氮氧同位素联合稳定同位素模型解析水源地氮源

找出作为优质水源地的水库氮的来源对控制其富营养化问题非常重要.本研究选取杭嘉湖地区的4个水库(青山水库、对河口水库、四岭水库和里畈水库),利用氮、氧同位素技术结合稳定同位素模型(stable isotope analysis in R,SIAR),对水库的硝酸盐(NO_3~-)来源进行了识别并计算了各污染源的贡献率.结果表明,4个水库中存在严重的氮污染,以硝酸盐为主,受人类活动干扰较大的青山水库,污染严重.4个水库86%以上的δ~(18)O值小于10‰,93%样品的δ~(15)N/δ~(18)O值小于1.3,说明水库中硝化反应明显而反硝化作用不显著.4个水库硝酸盐的主要来源是化学肥料和土壤氮,两者的贡献率为75%~82%,种植业面源污染给水源地水库带来的氮污染已非常严重;青山水库硝酸盐的来源还包括贡献率为25%的生活污水及粪肥、贡献率为7%的降水和贡献率为6%的工业废水,说明在人类活动强度大的区域生活污水及粪肥的污染也不可忽视;对河口水库、四岭水库和里畈水库硝酸盐的来源还包括降水,其贡献率分别为21%、24%和15%,可见在人为干扰较少的地区,降水对于水体硝酸盐的影响也不可忽略.     

地下水“三氮”污染来源及其识别方法研究进展

地下水"三氮"污染来源的识别研究对污染控制与修复有重要的意义.在阐述地下水"三氮"污染来源(大气氮沉降、土壤天然有机氮矿化、地表径流氮输入、人类活动氮排放等)及其在我国的分布特征的基础上,总结了国际上常用的"三氮"污染来源识别方法,包括水化学方法、统计学相关方法、区域氮平衡法、稳定同位素示踪法及一些新型示踪方法.指出由于"三氮"污染来源的多样性及污染形成机制的复杂性,单一识别方法在应用中均有较明显的局限性,目前主流识别手段为稳定同位素示踪法与多种识别方法相综合.进一步提出要加强新型示踪方法的开拓、定量识别方法的优化,污染源识别与迁移转化机制、地下水补排条件、地下水-地表水转化关系等研究相结合为未来发展的主要趋势.     

基于δ15N和δ18O的农业区地下河硝酸盐污染来源

为研究岩溶区农业活动为主导的地下河流域硝酸盐污染来源,于2017年5~10月每24 d左右对重庆青木关流域6个采样点进行监测,利用~(15)N和~(18)O同位素技术对示踪硝酸盐来源进行解译,应用IsoSource模型计算出不同端元硝酸盐的贡献率.结果表明:(1)青木关农业区地下河系统存在较大的硝酸盐污染风险,大部分采样点出现不同程度NO_3~--N浓度超标现象.(2)空间上,青木关地下河中NO_3~--N浓度整体呈现由上游向下游升高的趋势.时间上,上游鱼塘和岩口落水洞以及下游姜家泉样点NO_3~--N浓度在5~6月因受农业施肥的影响,均呈上升趋势,6~9月受降水影响而出现不同程度升高或降低,9月之后随着农业活动减少而逐渐降低;中游土壤点NO_3~--N浓度保持较高值;中下游大鹿池NO_3~--N浓度较低且变幅不大.(3)通过硝酸盐~(15)N和~(18)O同位素分析,表明上游鱼塘和岩口落水洞的硝酸盐源于土壤有机氮、动物粪便及污废水混合;中游土壤点硝酸盐源于土壤有机氮、降水和肥料中NH_4~+;中下游大鹿池中硝酸盐来源于动物粪便及污废水、土壤有机氮、降水和肥料中NH_4~+的混合作用.地下河出口处姜家泉硝酸盐污染严重,其源于土壤有机氮、降水和肥料中NH_4~+、动物粪便及污废水、大气沉降的综合作用.(4)基于IsoSource模型对地下河出口处硝酸盐来源进行定量分析,发现动物粪便及污废水贡献率占46.4%,土壤有机氮占32.6%,降水与肥料中NH_4~+占18.6%,大气沉降仅占2.4%.     

