甲醛法在测定固定污染源排放SO2浓度中的应用

对用注射器采样甲醛法测定高浓度ＳＯ２样气精密度、准确度，采样效率，样品的稳定性进行了研究，并应用于燃煤，燃油锅炉排气中ＳＯ２浓度的测定，同时与碘量法结果进行比较和评价，表明注射器采样甲醛法测定了ＳＯ２基本可行。     

绵阳大气中二氧化硫浓度升高的原因探讨

针对1990年和1991年绵阳市SO_2浓度升高,尤其是1990年和1991年元月监测的SO_2浓度值更高。经研究发现监测采样时的气象条件对污染物测定值产生重要影响。     

Network inclusion probabilities and Horvitz-Thompson estimation for adaptive simple Latin square sampling

Consider a survey of a plant or animal species in which abundance or presence/absence will be recorded. Further assume that the presence of the plant or animal is rare and tends to cluster. A sampling design will be implemented to determine which units to sample within the study region. Adaptive cluster sampling designs Thompson (1990) are sampling designs that are implemented by first selecting a sample of units according to some conventional probability sampling design. Then, whenever a specified criterion is satisfied upon measuring the variable of interest, additional units are adaptively sampled in neighborhoods of those units satisfying the criterion. The success of these adaptive designs depends on the probabilities of finding the rare clustered events, called networks. This research uses combinatorial generating functions to calculate network inclusion probabilities associated with a simple Latin square sample. It will be shown that, in general, adaptive simple Latin square sampling when compared to adaptive simple random sampling will (i) yield higher network inclusion probabilities and (ii) provide Horvitz-Thompson estimators with smaller variability.     

Parameter uncertainties in the modelling of vegetation dynamics—Effects on tree community structure and ecosystem functioning in European forest biomes

Dynamic vegetation models are useful tools for analysing terrestrial ecosystem processes and their interactions with climate through variations in carbon and water exchange. Long-term changes in structure and composition (vegetation dynamics) caused by altered competitive strength between plant functional types (PFTs) are attracting increasing attention as controls on ecosystem functioning and potential feedbacks to climate. Imperfect process knowledge and limited observational data restrict the possibility to parameterise these processes adequately and potentially contribute to uncertainty in model results. This study addresses uncertainty among parameters scaling vegetation dynamic processes in a process-based ecosystem model, LPJ-GUESS, designed for regional-scale studies, with the objective to assess the extent to which this uncertainty propagates to additional uncertainty in the tree community structure (in terms of the tree functional types present and their relative abundance) and thus to ecosystem functioning (carbon storage and fluxes). The results clearly indicate that the uncertainties in parameterisation can lead to a shift in competitive balance, most strikingly among deciduous tree PFTs, with dominance of either shade-tolerant or shade-intolerant PFTs being possible, depending on the choice of plausible parameter values. Despite this uncertainty, our results indicate that the resulting effect on ecosystem functioning is low. Since the vegetation dynamics in LPJ-GUESS are representative for the more complex Earth system models now being applied within ecosystem and climate research, we assume that our findings will be of general relevance. We suggest that, in terms of carbon storage and fluxes, the heavier parameterisation requirement of the processes involved does not widen the overall uncertainty in model predictions.     

日本废弃物的管理制度与研究现状 Ⅲ.日本废弃物的试验分析方法体系 (B)产业废弃物的采样与制样方法

本文介绍了日本产业废弃物的采样方法并详细介绍了溶出试验和含量试验试液的制备方法及其适用范围,对测定重金属用试液的前处理方法也做了简要介绍。     

Temporal trends in opportunistic citizen science reports across multiple taxa

Opportunistic reporting of species observations to online platforms provide one of the most extensive sources of information about the distribution and status of organisms in the wild. The lack of a clear sampling design, and changes in reporting over time, leads to challenges when analysing these data for temporal change in organisms. To better understand temporal changes in reporting, we use records submitted to an online platform in Sweden (Artportalen), currently containing 80 million records. Focussing on five taxonomic groups, fungi, plants, beetles, butterflies and birds, we decompose change in reporting into long-term and seasonal trends, and effects of weekdays, holidays and weather variables. The large surge in number of records since the launch of the, initially taxa-specific, portals is accompanied by non-trivial long-term and seasonal changes that differ between the taxonomic groups and are likely due to changes in, and differences between, the user communities and observer behaviour. Supplementary InformationThe online version contains supplementary material available at 10.1007/s13280-021-01550-w.     

