Variation in spatial pattern of criteria air pollutants before and during initial rain of monsoon

Spatial patterns of various criteria air pollutants,like SO₂, NO₂, O₃, and TSP were studied atShahdara National Ambient Air Quality Monitoring stationin Delhi (India) in July 1999. The minimum pollutantconcentrations were observed during morning hours,whereas the highest concentrations were found during thelate night hours, which seem to be related with thevehicular emission. Pre-monsoon daily ambient airquality spatial pattern was compared with the spatialpattern during initial and subsequent rain shower ofmonsoon. These spatial patterns were found to beessentially the same before and during rain, however asignificant decrease in SO₂, NO₂ and TSPconcentrations (40-45%) was observed after initial andsubsequent rains of the monsoon, demonstrating theimportance of rainfall in the scavenging of thesecriteria air pollutants.     

Assessment of Wet Sulfate Concentration Changes at CAPMoN Sites, Canada

This paper describes a statistical analysis of wet sulfate deposition data sampled by the Canadian Air and Precipitation Monitoring Network (CAPMoN) since 1988 till 1997. The goal of the investigation is to detect presence of prevailing significant changes in the probability distribution of annual samples collected by the network at each site. The considerations are based on a first order autoregression model with second order polynomial trend and methods used for analysis of variance and multiple comparison. Unlike studies suggesting existence of long term trends in the data, methods applied here indicate absence of any systematic changes in the observed annual concentration patterns at most of the sites.     

Precipitation and aerosol studies in India

In India, rain water and atmospheric aerosols are observed to bealkaline in nature due to the influence of soil-derivedparticles which are rich in components like Ca and Mg. Thesecomponents increase the neutralization potential of rain waterand have a greater influence at rural site compared to urbansite. However, if there are continuous rains, the concentrationof crustal components becomes lower resulting in lower pH ofrain water. Unlike the characteristics of rain water oncontinent, the pH of rain water has been observed to be acidicin all the events over the Indian Ocean during Pre-campaigns ofIndian Ocean Experiment (INDOEX). The possible reason for acidicrains over Indian Ocean could be the anthropogenic contributionfrom continent transported by NE winds coming towards the oceanduring this period.     

酸雨对混凝土建筑物和文物损坏机理的研究

介绍了酸雨对混凝土建筑物和文物损坏机理的宏观分析,水泥中加入少量石膏,可延缓凝结时间,但当加入量大,将引起水泥膨胀,以致溃裂,探讨了酸雨对混凝土建筑物与文物损坏的微观分析,特别是酸雨等生成各种硫酸盐,通过从化学反应原理上分析了酸雨中二氧化硫与混凝土中钙离子反应生成石膏机理,从石膏特性上探讨了酸雨对混凝土建筑物和文物侵蚀机制,并由此提出了酸雨条件下保护混凝土建筑物和文物应对措施。     

Evaluation of Satellite‐Derived Rainfall Data for Multiple Physio‐Climatic Regions in the Santiago River Basin,Mexico

Assessment of water resources requires reliable rainfall data, and rain gauge networks may not provide adequate spatial representation due to limited point measurements. The Tropical Rainfall Measuring Mission (TRMM) provides rainfall data at global scale, and has been used with good results. However, TRMM data are an indirect measurement of rainfall, and therefore must be validated for its proper use. In this work, a validation scheme was designed and implemented to compare the TRMM Version 7 (V7) monthly rainfall product at different time frames with data measured in two hydrologic subregions of the Santiago River Basin (SRB) in Mexico: Río Alto Santiago and Río Bajo Santiago (RBS). Additionally, three physio‐climatic regions provide an assessment of the interplay of topography, distance from coastal regions, and seasonal weather patterns on the correspondence between both datasets. The TRMM V7 rainfall product exhibited good agreement with the rain gauge data particularly for the RBS and for the whole SRB during wettest summer and autumn seasons. However, strong regional dependence was observed due to differences in climate and topography. Overall, in spite of some noted underestimations, the monthly TRMM V7 rainfall product was found to provide useful information that can be used to complement limited monitoring as is the case of RBS. An improved combined rainfall product could be generated and thus gaining the most benefits from both data sources.     

Socio-economic predictors of domestic wood use in an Atlantic forest area (north-east Brazil): a tool for directing conservation efforts

Given the excessive use pressure on forests, characterisation of the major users of forest resources can help guide conservation efforts. This study examines whether socio-economic variables explain domestic wood use in an area of Atlantic forest in the community of Três Ladeiras (Pernambuco, north-east Brazil). Socio-economic data were collected from 62 households, and geometric measurements of wood products in each household were taken to calculate the wood volume. An informant in each household indicated the average replacement time for each type of wood use. Data were analysed for static volume (wood volume found at the time of the visit) and dynamic volume (rate of wood consumption, calculated as the ratio between volume and replacement time). Multiple regression analyses were performed to determine the relationships between wood volume (static and dynamic) and the number of species used; independent variables including monthly family income, number of residents, average age of heads of the household, age of oldest household member, average residence time of heads of the household, average education level of heads of the household and education level of the most educated household member. Monthly income was inversely related to the static wood volume (adjusted R ² = 17.6%, p < 0.001), rate of wood consumption (adjusted R ² = 23.0%, p < 0.001) and number of species used (adjusted R ² = 22.3%, p < 0.001) and was the most important predictive variable for these three outcomes. Other factors such as average education level and average age of heads of the household were also explanatory variables of the total rate of wood consumption, as these two variables, together with monthly family income, explain 31.3% of the total dynamic volume. Given the high importance of income in our study, we suggest that future conservation strategies give special attention to the poorest members of the community.     

