Applying metabolic fingerprinting to ecology: The use of Fourier-transform infrared spectroscopy for the rapid screening of plant responses to N deposition

The potential for metabolic fingerprinting via Fourier-transform infrared (FT-IR) spectroscopy to provide a novel approach for the detection of plant biochemical responses to N deposition is examined. An example of spectral analysis using shoot samples taken from an open top chamber (OTC) experiment simulating wet ammonium deposition is given. Sample preparation involved oven drying and homogenisation via mill grinding. Slurries of a consistent dilution were then prepared prior to FT-IR analysis. Spectra from control, 8 and 16 kg N ha^–1 yr^–1 treatments were then subjected to cross-validated discriminant function analysis. Ordination diagrams showed clear separation between the three N treatments examined. The potential for using Calluna vulgaris (L.) Hull as a bioindicator of N deposition is further evident from these results. The results also clearly demonstrate the power of FT-IR in discriminating between subtle phenotypic alterations in overall plant biochemistry as affected by ammonium pollution.     

Impact of Land Use on Soluble Organic Nitrogen in Soil

Although it has been hypothesized that soluble organic nitrogen (SON) plays a central role in regulating productivity in some terrestrial ecosystems, the factors controlling the size of the SON pool in soil remain poorly understood. Therefore our principal aim in this work was to assess the impact of seven different land use systems (rough and managed grassland, deciduous and coniferous woodland, heathland, wetland and tilled land) on the size of the SON and inorganic N (NO ₃ ^– , NH ₄ ⁺ ) pools in the surface soil layer (0–15 cm). After extraction with deionised water, we found that in most cases the size of the water extractable organic N (WEON) pool was similar in size to the inorganic N pool. In contrast, the KCl extractable organic N (KClEON) pool constituted the dominant form of soluble N in soils under all land uses, perhaps indicating that significant amounts were held on the soil exchange phase. In contrast to inorganic N, which varied significantly with land use, the size of the KClEON and WEON pool was similar for all land uses with the exception of KClEON in tilled land, where significantly lower amounts were observed. We conclude that SON constitutes an important soil N pool in a broad range of land uses, and that its role in microbial N assimilation, plant nutrition and ecosystem responses to atmospheric N deposition warrants further attention. SAFRD, University of Newcastle, Newcastle-upon-Tyne, NE1 7RU, U.K.     

基于C/S与B/S混合模式的大气污染监测系统设计

以C／S与B／S混合模式为基础的大气监测系统、既能充分发挥网络资源的便捷化，实现企业监测数据与管理系统的快速链接，又充分利用C／S模式的安全性能，以保证系统的安全性。因而此系统是当前的一种较新型的，功能较为强大的网络监测系统。     

环评中锅炉房大气污染源强的确定

在环境评价中,污染源强的确定对环境影响因素评价的分析结果有重要作用。对锅炉房污染物排放的分析表明,影响锅炉房大气污染物的主要因素有燃料的构成、发热量和燃烧方式等。确定锅炉房大气污染物的方法主要有物料衡算法、实测法和经验系数法。在这三种方法中,物料衡算法被普遍采用。在确定锅炉房大气污染物的排放量时,也可以采用物料衡算法和实测法相结合的方法。     

多级模糊综合评判方法在泥石流评价中的应用

介绍了多级模糊综合评判方法在泥石流评价中的应用, 指出了在进行模糊评判的时候,评判因子的选取以及隶属函数的构造应具体结合泥石流自身的特点来进行,并应用此方法对西南某拟建水电站坝址附近泥石流沟危险性做出了评价,评价结果与实际调查结果比较吻合.     

煤矿安全预评价的未确知测度模型及应用

矿井自然灾害的安全预评价涉及不确定因素众多.本文根据未确知数学理论,建立了预评价指标体系、置信度识别准则及评分准则,构造了矿井安全预评价未确知测度模型,并对矿井的各个安全指标进行了定量分析.用上述方法对黄陵二号井自然灾害的评定结果与实际耦合较好,从而为煤矿建设项目的安全预评价开辟了一条新途径.     

黄河积石峡水电站库区泥石流危险度评价

在选取一次(可能)最大冲出物方量、泥石流发生频率、流域面积、主沟长度、流域相对高差、流域切割密度、泥沙补给段长度比7个因子为泥石流沟谷危险度划分的主要因子的基础上,对评价因子隶属度的确定作了分析和阐述,并运用模糊综合评判法对黄河上游积石峡水电站库区16条泥石流沟进行了危险度划分.     

陕西佛坪、宁陕"6.9"山地自然灾害考察研究

2002年6月9日,陕西南部佛坪、宁陕等地因特大暴雨引发了极其强烈的泥石流、山洪等山地自然灾害.本文考察研究了这次泥石流、山洪等山地自然灾害产生的条件,分布与活动特点以及未来发展变化的趋势.     

SARS与灾变心理初探

本文初步讨论了SARS发生前、发生时和发生后,社会个体和社会群体的不同心理变化过程,以及各种不同心理活动产生的原因,希冀能从中找出人们在灾变面前的特殊心理过程,为政府的防灾救灾和正确决策提供服务.     

略阳电厂后部山体边坡的稳定性评价与初步治理设计

在对略阳电厂后部山体地质条件分析的基础上,采用定性分析与定量数值计算相结合的方法评价了电厂后部山体在开挖前后的稳定性问题,并对开挖后的坡体提出了相应的工程治理措施.