1994~2006年上海市土地利用时空变化特征及驱动力分析

快速发展的都市地区是区域土地利用变化研究热点。基于上海市1994、2000、2003和2006年4期航空遥感影像资料数据,运用人机交互目视解译方法建立上海土地利用空间数据库,并结合GIS空间分析、数理统计方法与土地利用动态度模型,对上海市1994~2006年土地利用时空变化特征进行了深入分析。结果表明：12 a间,上海市综合土地利用动态度为207%;在各种用地变化中,耕地面积变化最大,共减少了94 00772 hm2,减幅达233%;从耕地转移来看,转变为城镇建设用地（包括工业仓储用地、交通用地、城镇居民点用地和其他用地）面积共74 82586 hm2,占耕地面积总流出量的6712%;可见城镇建设用地急剧扩张而大量占用耕地,是上海市土地利用变化的主要特征;上海市土地利用变化的另一个重要特征是城市绿地的大幅增加,12 a间城市绿地面积共增加了9 29241 hm2,单一动态度为1876%。从上海土地利用变化的区域特征来看,各区的综合土地利用动态度差异明显,且表现出明显的中心城区-近郊-远郊递减趋势,其中浦东新区综合土地利用动态度最大,崇明县最小,这种差异与各区（县）的区位条件、经济发展状况以及政策等因素密切相关。通过对上海LUCC的驱动力定性定量分析表明,社会经济因素包括人口分布及变化、经济增长、人民生活水平的提高、政策以及国际大型活动的举办均对上海土地利用格局及其变化产生了重要的影响     

耕地集约利用影响因素的协整分析

耕地利用的集约度实质上是农户在其所面临的各种经济和制度环境约束条件下,所采取的不同耕种行为的直接结果和体现.本文试借助分析影响农户耕种行为的相关因素来探讨其对耕地集约利用的影响.利用Eviews 6.0统计软件,综合应用协整理论和误差修正模型,以湖北省为例,剖析耕地集约利用与其影响因素的长期均衡关系和短期波动效应.研究表明:在长期,户均农业劳动力人数、农业比较收入和耕地的产权保障对耕地利用的集约度存在正向影响,其增加1个百分点,将导致耕地利用的集约度分别提高0.166、0.430和0.035个百分点;农民家庭人均农业生产支出和农业生产资料价格指数对耕地利用的集约度存在负向影响,其增加1个百分点,将导致耕地利用的集约度分别下降0.004和0.008个百分点.而在短期,各影响因素对耕地利用集约度的作用方向相同而作用力大小不同.户均农业劳动力人数和农业比较收入对耕地集约利用的作用程度在短期与在长期是相似的;但耕地的产权保障和农业生产成本的变化对耕地集约利用的影响却更多体现在长期.因此,立足于稳定产权和降低农业生产成本的农业政策导向更有利于在长期保护耕地,提高耕地资源的配置和利用效率.     

An Empirical Study on the Environmental Kuznets Curve for China’s Carbon Emissions:Based on Provincial Panel Data

Based on the Environmental Kuznets Curve theory,the authors choose provincial panel data of China in 1990 2007 and adopt panel unit root and co-integration testing method to study whether there is Environmental Kuznets Curve for China’s carbon emissions.The research results show that:carbon emissions per capita of the eastern region and the central region of China fit into Environmental Kuznets Curve,but that of the western region does not.On this basis,the authors carry out scenario analysis on the occurrence time of the inflection point of carbon emissions per capita of different regions,and describe a specific time path.     

Substituting missing data in compositional analysis

Multivariate analysis of environmental data sets requires the absence of missing values or their substitution by small values. However, if the data is transformed logarithmically prior to the analysis, this solution cannot be applied because the logarithm of a small value might become an outlier. Several methods for substituting the missing values can be found in the literature although none of them guarantees that no distortion of the structure of the data set is produced. We propose a method for the assessment of these distortions which can be used for deciding whether to retain or not the samples or variables containing missing values and for the investigation of the performance of different substitution techniques. The method analyzes the structure of the distances among samples using Mantel tests. We present an application of the method to PCDD/F data measured in samples of terrestrial moss as part of a biomonitoring study.     

基于高频AQI数据的关中城市群空气污染规律探索

基于高频分时AQI及各污染物浓度数据,本文使用"AQI小时指数"、首要污染物等进行统计分析并建立VAR模型对关中城市群空气污染的总体情况、日内波动规律以及城市间空气污染的关联规律做了不同层次的挖掘。研究结果表明:(1)关中城市群的空气质量整体较差,春、冬季空气污染程度明显大于夏季,空气污染的"季节效应"和"集簇性"明显,且主要表现为颗粒物污染。(2)空气质量的日内波动规律在春、冬两季表现为下半天优于上半天,夏季夜间优于白天。但在不考虑四季AQI小时指数图"相位"差异的情况下,四季空气污染的日内波动呈现出明显的相似性。(3)各城市空气污染存在明显的关联规律。城市群内一个城市空气污染的恶化会加剧其他城市的空气污染,并且对其他城市空气污染的影响峰值会在24小时之内出现,且该影响会随着空间和时间尺度的增大而逐步衰减。     

