北京市道路积雪污染及特性研究

通过2009~2012年对北京市区道路旁积雪的取样,分析了积雪中污染物的浓度和特性,并对国内外普遍关注的融雪剂污染问题及其控制进行了初步分析。得出道路积雪中+NH 4-N、TN、TP、COD、SS、Cd等污染物主要来自交通活动,氯化物主要来自氯盐融雪剂;与《地表水环境质量标准》相比,道路积雪中主要污染物为NH+4-N、TN、COD、BOD和氯化物,Cu、Zn、Pb、Cd等重金属的污染水平不高,可达到Ⅴ类水体标准;相同地点近似降水量条件下,积雪中TP、COD、SS的平均浓度高于降雨径流;北京市交通主干道及人行道上喷撒氯盐融雪剂的量高于国外道路,控制其污染主要通过源头减少使用量、使用替代融雪剂、严格融雪剂标准和使用方法、严肃责任追究、加强宣传教育等措施。     

Metals and organic pollutants in snow surrounding an iron factory

To estimate air pollution snow samples were collected in March 2001 at six sites in the vicinity of the Kostomuksha factory in Karelia. Seventy-two chemical elements and more than 200 individual organic compounds were identified by inductively coupled plasma mass spectrometry (ICP-MS) and gas chromatography mass spectrometry (GC-MS). It was found that the levels of Li, B, Al, Fe, Ni, Cu, Zn, Hg, Mn, Mo as well as hydrocarbons, phthalates and phenols exceeded the existing maximum allowable concentrations. A list of toxicants emitted with the factory exhausts and a list of priority pollutants for Kostomuksha were compiled. The impact of the exhausts of the Kostomuksha factory on the environment in Finland is relatively small. Electronic Publication     

2008年初特大冰雪灾害对粤北地区杉木（Cunninghamia lanceolata）人工林土壤理化性质的影响

2008年8月,选择具有代表性的样地（受冰雪灾害较轻、受到冰雪灾害影响、受到冰雪灾害后皆伐清理样地）,用野外调查和室内分析相结合的方法,对广东省天井山林场杉木人工林土壤理化性质进行分析。结果表明：（1）粤北地区杉木人工林在受到冰雪灾害后,0-60 cm的土壤容重比未受到损害的上升8.1%-16.4%,孔隙度下降8.9%-11.9%,自然含水量减少17.1%-28.6%,皆伐清理后,土壤容重比未受到损害的下降1.5%~9.5%;孔隙度上升1.2%~5.9%,自然含水量增加44.2%~68.1%。（2）受损后,土壤pH值未发生变化,浅层（0-40 cm）有机质质量分数比未损样地下降（1.3%-9.4%）,深层（〉40 cm）有机质质量分数提高30.5%;各层土壤全氮、全磷、有效氮、有效磷和有效钾质量分数分别下降13.4%、30.3%、16.7%、37.6%和37.2%,全钾质量分数上升21.0%,且与未损样地的差异显著;土壤交换性钙和交换性镁大幅减少,分别为28.1%和43.4%。进行皆伐清理后,有机质质量分数比未损样地提高207.9%,土壤全氮、全钾、有效氮和有效磷质量分数升高138.7%、10.2%、161.3%和540.0%,全磷、有效钾、交换性钙和交换性镁的质量分数下降2.6%、9.0%、28.7%和24.3%,各土层变化不一致。（3）冰雪灾害的发生使杉木人工林林下土壤紧实度增加,不利于土壤呼吸、空气传导和土壤养分的累积;而经过清理后,土壤变得较为疏松,通透性增强,含水量增加,有利于土壤团粒结构的增强、土壤微生物活动和土壤养分的累积及转化。因此,冰雪灾害后对受损林地进行及时的清理对植被恢复重建尤为重要。     

Identification of magnetic particulates in road dust accumulated on roadside snow using magnetic, geochemical and micro-morphological analyses

The aim of this study is to test the applicability of snow surveying in the collection and detailed characterization of vehicle-derived magnetic particles. Road dust extracted from snow, collected near a busy urban highway and a low traffic road in a rural environment (southern Finland), was studied using magnetic, geochemical and micro-morphological analyses. Significant differences in horizontal distribution of mass specific magnetic susceptibility (χ) were noticed for both roads. Multi-domain (MD) magnetite was identified as the primary magnetic mineral. Scanning electron microscope (SEM) analyses of road dust from both roads revealed: (1) angular-shaped particles (diameter ∼1-300 μm) mostly composed of Fe, Cr and Ni, derived from circulation of motor vehicles and (2) iron-rich spherules (d ∼ 2-70 μm). Tungsten-rich particles (d < 2 μm), derived from tyre stud abrasion were also identified. Additionally, a decreasing trend in χ and selected trace elements was observed with increasing distance from the road edge.     

