被动采样法表征降水离子浓度和通量的局限性

降水(湿沉降)是大气污染物进入地表环境的主要途径,由于传统的被动采样法易受到颗粒物和气体干沉降的干扰,而采集到的混合沉降样品不能科学表征降水化学组成,也不能准确量化湿沉降通量,因此目前正逐步被主动采样法所取代. 采用主动和被动2种采样法同步采集了降水样品,以考察被动采样法表征降水离子浓度和通量的适用性. 结果表明:被动采样法采集的降水样品中离子浓度明显偏高,其中ρ(NO₃-)、ρ(Mg2+)、ρ(Ca2+)、ρ(K+)、ρ(Cl-)、ρ(SO₄2-)、ρ(Na+)和ρ(NH₄+)分别比主动采样法高65%、58%、43%、41%、35%、26%、10%和9%. 受大气污染物干沉降影响,被动采样法获得的NO₃-、NH₄+和SO₄2-混合沉降通量分别比主动采样法获得的湿沉降通量高79%、18%和35%,差异最显著的是NO₃-. 被动采样法可以收集氮和硫的湿沉降,但不能有效捕获二者以颗粒物和气体形式发生的干沉降,对二者沉降总通量(干沉降通量+湿沉降通量)低估达39%〔23 kg/(hm2·a)〕和40%〔20 kg/(hm2·a)〕. 因此,鉴于大气污染形势日趋严重,污染物的干沉降作用凸显,被动采样法已难以准确测算污染物从大气向地表的沉降总通量,需要全面考虑细颗粒物(粒径≤2.5 μm)和气态物种(如HNO₃)的贡献.      

地块尺度城市土地质量地球化学调查方法:以雄安新区起步区为例

以土地质量地球化学调查评价成果服务于城市土地资源精准管护为目标,选择中国城镇化探路者的雄安新区起步区为研究对象,采用差异化分类布设样点,开展不同采样密度条件下地块尺度土壤元素空间插值精度、地块（图斑）插值精度和地球化学预测评价等级准确度的定量评估研究.结果表明：①采用差异化分类布设样点方法使平面上随机分布的区域地球化学量变值在每一个地块（图斑）都有明确的量值反映,能满足城市土地资源精准管护对单一地块（图斑）具有质量属性的基本需求;②研究区土壤元素指标空间变异性以轻中度为主;其中Hg、Pb、Cd、Cu、Zn、N、P和Se受人类生产活动影响,具有较高的空间变异性;③相同采样密度条件下,元素含量空间变异性越大,其空间插值精度和图斑插值精度越低;同一种元素插值精度受采样密度的影响,但采样密度的增大并不一定能够识别土壤元素含量的结构性连续组分;区内土壤环境本底清洁,重金属含量低于GB15618-2018标准,其插值评价等级和实测评价等级结果基本一致;养分指标N、P和K含量区间变化大,受人为扰动和空间变异性等因素影响,其预测等级和实测等级差异较大;④采用16点·km^-2的采样密度开展地块尺度城市土地质量地球化学调查评价可以满足研究区及类似地区城市土地资源精准管控的需求.     

Determination of VOCs in groundwater at an industrial contamination site using a homemade low-density polyethylene passive diffusion sampler

A home-made inexpensive passive diffusion bag （PDB） sampler, prepared by filling deionized water in low-density polyethylene （LDPE） tubes, was evaluated for volatile organic compounds （VOC） sampling in groundwater at industrial contamination sites. Impacts of environmentally relevant conditions on the sampling equilibration time and partitioning of VOCs between the sampler and the water sample were investigated. Sample salinity, agitation and temperature can influence the equilibration time, but generally sampling equilibration was obtained in 14 days under real field sampling of VOCs in groundwater. Both laboratory study and field testing in a contaminated site showed that the VOC concentrations in the developed sampler were equal to those in the water samples at equitibrium. Coupled with a purge and trap concentrator-gas chromatograph-mass spectrometer （P＆T-GC-MS）, the developed PDB sampler provided a low-cost sampling device for routine monitoring of VOCs in groundwater in wells, with LODs in the range of 2.9-10 μg/L. The proposed PDB was applied to determine VOCs in groundwater at an industrial contamination site, and the present results agreed well with those determined using conventional pump-and-sample monitoring. All the studied 13 VOCs were tested in the four wells in the industrial contamination sites, with their concentrations in the range of 12-73660 μg/L. In addition, while benzene and toluene were heavily contaminated up to a maximum concentration of 74000 μg/L and 6000 μg/L, respectively, 1,2,3-trichlorobenzene and bromobenzene had relatively low contamination levels （below 25 μg/L）.     