绿色“一带一路”建设研究及建议

生态环保是"一带一路"建设的重要内容。在2017年5月14日召开的"一带一路"国际合作高峰论坛系列成果清单包括《关于推动绿色"一带一路"建设的指导意见》、《"一带一路"生态环境保护合作规划》、"一带一路"生态环保大数据服务平台建设、"一带一路"绿色发展国际联盟建立等四项。为更好地理解和推动执行,本文全面进行了分析,并提出下一步推动绿色"一带一路"工作需要解决的关键问题和建议。     

模拟车用工况下5kW燃料电池尾气净化系统

模拟了车用工况下燃料电池发动机脉冲式排氢的特点,设计开发了一套质子交换膜燃料电池的尾气净化系统,并以5 kW燃料电池的尾气排放为例,研究其净化效果。研究了电池阳极排放氢气缓冲前后尾气中氢气浓度的变化,以及不同空速条件下氢气的去除效果。结果表明：电堆阳极排放氢气经过缓冲处理后,尾气中氢气浓度趋于平稳,大部分工况下处在2%以下,达到了安全处理的要求;尾气中氢气的去除效果与空速密切相关。对自制的整体式催化剂而言,当空速低于20000 h^-1时,氢气的去除率能达到约95%,而当空速达到39270 h^-1时,氢气的去除率仅为10.9%。鉴于这一问题,提出通过采用尾排空气的分流手段调整催化燃烧反应器对空速的要求,以提高尾气中氢气的去除率。     

An imprecise fuzzy risk approach for water quality management of a river system

Uncertainty plays an important role in water quality management problems. The major sources of uncertainty in a water quality management problem are the random nature of hydrologic variables and imprecision (fuzziness) associated with goals of the dischargers and pollution control agencies (PCA). Many Waste Load Allocation (WLA) problems are solved by considering these two sources of uncertainty. Apart from randomness and fuzziness, missing data in the time series of a hydrologic variable may result in additional uncertainty due to partial ignorance. These uncertainties render the input parameters as imprecise parameters in water quality decision making. In this paper an Imprecise Fuzzy Waste Load Allocation Model (IFWLAM) is developed for water quality management of a river system subject to uncertainty arising from partial ignorance. In a WLA problem, both randomness and imprecision can be addressed simultaneously by fuzzy risk of low water quality. A methodology is developed for the computation of imprecise fuzzy risk of low water quality, when the parameters are characterized by uncertainty due to partial ignorance. A Monte-Carlo simulation is performed to evaluate the imprecise fuzzy risk of low water quality by considering the input variables as imprecise. Fuzzy multiobjective optimization is used to formulate the multiobjective model. The model developed is based on a fuzzy multiobjective optimization problem with max–min as the operator. This usually does not result in a unique solution but gives multiple solutions. Two optimization models are developed to capture all the decision alternatives or multiple solutions. The objective of the two optimization models is to obtain a range of fractional removal levels for the dischargers, such that the resultant fuzzy risk will be within acceptable limits. Specification of a range for fractional removal levels enhances flexibility in decision making. The methodology is demonstrated with a case study of the Tunga–Bhadra river system in India.     

基于面板数据的土地投入对经济增长的影响-以浙江省为例

采用生产函数与面板数据回归模型相结合的研究手段,以地处经济发达地区的浙江省为实证研究区域对土地要素投入对经济增长的影响进行了定量的研究。研究结果表明：(1)就规模效应而言,浙江省的经济增长处于规模报酬不变的发展阶段;(2)浙江省经济增长对劳动力要素的投入最为敏感,其中土地要素、劳动力要素和资本要素增加1个单位的投入量对经济增长的推动为 0.247 3、0.538 5 和 0.321 6;（3）固定资产投入在研究期间是浙江省经济增长的主要推动力,其贡献率达到6823%,而劳动力要素与土地要素则分别为2346%和625%;(4)浙江省土地利用不够集约,在研究期间土地要素对经济增长的影响能被资本要素与劳动力要素有效替代,而劳动力要素则难以被资本投入与土地投入有效替代,劳动集约型产业应该成为浙江省未来发展方向之一。     

Impact of training programs on decision-making and situation awareness of trainee watch officers

This paper examines the impact of training programs on the ability of trainee watch officers to make decisions in collision avoidance situations.It draws on previous studies which have shown that experts are able to manage complex situations in an acceptable way. However, observations of students on simulators have revealed that many of them are unable to manage such situations or even to recall their main features. It is therefore necessary to identify new training tools that will give trainees the capacity to assess a situation quickly and accurately, and to perform satisfactory actions. These would be in addition to formal regulations.Exercises were designed to evaluate the impact of such tools on the decision-making process of trainees. The impact of the type of navigation experienced by trainees during their on-the-job training was also evaluated.Results showed that decision-making exercises did tend to improve the trainees’ capacity to analyse a complex situation; however, they did not have a clear impact on the manoeuvre performed. On the contrary, there was an obvious difference between the trainees who experienced complex avoidance situations during their on-the-job training period and those who did not.At a time where ship-owners are looking to reduce the length of the “on-the-job” training period, these results point to its vital importance.