Rural Poverty Patterns and Influencing Factors in Yunnan Province,China: Based on County Level Dataset

The identification of poverty at the county level is the precondition for poverty alleviation by formulating accurate strategies that are targeted for a certain area. Yunnan Province has the largest number of poverty counties in China. The vast number of people living under the poverty-line, and the deep degree of poverty across a wide distribution range, pose major challenges. Based on the rural poverty incidence data, this paper describes the rural poverty patterns in Yunnan Province in 2010 and 2015, and then it explores the main factors which influence the incidence and changes in rural poverty at the county level in Yunnan Province using a stepwise regression analysis method. This study found that the rural poverty in counties of Yunnan Province was deeply affected by natural conditions and the geographical environment. In 2010 and 2015, the rural poverty situation in the middle region of Yunnan Province was relatively light, while it was more serious in the northwest, northeast and south regions. The pattern of county poverty is in good agreement with the topography and landforms of Yunnan Province and the poverty-stricken areas. There are strong correlations between the incidence of rural poverty in Yunnan Province with both the annual per capita net income of rural residents and the degree of agricultural mechanization. These factors are related to the living standards and agricultural production necessary for the peasantry to sustain their livelihood. The change in the incidence of rural poverty at the county level in Yunnan Province from 2010 to 2015 is significantly correlated with changes in the value-added of the primary industries and the degree of agricultural mechanization. These correlations indicate that the development of primary industry plays a key role in the process of lifting rural residents in Yunnan Province out of poverty so they can achieve prosperity. Therefore, improving the annual per capita net income of rural residents and the degree of agricultural mechanization for rural areas in Yunnan Province are still the main points for focused efforts. In the current phase of poverty alleviation, Yunnan Province should emphasize increasing rural residents' income and agricultural production and management in order to formulate effective policies and measures for poverty alleviation.     

海底底质分类反向散射强度三维概率密度法

反向散射强度随入射角变化信息蕴含海底底质特性,是多波束海底底质分类的重要数据源。目前,多波束海底底质分类主要提取平均反向散射强度随入射角的变化信息或基于声呐图像,没有综合考虑两者的相关信息。本文综合考虑平均反向散射强度随入射角变化信息及其概率密度分布,绘制三维概率密度图,提出了基于反向散射强度三维概率密度图的海底底质分类方法。实例计算结果表明:该方法能直观表达多波束条带覆盖区内不同海底底质类型的数量,有效判断不同海底底质类型的边界,实现海底底质类型的快速识别。     

使用多指数模型的 SAR 海冰图像偏差场校正

提出了一种使用多指数模型的SAR 海冰图像入射角偏差场校正的新算法, 该算法先对SAR 图像进行方 位向取平均, 然后用多指数模型对一维校正场建模, 应用熵值最小化方法求取最优的一维校正场, 再用推出的二维 校正场对原始图像进行校正。实验结果表明, 该算法对于SAR 海冰图像的入射角偏差场校正是有效的。与Karvonen 的算法相比, 该算法有更好的校正效果, 且不需要提供像素的入射角信息。     

晋城市粮食产量预测方法比较研究

提高粮食产量预测精度是科学编制土地利用总体规划的重要课题。该文首先运用灰色关联分析方法对影响粮食产量的因素做出关联因子排序,分析表明粮食单产对粮食总产量的影响最大,粮食作物播种面积次之。其次在灰色关联分析的基础上选取主要影响因子,通过比较线性回归模型、灰色GM(1,1)模型和灰色多元线性回归组合模型的预测结果,得到灰色多元线性回归组合模型预测结果最佳。     

基于元模式的空间关联规则挖掘方法

空间关联规则可以从空间数据库中发现空间对象之间的隐含的、不明确的空间关系。空间数据库中空间关联规则挖掘研究是空间数据挖掘和知识发现(SDMKD)的主要内容,其主要问题是多层,多关系的规则发现问题。本文把元模式与空间关联规则挖掘相结合介绍了挖掘地理信息系统(GIS)中空间数据库关联规则的常用步骤方法。     

斜入射平面SH波在层状半空间中沉积谷地周围的三维散射

The indirect boundary element method （IBEM） is used to study three-dimensional scattering of obliquely incident plane SH waves by an alluvial valley embedded in a layered half-space. The free-field response of the layered half-space is calculated by the direct stiffness method, and dynamic Green＇s functions of moving distributed loads acting on inclined lines in a layered half-space are calculated to simulate the scattering wave field. The presented method yields very accurate results since the three-dimensional dynamic stiffness matrix is exact and the moving distributed loads can act directly on the valley boundary without singularity. Numerical results and analyses are performed for amplification of obliquely incident plane SH waves around an alluvial valley in a uniform half-space and in single layer over half-space. The results show that the three-dimensional responses are distinctly different from the two-dimensional responses, and the displacement amplitudes around alluvial valleys in a uniform haft-space are obviously different from those in a layered half-space.     

一种新的疾病发病人数预测模型研究

以体感温度为自变量,将一元线性回归、自然正交函数和逐步回归结合起来,分别建立了炎热和凉爽季节下南京幼年感冒和金华老年脑血管病的旬发病人数预测模型。并将模型的预测结果与逐步回归模型进行了比较。比较得出:模型的预测效果比逐步回归模型的好。     

Direct measurement of crustalP-velocities in the norsar area

Using simulated data, it is demonstrated that one may estimate the body wave velocity in the crust by measuring the angle of incidence ofP-waves provided only the very first part of the signal is used. This angle has been measured for a set ofP-waves at the NORSAR long period instrument sites. Combining these observations with measurements of apparent velocities, we find that the data indicates a crust velocity of 6.1±0.4 km/sec. While it is somewhat uncertain to what depth the value is representative, the observations are in obvious disagreement with previous authors who concluded that long periodP-waves were not affected by the earth's crust. Because of difficulties in separating the effects of real velocity variations from measurement errors, the details of the observedP-wave variation across the array are difficult to interpret. The consistent behavior of the data does, however, indicate that variations of approximately 3% must exist in the crustalP-wave velocity across the array.     

地震心理预测的模糊数学模型

本文应用二级模糊综合评判方法,建立了地震心理预测的数学模型,并应用灰关联分析和概率论确定模型中的参数。既考虑了心理反应过程的模糊性,又考虑了它的随机性,使这个模型不仅比较合理,而且非常灵活、简便和实用。     

基于[-1，1]线性变换算子的多指标灰色关联决策模型在工程项目评标中的应用

建立了多指标灰色关联度工程项目评标决策模型。实际算例计算结果表明,该模型物理意义明确,与评标思维过程一致,比灰色关联投影法具有更高的分辩程度,有利于实际评标的操作。