基于空间拟合和神经网络的机场噪声预测集成模型

将集成学习方法引入到机场噪声预测中,提出一种基于空间拟合和神经网络的机场噪声预测集成模型.该模型采用空间拟合算法和BP神经网络算法构建基学习器,然后通过所提出的基于观察学习的异构集成算法将基学习器集成起来,获得集成的机场噪声预测结果.该模型通过集成多个异构机场噪声预测基学习器,能够有效提升预测准确率.实验结果表明,本文所提出的基于观察学习的异构集成算法,较之其他异构集成算法,在解决机场噪声预测问题上准确性更高、容错性更强.     

领导行为、安全文化与矿工安全行为的结构方程模型

为了提高矿工的安全行为,在相关研究基础上,提出领导行为、安全文化与矿工安全行为之间的理论假设模型。依据436份来自矿工的有效问卷,利用结构方程模型方法验证假设。结果表明:领导行为、安全文化对于安全行为具有一定的预测力和影响力,领导行为不仅对安全文化有直接影响,也通过安全文化间接影响安全行为;交易型领导对安全行为的整体影响强度高于变革型领导;变革型领导和交易型领导对安全文化各维度均有显著的正向影响关系;安全文化中除安全规程和安全培训对安全参与行为预测力不足外,其余维度均对安全遵守行为和安全参与行为有显著的正向影响关系。     

Warm glow from green power: Evidence from Australian electricity consumers

Green electricity products are increasingly made available to consumers in many countries in order to address a number of environmental and social concerns. Most of the literature on this green electricity market focuses on consumers’ characteristics and product attributes that could affect participation. However, the contribution of this environmental consumerism to the overall environmental good does not depend on participation alone. The real impact relies on market participation for green consumers (the proportion of green consumers) combined with the level of green consumption intensity – the commitment levels, or proportion of consumption that is green. We design an online interface that closely mimics the real market decision environment for electricity consumers in Western Australia and use an error component model to analyze consumers’ choice of green electricity products and their commitment levels. We show that product attributes have limited impact on the choice of green products; however, there is still great potential for better participation by improving the design of green electricity programs. When green products are selected, most respondents select the minimum commitment possible, and this is insensitive to the premium being charged on green power, suggesting that we are largely observing a buy-in ‘warm glow’ for carbon mitigation.     

Is there an inverted U-shaped curve? Empirical analysis of the Environmental Kuznets Curve in agrochemicals

As the largest contributor to water impairment, agriculture-related pollution has attracted the attention of scientists as well as policy makers, and quantitative information is being sought to focus and advance the policy debate. This study applies the panel unit root, heterogeneous panel cointegration, and panel-based dynamic ordinary least squares to investigate the Environmental Kuznets Curve on environmental issues resulting from use of agricultural synthetic fertilizer, pesticide, and film for 31 provincial economies in mainland China from 1989 to 2009. The empirical results indicate a positive long-run co-integrated relationship between the environmental index and real GDP per capita. This relationship takes on the inverted U-shaped Environmental Kuznets Curve, and the value of the turning point is approximately 10,000–13,000, 85,000–89,000 and over 160,000 CNY, for synthetic fertilizer nitrogen indicator, fertilizer phosphorus indicator and pesticide indicator, respectively. At present, China is subject to tremendous environmental pressure and should assign more importance to special agriculture-related environmental issues.     

闸控河段水质多相转化模型

针对闸控河段水质转化机理复杂的特点,提出在“水体-悬浮物-底泥-生物体”界面内开展水质多相转化研究的总体思路,推导了描述各种相态水质之间传质过程的数学表达式,构建了具有一定物理机制的闸控河段水质多相转化模型.结合槐店闸调度影响实验数据,对水质多相转化模型进行了参数识别和验证,进而模拟了不同相态水质成分的时空变化过程.结果发现:来水流量和闸门调度方式使闸上和闸下断面各相水质浓度发生变化,同时影响到藻类的生长和富集状态;闸门调度会改变闸上、闸下河段的水质主导反应机制;由于闸门调度增加了对水体的扰动,水体与外界的物质交换效果增强;在实验前期蓝藻数量的变化主要受水流的迁移作用影响,在后期闸上断面主要受闸门阻隔的影响,闸下断面主要受流速、流量和营养物质浓度改变等作用综合影响.     