土壤酸化对温室气体排放影响的培育实验研究

利用不同pH值的模拟酸雨(SAR)淋洗处理42个月获得具有不同累积酸化程度土壤,对其进行室内培养并研究了土壤温室气体CO₂、CH₄和N₂O的排放特征.结果表明,一定的酸化累积促进CO₂排放,而累积到某值时(如pH3.0₅酸化累积程度的加深而增加.相关分析显示,土壤pH值不是造成不同累积酸化程度土壤温室气体排放差异的直接原因;CO₂和CH₄排放差异主要是由于酸化累积过程导致土壤碳、氮以及其他养分元素含量的差异造成的,而导致N₂O排放差异的产生原因却十分复杂.     

土壤-植物系统中模拟酸雨与Cd复合污染的短期环境效应--黄豆盆栽试验

通过盆栽实验,研究了在黄豆(Glycne max)的一个生长周期内,模拟酸雨与Cd复合污染对土壤基本性质的影响,模拟酸雨作用下土壤-植物系统中Cd的迁移转化规律以及模拟酸雨与Cd复合污染对黄豆生长与生理特性的影响,探讨了土壤-植物系统中这种复合污染的短期环境效应.结果表明,短期内模拟酸雨和Cd污染对土壤-植物系统都有致害作用,但Cd污染的效应大于模拟酸雨的效应,模拟酸雨与Cd复合污染环境效应大于这2种污染物的单因素效应,且表现出明显的协同作用.在本试验条件下,pH值为3.5的模拟酸雨和20 mg·kg-1Cd的处理组合对土壤-植物系统的危害最严重.尽管在短期内,协同作用仅在土壤交换态Cd含量、黄豆茎和根中的Cd含量这3项指标上得到一定程度的体现,但这种复合污染的化学机制和环境效应值得关注,这2种污染物长时期共同作用对土壤-植物系统的影响也值得深入研究.     

Winter Hydrology and NO3− Concentrations in a Forested Watershed: A Detailed Field Study in the Adirondack Mountains of New York1

Abstract: More than 85% of NO₃^? losses from watersheds in the northeastern United States are exported during winter months (October 1 to May 30). Interannual variability in NO₃^? loads to individual streams is closely related to interannual climatic variations, particularly during the winter. The objective of our study was to understand how climatic and hydrogeological factors influence NO₃^? dynamics in small watersheds during the winter. Physical parameters including snow depth, soil temperature, stream discharge, and water table elevation were monitored during the 2007‐2008 winter in two small catchments in the Adirondack Mountains, New York State. Snowpack persisted from mid‐December to mid‐April, insulating soils such that only two isolated instances of soil frost were observed during the study period. NO₃^? export during a mid‐winter rain‐on‐snowmelt event comprised between 8 and 16% of the total stream NO₃^? load for the four‐month winter study period. This can be compared with the NO₃^? exported during the final spring melt, which comprised between 38 and 45% of the total four‐month winter NO₃^? load. Our findings indicate that minor melt events were detectable with changes in soil temperature, streamflow, groundwater level, and snow depth. But, based on loading, these events were relatively minor contributors to winter NO₃^? loss. A warmer climate and fluctuating snowpack may result in more major mid‐winter melt events and greater NO₃^? export to surface waters.     

铅锌尾矿中重金属在模拟酸雨淋溶下的浸出规律

重金属尾矿污染是世界性难题,污染水体、大气和土壤,对周边的生态环境和人体健康造成严重危害。在我国酸雨范围大且酸雨问题比较严重的背景下,探讨酸雨淋溶下尾矿中重金属的浸出规律将有利于加强我国重金属尾矿的污染控制和管理。采用湖南桃林铅锌尾矿库中的尾矿模拟酸雨条件进行淋溶实验,研究发现重金属Pb、Zn、Cu、Mn含量分别为1252.5,849.4,363.1,280.0mg/kg。其中,Pb、Zn主要以残渣态存在,分别占69.7%和53.8%;Cu主要以有机结合态存在,占67.0%;Mn主要以铁锰氧化态、有机结合态和残渣态存在,共占90.0%。在静态淋溶实验中,固液比越大、模拟酸雨pH值越小,重金属的浸出浓度越大。在动态淋溶实验中,Zn、Mn浸出浓度随时间呈现减小趋势,而Pb和Cu浸出浓度随时间先增大,后减小。