辽河流域与英国中部河湖水体中溶解有机质的荧光特性

运用三维荧光光谱技术对辽河流域和英国中部水体中溶解有机质(DOM)的荧光光谱特性进行了分析.结果表明,辽河流域各研究水体中DOM包含4种荧光组分,即类色氨酸、类酪氨酸、可见光区和紫外光区类腐殖质,通过对荧光特性定量指标的分析可知,辽河流域各研究断面水体中类腐殖质物质内源作用大于陆源,DOM具有较强的新近自生源,各河流水体中DOM腐殖化程度顺序为:浑河中游海城河中游蒲河下游太子河下游.相比之下,英国河湖中,除了River Tame含有以上4种荧光组分外,其它水体中均没有发现类酪氨酸荧光物质,甚至在River Tern中仅含有类腐殖质荧光物质,河湖中DOM含有较少的新近自生源组分,以陆源影响为主.另外,辽河流域水体中类蛋白与类腐殖质荧光峰强度比值大于英国各河流水体的平均值.由此可以推断,辽河流域各研究断面大量污染物的输入,是造成其严重内源污染的主要原因,从而使水体中DOM含量增加,英国各河流断面其DOM主要来自于水体本身存在的大量微生物和浮游植物的代谢活动以及土壤有机质经雨水的冲刷流入水体的贡献.     

我国海水养殖的生态预警评价指标体系与方法

在界定海水养殖业生态环境预警的概念基础上,初步建立了养殖业生态预警的指标评价体系和评价方法,并使用各个指标的实际观测数据进行初步模拟分析。研究发现,2001～2009年期间,2001年、2003年和2005年我国海水养殖的生态环境影响处于重警状态,2009年的生态效应处于轻警状态,其余年份均为中警状态。说明我国现有的海水养殖生态环境影响已和社会经济可持续发展产生一定程度的不协调,建议调整我国海水养殖的发展规模、降低海水养殖密度、加强海洋生态环境管理。     

污泥好氧颗粒化过程中氨氧化菌群结构的演替与分析

为了揭示颗粒污泥形成过程中氨氧化菌(AOB)群落结构的演替规律,利用变性梯度凝胶电泳(DGGE)、克隆测序和实时定量聚合酶链式反应(real-time PCR)等分子生物学技术对AOB群落的演替进行了研究。DGGE结果表明,污泥接种驯化期,AOB群结构的变化较为剧烈,在外加选择压的作用下,种群多样性迅速下降;但随着污泥颗粒化的完成而趋于稳定。测序结果表明,接种污泥中的大多数亚硝化单胞菌属因可快速适应工艺的淘洗过程而被保留在系统内,而亚硝化螺菌属逐渐被淘汰。real-time PCR结果表明,在经历了运行初期的淘洗后,AOB含量随着污泥浓度的提高而逐渐增长;但污泥的氨氧化活性随着污泥浓度的增长而降低。     

焦作市中马村矿土壤重金属污染调查评价

对焦作市中马村矿矸石山周围土壤中5种重金属(Cu、Cr、Pb、Zn、Mn)的含量、分布特征及其污染状况进行了调查与评价。结果表明,矿区土壤不同程度地受到5种重金属的污染,依次为Zn>Pb>Cu>Cr>Mn;土壤综合污染指数为1. 74,属轻污染; 5种重金属元素中Zn、Pb相关性显著,其余均为低度相关。     

江苏省2011年环境γ辐射剂量率测量比对

为了保证辐射监测数据的准确,江苏省辐射环境监测管理站组织了2011年全省环境γ辐射剂量率测量比对。结果表明,22台仪器测量结果满意,1台仪器测量数据可疑,所有仪器均未出现不满意或离群结果。测量比对有效地发现了测量存在的问题,保证监测工作结果的准确性。     

深圳市几种空气污染物浓度日变化特征分析

通过对深圳市2002年8月至2003年8月五种空气污染物浓度日变化特征、相互关系及不同天气条件下的变化,与人们活动的关系等进行分析,试图找出深圳空气污染的主要成因及变化规律,为环境规划决策提供科学依据。     

The concentrations, distribution and sources of PAHs in agricultural soils and vegetables from Shunde, Guangdong, China

The concentrations, distribution and sources of 16 polycyclic aromatic hydrocarbons (PAHs) were determined in 30 agricultural soil and 16 vegetable samples collected from subtropical Shunde area, an important manufacturing center in China. The total PAHs ranged from 33.7 to 350 μg/kg in soils, and 82 to 1,258 μg/kg in vegetables. The most abundant individual PAHs are phenanthrene, fluoranthene, chrysene, pyrene and benzo(b)fluoranthene for soil samples, and anthracene, naphthalene, phenanthrene, pyrene and chrysene for vegetable samples. Average vegetable–soil ratios of total PAHs were 2.20 for leafy vegetables and 1.27 for fruity vegetables. Total PAHs in vegetable samples are not significantly correlated to those in corresponding soil samples. Principal component analyses were conducted to distinguish samples on basis of their distribution in each town, soil type and vegetable specie. Relatively abundant soil PAHs were found in town Jun’an, Beijiao, Chencun, Lecong and Ronggui, while abundant vegetable PAHs were observed in town Jun’an, Lecong, Xingtan, Daliang and Chenchun. The highest level of total PAHs were found in vegetable soil, followed by pond sediment and “stacked soil” on pond banks. The PAHs contents in leafy vegetables are higher than those in fruity vegetables. Some PAH compound ratios suggest the PAHs derived from incomplete combustion of petroleum, coal and refuse from power generation and ceramic manufacturing, and paint spraying on furniture, as well as sewage irrigation from textile industries. Soil PAHs contents have significant logarithmic correlation with total organic carbon, which demonstrates the importance of soil organic matter as sorbent to prevent losses of PAHs.     

