Combining a finite mixture distribution model with indicator kriging to delineate and map the spatial patterns of soil heavy metal pollution in Chunghua County, central Taiwan

This study identifies the natural background, anthropogenic background and distribution of contamination caused by heavy metal pollutants in soil in Chunghua County of central Taiwan by using a finite mixture distribution model (FMDM). The probabilities of contaminated area distribution are mapped using single-variable indicator kriging and multiple-variable indicator kriging (MVIK) with the FMDM cut-off values and regulation thresholds for heavy metals. FMDM results indicate that Cr, Cu, Ni and Zn can be individually fitted by a mixture model representing the background and contamination distributions of the four metals in soil. The FMDM cut-off values for contamination caused by the metals are close to the regulation thresholds, except for the cut-off value of Zn. The receiver operating characteristic (ROC) curve validates that indicator kriging and MVIK with FMDM cut-off values can reliably delineate heavy metals contamination, particularly for areas lacking background information and high heavy metal concentrations in soil.     

Characterization of plutonium in deep-sea sediments of the Sulu and South China Seas

Anthropogenic Pu isotopes are important geochemical tracers for sediment studies. Their distributions and sources in the water columns as well as the sediments of the North Pacific have been intensively studied; however, information about Pu in the Southeast Asian seas is limited. To study the isotopic composition of Pu, and thus to identify its sources, we collected sediment core samples in the South China Sea and the Sulu Sea during the KH-96-5 Cruise of the R/V Hakuho Maru. We analysed the activities of ^239+240Pu and the atom ratios of ²⁴⁰Pu/²³⁹Pu using isotope dilution sector-field inductively coupled plasma mass spectrometry (SF-ICP-MS). The ²⁴⁰Pu/²³⁹Pu atom ratios in the sediments of both areas (inventory weighted mean: 0.251 for the South China Sea and 0.280 for the Sulu Sea) were higher than the global fallout value (0.178 ± 0.019), suggesting the existence of Pu from the Pacific Proving Grounds in the North Pacific. Low inventories of ^239+240Pu in sediments were observed in the South China Sea (3.75 Bq/m²) and the Sulu Sea (1.38 Bq/m²). Most of the Pu input is still present in the water column. Scavenging and benthic mixing processes were considered to be the main processes controlling the distribution of Pu in the deep-sea sediments of both study areas.     

负载型Mn-Ce/TiO2催化剂的制备及其低温脱硝活性简

以成型TiO₂作为载体,通过浸渍法制备了Mn-Ce/TiO₂低温SCR催化剂,并系统研究了制备方法、煅烧条件、活性组分担载量、Mn含量等参数对催化剂催化还原NO性能的影响。结果表明,煅烧温度的升高会促使活性组分结晶度的提高,从而引起催化活性的降低,在500℃和600℃下所得Mn-Ce/TiO₂催化剂活性组分为无定型态,表现出较高的脱硝活性。活性组分担载量的增加有利于催化活性的提高。Mn含量对Mn-Ce/TiO₂催化剂的活性有较大影响,当Mn/（Mn+Ce）摩尔比为40%和85%时,催化剂活性最高。     

A/O工艺N_2O的产生与释放的影响因素

采用A/O工艺,在连续运行条件下,以DO、SRT和硝化液回流比(R)为影响因素,对A/O生物脱氮工艺处理模拟城市生活污水过程中N2O的释放进行了研究。实验结果表明,SRT对A/O工艺N2O释放的影响最大,其次是DO,R的影响最小。N2O转化率随着SRT的升高而降低,当SRT从10 d升高到20 d时,总N2O平均转化率从0.319%下降到0.002%。总N2O转化率随着好氧池DO的升高先降低后有所升高,当DO分别为0.6 mg O2/L、1.2 mg O2/L、2.5 mg O2/L时,反应器的总N2O平均转化率分别为0.306%、0.007%和0.013%。R对N2O释放的影响差异不明显,总N2O平均转化率在300%时最低,为0.007%。N2O释放量最低的工艺运行条件组合是SRT为20 d、DO为1.2 mg O2/L、R为300%。     

废旧冰箱拆解聚氨酯泡沫塑料制备PU/PP复合材料

利用废旧冰箱拆解的聚氨酯泡沫塑料(PU)和聚丙烯(PP)、聚丙烯接枝马来酸酐(PP-g-MAH)为原料,采用物理化学回收技术制备PU/PP复合材料。用正交实验法分析PU填充量、PU粒径和PP-g-MAH 3个因素对PU/PP复合材料力学性能影响的显著性。结果表明,PU填充量对PU/PP复合材料拉伸性能有显著影响,对冲击性能和弯曲性能没有显著影响;在本文的实验范围内,PU粒径对PU/PP复合材料的力学性能影响不大;而PP-g-MAH投加量对PU/PP复合材料具有一定的影响。确定的优化工艺配方为:PU 40%;PU粒径选择2.00 mm;PP-g-MAH投加量10%。采用优化工艺制备的PU/PP复合材料的密度为1 042.88 kg/m3;冲击强度为2.9 kJ/m2;拉伸强度为10.30 MPa;拉伸模量为1 100 MPa;弯曲强度为18.5 MPa;弯曲模量为733 MPa。     

