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。     

剑麻纤维基多孔炭材料的制备及其吸附氯苯的研究

以剑麻纤维为原料,通过简易的一步炭化活化法制备了一系列多孔炭材料,分别探究了3种温和的金属盐活化剂、活化剂与剑麻纤维的质量比和活化温度对炭材料的氯苯吸附量的影响,并通过BET、SEM、XRD、Raman、FT-IR、元素分析等手段表征其物理化学性质.结果表明,当采用CuCl₂为活化剂、CuCl₂与剑麻纤维的质量比为10∶1及活化温度为800 ℃时,制备得到的剑麻纤维基多孔炭（PCC）吸附性能最佳,其在氯苯浓度为1560 mg·m^-3时,吸附量达到856 mg·g^-1,而未经CuCl₂活化的炭材料（PC）的氯苯吸附量仅为15 mg·g^-1.氯苯吸附性能的提升主要归因于比表面积、孔容、无序性和表面含氧官能团的增加.此外,采用巨正则系综蒙特卡洛（GCMC）方法模拟氯苯分子在制备的多孔炭材料中的吸附行为,结果表明,该材料中孔径为0.5 nm的孔对氯苯分子的吸附能力最强,且对氯苯吸附起主导作用的为苯环中心和Cl原子与炭材料上连接含氧官能团的H原子之间的静电作用力.     

社会资本对农村贫困代际传递影响机制研究

社会资本在反贫困领域的重要作用已被理论和实践所证实。在新时代脱贫攻坚的决胜阶段,有效发挥社会资本的周急济贫功能,缓解乃至阻断贫困代际传递,已成为当前反贫困战略推进中亟待探讨的问题。研究整合了四期中国家庭追踪调查(CFPS 2010、2012、2014、2016)个体家庭和村庄的嵌套数据,建立了“认知型”和“结构型”两种类型以及“个体家庭”和“村庄”两个层级的社会资本框架,并基于探索性因子分析构建了社会网络、社会信任、社会声望、社会参与、集体参与以及公共服务6个社会资本变量。研究利用HLM软件构建了多层广义线性模型(HGLM),通过四阶段的空模型、截距模型、随机效应模型以及完整模型分析了绝对贫困背景下社会资本对农村贫困代际传递的影响机制。研究结果表明:①个体社会资本总量与贫困代际传递呈显著负相关。②在个体家庭层面,社会网络、社会声望、社会参与对贫困代际传递有显著负向影响,但社会信任和地方信任对贫困代际传递的影响并不显著。③在村庄层面,公共服务对贫困代际传递具有显著负向影响,集体参与对贫困代际传递具有显著正向影响,且公共服务水平对社会网络和贫困代际传递具有正向调节作用。研究提出要大力培植贫困群体和乡村两个层级的社会资本以缓解农村贫困代际传递趋势:①要通过协调“乡政”与“村治”以形成良性的乡村治理格局。②要促进精准扶贫与乡村振兴战略紧密衔接,在保障个体脱贫的同时完善农村公共服务及基础设施建设,推进城乡基本公共服务均等化;③须提振贫困群体脱贫信心,增强村级自治与集体参与的水平和能力。     

工业园区循环经济绩效评价方法研究

针对当前循环经济绩效内涵不明确,评价指标体系多局限于对循环经济发展水平等循环经济绩效评价中存在的问题,在系统归纳总结该领域研究现状基础上,明确了循环经济绩效的概念;进一步构建了基于生态效率-物质流分析的循环经济绩效评估指标体系,利用模糊数学和灰色聚类方法分别建立了循环经济绩效评估模型;最后,以上海化工园区和南通农药化学工业园为案例,对2个园区循环经济绩效进行评估。结果表明:从理论和方法上,构建的工业园区循环经济绩效评价指标体系是适用的;模糊综合评价和灰色聚类评价的结果存在一定的差异,模糊评价结果更为合理,而且该模型可以直观地表示出园区循环经济绩效的优劣势所在。进而,以上海化工园区作为标杆,针对南通农药化学工业园存在的资源效率偏低等问题,提出若干循环经济绩效改进措施。     

Spectral tests of randomness for spatial point patterns

We develop a spectral framework for testing the hypothesis of complete spatial randomness (CSR) for a spatial point pattern. Five formal tests based on the periodogram (sample spectrum) proposed in Mugglestone (1990) are considered. A simulation study is used to evaluate and compare the power of the tests against clustered, regular and inhomogeneous alternatives to CSR. A subset of the tests is shown to be uniformly more powerful than the others against the alternatives considered. The spectral tests are also compared with three widely used space-domain tests that are based on the mean nearest-neighbor distance, the reduced second-order moment function (K-function), and a bivariate Cramér-von Mises statistic. The test based on the scaled cumulative R-spectrum is more powerful than the space-domain tests for detecting clustered alternatives to CSR, especially when the number of events is small.     

