地质动力区划预测煤与瓦斯突出

为了确定煤与瓦斯突出矿井的突出危险区域,威胁区域和安全区域,提出基于地质动力区划的多因素模式识别概率预测方法预测煤与瓦斯突出的新思路。以鸡西滴道矿立井为研究对象,利用地质动力区划方法确定不同尺度和级别构造运动的特征,建立板块构造学说与矿井工程实际的联系,将对矿井煤与瓦斯突出产生影响的因素为参数,采用多因素模式识别概率预测方法划分研究区域内的危险区域。研究表明该方法对煤与瓦斯突出区域预测的合理性与有效性,可以在实际工程中应用推广。     

A highly resolved temporal and spatial air pollutant emission inventory for the Pearl River Delta region, China and its uncertainty assessment

A highly resolved temporal and spatial Pearl River Delta (PRD) regional emission inventory for the year 2006 was developed with the use of best available domestic emission factors and activity data. The inventory covers major emission sources in the region and a bottom–up approach was adopted to compile the inventory for those sources where possible. The results show that the estimates for SO₂, NO_x, CO, PM₁₀, PM_2.5 and VOC emissions in the PRD region for the year 2006 are 711.4 kt, 891.9 kt, 3840.6 kt, 418.4 kt, 204.6 kt, and 1180.1 kt, respectively. About 91.4% of SO₂ emissions were from power plant and industrial sources, and 87.2% of NO_x emissions were from power plant and mobile sources. The industrial, mobile and power plant sources are major contributors to PM₁₀ and PM_2.5 emissions, accounting for 97.7% of the total PM₁₀ and 97.2% of PM_2.5 emissions, respectively. Mobile, biogenic and VOC product-related sources are responsible for 90.5% of the total VOC emissions. The emissions are spatially allocated onto grid cells with a resolution of 3 km × 3 km, showing that anthropogenic air pollutant emissions are mainly distributed over PRD central-southern city cluster areas. The preliminary temporal profiles were established for the power plant, industrial and on-road mobile sources. There is relatively low uncertainty in SO₂ emission estimates with a range of −16% to +21% from power plant sources, medium to high uncertainty for the NO_x emissions, and high uncertainties in the VOC, PM_2.5, PM₁₀ and CO emissions.     

中国耕地非农化压力时空格局的演变分析

社会经济和资源禀赋的区域差异导致耕地非农化压力表现出明显的空间异质性。开展耕地非农化压力测算并揭示其时空格局演变,是实现土地资源优化配置的基础。从经济因素、社会因素、产业结构和资源禀赋4个方面构建耕地非农化压力指数评价指标体系,采用熵值法计算各指标权重,继而计算1990~2014年中国31省的耕地非农化压力指数,并在此基础上开展了耕地非农化压力的时空格局分析。结果表明:(1)从空间格局分布来看,中国耕地非农化压力空间分布呈现明显的地理梯度,总体上呈现从东到西依次递减的态势。(2)从时间变化趋势来看,不同地区各省份之间的耕地非农化压力指数变化呈现多元化趋势。东部沿海地区,山东、浙江、江苏的耕地非农化压力指数处于上升阶段,上海、福建的压力指数变化趋势逐渐趋稳,广东的压力指数呈现下降趋势。中部地区,河南、河北、山西、江西的耕地非农化压力指数趋稳,陕西、湖北以及四川、重庆等西南地区省份的压力指数呈上升趋势。西部沿边3省(云南、西藏、新疆)的耕地非农化压力呈现了一致的下降趋势。(3)从时空格局结合来看,耕地非农化压力不同的省份其变化趋势呈现出截然不同的走向。在耕地非农化压力较大的地区,耕地非农化经历了从制度驱动向发展推动的阶段,经济增长的倒"U"型轨迹明显,经济增长与耕地非农化之间的关系逐渐脱钩。在耕地非农化压力居中或较小的地区,产业发展滞后,土地比较收益较低,耕地的社会保障作用、生态作用对耕地非农化的影响较大,从而增加了部分省份的耕地非农化压力。     

中国人口集疏格局与形成机制研究

人口集聚和疏散是人口空间分布格局最直观和最集中的体现,基于人口集聚度的中国人口集疏的空间格局和形成机制的研究,有助于准确把握中国人口空间分布的基本脉络,具有重要的学术价值和实践意义。研究采用了人口集聚度分级评价的方法,依据人口集聚度的不同,将各个地区划分为不同等级的人口集聚区,并对其分别讨论。在此基础上,结合中国人口分布格局、自然条件的空间分布格局、人居环境自然适宜性评价结果以及经济发展格局和城市化格局,对中国的人口集疏的空间格局进行了归纳,并进一步对相应的形成机制进行了探讨,得出了我国人口分布的空间不平衡日益加剧,并呈现沿海、沿江、沿线集聚的态势的基本结论,并对我国人口分布集疏格局的形成进行了探讨,提出了自然因素奠定我国人口分布的基本格局,而经济发展不平衡与城市化成为人口集聚的动力的观点。     

城市基本生态控制线划定范围研究

结合景观生态学原理,将城市基本生态控制线分解为基本农田控制线,河流与湿地控制线,林地控制线,山体控制线,海岸、沙滩控制线,针对每个景观生态要素控制线,通过定性、定量分析,分别提出划定依据、原则或方法。     

Spatial distribution of perfluoroalkyl acids in the Pearl River of Southern China