5种植物材料的水解释碳性能及反硝化效率

碳源在硝酸盐去除过程中起电子供体的作用,是生物反硝化反应的关键物质之一。为解决污水处理脱氮时碳源不足抑制反硝化反应造成脱氮效率低的问题,本研究选取风车草、甘蔗渣、芦竹、美人蕉和稻草秆5种植物材料作为反硝化碳源,探讨不同植物材料的水解释碳能力和释放规律;并进一步以其水解液作为外加碳源,探讨其对反硝化脱氮效率的影响。研究结果表明,植物材料水解释碳过程符合二级动力学反应规律,不同植物材料的释碳能力具有显著性差异,以甘蔗渣在固液比1∶80时COD释放当量最大,为45.45 mg/L;添加植物水解液可显著提高反硝化脱氮效率,以芦竹水解液脱氮效果最好,达到71.9%。此外,碳氮比是影响脱氮效率的重要因素之一,以碳氮比为9时反硝化脱氮效果最佳。     

介质阻挡放电协同Ag/Al_2O_3对NO_x脱除的影响

为有效去除发电厂烟气中产生的NOx,利用介质阻挡放电(DBD)产生低温等离子体并结合催化剂Ag/Al2O3进行烟气脱硝实验,研究了在加入乙烯的条件下,平均负载量、催化温度和装置的布置方式对NOx脱除的影响。结果表明,随着负载的增多,NO脱除率呈现先增大后减小的趋势,5种负载量中最佳为1.76%;随着催化温度的升高,NO脱除率同样呈现先增大后减小的趋势,最佳的催化温度为150℃左右;3种不同布置方式对NO和NOx脱除有明显差别,单独催化剂在NO和NOx的脱除率都比较低;单独介质阻挡放电NO脱除率很高,但是NOx很却很低;而两者结合在NO和NOx都达到了很好的效果。     

石墨气体扩散电极的制备与性能优化

电极的制备工艺及参数直接影响电极材料的活性。主要考察了C/PTFE质量比、碾压压力、煅烧温度、造孔剂NH4HCO3及稀土掺杂等因素对电极产出H2O2的影响规律。研究结果表明,电极最佳制备条件为:石墨和PTFE质量比为2∶1、石墨、造孔剂和稀土元素质量比为6∶1∶1、碾压压力10 MPa、煅烧温度330℃。在pH=3、电解质Na2SO4浓度为0.05mol/L条件下,电解2 h后,改性电极产生的H2O2从95 mg/L提高到350 mg/L,提高了268.4%。     

Forensic Evaluation of Metals (Cr,Cu, Pb,Zn), Isotopes (δ13C and δ15N), and C:N Ratios in Freshwater Sediment

A forensic approach was used to evaluate sediments from Portão Stream, including analysis of metals, carbon (C) and nitrogen (N) stable isotopes, and C:N ratios. Samples collected at various points located along the stream were tested in order to investigate a possible illegal leachate input. The studied stream is heavily impacted by sewage and industrial discharges from two cities along its course. Among the metals analyzed, chromium (Cr) was noticeably the main pollutant, showing the highest levels, above regulatory limits, downstream from some potential sources of effluents enriched with this metal. Isotope analyses revealed a general trend of depletion in the heavier isotope along the stream for C and N. The exception was one point near a hazardous waste landfill, where relatively more enriched δ¹³C and δ¹⁵N values were found. The isotope and metal analysis results indicated that this site was affected by a particular source, demonstrating the combination of these parameters could be used for the discrimination of sources in a heavily polluted stream. Nevertheless, further investigations are necessary to provide a comprehensive evaluation of the biogeochemical processes involved in the incorporation of leachate in sediments to use this analysis as evidence for the illegal leachate discharge.     

Optimization-Based Atmospheric Plume Source Identification

This work applies optimization and an Eulerian inversion approach presented by Bagtzoglou and Baun in 2005 in order to reconstruct contaminant plume time histories and to identify the likely source of atmospheric contamination using data from a real test site for the first time. Present-day distribution of an atmospheric contaminant plume as well as data points reflecting the plume history allow the reconstruction and provide the plume velocity, distribution, and probable source. The method was tested to a hypothetical case and with data from the Forest Atmosphere Transfer and Storage (FACTS) experiment in the Duke experimental forest site. In the scenarios presented herein, as well as in numerous cases tested for verification purposes, the model conserved mass, successfully located the peak of the plume, and managed to capture the motion of the plume well but underestimated the contaminant peak.