OBIA与RF结合的龙口市土地利用信息提取方法

为提高中分辨率遥感影像解译精度,本文提出面向对象影像分析（Object Based Image Analysis,OBIA）与随机森林（Random Forest,RF）结合的土地利用信息提取方法。采用Landsat 8 OLI影像,针对不同地物特点,阈值分割和多尺度分割结合创建影像对象,规则集和分类器协同分类,基于Relief F算法分别对光谱特征、纹理特征及所有特征降维筛选特征子集,并与全部特征一起应用RF建模,对龙口市进行土地利用信息提取与比较。结果表明：OBIA与RF结合提取土地利用信息,基于Relief F算法筛选纹理特征,保留完整光谱、几何、空间关系特征构建RF模型,建模错分率为0.0958,分类总体精度和Kappa系数分别为89.37%和0.872,取得较理想结果。该方法可应用于中分辨率遥感影像土地利用信息提取。     

Selective extraction and separation of Fe, Mn oxides and organic materials in river surficial sediments

In order to investigate the adsorption mechanism of trace metals to surficial sediments （SSs）, a selective extraction procedure was improved in the present work. The selective extraction procedure has been proved to selectively remove and separate Fe, Mn oxides and organic materials （OMs） in the non-residual fraction from the SSs collected in Songhua River, China. After screening different kinds of conventional extractants of Fe and Mn oxides and OMs used for separation of heavy metals in the soils and sediments, NH2OH .HCl （0.1 mol/L） ＋ HNO3 （0.1 mol/L）, （NH4）2C2O4 （0.2 mol/L） ＋ H2C2O4 （pH 3.0）, and 30% of H2O2 were respectively applied to selectively extract Mn oxides, Fe/Mn oxides and OMs. After the extraction treatments, the target components were removed with extraction efficiencies between 86.09%--3.36% for the hydroxylamine hydrochloride treatment, 80.63%- 101.09% for the oxalate solution extraction, and 94.76%-102.83% for the hydrogen peroxide digestion, respectively. The results indicate that this selective extraction technology was effective for the extraction and separation ofFe, Mn oxides and OMs in the SSs, and important for further mechanism study of trace metal adsorption onto SSs.     

Investigation on Fe, Mn, Zn, Cu, Pb and Cd fractions in the natural surface coating samples and surficial sediments in the Songhua River, China

Natural surface coating samples （NSCSs） from the surface of shingles and surficial sediments （SSs） in the Songhua River, China were employed to investigate the relationship between NSCSs and SSs in fractions of heavy metals （Fe, Mn, Zn, Cu, Pb, and Cd） using the modified sequential extraction procedure （MSEP）. The results show that the differences between NSCSs and SSs in Fe fi＇actions were insignificant and Fe was dominantly present as residual phase （76.22% for NSCSs and 80.88% for SSs） and Fe-oxides phase （20.33% for NSCSs and 16.15% for SSs）. Significant variation of Mn distribution patterns between NSCSs and SSs was observed with Mn in NSCSs mainly present in Mn-oxides phase （48.27%） and that in SSs present as residual phase （45.44%）. Zn, Cu, Pb and Cd were found dominantly in residual fractions （〉48%）, and next in solid oxides/hydroxides for Zn, Pb and Cd and in easily oxidizable solids/compounds form for Cu, respectively. The heavy metal distribution patterns implied that Fe/Mn oxides both in NSCSs and SSs were more important sinks for binding and adsorption of Zn, Pb and Cd than organic matter （OM）, and inversely, higher affinity of Cu to OM than Fe/Mn oxides in NSCSs and SSs was obtained. Meanwhile, it was found that the distributions of heavy metals in NSCSs and SSs were similar to each other and the pseudo-total concentrations of Zn, Cu, Pb and Cd in NSCSs were greater than those in SSs, highlighting the more importance for NSCSs than SSs in controlling behaviours of heavy metals in aquatic environments.     

Broad range analysis of endocrine disruptors and pharmaceuticals using gas chromatography and liquid chromatography tandem mass spectrometry

Endocrine disrupting compounds (EDCs) and pharmaceuticals and personal care products (PPCPs) have been globally detected in impacted natural waters. The detection of trace quantities of EDCs and PPCPs in the environment is of great concern since some of these compounds have known physiological responses at low concentrations. EDCs can have a wide range of polarities, acidic and basic moieties, and exist in trace quantities, which often requires numerous complex extractions, large sample collection volumes, and multiple instrumental analyses. A comprehensive method has been developed allowing for the analysis of 58 potential EDCs in various water matrices using a single solid-phase extraction (SPE) of a 1 L sample with subsequent analyses using both gas chromatography and liquid chromatography, each coupled with tandem mass spectrometry (GC–MS/MS and LC–MS/MS). Instrument detection limits ranged between 0.12–7.5 pg with corresponding method reporting limits of 1–10 ng l⁻¹ in water. Recoveries for most compounds were between 50% and 112% with good reproducibility (RSD 6–22%).     