An intensive campaign was conducted in September 2012 to collect surface water samples along the tributaries of the Pearl River in southern China. Thirteen perfluoroalkyl acids (PFAAs), including perfluorocarboxylates (PFCAs, C4–C11) and perfluorosulfonates (PFSAs, C4, C6–C8, and C10), were determined using high-performance liquid chromatography/negative electrospray ionization–tandem mass spectrometry (HPLC/(-)ESI–MS/MS). The concentrations of total PFAAs (ΣPFAAs) ranged from 3.0 to 52 ng L⁻¹, with an average of 19 ± 12 ng L⁻¹. The highest concentrations of ΣPFAAs were detected in the surface water of the Dong Jiang tributary (17–52 ng L⁻¹), followed by the main stream (13–26 ng L⁻¹) and the Sha Wan stream (3.0–4.5 ng L⁻¹). Perfluorooctanoate (PFOA), perfluorobutane sulfonate (PFBS), and perfluorooctane sulfonate (PFOS) were the three most abundant PFAAs and on average accounted for 20%, 24%, and 19% of ΣPFAAs, respectively. PFBS was the most abundant PFAA in the Dong Jiang tributary, and PFOA was the highest PFAA in the samples from the main stream of the Pearl River. A correlation was found between PFBS and PFOA, which suggests that both of these PFAAs originate from common source(s) in the region. Nevertheless, the slope of PFBS/PFOA was different in the different tributaries sampled, which indicates a spatial difference in the source profiles of the PFAAs.     

湖北宣恩七姊妹山天师栗(Aesculus wilsonii)群落特征

天师栗（Aesculus wilsonii）是我国特有的珍稀树种，其天然分布比较零散，极少有大面积的自然群落存在。对湖北宣恩七姊妹山天然分布的天师栗群落采用相邻格子法进行调查，研究了群落的物种多样性、空间格局、群落结构和种群径级结构等群落特征。结果表明：（1）天师栗是群落的主要优势树种，其重要值为22.7，远大于重要值排在第二位的红枝柴（重要值为13.7），且在群落中呈聚集分布类型；（2）群落物种比较丰富，相对于灌木层和草本层，乔木层丰富度指数和均匀度指数较低，优势度指数较高，说明乔木层物种没有灌木层和草本层多，且分布不均匀，但优势种作用显著，成层现象明显；（3）群落的年龄〖JP2〗结构显示，该群落虽然目前处于稳定阶段，但群落中5个优势种群的幼年个体补充都严重不足，潜在的影响群落以后的生存和发展。应采取保护措施，促进群落的自然演替.     

Spatial distribution of polychlorinated biphenyls (PCBs) and polybrominated biphenyl ethers (PBDEs) in an e-waste dismantling region in Southeast China: Use of apple snail (Ampullariidae) as a bioindicator

Fengjiang is a large e-waste dismantling site located in southeast China. In this paper, apple snail and soil samples were collected from this e-waste dismantling site and 25 vicinal towns to investigate the contamination status, spatial distributions and congener patterns of polychlorinated biphenyls (PCBs) and polybrominated biphenyl ethers (PBDEs). Total PCB concentrations in apple snails (3.78-1812 ng g⁻¹ dry weight (dw)) were significant higher than that in soil samples (0.48-90.1 ng g⁻¹ dw). PBDE (excluding BDE 209) concentrations in apple snail and soil samples ranged from 0.09 to 27.7 ng g⁻¹ dw and 0.06 to 31.2 ng g⁻¹ dw, respectively. Concentrations of PCBs and PBDEs in snails and soils correlated negatively with the distance from Fengjiang. Both the concentrations and profiles of the pollutants were significantly correlated (p < 0.05) between the snail and soil samples, indicating the suitability of apple snail as a reliable bioindicator for PCBs and PBDEs contamination in this region. Relatively high concentrations of PCBs and PBDEs at locations far from e-waste dismantling sites implied that these pollutants have been transported to surrounding regions.     

Metabolic diversity of the heterotrophic microorganisms and potential link to pollution of the Rouge River

The heterotrophic microbial communities of the Rouge River were tracked using Biolog Ecoplates to understand the metabolic diversity at different temporal and spatial scales, and potential link to river pollution. Site less impacted by anthrophogenic sources (site 1), showed markedly lower metabolic diversity. The only substrates that were utilized in the water samples were carbohydrates. Sites more impacted by anthrophogenic sources (sites 8 and 9) showed higher metabolic diversity. Higher functional diversity was linked to the physico-chemical and biological properties of the water samples (i.e. higher concentrations of DO, DOC, chlorophyll, and bacterial density). Biolog analysis was found to be useful in differentiating metabolic diversity between microbial communities; in determining factors that most influence the separation of communities; and in identifying which substrates were most utilized by the communities. It can also be used as an effective ecological indicator of changes in river function attributable to urbanization and pollution.     

山东半岛城市群地区空间极化及其影响因素研究

以县（市）作为研究单元，采用综合指数法，分别计算山东半岛城市群1986、2008年经济社会发展综合指数，通过比较各单元经济社会发展综合指数的变化，研究了20世纪80年代以来山东半岛城市群地区空间极化的特点；采用面板数据模型，定量探讨了山东半岛城市群地区空间极化的影响因素。研究表明：山东半岛城市群地区经济活动有明显的经济中心指向、沿海指向，空间发展依然以极化为主，新的发展极已经出现，但分布在区域的边缘地带，带动作用不大；大都市区整体规模加剧膨胀，核心和外围地区出现极化和反极化现象；东部地区出现网络化发展的雏形。原有经济基础、产业结构转换能力和经济全球化水平是改革开放以来山东半岛城市群地区空间极化的主要影响因素