基于灰色自记忆模型的城市月需水量预测

建立了以灰色微分方程为动力核的自记忆模型,并首次应用于城市月需水量预测.先将具有季节性特征的实测历史数据通过季节指数法获得相对平滑的序列,再用所建灰色自记忆模型进行模拟、预测.研究表明,灰色自记忆模型建模方法简单且模拟和预测精度较为满意,平均相对误差为5.74％,灰色GM(1,1)模型预测平均相对误差是8.77％,其精...     

基于“点—轴系统”理论的鲁南旅游长廊建构

＂点—轴系统＂理论是区域开发的基础性理论,对于区域旅游开发同样具有重要的理论价值和现实指导意义。基于＂点—轴系统＂理论,在对旅游规划概念上的鲁南经济带进行修正的基础上,结合鲁南经济带旅游资源状况和旅游发展现状,提出重点打造以曲阜、日照、枣庄、临沂、菏泽、东平为核心的6个一级旅游增长点;以日东高速、105国道、206国道为发展轴线的3个一级旅游发展轴;形成圣人文化旅游板块、日照滨海旅游板块、湖滨红色休闲养生旅游板块、蒙山沂水红色逍遥游旅游板块、水浒休闲生态旅游板块六大各具特色的旅游板块。从而＂点-线-面＂共同组成＂双十字＂开发模式的鲁南旅游长廊,以此来最大限度地发挥鲁南地区旅游资源的潜力,实现鲁南旅游的腾飞。     

An SVM-based machine learning method for the separation of alteration zones in Sungun porphyry copper deposit

Sungun porphyry copper deposit is in East Azarbaijan province, NW of Iran. There exist four hypogene alteration types in Sungun: potassic, propylitic, potassic–phyllic, and phyllic. Copper mineralization is essentially associated more with the potassic and less with the phyllic alterations and their separation is, therefore, quite important. This research has tried to separate these two alteration zones in Sungun porphyry copper deposit using the Support Vector Machine (SVM) method based on the fluid inclusion data, and seven variables including homogenization temperatures, salinity, pressure, depth, density and the Cu grade have been measured and calculated for each separate sample. To apply this method, use is made of the radial basis function (RBF) as the kernel function. The best values for λ and C (the most important SVM parameters) that perform well in the training and test data are 0.0001 and 1, respectively. If these values for λ and C are applied, the phyllic and potassic alteration zones in the training and test data will be separated with an accuracy of about 95% and 100%, respectively. This method can help geochemists in separating the alteration zones because classifying and separating samples microscopically is not only very hard, but also quite time and money consuming.     

Amenity migration to the global south: Implications for community development

Despite a growing trend of migration to countries in the global South fueled by their natural amenities (i.e., natural amenity migration), research on this topic has predominantly been conducted in the global North. This is problematic given the notable socioeconomic, attitudinal, and behavioral differences between amenity migrants (often urbanites from developed countries) and local people (often rural residents of developing countries). Grounded in community field theory, this study begins to fill this gap in the literature by increasing our understanding of the ways in which local residents and amenity migrants interact in the amenity-rich community of Nuevo Arenal, Costa Rica. We found that linguistic, cultural, and spatial barriers (real and perceived) created a social climate in which the interaction between local residents and amenity migrants was primarily based on mundane interactions and did not lead to social integration. This proved to be a hindrance to the creation of the community field, which led to a lack of joint planning and participation in activities and projects that sought to improve the overall living conditions in the community. Explanations of these findings and the implications of such a divide are offered.     

Predicted ultimate capacity of laterally loaded piles in clay using support vector machine

The determination of ultimate capacity of laterally loaded pile in clay is a key parameter for designing the laterally loaded pile. The available methods for determination of ultimate resistance of pile in clay are not reliable. This study investigates the potential of a support vector machine (SVM)-based approach to predict the ultimate capacity of laterally loaded pile in clay. The SVM, which is firmly based on statistical learning theory, uses a regression technique by introducing an ?-insensitive loss function. A sensitivity analysis has been carried out to determine the relative importance of the factors affecting ultimate capacity. The results show that SVM has the potential to be a practical tool for prediction of the ultimate capacity of pile in clay.     

HHT法的基本原理及其应用探讨

以Timoshenko单跨梁为研究对象,采用回转射线矩阵法进行动力响应计算,针对Timoshenko梁的瞬态响应信号为非平稳信号,采用基于Hilbert—Huang变换原理的信号时频分析,并与FFT的处理结果进行对比分析。结果表明,HHT方法比Frr法更适合非平稳信号的分析和处理,同时,HHT方法不仅可以将瞬态信号中低频和高频部分分离出来,还可以通过Hilbert谱展示信号能量在时频域内的分布,更为深入的了解信号的本质。     

活动断层的基本理论与常用研究方法

活动断层是目前工程地震和地震地质领域研究的热点之一,它对于地震的预防和预报都具有极为重要的意义。在不同的专家和学者的研究成果的基础上,结合作者近几年来的学习和研究体会,认为活动断层往往是孕震场所,但并非全部,大地震往往只发生在地震空区的位置。总结了活动断层和地震活动的几条经验性规律。     

分形理论在土体粒度成分特征评价中的应用

由于土体粒度成分的复杂性,目前对土的粒度成分分析缺乏合适的定量描述参数,分形理论为该问题提供了新的途径。实例计算表明,分维作为描述土体粒度成分特征的参数,能较好反映了各种粒径大小在土体中的组成特点,可将其作为土体工程分类的一个综合性定量指标。     

改进Moser法射线追踪

地震波场正演模拟、层析成像、偏移成像经常需要用到射线追踪,本文在基于图形理论的Ｍｏｓｅｒ法基础上,改进其网格节点的划分、追踪时路径的选取,并增加直射线追踪以消除在速度变化不大时射线受节点布置影响出现不合理的折曲现象．