Polycyclic aromatic hydrocarbons and organochlorine pesticides in surface soils from the Qinghai-Tibetan plateau

Eighty eight surface soil samples were collected from the Qinghai-Tibetan Plateau (QTP) for determination of polycyclic aromatic hydrocarbons (PAHs) and organochlorine pesticides (OCPs), including dichlorodiphenyltrichloroethane and metabolites (DDXs) and hexachlorocyclohexane isomers (HCHs). The measured concentrations were 51.8 ± 38.5 ng g(-1), 0.329 ± 0.818 ng g(-1), and 0.467 ± 0.741 ng g(-1) as means and standard deviations of PAHs, DDXs, and HCHs, respectively, which were 1-2 orders of magnitude lower than those reported for eastern China. Significant differences were also revealed among four sub-areas within QTP. PAHs detected in the samples from the remote sub-areas of T'ang-ku-la/Hoh Xil Mountains and along the Qinghai-Tibet highway in the west and northwest of QTP were 1 order of magnitude lower than those from Lhasa and east Qinghai. The differences in soil OCPs among the sub-areas were 2-7 times. Soil PAHs were significantly correlated with emission density and soil organic carbon content (SOC), while OCPs were correlated significantly with the population density and SOC. Based on the calculated backward air mass trajectories and geographical distributions of emission and population, it was revealed that PAHs and OCPs accumulated in the soils in the west and northwest QTP were primarily from long-range transport and may represent the background levels of East Asia. This part of QTP can also serve as an important receptor area for regional or even global long-range transport study. The elevated concentrations of PAHs and OCPs in Lhasa and east Qinghai were mainly from local sources, while PAHs from adjacent Lanzhou area also contributed considerably to the accumulation of PAHs in east Qinghai.     

国家重点生态功能区县域环境监测质量评价方法及应用示范

以国家重点生态功能区县域环境监测质量评价为目标,综合应用德尔菲法、层次分析法和模糊综合评价法,构建了国家重点生态功能区县域环境监测质量评价方法,并确定了评价因子、权重系数、计算方法。该方法评价指标共分为三层:第一层为目标层,即国家重点生态功能区县域环境监测质量;第二层为准则层,包括人员及资质、现场监测、实验室管理、报告编制及数据上报;第三层为方案层,包括人员操作、持证上岗、资质认定、人员培训、水质布点采样流转情况、空气自动站运维情况、现场质控实施情况、实验室环境条件、样品试剂的保存与管理、仪器检定与校准、实验室质量控制实施情况、数据填报软件运行情况、监测报告规范性等13个评价要素。经矩阵一致性检验确定了各评价要素的权重,将该权重与各要素得分运算后得到县域环境监测质量评价结果。在此基础上,选取广东、山西、陕西、四川和青海等5个省份的15个国家重点生态功能区县域作为典型区开展了实地调研,并应用评价体系对其进行了监测质量等级评价。结果表明,15个典型县域中,环境监测质量等级为优的县域占13.3%,一般、较差的县域分别占66.7%、20%。县域环境监测承担单位在资质、报告编制及数据上报方面表现较好,在现场监测、人员操作方面问题突出,在实验室管理方面有待提升。     

高海拔排土场边坡安全稳定性的PS⁃InSAR监测

为了解决高海拔排土场边坡灾害监测难度大以及安全稳定性预警等问题,提出利用 PS-InSAR 技术对高海拔排土场边坡进行安全稳定性监测分析。通过对西藏山南桑日县某排土场边坡进行监测分析研究,采用 2018 年 11 月 04 日至 2020 年 12 月 23 日的 25 景 Sentinel-1A 数据,利用时序差分干涉相位的时空分析方法,进行差分干涉、模型迭代计算和地理编码等解算,解算得到平均形变速率分布,基于平均形变速率结果分析该排土场边坡的安全稳定性。结果表明：利用 PS-InSAR 技术能够获取排土场边坡区域的地表形变信息;该研究区域坡体 2018 年 11 月至 2020 年 12 月的平均形变速率最大值为 -20.00 mm/a,最大形变速率区域出现在排土场边坡的下部 ;通过 PS-InSAR 技术能够对其安全稳定状态进行准确评价,并进行预警预报,为排土场边坡的安全稳定服役提供有效技术保证。