聚合物包膜肥料研究进展

控释肥料具有重要的经济效益和生态效益,目前世界上应用最多的控释肥料是聚合物包膜肥料。简要阐述了聚合物包膜肥料的研究现状和聚合物模型膜,并对养分释放的模拟进行了探讨。影响聚合物包膜肥料养分释放的因素主要有：膜厚、颗粒半径、扩散系数、养分组成及其溶解特性。国内聚合物包膜肥料的应用还处于起步阶段,随着经济的发展,聚合物包膜肥料在国内具有巨大的应用潜力。中国有关聚合物包膜肥料的研究取得了较好进展,但与发达国家相比,仍然处于较低水平。因此,推出具有中国独立知识产权的商品化聚合物包膜肥料要求加强理论基础研究,并加快产业化进程。     

居民电子废物回收行为影响因素的实证研究

基于对350名城市居民的问卷调查结果,运用验证性因子分析方法对居民的电子废物回收行为、行为意向及其影响因素进行了实证研究.结果表明,基于计划行为理论所建立的结构方程模型可以较为有效地诠释有关研究假设,环境知识、舆论宣传和垃圾分类等情境因素对电子废物回收行为具有调节作用.知觉行为控制对于行为意向转化为行为具有非常重要地促进作用,而便利状况则是影响知觉行为控制的重要因素.     

Trihalomethanes formation in water treatment plants and distribution lines: a monitoring and modeling scheme

Monitoring and modeling of the concentrations of trihalomethanes (THMs) within four water treatment plants (WTPs) and distribution lines in Fayoum City, Egypt, were studied. Sampling sites for raw and treated waters were determined by global positioning system and the Arc geographic information system software was used for mapping. THMs were monitored using 25 sampling points located at the plant exit and through the distribution lines up to the plant extremity. Results indicated that the THMs concentration varied significantly but it was very rarely higher than the allowed maximum contaminant level of 100 μg L^?1. However, at the dead zones in the distribution lines, the THMs increased by about 160% compared to in-plant level. Furthermore, the level of THMs in hot months was about 1.3 times higher than in cold ones. The influence of some independent variables such as temperature, pH, ammonia concentration, total organic carbon and color were investigated by Pearson model to find their correlation with the rate of THMs formation in WTPs. The resulted R values ranged from 0.81 to 0.98. Successful application of the model to a selected region on the distribution lines has resulted in a correlation coefficient of 0.98.     

全球沙尘气溶胶源汇分布及其变化特征的模拟分析

根据全球沙尘气溶胶气候模式GEM-AQ/EC模拟的1995~2004年的沙尘起沙量和干湿沉降量,分析了沙尘气溶胶源汇的全球时空变化特征.全球沙尘起沙量集中在各个主要沙漠地区,北非对全球沙尘气溶胶贡献最大为66.6%.沙尘气溶胶沉降的高值区分布在沙漠源区及其紧临的下风地区.最大净沙尘气溶胶接收主要分布在沙漠周围地区并形成净接收量大于10t/(km2×a)的位于0°N~60°N之间的北非、欧亚大陆、西太平洋、北印度洋、北美和大西洋的带状分布.在北非、阿拉伯半岛、中亚、东亚和澳大利亚5个主要沙漠地区中,起沙量和沉降量都存在明显的季节变化,除中亚其他4个区域干湿沉降量和起沙的季节变化基本一致;东亚地区沙尘气溶胶起沙量和总沉降量的季节变化最为明显,而北非沙漠起沙量和总沉降量的季节变化最小,其他3个区域的季节变化幅度基本相同.中亚起沙峰值和阿拉伯半岛起沙次峰值出现在夏季,其他区域的峰值均出现在春季.10年间全球陆地年平均起沙量为(1500±94)Mt,保持略微上升趋势.以北非沙漠起沙量年际变化率最低(6.3%), 而以东亚(28.3%)和澳大利亚(45.0%)起沙量年际变化最为明显;全球陆地的沙尘气溶胶沉降量以约9.9Mt/a的速率递减,全球海洋的沙尘气溶胶沉降递增.     

A modeling system for drinking water sources and its application to Jiangdong Reservoir in Xiamen city

Drinking water sources are highly valued by authorities for safeguarding the life of a city. Models are widely applied as important and effective tools in the management of water sources. However, it is difficult to apply models in water source management because water managers are often not equipped with the professional knowledge and operational skills necessary for making use of the models. This paper introduces a drinking water source simulation and prediction system that consists of a watershed model, a hydrological model and a water quality model. This system provides methods and technical guidance for the conventional management of water sources and emergency water event response. In this study, the sub-models of the system were developed based on the data of the Jiangdong Reservoir in Xiamen, and the model validation was based on local monitoring data. The hydrological model and water quality model were integrated by computer programming, and the watershed model was indirectly integrated into the system through a network platform. Furthermore, three applications for Jiangdong Reservoir water protection utilizing the system were introduced in this paper, including a conventional simulation, an emergency simulation, and an emergency measures evaluation.