Linkages to manufacturing in the resource sector: The case of the Angolan oil and gas industry

This paper discusses the current state and future prospects of backward production linkages to the manufacturing sector in the Angolan oil and gas industry. The paper finds that local value-added links are currently limited to labour and to a lesser degree in basic services. However, there is a realistic and strategic potential for local manufacturing linkages to expand in the oilfield services sector of the industry, which in turn can stimulate industrial development. For this to be achieved, the factors that are currently constraining the expansion and deepening of linkages have to be addressed, namely, a weak local content strategy, a weak local skills and industrial base and the integration of industrial and oil sector policies.     

灰色Elman神经网络在火灾事故预测中的应用研究

针对我国火灾事故现状,结合灰色理论和神经网络的特点,提出灰色Elman神经网络火灾事故预测模型。依据我国1998—2007年火灾事故统计数据,分别选用GM(1,1)模型和灰色Elman神经网络模型对1998—2005年数据(火灾起数)进行拟合,对2006年、2007年数据进行(火灾起数)预测。结果表明:灰色Elman神经网络火灾事故预测模型符合火灾事故的特点;有效地解决了传统灰色预测模型在火灾事故预测中误差大稳定性差的缺陷,提高了预测精度;可对火灾事故进行预测与分析,为消防安全管理提供依据,以最大限度地减少火灾事故的发生。     

Predicting the Fate and Transport of E. coli in Two Texas River Basins Using a Spatially Referenced Regression Model1

Abstract: The two main rivers of southeast Texas: Guadalupe and San Antonio have shown high temporal increase in bacteria concentration during the last decade. The SPAtially Referenced Regression On Watershed (SPARROW) attributes model, developed by the U.S. Geological Survey (USGS), has been applied to predict the fluxes and concentrations of contaminants in unmonitored streams and to identify the sources of these contaminants. This model identifies every reach as a basic network unit to distribute the sources, delivery, and attenuation factors. The model is data intensive and implements nonlinear regression to solve the parsimonious relations for describing various watershed processes. This study explored watershed and hydrological characteristics (land uses, precipitation, human and animal population, point sources, areal hydraulic load and drainage density, etc.) as the probable sources and delivery mechanisms of waterborne pathogens and their indicator (Escherichia coli [E. coli]) in the Guadalupe and San Antonio River basins. The effect of using various statistical indices for model selection on the final model’s ability to explain the various E. coli sources and transport processes was also analyzed.     

不适宜生长条件对混菌降解苯胺的影响

分别从台州和衢州某化工厂的好氧池中分离筛选得到2株苯胺降解菌TZ1和JH1,经16S rDNA测序鉴定为Comamonas sp.TZ1和Pseudomonas sp.JH1,均具有较强的苯胺降解能力,培养24 h后,可使初始浓度为800 mg/L的苯胺去除率达到96.4%~98.4%。在此基础上,按体积比1∶1将2株菌液进行混合构建了混合菌体系,进而对比考察了苯胺初始浓度、pH、盐度和重金属等环境因子对单一菌和混合菌生长量及降解苯胺效果的影响,重点探讨混合菌对不适宜生长环境的适应性及其对苯胺的降解特性。通过单一菌和混合菌对比实验发现,在适宜苯胺初始浓度、pH和盐度条件下,混合菌的生长量略高于单一菌;在不适宜生长的高浓度苯胺、pH和盐度条件下,混合菌也表现出了更强的适应性和苯胺矿化能力。Zn2+和Cr6+耐受实验则表明,对于Cr6+,混合菌表现出了更强的耐受能力,而对于Zn2+并没有表现出更强的耐受能力。     

一株耐铬不动杆菌对十二烷基硫酸钠的降解特性

研究醋酸钙不动杆菌H1的降解广谱性时,发现其能在高浓度十二烷基硫酸钠(SDS)环境中生长。经过对菌株H1降解特性研究,结果表明,该菌利用SDS的最适温度为30℃,最适pH为7.0,最适接种量为2%,并适应低渗透压环境。当SDS浓度低于400 mg/L时,菌株H1对SDS的降解率在85%以上,且在SDS浓度为400 mg/L时,达到最大降解率94%。当K2Cr2O7为500 mg/L时,菌株H1对SDS的降解率仍达到50%左右。添加酵母浸出物可促进SDS的降解。     

