类化合物对3种水生生物的毒性作用

通过测定藻细胞密度和溞数量的变化,研究了5种酚类化合物对蛋白核小球藻（Chlorella pyrenoidosa）、斜生栅藻（Scenedesmus obliquus）和多刺裸腹溞（Moina macrocopa）3种水生生物的影响.结果表明,在实验第6天,随酚类化合物浓度增加,藻细胞密度与对照组相比明显下降,多刺裸腹...     

Evaluation of health benefit using BenMAP-CE with an integrated scheme of model and monitor data during Guangzhou Asian Games

Guangzhou is the capital and largest city(land area:7287 km2)of Guangdong province in South China.The air quality in Guangzhou typically worsens in November due to unfavorable meteorological conditions for pollutant dispersion.During the Guangzhou Asian Games in November 2010,the Guangzhou government carried out a number of emission control measures that significantly improved the air quality.In this paper,we estimated the acute health outcome changes related to the air quality improvement during the 2010 Guangzhou Asian Games using a next-generation,fully-integrated assessment system for air quality and health benefits.This advanced system generates air quality data by fusing model and monitoring data instead of using monitoring data alone,which provides more reliable results.The air quality estimates retain the spatial distribution of model results while calibrating the value with observations.The results show that the mean PM_2.5concentration in November 2010 decreased by 3.5μg/m~3 compared to that in 2009 due to the emission control measures.From the analysis,we estimate that the air quality improvement avoided 106 premature deaths,1869 cases of hospital admission,and 20,026 cases of outpatient visits.The overall cost benefit of the improved air quality is estimated to be 165 million CNY,with the avoided premature death contributing 90%of this figure.The research demonstrates that Ben MAP-CE is capable of assessing the health and cost benefits of air pollution control for sound policy making.     

基于AVMD与DPC-FCM的旋转机械无监督故障诊断方法

目的 针对旋转机械故障诊断过程中存在故障信号特征提取困难、故障诊断过程有标签数据较少、故障诊断准确率低等问题,提出自适应变分模态分解算法(Adaptive Variational Mode Decomposition, AVMD)与密度峰值算法优化的模糊C均值算法(Clustering by Fast Search and Find of Density Peaks Optimizing Fuzzy C-Means,DPC-FCM)结合的无监督诊断方法。方法 首先,将多尺度排列熵与峭度相结合的综合系数作为适应度函数,对VMD算法的惩罚因子alpha和模态个数K进行参数寻优,提取分解后本征模态函数(Intrinsic Mode Function,IMF)的平均样本熵与平均模糊熵,并输入至聚类算法中。其次,提出利用密度峰值聚类算法确定FCM的初始聚类中心,降低聚类结果的随机性。结果 将提出的无监督故障诊断模型应用到滚动轴承试验信号中,实现了准确的故障诊断。结论 AVMD在故障提取方面具有优越性,同时DPC算法可以有效提高FCM算法无监督聚类的准确性,二者结合可以有效实现旋转机械故障的智能分类。     

Design and demonstration of a next-generation air quality attainment assessment system for PM2.5 and O3

Due to the increasingly stringent standards, it is important to assess whether the proposed emission reduction will result in ambient concentrations that meet the standards. The Software for Model Attainment Test—Community Edition(SMAT-CE) is developed for demonstrating attainment of air quality standards of O3 and PM2.5. SMAT-CE improves computational efficiency and provides a number of advanced visualization and analytical functionalities on an integrated GIS platform. SMAT-CE incorporates historical measurements of air quality parameters and simulated air pollutant concentrations under a number of emission inventory scenarios to project the level of compliance to air quality standards in a targeted future year. An application case study of the software based on the U.S. National Ambient Air Quality Standards(NAAQS) shows that SMAT-CE is capable of demonstrating the air quality attainment of annual PM2.5and 8-hour O3 for a proposed emission control policy.