Fingerprinting Global Climate Change and Forest Management Within Rhizosphere Carbon and Nutrient Cycling Processes

As one of the two Principal Subject Editors for ESPR Subject Area 1 'Terrestrial Ecology and Biology / Soil and Sediments: Toxicology-related Subjects' (see pp 287-293), the senior author and his colleague, Dr Chen, present an example of sub-category 4 'Environmental studies of pesticides, air pollution, and management strategies for forestry and plant ecosystems'. Thereby, they inform the ESPR community about the new Australian research project concerning the fingerprints of global climate change (GCC) and forest management on rhizosphere carbon and nutrient cycling and, subsequently, present an overview on the GCC and forest management fingerprints.     

Prediction for energy content of Taiwan municipal solid waste using multilayer perceptron neural networks

In the past decade, the treatment amount of municipal solid waste (MSW) by incineration has increased significantly in Taiwan. By year 2008, approximately 70% of the total MSW generated will be incinerated. The energy content (usually expressed by lower heating value [LHV]) of MSW is an important parameter for the selection of incinerator capacity. In this work, wastes from 55 sampling sites, including villages, towns, cities, and remote islands in the Taiwan area, were sampled and analyzed once a season from April 2002 to March 2003 to determine the waste characteristics. The LHV of MSW in Taiwan was predicted by the multilayer perceptron (MLP) neural networks model using the input parameters of elemental analysis and dry- or wet-base physical compositions. Although all three of the models predicted LHV values rather accurately, the elemental analysis model provided the most accurate prediction of LHV values. Additionally, the wet-base physical composition model was the easiest and most economical. Therefore, the waste treatment operators can choose the more appropriate analysis method considering situations themselves, such as time, equipment, technology, and cost.     

中国碳排放的因素分解模型及实证分析:1995-2004

能源消费是碳排放的主要来源。随着中国经济的快速发展,能源消费的急剧增长以及以煤为主的能源结构在短期内很难改变,因此,碳排放不可避免地会出现一定幅度的增加。本文基于碳排放量的基本等式,采用对数平均权重Divisia分解法（Logarithmic mean weight Divisia method,LMD）,建立中国人均碳排放的因素分解模型,定量分析了1995-2004年间,能源结构、能源效率和经济发展等因素的变化对中国人均碳排放的影响,结果显示经济发展对拉动中国人均碳排放的贡献率呈指数增长,而能源效率和能源结构对抑制中国人均碳排放的贡献率都呈倒“U”。这说明能源效率对抑制中国碳排放的作用在减弱,以煤为主的能源结构未发生根本性变化,能源效率和能源结构的抑制作用难以抵销由经济发展拉动的中国碳排放量增长。     

环境空气中痕量挥发性有机硫监测分析方法研究

采用预浓缩系统与GC MS联用,建立了环境空气中痕量挥发性有机硫的分析方法,该法用苏玛罐或Tedlar袋采集空气样品在预浓缩系统中经液氮于-160℃冷冻浓缩后,进入GC MS进行分析。甲硫醇、乙硫醇、甲硫醚、乙硫醚、二甲二硫的最低检出限分别为2 0、1 0、1 0、1 0、0 5μg m3。经6次的重复测定,其相对标准偏差小于9 0%。该方法已用于环境空气的测定,取得了令人满意的结果。     

Relation of lead adsorption on birnessites with different average oxidation states of manganese and release of Mn^2＋/H^＋/K^＋

The characteristics of Pb2+ adsorption on the surface of birnessites with different average oxidation states (AOS) of Mn, synthesized under acidic and alkali conditions, were investigated. The results indicated that the amount of adsorbed Pb2+ increased with the increase of Mn AOS in birnessites. The amount of Pb2+ adsorbed positively correlated with the amount of released Mn2+, H+, and K+ (r = 0.9962 > 0.6614, n = 14, α = 0.01). The released Mn2+, H+, and K+ were derived mostly from the corresponding catio...     