基于环境一号卫星CCD数据的巢湖叶绿素a的动态监测

环境一号卫星CCD数据具有获取周期短、空间分辨率高等特点,能够及时准确地监测叶绿素a的浓度变化和分布,其在内陆湖泊水质遥感监测方面具有良好的应用前景。文章通过星地同步地面实验,建立起巢湖水体的叶绿素a浓度遥感反演模型,利用2009年4月至2010年3月的环境一号卫星CCD数据,分季节对巢湖叶绿素a行动态监测和分析。结果表明,巢湖叶绿素a具有明显的时空分布特征,夏季叶绿素a浓度最高,冬季最低,秋季高于春季;西半湖湖区叶绿素a浓度一般高于东半湖湖区,西北部和中部湖区空间变化比较大,东部湖区变化较小。     

环境卫星CCD影像在太湖湖泛暗色水团监测中的应用

太湖地区2009年5月11日、2010年8月21日、2011年7月28日和2011年9月24日的环境卫星CCD影像显示,在太湖西部沿岸带、竺山湖等水域存在湖泛暗色水团现象。由于环境CCD缺少辅助反演气溶胶信息的2.1um波段,试验了基于空气自动监测子站获得的与环境卫星CCD成像时间接近的地面能见度测量数据进行FLAASH大气校正的方法,反演结果总体上符合水体光谱特征。提取了湖泛水体、对照水体阳区在CCD各波段的光谱反射率数据统计特征。结果表明,和对照水体相比,湖泛水体在环境卫星CCD的可见光—近红外波段具有较低的反射率,与人眼观察湖泛水色暗黑的感官一致,另一方面,湖泛水域由于仍有一定的藻类存在,在环境卫星CCD近红外（波段4 ）具有比可见光（波段3）略高的反射率,其规律与基于Landsat ETM的湖泛暗色水团遥感分析结果相一致。     

HDNPTT与镉显色反应的研究

应用合成的新试剂 1- (2 -羟基 - 3 ,5 -二硝基苯 ) - 3 - (4 -苯基 - 2 -噻唑 ) -三氮烯 (HDNPTT) ,研究了在表面活性剂TritonX - 10 0存在下 ,它与Cd2 的显色反应。结果表明 ,在 pH 8 0～ 10 0范围内 ,Cd2 与该试剂形成的配合物 ,其最大吸收峰位于 5 35nm处 ,摩尔吸光系数为 1 89× 10 5L·mol-1·cm-1。Cd2 在 0mg/L～ 0 32mg/L范围内符合比尔定律。此法用于环境水样和人发样品中微量镉的测定 ,结果满意。     

Synthesis and pesticidal activity of new N-alkyl-N-[1-(2-hydroxyphenyl) ethyl]amines

A series of novel N-alkyl-N-[1-(2-hydroxyphenyl) ethyl]amines were synthesized as potential new agents to control pests. Their structures were confirmed on the basis of IR, NMR and elemental analyses. Six new N-alkyl-N-[1-(2-hydroxyphenyl) ethyl]amines were prepared by reduction of corresponding Schiff bases using sodium borohydride in 80–87 % yields. These compounds were tested for their antifungal activity against two pathogenic fungi viz., Rhizoctonia bataticola ITCC 0482 and Sclerotium rolfsii ITCC 5226 and for insecticidal activity against insects of stored grain pest Callosobruchus analis. Fungicidal bioassay revealed that compound N-Decyl-N-[1-(2-hydroxyphenyl)ethyl]amine, was highly effective against R. bataticola (ED₅₀ 6.86 mg L^?1) which was comparable with that of commercial fungicide hexaconazole (ED₅₀ 6.35 mg L^?1). Also compounds N-Heptyl-N-[1-(2-hydroxyphenyl)ethyl]amine, N-Octyl-N-[1-(2-hydroxyphenyl)ethyl]amine and N-Nonyl-N-[1-(2-hydroxyphenyl)ethyl]amine displayed promising fungitoxicity against same pathogen. However, compound N-Heptyl-N-[1-(2-hydroxyphenyl)ethyl]amine was also found to be effective against S. rolfsii (ED₅₀ 4.92 mg L^?1 as against 1.27 mg L^?1 for hexaconazole). Compound N-Hexyl-N-[1-(2-hydroxyphenyl)ethyl]amine was most effective as insecticide followed by compound N-Octyl-N-[1-(2-hydroxyphenyl)ethyl]amine. LC₅₀ values for these compounds were 155.0 and 275.0 mg L^?1 respectively as against 36.70 mg L^?1 for commercial insecticide dichlorovos. The results obtained from bioassays indicate that this class of compounds can be utilized for the design of new substances endowed with pesticidal activities.