沈阳市大气细菌与真菌粒子的关系

用ＡＮＤＥＲＳＥＮ生物粒子采样器对沈阳市大气细菌和真菌粒子的密度、密度分布、粒度分布及两者关系进行了观察和。结果表明，沈阳市大气年平均密度细菌粒子为７２２８个／ｍ＾３，真菌粒子为１７９７个／ｍ＾３，细菌为真菌的４．１倍。细菌粒子密度和粒度均呈正偏态分布，真菌粒子密度和粒度均呈对数正态分布。〈８．２μｍ的可吸入粒子，细菌为４３２６个／ｍ＾３，占其总数的６１．４％；真菌为１５８３个／ｍ＾３，占其总数的     

海洋大气氯离子采集过程饱和现象研究

采用我国大气网站规定的连续法,以(10±2)d和(30±2)d 2种采样周期对万宁试验站近海暴露场的大气氯离子进行了为期1 a的监测。研究证实,我国现行氯离子测试方法在海洋大气氯离子采集过程中存在饱和现象,风速对饱和程度的影响很复杂,既能加重饱和程度也能减轻饱和程度。     

北京地区大气中汞污染状况的初步调查

用镀金细砂填充的石英采样管在采暖期的非采暖期于北京地区七个采样点收集空气中的气态汞,用二步汞齐化原子吸收法测定其浓度并与实时分析结果进行比较,两种方法的结果都表明,采暖期北京地区大气中汞的浓度低于非采暖期大气中汞的浓度,对于除燃煤以外汞的来源尚需进一步研究。     

Estimating the number of active and successful bald eagle nests:an application of the dual frame method

Monitoring the number of animals in a wildlife population is an important task. In this paper, we estimate the number of active and successful bald eagle nests in a specific region using dual frame sampling techniques. The dual frame method combines independent samples from an incomplete list frame and an area frame that is assumed to be complete. Hartley's screening estimator is used to combine sample information from both frames. This methodology will be useful for monitoring any wildlife population where the breeding individuals have highly visible nesting territories which tend to be stable over many years.     

Space-time statistics for environmental and agricultural related phenomena

This paper presents an overview of space-time statistical procedures to analyse agricultural and environmental related phenomena. It starts with an application on root-rot development in cotton. Dependence modelling in space and time is done with the space-time variogram. Various kriging interpolators are presented for making predictions in space and time. Simulated annealing is used to design an optimal monitoring network for estimation of space-time variograms. In the application no clear indication was found for anisotropy, although strong evidence exists that the disease not only proceeds within rows but also jumps between rows. The optimal sampling scheme showed a spatial clustering of observations at the first and the last monitoring day and less observations at intermediate times.     

Line transect sampling of Karner blue butterflies ( Lycaeides melissa samuelis)

Line transect sampling is an effective survey method for estimating butterfly densities because it provides unbiased estimates of site-density (provided key assumptions are met), and estimates are comparable among sites. For monitoring Karner blue butterflies in Wisconsin, USA, comparable estimates are required because each year a different selection of sites will be monitored. Annual state-wide indices of species abundance can be derived from the site-surveys and compared to previous year's indices to monitor trends. We advocate that line transect sampling is preferable to Pollard-Yates transects as a survey technique for monitoring Karner blue butter- flies. The Pollard-Yates surveys do not adjust for diferences in site detectability. As a consequence, estimates of among-site from Pollard-Yates surveys can be biased. © Rapid Science 1998     

Use of best linear unbiased prediction for hot spot identification in two-way compositing

Compositing of individual samples is a cost-effective method for estimating a population mean, but at the expense of losing information about the individual sample values. The largest of these sample values (hotspot) is sometimes of particular interest. Sweep-out methods attempt to identify the hotspot and its value by quantifying a (hopefully, small) subset of individual values as well as the usual quantification of the composites. Sweep-out design is concerned with the sequential selection of individual samples for quantification on the basis of all earlier quantifications (both composite and individual). The design-goal is for the number of individual quantifications to be small (ideally, minimal). Previous sweep-out designs have applied to traditional (i.e., disjoint) compositing. This paper describes a sweep-out design suitable for two-way compositing. That is, the individual samples are arranged in a rectangular array and a composite is formed from each row and also from each column. At each step, the design employs all available measurements (composite and individual) to form the best linear unbiased predictions for the currently unquantified cells. The cell corresponding to the largest predicted value is chosen next for individual measurement. The procedure terminates when the hotspot has been identified with certainty.