沈阳市烟囱分布对大气污染的影响

本文介绍采用航空遥感技术和实地调查研究相结合的方法,分析了沈阳市烟囱数量、高度、密度以及高、中、低架烟囱的分布状况和特点,同时与大气污染监测结果对照分析了沈阳市煤烟型大气污染的规律及特点,研究了沈阳市烟囱分布对大气污染的影响。最后,提出了沈阳市燃煤污染的防治途径。     

从水稻种子表面分离的紫云英根瘤菌与不同水稻品种亲合性的研究

采用紫云英琼脂管结瘤试验，在10个供试的不同水稻品种中，仅从“汕优63”和“珍A一代”2个品种的种子表面各分离筛选到在紫云英上结瘤较早且较多的1个菌株，分别命名为SY63－4和SA1D－3。采用无菌盆栽试验分别将这2个菌株接种于4个不同水稻品种“汕优63”、“珍A一代”、“马协63”及“博湛优19”，发现菌株ZA1D－3对4种水稻均表现出显著的促生作用，SY63－4仅对“汕优63”和“珍A一代”表现出明显的促生作用。利用MPN法检测不同水稻品种根内外根瘤菌ZA1D－3和SY63－4的数量，发现ZA1D－3和SY63－4在4种水稻根部的定殖数量也不相同。SY63－4在“汕优63”根部定殖的数量log(ncfumFW^-1/g^-1)为5．20，比在其余3种水稻根部高出2个数量级；ZA1D－3在“珍A一代”根部定殖的最大数量log(ncfumFW^-1/g^-1)为4．54，比在其余3种水稻根部高出1个数量级。这说明SY63－4与“汕优63”，ZA1D－3与“珍A一代”间存在着一定的亲和性。图1表2参12     

[CO2]和温度增加的相互作用对植物生长的影响

ＣＯ2 和温度是影响植物生长、发育和功能的两个关键因子 .在过去一个世纪中 ,[ＣＯ2 ]从 2 80 μｍｏｌ/ｍｏｌ增加到 36 0μｍｏｌ/ｍｏｌ且每年增长速率为 1～ 5 μｍｏｌ/ｍｏｌ,到 2 0世纪末达到更高的浓度[1] .最近的模型预测表明 ,到 2 10 0年 ,全球表面温度可能会增加 1～ 4 .5℃ [2 \〗.ＣＯ2 是光合作用的底物 ,而且还是初级代谢过程 (气孔反应和光合作用 )、光合同化物分配和生长的调节者 .温度几乎影响植物所有的生物学过程 .因此 ,在全球气候变化要素中 ,大气 [ＣＯ2 ]和温度升高对植物的生理过程和生物量及产量具有极为重要的…     

厌氧发酵过程pH对微生物多样性和产物分布的影响

采用PCR-DGGE技术,研究了不同pH条件下蔬菜类有机垃圾厌氧发酵过程中的微生物多样性,探讨了微生物群落结构与发酵产物分布的关系.Shannon指数分析表明,pH=7和pH=8时的微生物多样性较高,随时间变化规律相似,而pH=5时的微生物多样性较低.UPGMA聚类分析和PCA分析结果也表明,pH=7和pH=8时的微生物群落结构相似,pH=5与之显著不同.在不同pH条件下的优势菌属都是乳酸细菌和梭菌。微生物多样性的变化与发酵产物分布具有一定相关性,pH通过影响微生物群落结构的变化最终影响发酵产物的分布.图4表2参27     

Model-based combination of spatial information for stream networks

Evolutionary improvements in Geographic Information Systems (GIS) now routinely allow the management and mapping of spatial-temporal information. In response, the development of statistical models to combine information of different types and spatial support is of vital importance to environmental science. In this paper we develop a hierarchical spatial statistical model for environmental indicators of stream and river systems in the United States Mid-Atlantic Region by combining information from separate monitoring surveys, available contextual information on hydrologic units and remote sensing information. These models are used to estimate the indicators throughout the riverine system based on information from multiple sources and aggregate scales. The analysis is based on information underlying the Landscape Atlas of the mid-Atlantic region produced by the US Environmental Monitoring and Assessment Program (EMAP). We also combine information from two overlapping separate monitoring surveys, the EMAP Stream and River Survey and the Maryland Biological Streams Survey. We present a general framework for comparative distributional analysis based on the concept of a relative spatial distribution. As an application, the spatial model is used to predict spatial distributions and relative spatial distributions for a watershed.     

