基于Landsat 8遥感数据的天津市地表温度反演

以Landsat 8遥感数据为数据源,进行天津市地表温度反演研究。首先采用单通道算法反演地表温度,并利用均值标准差法进行温度分级。然后建立不同温度等级面积比例的估算模型。再通过随机样点,从不同温度等级和土地覆盖类型2个角度,分别建立并比较不同类样点的地表温度与各指数的拟合模型。结果表明:次高温区域面积比例与人口密度、人均GDP都具有较高的决定系数;地表温度与NDVI、BAEM的二元线性回归决定系数高于地表温度与单一指数的决定系数;将样点分类后,低温点与MNDBI的决定系数高于其他温度等级样点,水域和植被样点与各种指数的决定系数高于其他地物类型样点。     

A Variance Estimator for Constrained Estimates of Change in Relative Categorical Frequencies

Consistent estimators of change and state becomes an issue when sample data come from a mix of permanent and temporary observation units. A joint maximum likelihood estimator of state and change creates estimates of state that depend on antecedent viz. posterior survey results and may differ from estimates of state derived from a single-date analysis of the sample data. A constrained estimator of change in relative categorical frequencies that eliminates this potential inconsistency is proposed and a model based estimator of their sampling variance is developed. The performance of the constrained estimator is quantified against six criteria and a joint maximum likelihood estimator in simulated sampling from 15 populations with three combinations of permanent and temporary samples, four to six categorical class attributes, and constant size between sampling dates. Bias of the constrained estimators was negligible but larger than for joint maximum likelihood estimators. Mean absolute deviations and variances of constrained estimators were generally at par with the joint estimators. Constrained estimators of root mean square errors and achieved coverage of nominal confidence intervals of constrained estimators were occasionally better. A generalized variance function for the constrained estimates of change is provided as a computational shortcut.     

室内有毒易爆气体的检测

随着城市生活水平的提高,室内装修装饰日益普及.各种新材料的引入,使得室内的各种有害气体总量日益增加.长期生活在这样的环境下,会对人体健康产生极为不利的影响.居民生活用煤气,在给人们生活带来便利的同时,作为一种可燃性、有毒气体,也具有极强的危害性.因此,研制一种能检测多种有害气体的实用仪器,具有很大的应用价值.本仪器为便携式多功能仪器,采用可充电电池供电,可以检测ppb的挥发性气体,显示气体浓度值,也可检测煤气,并具有声光报警功能.     

双曲线拟合法预测真空预压土体的沉降量及固结度

土体固结度是评价真空预压法加固土体效果的一个重要技术指标,而确定土体固结度的关键是土体最大沉降量的计算。本文结合工程实例,依据真空预压法施工前期土体沉降量的实测数据,利用双曲线拟合法进行拟合并预测土体最大沉降量及卸荷时的土体固结度,然后与常用的三点法预测结果进行对比,结果表明双曲线拟合法预测结果更加符合工程实际,且能保证工程的安全。     

瓦斯爆炸过程中火焰瞬时传播规律研究

在改善后的瓦斯爆炸试验条件下,为了得到任意位置的火焰传播速度,对火焰通过各传感器所处的位置与其对应时间进行统计分析,发现可以用二次抛物线方程来表达火焰传播距离与其对应时间之间的关系,由此推导火焰瞬时传播速度随管道位置变化的关系式,得到管道任意位置及任意时刻的火焰速度计算公式。研究发现:瓦斯爆炸火焰传播运动过程近似于匀加速直线运动过程;当加螺旋环时火焰传播过程接近于匀速直线运动。随着管道长度的不断增大,火焰瞬时速度不断增加,但增加的幅度越来越小,当管道长度达到某值后,火焰速度将趋于某一定值。煤矿井下可根据各点计算得出的火焰速度大小,采用相应的预防措施,减少瓦斯爆炸造成的损失。     

基于裂区设计的大气能见度拟合及预测模型

通过收集分析广州能见度及影响因子数据的特征,使用R-project统计软件作为建模工具,采用多层裂区实验构建模型基本框架,选择影响显著的因子进行变量变形处理,对年、月、日、小时的数据特征进行层层分割设计,并在对应层次引入代表时间含义的虚拟变量以提高模型的表征水平,加入二次项、交叉项等提高模型的精度,得到拟合度高、适用性强的能见度拟合及预测模型。     

等效温度曲线的数值拟合

通风空调工程中,等效温度是衡量气候舒适程度的主要指标.传统的查图法求解等效温度不仅繁琐,而且不准确.本文以等效温度为基础,在等效温度图中取值,运用Matlab拟合数据,并进行坐标变换,求解出干球温度、湿球温度及风速之间的规律,推导出等效温度的数值求解方法.经实例计算和误差分析证明,此数值解法较为准确.     

电感耦合等离子体发射光谱法测定地下水中锰的不确定度评定

本文对电感耦合等离子体发射光谱法测定地下水中锰含量的不确定度进行了评定,标准曲线采用双误差拟合法,建立了不确定度评定模型,对测定地下水样品中锰含量的不确定度作了评估。     

Uncovering the evolution of tin use in the United States and its implications

• US tin use decreases as the GDP value added by manufacturing sector increases. • Global and China’s tin use increases as the GDP added by manufacturing increases. • A sigmoid curve can fit the US tin use data well. • US tin use patterns is not due to the finite tin reserves or resources. • Policies, substitutions, etc. play key roles in the changing tin use patterns. Tin is of key importance to daily life and national security; it is considered an essential industrial metal. The United States (US) is the world’s largest economy and consumer of natural resources. Therefore, the analysis of historical tin use in the US is helpful for understanding future tin use trends in the world as a whole and in developing countries. Time series analysis, regression analysis with GDP or GDP/capita, and historical data fitted with logistic and Gompertz models are employed in this study. Historical tin use in the US shows three stages—increase-constant-decrease, as GDP per capita has increased. Tin use in the US is negatively correlated with the GDP value added by the manufacturing sector, while the use of tin worldwide and in China continues to increase along with the GDP value added by the manufacturing sector. Although a sigmoid curve can fit the US tin use data well, that use is not directly related to the limited tin reserves or resources. Rather, policies, economic restructuring, substitutions, new end-use markets, etc. have played key roles in the changing tin use patterns. This work contributes to understanding future tin use at both the global and national levels: tin use will continue to increase with GDP at the global level, but use patterns of tin at the national level can be changed through human intervention.     

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.