基于扇区动态复杂性因素的航空管制员工作负荷计算

为了更加准确地计算和预测航空管制员的工作负荷,利用雷达管制模拟试验获取的数据,分别采用线性回归、神经网络的非线性回归和基于神经网络的支持向量机方法,建立了基于扇区复杂性因素的管制员工作负荷实时计算模型。结果表明,这3种模型的绝对误差平均值分别为0.969、1.049、0.240;相对误差平均值分别为16.667%、17.979%、6.229%;均方根误差分别为0.186、0.206、0.114。另外,若采用5%作为基准精度,基于神经网络的支持向量机模型可以将相对误差控制在-0.5%~0.5%,表现出较强的误差控制能力。研究表明,可以采用扇区动态复杂性因素来计算管制员的工作负荷,相比线性回归、神经网络的非线性回归方法,基于神经网络的支持向量机方法对管制员工作负荷的计算有更高的精度。     

供电作业人身事故危害多元线性回归预测

为了定量评估电网作业和运行的风险,提出了一种基于5M因素分析法和多元线性回归的供电作业人身事故危害预测方法。借鉴安全行为学、安全心理学和事故致因理论,首先将供电作业中影响人身安全的因素分成5个大类,即人、设备、材料、方法和环境。然后分析所有因素间的相关性,将相关性较强的影响因素中对人身事故危害程度弱的一方剔除,并采用南方某电网公司人身伤亡事故数据为例进行分析,删除了两个人身安全影响因素:工器具配置和作业性质。继而,采用多元线性回归法建立供电作业人身事故危害值与各人身安全影响因素间的关系,对供电作业人身事故危害值进行预测。最后,以南方该电网公司2003~2013年发生的64起供电作业事故验证所提方法的有效性和准确性。     

基于超效率SBM的中国省际工业化石能源效率评价及影响因素分析

工业占据我国最大的化石能源终端消耗,评价中国工业化石能源效率对于提高我国工业化石能源效率和实现节能减排目标具有重要意义.本文运用包含非期望产出的超效率SBM模型评价中国30个省(直辖市、自治区)和三大区域(东部、中部、西部)2006—2011年间的工业化石能源效率,运用Tobit回归模型分析工业化石能源效率的影响因素,并给出各区域节能减排潜力.研究结果表明:北京、天津、上海等地区每年的工业化石能源效率指数均远远领先于其他省份;东部区域效率值以明显的优势高于中部和西部区域;西部区域的效率值比较平稳;中部区域内部各地区效率值比东部和西部区域集中.Tobit回归分析结果表明,地区GDP、经济结构、外商直接投资、工业新增固定投资和地理位置位于东部对地区工业化石能源效率有积极影响;产业结构和地理位置位于中部对地区工业化石能源效率有消极影响;地区人均GDP对地区工业化石能源效率没有显著性影响.东部地区油品和天然气节能潜力较大,中部地区煤炭节能潜力较大,西部地区煤炭和天然气节能潜力较大;中部和东部地区是工业CO2减排的重点.基于以上研究本文给出了3点建议提升工业能源效率.     

Development and Evaluation of Bankfull Hydraulic Geometry Relationships for the Physiographic Regions of the United States

Bankfull hydraulic geometry relationships are used to estimate channel dimensions for streamflow simulation models, which require channel geometry data as input parameters. Often, one nationwide curve is used across the entire United States (U.S.) (e.g., in Soil and Water Assessment Tool), even though studies have shown that the use of regional curves can improve the reliability of predictions considerably. In this study, regional regression equations predicting bankfull width, depth, and cross‐sectional area as a function of drainage area are developed for the Physiographic Divisions and Provinces of the U.S. and compared to a nationwide equation. Results show that the regional curves at division level are more reliable than the nationwide curve. Reliability of the curves depends largely on the number of observations per region and how well the sample represents the population. Regional regression equations at province level yield even better results than the division‐level models, but because of small sample sizes, the development of meaningful regression models is not possible in some provinces. Results also show that drainage area is a less reliable predictor of bankfull channel dimensions than bankfull discharge. It is likely that the regional curves can be improved using multiple regression models to incorporate additional explanatory variables.     