固定污染源排放可凝结颗粒物采样方法综述

综述了国内外固定污染源可凝结颗粒物(CPM)冲击冷凝法和稀释冷凝法2种采样方法,指出CPM是固定污染源排放颗粒物的重要组成部分,国内对于固定污染源CPM排放的监测和研究尚处于起步阶段,缺乏必要的CPM采样标准方法。通过分析2种采样方法的优缺点,提出冲击冷凝采样法需进一步降低SO_2等水溶性气体的影响,提高气相CPM冷凝效果及超细颗粒态CPM的捕集效率;稀释冷凝法需提高采样装置的便携性实现可过滤颗粒物(FPM)和CPM的分离采样,提高采样管路壁面颗粒物回收率。同时,针对我国固定污染源如燃煤电厂大量使用湿法脱硫设备的情况,CPM采样方法需提高对低温高湿且夹带液滴烟气采样的适用性。     

基于Kriging模型的载人航天某装置结构优化设计研究

对于处在振动环境中的载人航天某装置复杂结构,设计过程中存在最小化质量、同时最大化一阶整体振动频率的多目标优化问题,可以利用多目标遗传算法(NSGA-II)求解得到Pareto最优解集,但利用NSGA-II进行求解计算量大,对于复杂结构更甚。为了节省计算时间,提出基于Kriging代理模型的复杂结构多目标优化设计方法,首先通过拉丁超立方采样获得样本点,然后通过样本点创建Kriging模型,最后利用多目标遗传算法求解代理模型得到Pareto最优解集,方便设计师从中选择最优解,优化结果表明本文所述方法合理有效。     

Possible treatments for arsenic removal in Latin American waters for human consumption

Considering the toxic effects of arsenic, the World Health Organization recommends a maximum concentration of 10 μg L⁻¹ of arsenic in drinking water. Latin American populations present severe health problems due to consumption of waters with high arsenic contents. The physicochemical properties of surface and groundwaters are different from those of other more studied regions of the planet, and the problem is still publicly unknown. Methods for arsenic removal suitable to be applied in Latin American waters are here summarized and commented. Conventional technologies (oxidation, coagulation-coprecipitation, adsorption, reverse osmosis, use of ion exchangers) are described, but emphasis is made in emergent decentralized economical methods as the use of inexpensive natural adsorbents, solar light technologies or biological treatments, as essential to palliate the situation in poor, isolated and dispersed populations of Latin American regions.     

Reflexive assessment of practical and holistic sanitation development tools using the rural and peri-urban case of Mexico

Lack of sanitation affects the lives of billions of people worldwide. It is now generally agreed that sustainable solutions to this complex problem require social and cultural factors to be addressed in addition to the habitual economic and technical aspects. Increasingly, sector professionals view the fragmented approaches to sanitation as a limiting factor. This refers to the fragmentation of the knowledge on the subject among often hermetic disciplines and to the distribution of political mandates on sanitation across many institutions, which independently tackle specific aspects of the issue. Holistic approaches have often been suggested as a solution. This paper presents the development of such a holistic approach, designed to assess sanitation development in rural and peri-urban settings. Tested in three Mexican communities, it relies on qualitative research tools to identify critical influences to sanitation development. This article presents generic results about micro and macro-factors affecting sanitation development in Mexican villages, and reflexively examines the research process as well as the strengths and limitations of the approach. The conceptual map developed for each case study successfully highlights the interconnectedness of all factors affecting sanitation development. Despite some weaknesses, these maps constitute a practical assessment tool for interdisciplinary teams deployed in integrated water and sanitation development programs and a valuable didactic tool for training activities.