Sampling and physico-chemical analysis of precipitation: a review

Wet deposition is one of two processes governing the transfer of beneficial and toxic chemicals from the atmosphere on to surfaces. Since the early 1970s, numerous investigators have sampled and analyzed precipitation for their chemical constituents, in the context of "acidic rain" and related atmospheric processes. Since then, significant advances have been made in our understanding of how to sample rain, cloud and fog water to preserve their physico-chemical integrity prior to analyses. Since the 1970s large-scale precipitation sampling networks have been in operation to broadly address regional and multi-regional issues. However, in examining the results from such efforts at a site-specific level, concerns have been raised about the accuracy and precision of the information gathered. There is mounting evidence to demonstrate the instability of precipitation samples (e.g. with N species) that have been subjected to prolonged ambient or field conditions. At the present time precipitation sampling procedures allow unrefrigerated or refrigerated collection of wet deposition from individual events, sequential fractions within events, in situ continuous chemical analyses in the field and even sampling of single or individual rain, cloud and fog droplets. Similarly analytical procedures of precipitation composition have advanced from time-consuming methods to rapid and simultaneous analyses of major anions and cations, from bulk samples to single droplets. For example, analytical techniques have evolved from colorimetry to ion chromatography to capillary electrophoresis. Overall, these advances allow a better understanding of heterogeneous reactions and atmospheric pollutant scavenging processes by precipitation. In addition, from an environmental perspective, these advances allow better quantification of semi-labile (e.g. NH4+, frequently its deposition values are underestimated) or labile species [e.g. S (IV)] in precipitation and measurements of toxic chemicals such as Hg and PCBs (polychlorinated biphenyls). Similarly, methods now exist for source-receptor studies, using for example, the characterization of reduced elemental states and/or the use of stable isotopes in precipitation as tracers. Future studies on the relationship between atmospheric deposition and environmental impacts must exploit these advances. This review provides a comprehensive and comparative treatment of the state of the art sampling methods of precipitation and its physico-chemical analysis.     

Wind Tunnel Experiments and Numerical Simulation of Snow Drifting around an Avalanche Protecting Dam

To learn about wind flow and snow drifting around avalanche dams, experiments were done in the Jules Verne Climatic Wind Tunnel. The paper reports the results from numerical wind flow simulations that were done to support the findings from the wind tunnel. Satisfying the model similitude criteria for the wind tunnel configuration was difficult due to the inevitable small geometric scale of the model, while on the contrary the snow drifting conditions in the facilities were full scale. By comparing numerical wind flow results of full scale and model scale dams with the snow pattern observed in the wind tunnel, it was possible to conclude that albeit poor model similitude, the snowdrifts on the windward side of the wind tunnel model are likely to indicate the full scale natural situation.     

Assessment of Biological and Environmental Phenology at a Landscape Level from 30 Years of Fixed-Date Repeat Photography in Northern Sweden

A 30-year series (1978–2007) of photographic records were analysed to determine changes in lake ice cover, local (low elevation) and montane (high elevation) snow cover and phenological stages of mountain birch (Betula pubescens ssp. czerepanovii) at the Abisko Scientific Research Station, Sweden. In most cases, the photographic-derived data showed no significant difference in phenophase score from manually observed field records from the same period, demonstrating the accuracy and potential of using weekly repeat photography as a quicker, cheaper and more adaptable tool to remotely study phenology in both biological and physical systems. Overall, increases in ambient temperatures coupled with decreases in winter ice and snow cover, and earlier occurrence of birch foliage, signal a reduction in the length of winter, a shift towards earlier springs and an increase in the length of available growing season in the Swedish sub-arctic.     

Multi-decadal changes in tundra environments and ecosystems: synthesis of the International Polar Year-Back to the Future project (IPY-BTF)

Understanding the responses of tundra systems to global change has global implications. Most tundra regions lack sustained environmental monitoring and one of the only ways to document multi-decadal change is to resample historic research sites. The International Polar Year (IPY) provided a unique opportunity for such research through the Back to the Future (BTF) project (IPY project #512). This article synthesizes the results from 13 papers within this Ambio Special Issue. Abiotic changes include glacial recession in the Altai Mountains, Russia; increased snow depth and hardness, permafrost warming, and increased growing season length in sub-arctic Sweden; drying of ponds in Greenland; increased nutrient availability in Alaskan tundra ponds, and warming at most locations studied. Biotic changes ranged from relatively minor plant community change at two sites in Greenland to moderate change in the Yukon, and to dramatic increases in shrub and tree density on Herschel Island, and in subarctic Sweden. The population of geese tripled at one site in northeast Greenland where biomass in non-grazed plots doubled. A model parameterized using results from a BTF study forecasts substantial declines in all snowbeds and increases in shrub tundra on Niwot Ridge, Colorado over the next century. In general, results support and provide improved capacities for validating experimental manipulation, remote sensing, and modeling studies.     

中国的冰雪灾害及其发展趋势

中国每年都有不同程度的冰雪灾害发生，冰雪灾害成为中国西部和北部经济发展的一个制约因素。最近１００～１５０年内，气候变暖将显著地减少冰冻圈的区域范围与数量，这种减少对有关的生态系统和社会经济活动将产生明显的影响。山地冰川的冰雪丧失和退缩将是惊人的。小冰川分布地区，如祁连山、阿尔泰山等，随着预料的变暖在未来１００年内将大部分消失；但喀喇昆仑山、帕米尔、天山以及喜马拉雅山等的那些大冰川将持续存在到２２世纪。冰川阻寒湖溃决洪水规模将日益变小。随着气候变化，冰雪融水径流将发生明显变化。随着气候变暖，季节性积雪的范围、积雪期和厚度将减少，从整体说，季节性积雪灾害（如雪崩、风吹雪）将变轻。海冰的范围和厚度将发生巨大变化，不仅是由于气候变暖，而且由于大气和大洋两者的环流形式发生变化，我们预期：黄海和渤海的海冰和北方地区河冰将显著减少，因此，河冰、海冰灾害亦将变轻。