南黄海南部海域表层沉积物重金属来源解析及风险评价

基于2012年夏季对南黄海南部海域的调查资料,分析了表层沉积物中7种重金属元素的含量分布特征;采用多元统计分析,揭示了研究区表层沉积物重金属污染的主要来源及各元素之间的相关性;应用地质累积指数法和Hakanson潜在生态风险指数法对重金属元素进行了污染及风险分析.结果表明:Cd、Pb的含量均符合国标规定的一类沉积物标准,Zn、Cu、Cr在绝大部分站位也都低于国标规定的一类沉积物的最高标准,仅在个别站位处达到二类或三类沉积物标准;除Cr、Cd、Mn外,其余各重金属与Al2O3、平均粒径之间有显著的相关性,表明它们均以自然来源为主,并受到沉积物粒度的控制,遵循"元素的粒度控制律";Cr、Cd、Mn与Al2O3的相关系数较小,表明其可能受到人为污染源的影响.通过主成分分析和聚类分析可将7种重金属元素辨识为2个主成分,PC1(Zn、Cu、Pb、Fe、Mn)为自然源因子,PC2(Cr、Cd)为工农业源因子;其中,Cr、Cd在PC1和PC2上均具有一定的正载荷,受自然地质背景和人类活动的共同控制.地质累积指数法评价结果表明,Zn、Cu、Cd、Pb整体均处于清洁级别,而Cr则处于轻微污染水平,污染程度排序依次为CrPbCdZnCu;潜在生态风险评价结果表明,各元素潜在生态危害等级排序依次为CdPbCuCrZn,Cr、Zn、Cu和Pb均为低生态危害等级,Cd以低中等生态危害等级为主,局部出现较重生态危害等级,综合潜在生态风险评价为低度.     

高寒藏区农牧村家庭能源消费特征及影响因素——以甘南高原为例

能源是消除贫困和实现经济社会与人类发展的重要因素。文章在对甘南高原23个乡镇357个家庭用能资料分析的基础上,研究了高寒藏区农牧村家庭能源消费的特征及主要影响因素。结果表明:1农牧村人均能源消费量为996.05 kgce,以畜粪等生物质能为主,能耗水平高,消费品质差,综合热效率只有18.77%,大部分农牧民还停留在满足基本生存需求的状态;2从牧区到农区,能源消费结构由单一转向多元化,热效率从16.87%提高到23.93%,人均能耗水平逐渐降低,空间阶梯特征明显;3农牧村家庭能源消费模式是多种因素影响的结果,其中牧区主要受生活方式、家庭规模和宗教支出的影响,农牧交错区主要受家庭规模、家庭年收入、家用电器种类和年均取暖时间的影响,农区主要受人均耕地面积、家庭年收入和家庭规模的影响;4结合农牧村实际情况,建议实施牧民定居工程、增加现代能源供给、鼓励使用新能源设备、推广生物质能高效清洁利用技术、强化农牧民的节能环保意识,在保证农牧民基本能源需求的基础上,尽可能减轻能源消费带来的环境压力。     

A new method for the prediction of flash points for ternary miscible mixtures

The flash point is one of the most important physicochemical parameters used to characterize the fire and explosion hazard for flammable liquids. The flash points of ternary miscible mixtures with different components and compositions were measured in this study. Four model input parameters, being normal boiling point, the standard enthalpy of vaporization, the average number of carbon atoms and the stoichiometric concentration of the gas phase for mixtures, were employed and calculated based on the theory of vapor–liquid equilibrium. Both multiple linear regression (MLR) and multiple nonlinear regression (MNR) methods were applied to develop prediction models for the flash points of ternary miscible mixtures. The developed predictive models were validated using data measured experimentally as well as taking data on flash points of ternairy mixtures from the literature. Results showed that the obtained average absolute error of both the MLR and the MNR model for all the datasets were within the range of experimental error of flash point measurements. It is shown that the presented models can be effectively used to predict the flash points of ternary mixtures with only some common physicochemical parameters.     

