我国副省级城市第三产业发展研究——以哈尔滨为例

第三产业发展水平是衡量一个国家经济实力的重要标准,综合评价第三产业,有助于正确认识我国各地区第三产业的发展水平。以我国15个副省级城市为研究对象,构建第三产业综合发展水平指标体系,运用主成分分析法,通过比较分析得出哈尔滨市第三产业发展中存在的问题,并提出相关对策建议。     

我国滨海地区入境旅游流空间结构研究

以我国滨海11个省（市）1995--2011年17年间入境旅游资料为基础,从旅游流流量、旅游流客源地空间结构和旅游流目的地空间结构方面研究入境旅游流空间结构。结果显示,滨海省（市）入境旅游流流量一直呈现持续增长态势;滨海省（市）入境旅游外国客源市场的地理集中指数处于31—34．5之间,总体趋势减小;入境游客密度指数说明滨海地区入境旅游流目的地呈现明显的非均衡态势,整体上是从中心向两翼递减的空间格局。     

渠县近5年大气污染特征及预测分析

本文应用污染损害综合指数法,分析了四川省渠县近5年来的大气变化及其危害程度,并运用GM(1,1)模型对渠县未来8年的大气状况作预测。结果表明,渠县大气环境主要污染物为可吸入微粒,其浓度变化呈逐年下降趋势,从2008年开始TSP有明显下降,SO2与NO2含量较低并且比较稳定。通过GM(1,1)模型对渠县空气质量进行预测得知,SO2、NO2逐渐下降,TSP的浓度将大幅度下降,在未来的8年里渠县的空气环境质量得到大幅度的提高。     

Comparison of the Performance of Statistical Models in Forecasting Monthly Total Dissolved Solids in the Rio Grande1

Abudu, S., J.P. King, Z. Sheng, 2011. Comparison of the Performance of Statistical Models in Forecasting Monthly Total Dissolved Solids in the Rio Grande. Journal of the American Water Resources Association (JAWRA) 48(1): 10‐23. DOI: 10.1111/j.1752‐1688.2011.00587.x Abstract: This paper presents the application of autoregressive integrated moving average (ARIMA), transfer function‐noise (TFN), and artificial neural networks (ANNs) modeling approaches in forecasting monthly total dissolved solids (TDS) of water in the Rio Grande at El Paso, Texas. Predictability analysis was performed between the precipitation, temperature, streamflow rates at the site, releases from upstream reservoirs, and monthly TDS using cross‐correlation statistical tests. The chi‐square test results indicated that the average monthly temperature and precipitation did not show significant predictability on monthly TDS series. The performances of one‐ to three‐month‐ahead model forecasts for the testing period of 1984‐1994 showed that the TFN model that incorporated the streamflow rates at the site and Caballo Reservoir release improved monthly TDS forecasts slightly better than the ARIMA models. Except for one‐month‐ahead forecasts, the ANN models using the streamflow rates at the site as inputs resulted in no significant improvements over the TFN models at two‐month‐ahead and three‐month‐ahead forecasts. For three‐month‐ahead forecasts, the simple ARIMA showed similar performance compared to all other models. The results of this study suggested that simple deseasonalized ARIMA models could be used in one‐ to three‐month‐ahead TDS forecasting at the study site with a simple, explicit model structure and similar model performance as the TFN and ANN models for better water management in the Basin.     

Watershed Regressions for Pesticides (warp) Models for Predicting Atrazine Concentrations in Corn Belt Streams1

Stone, Wesley W. and Robert J. Gilliom, 2012. Watershed Regressions for Pesticides (WARP) Models for Predicting Atrazine Concentrations in Corn Belt Streams. Journal of the American Water Resources Association (JAWRA) 48(5): 970‐986. DOI: 10.1111/j.1752‐1688.2012.00661.x Abstract: Watershed Regressions for Pesticides (WARP) models, previously developed for atrazine at the national scale, are improved for application to the United States (U.S.) Corn Belt region by developing region‐specific models that include watershed characteristics that are influential in predicting atrazine concentration statistics within the Corn Belt. WARP models for the Corn Belt (WARP‐CB) were developed for annual maximum moving‐average (14‐, 21‐, 30‐, 60‐, and 90‐day durations) and annual 95th‐percentile atrazine concentrations in streams of the Corn Belt region. The WARP‐CB models accounted for 53 to 62% of the variability in the various concentration statistics among the model‐development sites. Model predictions were within a factor of 5 of the observed concentration statistic for over 90% of the model‐development sites. The WARP‐CB residuals and uncertainty are lower than those of the National WARP model for the same sites. Although atrazine‐use intensity is the most important explanatory variable in the National WARP models, it is not a significant variable in the WARP‐CB models. The WARP‐CB models provide improved predictions for Corn Belt streams draining watersheds with atrazine‐use intensities of 17 kg/km² of watershed area or greater.     

基于应力分析的机载电子设备可靠性加速增长试验技术研究

本文论述了基于应力分析的机载电子设备可靠性加速增长试验流程和方法,以某机载惯导产品为例说明了加速系数计算方法。这一方法对于其他机载电子产品的可靠性评估工作有一定的指导意义。     

基于ISO 16750-2的汽车电源异常现象分析

本文通过研究汽车电源异常现象的来源,结合ISO 16750-2及各大车厂的要求,对各种汽车电源异常现象进行了分类和全面的阐述,使大家对ISO 16750-2有更加深入的理解。同时对ISO 16750-2:2010中出现的几个标误进行了分析说明,可供实验室和相关产品的供需双方参考。     

基于因子分析和聚类分析的江苏十三市环境保护评价研究

本文根据工业废水排放量、工业二氧化硫排放量、工业烟尘排放量、工业废水排放达标率、工业固体废物综合利用率5个指标的统计数据,运用因子分析和聚类分析,对江苏13个市的环境保护状况进行评价,并将其分成5个不同的类别,第1类是苏州,第2类是南京,第3类包括无锡、南通、常州,第4类包括徐州、扬州、泰州、淮安、宿迁,第5类包括盐城、镇江、连云港,然后进一步对各类城市在污染强度和污染控制方面的特征进行分析。最后,分别对每类地区的环境保护提出对策建议。     

秦皇岛市“创模”对策研究及效益分析

介绍了秦皇岛市创建国家环境保护模范城市的意义,重点阐述了完成创模任务的主要对策,包括:构建以旅游业为中心、特色产业互融互促的现代产业体系;加快城乡一体化建设;提升城镇发展质量和水平;加强重大基础设施建设;积极推广清洁能源,深入开展工程节能;积极推进循环经济发展等。秦皇岛市创建国家环境保护模范城市,将会在环境、经济和社会三方面产生明显的综合效益。     

中国与美国对外直接投资区位选择的比较研究

基于邓宁的国际生产折衷理论,对比了中美两国投资规模、空间分布和发展阶段,利用灰色关联分析法比较了影响两国投资区位的因子.结果表明,影响美国对外投资的主要因子是人均GNP、CH和CO2的排放量,影响中国的主要因子是直接投资净流入量、航空运输量和CPI;美国对外直接投资属于市场导向型,而中国尚处于转型期,为对外投资第三阶段.