海河流域水污染成因与多层次治理结构的制度选择

海河流域是我国经济相对发达地区,但也是水环境污染十分严重地区,水污染的有效治理对区域内资源节约型和环境友好型社会建设具有重要意义。本文在分析海河流域水污染现状及成因的基础上,指出单纯依赖以排污权交易为主的市场化手段进行治污的局限性。最终,分别提出针对省(市)级政府、地市级政府和企业三个层面应该采取的多层次水污染治理结构的制度选择。     

基于星座图法的湖北省农业功能分区

农业功能分区是准确把握县域农业功能定位、推动区域农业功能拓展和向现代农业转型的基础工作。旨在探索运用一种新的分类方法即星座图法在农业功能分区中的应用。剖析现代农业的功能定位问题，从农产品供应、就业与社会保障、生态调节和文化传承与休闲4大类综合功能选取30个定量指标和2个定性指标，构建了湖北省农业功能分区指标体系。采用星座图法，根据星座图中各星点的位置，确定各县（市）单项功能的分等类型；并以此为基础结合分区单元的实际地理位置和社会经济及环境现状，作出湖北省农业功能分区方案。分区结果以县级行政区域为分区单元，按照农业功能分区的基本原则，湖北省分4个农业主导功能区，各主导功能区分为3个二级区共12个二级农业功能区     

Effect of Widespread Agricultural Chemical Use on Butterfly Diversity across Turkish Provinces

Although agricultural intensification is thought to pose a significant threat to species, little is known about its role in driving biodiversity loss at regional scales. I assessed the effects of a major component of agricultural intensification, agricultural chemical use, and land‐cover and climatic variables on butterfly diversity across 81 provinces in Turkey, where agriculture is practiced extensively but with varying degrees of intensity. I determined butterfly species presence in each province from data on known butterfly distributions and calculated agricultural chemical use as the proportion of agricultural households that use chemical fertilizers and pesticides. I used constrained correspondence analyses and regression‐based multimodel inference to determine the effect of environmental variables on species composition and richness, respectively. The variation in butterfly species composition across the provinces was largely explained (78%) by the combination of agricultural chemical use, particularly pesticides, and climatic and land‐cover variables. Although overall butterfly richness was primarily explained by climatic and land‐cover variables, such as the area of natural vegetation cover, threatened butterfly richness and the relative number of threatened butterfly species decreased substantially as the proportion of agricultural households using pesticides increased. These findings suggest that widespread use of agricultural chemicals, or other components of agricultural intensification that may be collinear with pesticide use, pose an imminent threat to the biodiversity of Turkey. Accordingly, policies that mitigate agricultural intensification and promote low‐input farming practices are crucial for protecting threatened species from extinction in rapidly industrializing nations such as Turkey. Efectos del Uso Extensivo de Agroquímicos sobre la Diversidad de Mariposas en Provincias Turcas     

北京市PM2.5时空分布特征及其与PM10关系的时空变异特征

PM_(2.5)时空分布特征及其与其它污染物的相关关系是PM_(2.5)时空统计分析的主要研究内容.然而,现有的方法直接从监测站点的角度对时空分布特征进行分析,难以有效地揭示PM_(2.5)浓度的聚集分布特征;同时,常用的地理加权回归在对PM_(2.5)与其它污染物间关系进行建模的过程中,缺乏同时考虑时间异质性与空间异质性,从而不能准确地描述依赖关系的时空变异特征.为此,首先借助于空间聚类分析技术,对北京市2014年PM_(2.5)浓度的聚集结构进行探测,在此基础上,通过聚集结构来分析PM_(2.5)季节性时空分布特征.然后,利用地理时空加权回归对北京市PM_(2.5)与PM_(10)季节平均浓度间关系进行建模,依据回归结果分析PM_(2.5)-PM_(10)间关系的时空变异特征.实验结果表明,春夏季节PM_(2.5)污染程度及空间变异程度均低于秋冬季节,各季节PM_(2.5)浓度均表现为北部浓度低、南部浓度高的空间分布特征;地理时空加权回归具有更好的拟合效果,由回归系数进一步可发现,春夏季PM_(2.5)-PM_(10)相关性低于秋冬季PM_(2.5)-PM_(10)相关性;各季节均表现为西北部PM_(2.5)-PM_(10)的相关性高于东南部PM_(2.5)-PM_(10)的相关性.     

Risk factors associated with truck-involved fatal crash severity: Analyzing their impact for different groups of truck drivers

Introduction: Fatal crashes that include at least one fatality of an occupant within 30 days of the crash cause large numbers of injured persons and property losses, especially when a truck is involved. Method: To better understand the underlying effects of truck-driver-related characteristics in fatal crashes, a five-year (from 2012 to 2016) dataset from the Fatality Analysis Reporting System (FARS) was used for analysis. Based on demographic attributes, driving violation behavior, crash histories, and conviction records of truck drivers, a latent class clustering analysis was applied to classify truck drivers into three groups, namely, ‘‘middle-aged and elderly drivers with low risk of driving violations and high historical crash records,” ‘‘drivers with high risk of driving violations and high historical crash records,” and ‘‘middle-aged drivers with no driving violations and conviction records.” Next, equivalent fatalities were used to scale fatal crash severities into three levels. Subsequently, a partial proportional odds (PPO) model for each driver group was developed to identify the risk factors associated with the crash severity. Results' Conclusions: The model estimation results showed that the risk factors, as well as their impacts on different driver groups, were different. Adverse weather conditions, rural areas, curved alignments, tractor-trailer units, heavier weights and various collision manners were significantly associated with the crash severities in all driver groups, whereas driving violation behaviors such as driving under the influence of alcohol or drugs, fatigue, or carelessness were significantly associated with the high-risk group only, and fewer risk factors and minor marginal effects were identified for the low-risk groups. Practical Applications: Corresponding countermeasures for specific truck driver groups are proposed. And drivers with high risk of driving violations and high historical crash records should be more concerned.