密云库区1991～2011年水质变化趋势研究

运用多元统计方法分析密云库区1991~2011年17个指标3个监测点的水质时间变异特征.应用聚类分析划分年际尺度上的年际Ⅰ(1991~1993,1995年),年际Ⅱ(1994,1996~2000,2002~2006年),年际Ⅲ(2001,2007~2011年)和季节尺度上的非汛期(11~12月、1~4月),汛期(5-10月).基于此,运用判别分析阐释影响年际及季节水质变异的环境因素,最后运用因子分析识别不同年际段的污染来源和组成.密云水库21年间TP均值(0.03mg/L)略高于地表水Ⅱ类标准,TN均值(0.98mg/L)超过国家Ⅱ类标准的0.96倍,NO3--N是TN均值超标的主要原因,氮磷污染问题仍需要重点监测和治理;库区植物生长状况和密度不均等及人为排放的不固定性使得TP变异系数较大;NO3--N的较大变异系数体现在年际及季节变异性,非点源污染的控制(水土保持、化肥使用量减少、生活污水减少)和网箱养鱼的取消改善了库区21年水质,NO3--N浓度降低,其季节变异发生在特定季节;另外,年际尺度上,气候变化引起了库区T增加;酸性点源减少使p H升高;工业活动、化肥使用等人为影响的SO42-显著上升促进了碳酸盐岩溶解,使EC、Ca2+、Mg2+、SO42-、T-Hard、T-Alk浓度增加;内源污染减少致使BOD5浓度下降;季节尺度上,季节性气温变动促使非汛期T低于汛期;非汛期碳酸盐岩溶解使Mg2+浓度高于汛期.对比不同年际段的水体污染来源,点源-非点源复合污染转化为以非点源污染为主,21年间非汛期地下水补给过程中碳酸盐岩的溶解作用一直影响水体化学特性,汛期降水径流携带的污染物直接影响水质状况,氮素污染组成简化,以NO3--N为主.控制流域水土流失、畜禽养殖、化肥使用等非点源污染,增强水利流通性,及时清理底泥及沉积物,能够有效减少库区氮磷,有机物及离子污染.     

基于Logistic的辽河口湿地景观格局变化驱动力分析

文章以辽河口湿地景观格局为例,考虑湿地景观格局变化过程的空间变量,建立了不同湿地景观格局变化过程的二元Logistic回归模型。模拟结果表明:模型中转为建筑用地的主要解释变量是城镇人口变化率;转为芦苇地的主要解释变量是农村人口变化率和过境水资源变化率;转为水稻田的主要解释变量是农村人口变化率;转为养殖池的主要解释变量是第一产值变化率和农村人口变化率。空间异质性和湿地景观格局变化过程的时间变量共同影响着使用二元Logistic回归模型来解释湿地景观格局变化驱动力的能力;通过对各个模型的二元Logistic回归模型进行检验,得出空间统计模型能较好地揭示不同湿地景观格局变化过程的主要驱动力及其作用机理。     

Transport risk modeling for hazardous chemical transport Companies—A case study in China

Traffic accidents of hazardous chemical transport vehicles strongly correlate with the operation and management level of road transport companies. An accurate risk assessment of these transport companies will play a critical role in improving their management and supervision and in turn the overall safety of roadways, property, and most importantly people's lives. Therefore, this study constructs a logistic regression scorecard model to evaluate transport risk of hazardous chemical transport companies and evaluates it using a case study in China. This study first selected 16 indicators from the dimensions of driver behaviors, driving performance, dangerous goods and company business operation to construct company user portraits. Next, a K-means++ algorithm was used to cluster the data samples of the companies on a monthly basis. On this basis, a scorecard was constructed based on a logistic regression scorecard model to realize and visualize the monthly risk portrait of companies. The constructed scorecard predicted transport risk of companies accurately. The results show that the more complex the types of dangerous goods transported, the higher the risk value of the company in the dangerous goods index. Moreover, for transport companies, the driver behaviors and driving performance on their trips are closely related to their business risk. In a practical application, the proposed scorecard can realize the dynamic risk monitoring of transport companies and enable managers and supervision departments to clarify where the risk is from. The transport companies can also carry out safety training and rectification for drivers and operations to reduce the occurrence of hazardous materials-related traffic accidents.