广东省雾霾天气能见度的时空特征分析Ⅰ:季节变化

雾霾已经成为一种新的气象及环境灾害性现象,分析雾霾天气下低能见度的时空分布特征,对掌握雾霾的发生规律和减灾预报具有重要意义。文章利用1980—2003年广东省沿海地区26个地面气象观测站23年的气象观测资料,分析了广东省雾霾天气下能见度的时空分布特征。分析结果发现,1980—2003年广东地区雾霾天气下能见度的季节变化规律与雾天气时能见度的季节变化规律大体一致,即广东地区低能见度天气主要受雾天气的影响;另一方面,雾、霾天气时能见度的季节变化规律有很大不同,雾天气时能见度观测值在冬、春两季相对较高,最低值出现在3月份,最高值出现在9月份,其年变化表现为峰—谷型、稳定型和不规则波动型三种变化;霾天气时能见度的值在秋、冬两季相对较高,最低值出现在6月份,而且在5、6、7三个月中能见度值都很低;受广东沿海地形特征影响,雾天能见度的空间分布从西到东呈低—高—低—高的波列状分布,而霾天气时能见度的空间分布则没有明显的区域差异。     

接种降解菌对土壤中邻苯二甲酸二异辛酯降解的影响

邻苯二甲酸二异辛酯〔Di-(2-Ethylhexyl)phthalate,DEHP〕是农田土壤中常被检出的有毒有机污染物,在土壤中有较长的持留性,微生物降解是其从土壤中消失的主要途径.本文采用温室盆栽试验研究了接种两株从污水处理厂活性污泥中分离得到的高效DEHP降解菌及其混合菌悬液降解土壤中DEHP污染的效果,以及土壤中添加葡萄糖和种植作物对其降解效率的影响.结果表明,在土壤初始DEHP浓度为100mg kg-1的条件下,接种两种降解菌及其混合菌悬液都可显著提高土壤中DEHP消失的速率,其残留半衰期比不接种对照缩短了32~48d,但在相同条件下接种不同降解菌的处理之间没有显著差异.土壤中添加0.6%的葡萄糖虽然可以强烈地促进土壤微生物的整体活性,但并没有提高修复效率,反而在短期内延缓了降解菌对DEHP的降解,延长了DEHP在土壤中持留的半衰期;植物生长可显著提高降解菌的降解效率,降低土壤中DEHP的残留浓度.研究结果同时也表明,只添加葡萄糖或只种植植物对土壤中DEHP的降解并没有显著的影响.图3表4参14     

沈阳市区大气颗粒物元素组分及其分布

本研究采用美国安德逊五段冲击式采样器进行大气颗粒物采样，用中子活化法进行分析，获得４３种元素质量浓度，并求得各种元素的质量中值直径和几何标准差。     

Secondary metabolism — evolution and function: Products or processes?

Summary The distinguishing characteristics of secondary metabolism and its associated metabolites are outlined. Current theories relating to the function of secondary metabolism in plants and micro-organisms are enumerated and the view that consideration of the processes rather than the products may best explain the origins of secondary metabolism is discussed.     

Resampling from stochastic simulations

To model the uncertainty of an estimate of a global property, the estimation process is repeated on multiple simulated fields, with the same sampling strategy and estimation algorithm. As opposed to conventional bootstrap, this resampling scheme allows for spatially correlated data and the common situation of preferential and biased sampling. The practice of this technique is developed on a large data set where the reference sampling distributions are available. Comparison of the resampled distributions to that reference shows the probability intervals obtained by resampling to be reasonably accurate and conservative, provided the original and actual sample has been corrected for the major biases induced by preferential sampling.Andre G. Journel is a Professor of Petroleum Engineering at Stanford University with a joint appointment in the Department of Geological and Environmental Sciences. He is, also, Director of the Stanford Center for Reservoir Forecasting. Professor Journel has pioneered applications of geostatistical techniques in the mining/petroleum industry and extended his expertise to environmental applications and repository site characterization. Most notably, he developed the concept of non-parametric geostatistics and stochastic imaging with application to modeling uncertainty in reservoir/site characterization. Although the research described in this article has been supported by the United States Environmental Protection Agency under Cooperative Agreement CR819407, it has not been subjected to Agency review and therefore does not necessarily reflect the views of the Agency and no official endorsement should be inferred.