基于同位素技术的短程硝化过程N2O产生途径

在常温条件下,采用批次试验结合同位素分析技术,研究不同溶解氧(DO)浓度下短程硝化过程N_2O的释放量及产生途径.结果表明,不同溶解氧条件下,N_2O的释放量与NO_2~--N浓度显著相关,当NO_2~--N浓度大于3 mg·L~(-1),短程硝化过程开始出现N_2O的释放,且随着NO_2~--N浓度的增加而增加.当溶解氧浓度分别为0. 5、1. 5和2. 5 mg·L~(-1)时,N_2O的释放量占进水总氮的比例分别为4. 35%、3. 27%和2. 63%,随着溶解氧的升高,N_2O的释放量占进水总氮的比例降低.短程硝化过程控制溶解氧在2. 5 mg·L~(-1),既可以提高比氨氧化速率,又可以减少N_2O的产生.同位素测定结果表明,当溶解氧为0. 5 mg·L~(-1)时,只有AOB反硝化过程生成N_2O.但当溶解氧升至1. 5 mg·L~(-1)时,有4. 52%的N_2O通过NH_2OH氧化过程生成,AOB反硝化过程生成的N_2O占95. 48%.继续升高溶解氧到2. 5 mg·L~(-1)时,NH_2OH氧化过程生成的N_2O比例增加至9. 11%,AOB反硝化过程生成的N_2O占90. 89%,溶解氧浓度的改变会影响短程硝化过程N_2O的产生途径,避免过高的NO_2~--N积累,可以减少N_2O的产生.     

南京北郊冬夏季大气PM2.5中碳质组分浓度及同位素组成研究

为研究南京北郊不同季节PM_(2.5)中碳质组分的主要来源,分别在2014年1月1—23日和2014年7月3—22日进行PM_(2.5)样品采集,并分析其中有机碳(OC)、元素碳(EC)浓度及总碳同位素组成.结果表明,冬季PM_(2.5)浓度高于夏季,平均值为(146.69±64.67)μg·m-3,OC、EC浓度较高,分别为(14.77±5.58)μg·m-3与(9.01±4.74)μg·m-3;而夏季PM_(2.5)浓度为(57.69±23.80)μg·m-3,OC、EC浓度分别为(5.94±2.20)μg·m-3和(2.78±1.25)μg·m-3.二次有机碳(SOC)占OC比重较小,冬、夏两季分别为36.99%与27.37%,这与采样点紧邻公路主干道使颗粒物未得到充分的二次反应有关.南京北郊冬季δ13C平均值为-25.38‰±0.36‰,夏季为-26.50‰±0.58‰,通过与潜在污染源的δ13C值对比,推断出采样期间冬季主要的潜在碳质污染源为煤炭燃烧及机动车尾气,夏季主要的潜在碳质污染源为生物质燃烧及汽车尾气.     

红球菌BAP-1对荧蒽的跨膜运输过程

利用同位素示踪法对红球菌BAP-1跨膜运输¹⁴C-荧蒽的过程进行了研究.结果表明在有ATP抑制剂NaN₃的存在下,红球菌BAP-1细胞膜内所结合的¹⁴C-荧蒽含量几乎无变化.结合对微生物体内包涵体的观察,说明当有ATP抑制剂存在的情况下,荧蒽无法通过细胞膜进入到微生物的体内.这表明若是荧蒽无法通过跨膜运输进入到红球菌细胞内,就不能得到有效的生物降解.在不同的底物浓度条件下,微生物对¹⁴C-荧蒽的跨膜运输过程是主动运输过程;在一定底物浓度条件下,菌体膜结合污染物的量会在一定的条件下达到饱和.结合米氏方程分析了红球菌BAP-1对¹⁴C-荧蒽的跨膜运输动力学过程,结果表明底物¹⁴C-荧蒽与微生物之间一直保持较高的亲和力,较高的亲和体系有助于跨膜运输过程的顺利进行.     

