基于GEP的桩顶水平位移预测模型研究

桩顶水平位移的变形监测是一项重要内容,针对传统预测方法存在的不足,本文采用基因表达式编程(GEP),利用Eclipse平台下的Java编程语言,建立了桩顶水平位移预测模型。将灰色GM(1,1)模型、BP神经网络模型和基因表达式编程(GEP)这三种模型对桩顶水平位移的预测结果进行对比分析,得出基因表达式编程不仅能够提高桩顶水平位移的预测精度,而且其学习效率比灰色GM(1,1)模型和BP神经网络模型也有显著提高,从而证明基因表达式编程模型在桩顶水平位移预测方面具有可行性。     

Assisted network governance: An inclusive innovation to mitigate extreme water scarcity

We study a local innovation of natural resource governance in Chile in times of extreme water scarcity. Through the issuance of a scarcity decree, the government obliges local water user associations (WUAs) to reach viable water redistribution agreements in order to avoid being overruled by the state. In the Aconcagua River, the government together with the WUAs created the Executive Committee, where only the WUAs have a vote, but private and public stakeholders participate in the process of negotiating water use agreements. Grounded on thematic coding of the detailed minutes of over 80 committee meetings since its inception, we examine the workings of a new local model of Assisted Network Governance (ANG). Based on content and social network analysis of over 1,000 directed interactions among committee members, we find that ANG, as an element of broader hybrid governance, has not only produced viable agreements for immediate water redistribution, but has also facilitated longer-term system improvements by building mutual understanding, resolving conflicts, and mobilizing external resources to improve infrastructure. We conclude that ANG helps accomplish common objectives in the field of natural resources under conditions of extreme water scarcity.     

Urban Sustainability Evaluation Based on Remote Sensing and Network Data Support: Progress and Prospect

The sustainable development of the city is the key to the realization of the global sustainable development goals. Urban sustainability evaluation is a measure to the sustainable development of cities, and basis of sustainable urban development. The current evaluation method is based on statistical data which is low spatial resolution, long period and high cost. In recent years, remote sensing data, network data and the multivariate data have been used for the evaluation for the sustainable development of cities, and there have been many related research cases, which provides a new idea and method to carry out the high resolution evaluation of urban sustainable development rapidly, accurately and cheaply. This article reviewed the remote sensing data and network data in the progress of the application in the evaluation to the sustainable development of cities, and discussed the advantages of remote sensing and network big data in the objectivity, accuracy, and timeliness of evaluation compared with traditional data. Based on the sustainable urban development indicators of the United Nations Sustainable Development Goals (SDG), a basic framework for the evaluation of sustainable development of cities with high temporal and spatial resolution of big data such as remote sensing data and network big data was proposed. The introduction of remote sensing and network big data will change the inherent paradigm of sustainability assessment, make high-resolution real-time evaluation possible, further innovate analytical techniques, improve data accuracy, and make clear the alternative relationship with traditional data being the focus and the only way to realize the replacement of traditional data by remote sensing and network big data.     

临县国税局计算机机房网络系统设备的防雷设计解析

随着计算机和网络通信技术的高速发展,现代机房网络设备对防雷过电压保护的要求越来越高。为较好地维护机房网络设备的安全可靠运行,最大限度地抑制雷电灾害对机房设备的损害,根据现有较成熟的雷电防护技术,分析临县国税局计算机机房雷电灾害的来源,并进行防雷设计。     

通信本地网络资源管理系统设计与开发的分析

该文分析国内通信网络管理的现状,提出了通信本地网络资源管理系统的功能需求,介绍了全组件化GIS软件在通信设备、网络数据库资源管理及各种电子地图集成中的应用,利用GIS技术、多媒体技术、网络技术,实现通信设备、线路、客户、网络规划、故障分析的动态管理、动态检测以及信息的及时发布,为实现通信行业的可视化、智能化综合管理提供科学依据。     

东海外缘碎屑矿物的物源解释——基于BP神经网络的判识分区

对取自长江、黄河三角洲和东海 230个表层沉积物样的重矿物资料进行人工神经网络分析.结果表明,东海外缘(外陆架和冲绳海槽)沉积物具有明显的分区特征,并与不同的物源影响密切相关.外陆架、陆坡和西部槽底的碎屑物主要来自长江;冲绳海槽中轴线以东主要受槽底火山和岛坡物源控制;黄河物源扩散的影响局部可达26°20′N线以北的陆架、陆坡和槽底区.     

全球数字地震台网事件带的文件和数据格式

全球数字地震台网所积累的大量地震波资料已经成为研究地震活动性、震源机制、地壳上地幔结构等最基本的数据源。为了使用全球数字地震台网事件带,必须了解其文件类型和内容以及数据格式。本文介绍了上述有关情况。特别是本文介绍了全球数字地震台网事件带中所包含的新的数据格式,弥补了这方面资料的不足。     

广东清连高速公路岩质边坡岩体结构面特征及其组合研究

采用普遍测网法对广东省清连高速公路岩质边坡结构面进行测量,利用“赤平投影结构数据分析软件包”对参数统计分析,并以二维网络模拟程序进行模拟。研究了结构面特征及其组合关系对边坡稳定性的影响,结果显示结构面组合关系对边坡稳定性影响显著。     

神经网络在水位预报中的研究

根据各站点降水资料,运用高斯权重客观分析原理计算广西区域的面雨量,以上游面雨量值、水位值与西江流域的梧州水位进行相关分析,找出基于水位的主要预报因子;进一步采用人工神经网络与主成分分析(PCA)相结合的方法进行了西江流域梧州水位的预报方法研究。计算结果表明,该预报方法所构造的预报模型对历史样本拟合精度高,试报效果也较好,可在预报业务中应用。     

Inverse modeling for seawater intrusion in coastal aquifers: Insights about parameter sensitivities,variances, correlations and estimation procedures derived from the Henry problem

Inverse modeling studies employing data collected from the classic Henry seawater intrusion problem give insight into several important aspects of inverse modeling of seawater intrusion problems and effective measurement strategies for estimation of parameters for seawater intrusion. Despite the simplicity of the Henry problem, it embodies the behavior of a typical seawater intrusion situation in a single aquifer. Data collected from the numerical problem solution are employed without added noise in order to focus on the aspects of inverse modeling strategies dictated by the physics of variable-density flow and solute transport during seawater intrusion. Covariances of model parameters that can be estimated are strongly dependent on the physics. The insights gained from this type of analysis may be directly applied to field problems in the presence of data errors, using standard inverse modeling approaches to deal with uncertainty in data.