电导和直流安培双检测器离子色谱法测定清洁水样中的碘化物

选用配备了2种不同检测器(电导检测器和直流安培检测器)的离子色谱仪对稀释后过0.22μm滤膜的水样进行分析。配备有直流安培检测器的离子色谱仪测定水中碘化物的方法在0.100~20.0μg/L范围内线性关系良好,相关系数(r)=0.9999,方法检出限为0.030μg/L,测定下限为0.120μg/L,样品加标回收率为95.0%~104%,相对标准偏差为1.06%~1.64%;配备有电导检测器的离子色谱仪测定水中碘化物的方法在20.0~2.00×105μg/L范围内线性关系良好,相关系数(r)=0.9995,方法检出限为2.00μg/L,测定下限为8.00μg/L,样品加标回收率为99.0%~110%,相对标准偏差为0.71%~3.12%。离子色谱-直流安培检测器法测定水中碘化物的方法准确度高、灵敏度高、精密度好,检出限相对较低,适用于测定ρ(碘化物)≤20.0μg/L的清洁水样;离子色谱-电导检测器法主要适用于测定ρ(碘化物)≥20.0μg/L的水样。     

生物滴滤塔脱除污泥干化尾气中的SO2

以市政污泥干化尾气中的主要含硫物质二氧化硫(SO2)为处理对象,从市政污泥中筛选出高效脱硫菌——嗜酸性氧化亚铁硫杆菌(Acidithiobacillus ferrooxidans,A.f),搭建了实验室规模的生物滴滤塔,考察了进气质量浓度、气体停留时间、营养液喷淋密度和营养液中Fe2+浓度对生物滴滤塔脱除SO2的影响....     

基于FLACS的LNG船舶泄漏爆炸过程数值模拟研究*

为研究大尺寸、全场景下LNG船舶卸货作业过程中的泄漏爆炸风险,构建某LNG接收站及其周边20.5 km2的区域场景模型,采用FLACS软件数值模拟LNG泄漏扩散、气云爆炸的演化过程。结果表明:LNG从卸料臂处以满输速率持续泄漏5 min,最大液池面积17 047 m2,最大汽化速率350 kg/m3,遇点火源发生气云爆炸,爆炸持续时间12 s,产生最高爆炸火球340 m和最大爆炸超压0.25 MPa,形成半径380 m轻伤区、150 m重伤区和60 m死亡区。     

基于改进灰色模型的管壁蜡沉积厚度预测研究

为对含蜡原油管道中的蜡沉积厚度进行准确预测,在函数cot(x2)变换的基础上,结合平移变换思想,利用cot(x2+c)变换建立新的改进GM(1,1)模型。以现场管道结蜡数据和室内环道结蜡数据为例,对比改进GM(1,1)模型、基于函数cot(x2)变换建立的GM(1,1)模型及传统GM(1,1)模型之间的预测精度,并分析平移量c对改进GM(1,1)模型预测精度的影响。结果表明:改进GM(1,1)模型的预测精度最高,其次是基于函数cot(x2)变换建立的GM(1,1)模型,而传统GM(1,1)模型的预测精度最低;随着平移量的增大,改进GM(1,1)模型的平均相对预测误差呈现出先减小后增大的趋势,因此合理的平移量有助于模型精度的提高。应用改进GM(1,1)模型来预测管道蜡沉积厚度是可行的,该方法可为含蜡原油管道蜡沉积厚度的准确预测提供参考和借鉴。     

光催化功能材料及其提升湖库水环境质量的验证研究

为验证石墨烯基氧化钛光催化功能材料在实际工况条件下的适用性及其对污染水体的净化效果,分别选择云南省大理州西湖(ST-1)及浙江省舟山市嵊泗县的长弄塘水库(ST-2)进行为期105～107 d的野外原位围隔试验验证研究.结果表明:光催化功能材料与土著生物耦合(光催化耦合生态净化技术)对2种类型水体中污染物降解具有较好的效...