沿海城市暴雨-高潮位复合致涝区划研究北大核心CSCD

由于暴雨和高潮位的共同影响,沿海城市更容易遭受内涝灾害。暴雨和高潮位影响区域致灾因子划分是减灾措施布设的重要因素。本文提出了致灾因子区划方法,并进行了区划方法的效果分析。以海口市主城区为例,基于城市暴雨污水及流域雨洪管理建模软件构建一二维耦合城市内涝模型,计算不同组合工况下的淹没水深和淹没范围,将内涝区域划分为降雨影响区、潮汐影响区和共同影响区,并对三个区域进行了减灾措施优化分析。结果表明,潮汐影响区、共同影响区和降雨影响区距海岸线逐渐变远;降雨影响区布设蓄水池的效益要明显优于潮汐影响区,而潮汐影响区布设止回阀的效益要优于降雨影响区。因此,通过内涝区域划分可以更高效地布设防涝措施。     

宁夏城市形象宣传招贴设计应用研究

目的研究以《印象·宁夏》为主题的宁夏城市形象宣传招贴设计。方法分析国内关于城市形象宣传设计的发展现状,以《印象·宁夏》为主题案例分析城市形象招贴的设计方法。结论城市形象宣传招贴的设计应从城市的形象定位、城市文化的提炼、城市形象招贴的创意思路3个方面入手,结合招贴设计的基本原则,将提炼出的信息符号进行视觉化的创意设计实践。     

低影响开发(LID)透水砖铺装系统的研究进展

透水砖铺装系统是现阶段我国海绵城市建设中重要的透水铺装系统技术之一。为了充分认识该领域已有的应用和研究成果,开展更深入的透水铺装系统技术探索和应用研究,对透水砖铺装系统的国内外应用和研究现状进行了分析总结。简述了透水铺装材料的分类和特点,分析了国内外应用情况,分别对混凝土透水砖、陶瓷透水砖、砂基透水砖的国内外研究现状进行了评述。最后指出现阶段研究存在的问题,并提出了建议和展望。     

The Role of Deep Learning in Parking Space Identification andPredictionSystems

In today’s smart city transportation, traffic congestion is a vexing issue, and vehicles seeking parking spaces have been identified as one of the causes leading to approximately 40% of traffic congestion. Identifying parking spaces alone is insufficient because an identified available parking space may have been taken by another vehicle when it arrives, resulting in the driver’s frustration and aggravating traffic jams while searching for another parking space. This explains the need to predict the availability of parking spaces. Recently, deep learning (DL) has been shown to facilitate drivers to find parking spaces efficiently, leading to a promising performance enhancement in parking identification and prediction systems. However, no work reviews DL approaches applied to solve parking identification and prediction problems. Inspired by this gap, the purpose of this work is to investigate, highlight, and report on recent advances in DL approaches applied to predict and identify the availability of parking spaces. A taxonomy of DL-based parking identification and prediction systems is established as a methodology by classifying and categorizing existing literature, and by doing so, the salient and supportive features of different DL techniques for providing parking solutions are presented. Moreover, several open research challenges are outlined. This work identifies that there are various DL architectures, datasets, and performance measures used to address parking identification and prediction problems. Moreover, there are some open-source implementations available that can be used directly either to extend existing works or explore a new domain. This is the first short survey article that focuses on the use of DL-based techniques in parking identification and prediction systems for smart cities. This study concludes that although the deployment of DL in parking identification and prediction systems provides various benefits, the convergence of these two types of systems and DL brings about new issues that must be resolved in the near future.     

Intelligent System Application to Monitor the Smart City Building Lighting

A smart city incorporates infrastructure methods that are environmentally responsible, such as smart communications, smart grids, smart energy, and smart buildings. The city administration has prioritized the use of cutting-edge technology and informatics as the primary strategy for enhancing service quality, with energy resources taking precedence. To achieve optimal energy management in the multidimensional system of a city tribe, it is necessary not only to identify and study the vast majority of energy elements, but also to define their implicit interdependencies. This is because optimal energy management is required to reach this objective. The lighting index is an essential consideration when evaluating the comfort indicators. In order to realize the concept of a smart city, the primary objective of this research is to create a system for managing and monitoring the lighting index. It is possible to identify two distinct phases within the intelligent system. Once data collection concludes, the monitoring system will be activated. In the second step, the operation of the control system is analyzed and its effect on the performance of the numerical model is determined. This evaluation is based on the proposed methodology. The optimized results were deemed satisfactory because they maintained the brightness index value (79%) while consuming less energy. The intelligent implementation system generated satisfactory outcomes, which were observed 1.75 times on average.     

湖北省城镇垃圾处理政策研究

在对垃圾处理现状进行系统的调查研究的基础上,作者提出了湖北省城镇垃圾处理的合理改革与相应措施．     

在城市化进程中漫谈城建与环境问题

本文从介绍“自然回归论”和“城市化威胁论”引述到重视解决好城市化进程中出现的环境问题的重要性及其所涉及的方方面面的问题。     

基于物联网和云计算的智能城市体研究

在智能小区、城市综合体的基础上,从服务集成的角度提出了"智能城市体"的概念。将物联网与云计算结合应用于智能城市公共服务系统,对其应用模式进行了研究,并设计了完整的智能城市体系统架构。为智能城市建设功能集成的、可扩展的、开放统一标准的智能化服务系统提供了解决方案。     

城市公共绿地中的生态设计探析

现代生态环境是我国未来城市住宅乃至公共绿地建设的发展趋势,但是城市、地域的不同,经济发展的不平衡,也使城市住宅建设的生态课题实践呈现出多元化,多层次现象。以下分析是对城市公共绿地中生态设计的初步探讨,关注环境,关注使用者,关注景观的功能和经济性,应该是未来城市环境景观设计的目标。     

城市文化遗产保护与研发的经济学分析

文章分析中国城市文化遗产保护与研发的现状,以及目前中国城市经济发展对土地利用需求与城市历史文化遗产保护之间的矛盾,指出当今城市开发必须在保存与盈利两者关系中寻求平衡,以城市文化遗产的经济学理论,阐述城市文化遗产保护与开发研究的重要性。