简化连续提取法评价污染土壤中Zn、Cd的植物有效性

以0.01 mol·L^-1CaCl₂和0.005 mol·L^-1 DTPA作为提取剂,用简化的3步连续提取法对贵州省赫章县土法炼锌污染土壤中Zn、Cd的形态进行了分析.结果显示,污染土壤中Zn、Cd主要以残渣态的形式存在,CaCl₂提取态和DTPA提取态Zn、Cd平均仅占全量的0.63%、3.91%和10.94%、10.13%.土壤中不同形态Zn、Cd含量与玉米中Zn、Cd含量的相关分析结果显示,CaCl₂提取态金属与玉米中金属含量没有显著的相关关系,而DTPA提取态、残渣态以及总量Zn、Cd与玉米根、茎叶中Zn、Cd含量显著正相关.这些结果表明CaCl₂提取态Zn、Cd对土壤中该元素的植物有效态可能不具重要贡献,而DTPA提取态金属和金属总量在一定程度上能作为评价土壤中元素植物有效性的标准.     

加速溶剂萃取-在线净化-液相色谱串联质谱法检测污泥堆肥样品中三氯生和三氯卡班

污泥堆肥样品基质复杂,其中三氯生（TCS）和三氯卡班（TCC）的提取和净化过程操作烦琐、回收率低。通过对净化条件进行优化,建立了加速溶剂萃取-在线净化-液相色谱串联质谱法检测污泥堆肥样品中TCS和TCC的分析方法,并对上海某污水厂实际污泥堆肥样品中的TCS和TCC进行定量分析。结果表明,TCS和TCC的检出限分别为0.003和0.0002μg/g,加标回收率为90.3%~99.8%,相对标准偏差（RSD）为1.2%~8.5%（n=6）。该方法样品前处理时间短、回收率高、试剂使用量少,能够满足实际污泥堆肥样品中TCS和TCC的检测要求。     

基于红外热成像的隧道火焰检测技术研究

精准的火焰检测是有效避免火灾发生的关键,针对传统的火灾探测算法在公路隧道等大空间环境中存在及时性与准确性相互制约的问题,通过研究隧道火焰初期在图像中呈现的静态和动态特征,提出了一种基于红外热成像的公路隧道火灾初期火焰检测方法。利用温度阈值获取疑似火焰区域,根据红外图像在引导滤波器作用下降噪,同时利用区域增长法分割疑似火焰区域;从疑似区域中提取的特征值构成特征向量,进行数据归一化提高SVM收敛速度;利用人工蜂群算法优化参数。结果表明:ABC-SVM能够实现公路隧道火灾初期的火焰识别,检测正确率相较于RBF方法提升了2.26%,运行时间缩短了2.29 ms;检测正确率相较于SVM方法提升了0.87%,运行时间缩短了2.22 ms。本方法可以对初期隧道火灾进行快速、有效检测,并有良好的环境适用性。     

鱼体甲基汞的萃取富集和测定

研究了苯萃取和半胱氨酸滤纸富集再用苯洗脱的方法,使鱼肉中甲基汞得到富集和提取。建立了气相色谱测定甲基汞的方法并对所建立的方法进行评价。结果表明:加标回收率为87.10%～105.69%;变异系数为2.93%。符合要求,大量样品实验表明,该方法适用于痕量甲基汞的提取和分析。     

油污染土壤气体抽排去污模型及影响因素

为了开展适合我国实际情况的有机污染土壤气体抽排净化技术研究,在对油污染土壤的通风去污过程机理进行分析的基础上,建立了一个简化机理模拟模型.以华北地区典型土壤为实验土样,油污染物为例,通过一维土柱实验,研究了抽排气体流速、土壤含水率和土质对去污过程的影响.实验表明抽排气体流速存在最佳值,土壤含水率对不同土质土壤净化时间影响不同,对粉砂土,含水率升高,净化效率增强;而对粘质土壤,结果正好相反.对模型预测结果进行实验验证表明,本文建立的模拟模型在实验限定条件范围内是准确和适用的.     

Electro-remediation of tailings from a multi-metal sulphide mine: comparing removal efficiencies of Pb,Zn, Cu and Cd

Sulphidic mine tailings characterised by high concentrations of heavy metals (Pb 3532?±?97?mg/kg, Zn 8450?±?154?mg/kg, Cu 239?±?18?mg/kg and Cd 14.1?±?0.3?mg/kg) and abundant carbonate (17%) were subjected to eight lab-scale electrodialytic remediation (EDR) experiments to investigate the influence of current density, treatment time and particle size on removal efficiency. Pb and Cu removal improved when increasing current density, while Zn and Cd removal did not. In contrast Zn and Cd removal improved by grinding the tailings, while Pb and Cu removal did not. At the highest current density (1.2?mA/cm²), 94%, 75%, 71% and 67% removal of Pb, Zn, Cu and Cd could be achieved, respectively, on grinded tailings in 28 days. Sequential chemical extraction made before and after EDR revealed larger oxidisable fractions of Zn, Cu and Cd, representing large fractions of sulphides, which was likely to be the main barrier to be removed as efficiently as Pb. This was in accordance with acid/base extraction tests in which Pb showed high solubility at both high and low pH (up to 65% and 86% of extraction, respectively), while considerable extraction of Zn (55%) happened only at low pH; and very limited extraction (<20%) of Cu and Cd occurred at any pH.