污染排放对经济发展的负面影响研究

以1998—2009 年各地区的数据为样本,利用联立方程模型检验污染排放对经济发展的负面影响,以及宏观经济结构对这种影响的调节作用.研究发现,经济发展与污染排放之间存在相互影响的关系,经济结构与污染排放之间也存在相互影响的关系.当期经济发展水平的提高必然会引起污染排放的增加,但当期污染排放的增加会对今后经济发展产生滞后的负面效应.投资和出口对污染排放的负面影响存在调节作用,即投资比重越高,出口比重越低,当期经济增长引起的污染排放越少,污染排放的负面影响也越小.不过,消费比重对污染排放负面影响不存在调节作用.     

一株产电菌嗜根考克氏菌(Kocuria rhizophila)的分离及其产电性能优化

本研究以天津泰达污水处理厂污泥浓缩间的污泥为接种物,启动并运行了微生物燃料电池(MFCs).从富集的阳极生物膜上分离得到了一株纯培养的微生物菌种,命名为P2-A-5.研究发现,菌株P2-A-5的16S rDNA序列与菌株Kocuria rhizophila DC2201具有100%的同源性,结合该菌的形态特征和生理生化实验,将其归属为嗜根考克氏菌(Kocuria rhizophila).通过化学剂处理、底物种类和浓度的优化,进一步提高其在微生物燃料电池中的产电性能.结果表明,菌株K.rhizophila P2-A-5经0.5 mg·L-1溶菌酶处理45 min后,接种到以2.0 g·L-1海藻糖为底物的阳极液中运行MFCs,其功率密度达到314.8 m W·m-2,比优化前(74.9 m W·m-2)提高了320.3%.这是首次对K.rhizophila种内微生物产电性能及其在微生物燃料电池中应用的报道,其成果对于丰富产电微生物的多样性,挖掘更多具有高电化学活性的微生物菌种,提高其产电性能具有重要的理论意义.     

Molecular diversity of arbuscular mycorrhizal fungi at a large-scale antimony mining area in southern China

Arbuscular mycorrhizal fungi (AMF) have great potential for assisting heavy metal hyperaccumulators in the remediation of contaminated soils. However, little information is available about the community composition of AMF under natural conditions in soils contaminated by antimony (Sb). The objective of this study was to investigate the characteristics of AMF molecular diversity, and to explore the effects of Sb content and soil properties on the AMF community structure in an Sb mining area. Four Sb mine spoils and one adjacent reference area were selected from around the Xikuangshan mine in southern China. The association of AMF molecular diversity and community composition with the rhizosphere soils of the dominant plant species was studied by Polymerase Chain Reaction-Denaturing Gradient Gel Electrophoresis (PCR-DGGE). Results from all five studied sites showed that the diversity of AMF decreased with increasing Sb concentration. Principal component analysis (PCA) indicated that the AMF community structure was markedly different among these groups. Further redundancy analysis (RDA) showed that Sb contaminationwas the dominating factor influencing the AMF community structure in the Sb mine area. However, the multivariate analysis showed that, apart from the soil Sb content, extractable nitrogen content and organic matter content also attributed to AMF sequence distribution type. Some AMF sequences were only found in the highly contaminated area and these might be ideal candidates for improving phytoremediation efficiency in Sb mining regions. Gene sequencing analysis revealed that most species were affiliated with Glomus, suggesting that Glomus was the dominant AMF genus in the studied Sb mining area.     

Responses of soil ammonia oxidizers to a short-term severe mercury stress

The responses of soil ammonia-oxidizing archaea(AOA) and ammonia-oxidizing bacteria(AOB) to mercury(Hg) stress were investigated through a short-term incubation experiment.Treated with four different concentrations of Hg(CK,Hg25,Hg50,and Hg100,denoting 0,25,50,and 100 mg Hg/kg dry soil,respectively),samples were harvested after 3,7,and 28 day incubation.Results showed that the soil potential nitrification rate(PNR) was significantly inhibited by Hg stress during the incubation.However,lower abundances of AOA(the highest in CK: 9.20 × 10~7 copies/g dry soil; the lowest in Hg50: 2.68 × 10~7 copies/g dry soil) and AOB(the highest in CK: 2.68 × 10~7 copies/g dry soil; the lowest in Hg50:7.49 × 10~6 copies/g dry soil) were observed only at day 28 of incubation(P 0.05).Moreover,only the community structure of soil AOB obviously shifted under Hg stress as seen through DGGE profiles,which revealed that 2–3 distinct AOB bands emerged in the Hg treatments at day 28.In summary,soil PNR might be a very useful parameter to assess acute Hg stress on soil ecosystems,and the community structure of soil AOB might be a realistic biological indicator for the assessment of heavy metal stress on soil ecosystems in the future.     

基于改进灰色关联分析法在居民环境消费结构中的研究

依据平顶山市2005年-2012年的统计年鉴,平顶山市居民环境人均消费性数据,选取食品、衣着、居住、家庭设备用品及服务、医疗保健、交通和通信、教育文化娱乐服务、杂项商品及服务八大类,将改进的灰色关联度分析方法和综合评价模型相结合,建立灰色关联度分析模型,对平顶山市居民环境结构关系进行分析.结果表明:教育文化娱乐环境服务的关联性最高,食品、交通通信、居住医疗保健、衣着、家庭设备用品及服务、杂项商品和服务环境位居其后.     