基于水文地球化学信息和环境同位素的地下热水成因分析

以海南省乐东县福报地热田内分布的基岩热水井为研究对象,利用水文地球化学信息和环境同位素技术分析地下热水的形成机制。结果显示,本区地下热水以高偏硅酸、低矿化度为特征,水化类型为HCO_3-Ca型。氢氧同位素特征、Cl-SO_4-HCO_3及Na-K-Mg三线图表明,本区地下热水主要来源于大气降水,受地壳深部地热水影响较少。地下热水中~3H、~(14)C同位素年龄测定结果表明区域地下热水不存在大尺度的径流模型,且在出露过程中混入了常温水。     

Investigation of interactions between surface water and petroleum-type pollutants

Background, Aims and Scope In oil spill investigations, one of the most important steps is a proper choice of approaches that imply an investigation of samples taken from different sedimentary environments, samples of oil contaminants taken in different periods of time and samples taken at different distances from the oil spill. In all these cases, conclusion on the influence of the environment, microorganisms or migration on the oil contaminants' composition can be drawn from the comparison of chemical compositions of the investigated contaminants. However, in case of water contaminants, it is very important to define which part of organic matter has been analyzed. Namely, previous investigations showed that there were some differences in chemical composition of the same oil contaminant depending on the intensity of its contact with ground water. The aim of this work is to define more precisely the interactions between oil contaminant and water, i.e. the influence of the intensity of interaction between the oil contaminant and water on its chemical composition. The study was based on a comparison of four fractionated extracts of an oil pollutant, after they had been analyzed in details. Methods Oil polluted surface water (wastewater canal, Pančevo, Serbia) was investigated. The study was based on a comparison of four extracts of an oil contaminant: extract 1 (decanted part), and extracts 2, 3 and 4 (extracted by shaking for 1 minute, 5 minutes and 24 hours, respectively). The fractionated extracts were saponified with a solution of KOH in methanol, and neutralized with 10% hydrochloric acid. The products were dissolved in a mixture of dichloromethane and hexane, and individually fractionated by column chromatography on alumina and silica gel (saturated hydrocarbon, aromatic, alcohol and fatty acid fractions). n-Alkanes and isoprenoid aliphatic alkanes, polycyclic alkanes of sterane and triterpane types, alcohols and fatty acids were analyzed using gas chromatography (GC) and gas chromatography-mass spectrometry (GC-MS). δ13CPDB values of individual n-alkanes in the aliphatic fractions were determined using gas chromatography-isotope ratio monitoring-mass spectrometry (GC-irmMS). Results and discussion. Extracts 1 and 2 are characterized by uniform distribution of n-alkanes, whereas extract 3 is characterized by an even-numbered members dominating the odd-ones, and extract 4 showed a bimodal distribution. Extract 1 is characterized by the least negative δ13CPDB values of C19-C26 n-alkanes. Sterane and triterpane analysis confirmed that all extracts originated from the same oil contaminant. n-Fatty acids, C19-C24, in all extracts are very low, being somewhat higher in extract 4. Even-numbered n-alcohols, C12–C16, were identified in the highest concentration in extract 3. It was assumed that algae were responsible for the composition of extract 3. Furthermore, a possible reason for higher concentrations of C19–C26 n-alkanes and C19–C24 fatty acids in extract 4 is the formation of inclusion compounds with colloidal micelles formed between the oil contaminant's NSO-compounds and water. Conclusion It was undoubtedly confirmed that there were specific differences in the compositions of the different extracts depending on the intensity of the interaction between the oil contaminant and the surface water. Recommendation and Outlook. When comparing the composition of oil contaminants from different water samples (regardless of the ultimate investigation goal) it is necessary to compare the extracts isolated under the same conditions, in other words, extracts that were in the same or very similar interaction with water.     

Does Autonomy Count in Favor of Labeling Genetically Modified Food?

In this paper I argue that consumerautonomy does not count in favor of thelabeling of genetically modified foods (GMfoods) more than for the labeling of non-GMfoods. Further, reasonable considerationssupport the view that it is non-GM foods ratherthan GM foods that should be labeled.     

云南墨江金矿床的同位素地球化学及成因探讨

墨江金矿的同位土地球化学特征、成矿元素组合和包裹体成分表明：成矿物质主要未源于金厂蚀变起基性岩体，成矿热液是深源流体、岩浆水和大气降水混合的产物。成矿期深部富矿化剂流体沿断裂上升并与地下水混合，从侵入体及围岩中淋滤出了成矿物质。在迁移过程中，随着地球化学条件的改变，金在有利部位沉淀富集形成矿床。墨江金矿床底混合热液改造型矿床。