阜新市空气监测点位优化的聚类分析

基于聚类分析法利用数据之间距离系数进行分类的原理,建立空气监测点位聚类分析优化模型,结合阜新市地形、气象及历史监测数据,进行阜新市空气监测点位布设优化应用,优化结果表明:距离相似水平取d=0.3时,环保局(B点)与人民公园(C点)监测点空气污染物浓度分布相似性最高,合并为1点,增设气象台监测点位作为清洁背景点,4个点位构成阜新市空气监测新网络;利用CALPUFF模型模拟对优化后监测点位进行相关性检验。检验结果表明:监测点位优化后SO2浓度与实测值相关系数为0.984,PM10相关系数为0.968,NO2相关系数为0.973。CALPUFF模型模拟值与实际监测值之间相关系数均大于0.75,表明优化后的阜新市空气监测点位具有客观环境代表性;监测点位优化与检验方法具有一定应用价值。     

基于圈层建设用地密度分析的中国主要城市扩张的时空特征

基于圈层建设用地密度分析,提出了城市扩张核心度指数;通过计算城市扩张核心度指数和城市扩张强度指数,分析了1990~2010年中国27个主要城市距城市中心不同距离区域的城市扩张的时空模式。研究发现:(1)1990~2010年,大部分城市核心度指数不断降低,城市空间结构变化与国家区域政策密不可分,呈现明显的区域特征。1990~2000年东部沿海地区城市核心度值减少幅度较大,2000~2010年则是东北部和中西部城市降低明显。总体上看,西部和东北部城市的核心度指数要高于东部和中部的城市,结构更加紧凑。(2)城市扩张最活跃的地方总是出现在核心区边界附近,并不断向外推移。(3)城市的形态与城市的发展阶段密切相关。1990~2000年,一线城市扩张的强度和范围远大于其他城市;2000~2010年,二三线城市的扩张强度和范围明显增加。经济比较发达的城市,建设用地的扩张逐渐由单中心扩展向多中心协同发展转变,而经济相对落后西部城市和东北部城市,城市结构比较紧凑,保持着单中心的城市形态。     

我国城市冬季PM2.5空间特征及其人为影响因子

以我国114个城市冬季(2013年12月-2014年2月)公布的PM25数据为基础,结合其他相关数据,运用空间自相关分析、克里格插值法和逐步回归分析法,研究我国冬季PM2.5浓度空间分布差异及其影响因素.结果显示,研究期间PM2.5在空间分布上具有高值集聚、低值集聚和高值邻域的低值集聚的变化特征,全局自相关系数Moran's I为0.27.PM2.5浓度分布由北到南、从内陆到沿海具有先升高后逐渐降低的变化趋势,高浓度区域主要集中在华北平原、长江中下游平原和陕西关中平原等地区,这些区域的冬季PM2.5平均质量浓度都达到150 μg·m-3以上,最高达250 μg·m-3.多因子逐步回归分析结果表明,人为活动对我国高浓度PM25(＞150μg·m-3)分布影响显著,对低浓度PM2.5(≤75μg·m-3)分布影响不显著.市辖区人口密度和第二产业GDP是显著影响我国高浓度PM2.5分布的主要人为影响因子.市辖区建成区面积、全市年末总人口和市辖区道路面积等是影响我国城市间PM2.5浓度分布差异的主要人为影响因子.     

黄河三角洲自然保护区秋冬季水鸟群落组成与生境关系分析

于2014年10月至2015年1月采用样线调查法对黄河三角洲自然保护区秋季迁徙期和越冬期水鸟群落结构进行调查研究,调查共包括8条样线40个观测点.结果表明:(1)秋季迁徙期共记录水鸟6目14科54种,国家Ⅰ级保护鸟类5种,国家Ⅱ级保护鸟类8种;越冬期共记录水鸟5目7科31种,国家Ⅰ级保护鸟类1种,国家Ⅱ级保护鸟类4种.(2)2个时期雁形目水鸟种类和数量均占优势,豆雁(Anser fabalis)、斑嘴鸭(Anas poecilorhycha)、赤膀鸭(Anas strepera)和绿头鸭(Anas platyrhynchos)为优势物种,丹顶鹤(Grus japonensis)、东方白鹳(Ciconia boyciana)和大大鹅(Cygnus cygnus)等珍稀水鸟也有一定的种群数量.(3)秋季迁徙期水鸟种数、数量和ShannonWiener多样性指数多于或高于越冬期.(4)5种典型生境之间水鸟种类和数量存在差异,天然水域是水鸟群落的主要分布区.(5)自然生境内的水鸟种数、数量和Shannon-Wiener多样性指数一般多于或高于人工生境.相似性分析结果表明,自然生境之间水鸟群落结构相似程度高于人工生境.     

A new pre-assessment model for failure-probability-based-planning by neural network

At present, the prediction of failure probability is based on the operation period for laid pipelines, and the method is complicated and time-consuming. If the failure probability can be predicted in the planning stage, the risk assessment system of gas pipeline will be greatly improved. In this paper, the pre-laying assessment model is established to minimize risk of leakage due to piping layout. Firstly, Fault Tree Analysis (FTA) modeling is carried out for urban natural gas pipeline network. According to expert evaluation, 84 failure factors, which can be determined in the planning stage, are selected as the input variables of the training network. Then the FTA model is used to calculate the theoretical failure probability value, and the failure probability prediction model is determined through repeated trial calculation based on BP (Back Propagation Neural Network) and RBF (Radial Basis Function), for obtaining the optimal network parameter combination. Finally, two prediction models are used to calculate the same example. By comparing our pre-assessment model with the theoretical prediction consequences of the fault tree, the results show that the error of RBF prediction model can be close to 3%, which proves the validity and correctness of the method.