考虑桩土效应的天津站交通枢纽地震反应分析

为弄清楚带有地下室大型复杂结构的抗震性能,本文针对天津站交通枢纽工程,分别取结构典型的横向及纵向剖面,应用大型通用有限元分析软件ANSYS,建立了结构-桩-土体系相互作用的有限元模型,采用动力时程分析方法,研究体系在水平地震作用下的弹塑性动力反应规律,分析结构在地震动作用下的位移和内力的分布;并与假定刚性基础周边土简化为弹簧的结构模型的计算结果进行比较,通过两种模型的地震反应的对比分析,得到了一些有益的结论。     

中国交通部门污染物与温室气体协同控制模拟研究

开展交通领域大气污染物与温室气体协同减排研究对于实现能源、环境和气候变化综合管理具有重要意义.文中以我国交通部门污染物与温室气体协同治理为切入点,开展道路、铁路、水运、航空和管道运输等各子部门未来需求预测,并运用长期能源可替代规划系统模型(LEAP),通过构建基准情景、污染减排情景、绿色低碳情景和强化低碳情景,模拟分析...     

Research Progress of Transportation Facilities Construction and Their Impact Assessment in the Qinghai Tibet Plateau

The Qinghai Tibet Plateau (QTP) is an important ecological security barrier region and strategic resource reserve base in China. It is of great significance to explore the construction and impact of its transportation facilities. Through combing the relevant research, we found that: \mathrm{①} With the construction of macro regional policies and major transportation facilities, the relevant research has been growing rapidly since 2000, and the contribution of Chinese Academy of Sciences, transportation universities and research institutions is outstanding; \mathrm{②} The key research of QTP's transportation facilities construction includes the constraints and countermeasures of permafrost melting, sandstorm, erosion and geological disasters, the development process of modern comprehensive transportation system and its spatial characteristics, and the evolution of multi-scale regional traffic connection and accessibility; \mathrm{③} The regional impact assessment of traffic facilities mainly focuses on ecological environment and social economy. The former results are mainly negative effects such as disturbing ecosystem, cutting landscape pattern, destroying vegetation cover and disturbing the normal living habits of wild animals, while the latter ones are mainly positive effects like promoting macro regional development, changing the spatial structure of regional development, and driving the development of tourism and other related industries. In general, the positive and negative effects of multi-dimensional and multi-scale show the characteristics of differentiation and multiple feedbacks. With the implementation of the Second Comprehensive Scientific Investigation on the QTP and the construction of Third Pole National Park Group, Sichuan-Tibet Railway and Qinghai-Tibet Expressway, we should further focus on the breakthroughs in key relevant technologies, the balance of transportation system with national strategies and regional functions, the combination of travel perception and comprehensive traffic accessibility, combing the comprehensive impact mechanism from the perspective of coupling and the construction of analysis framework that is in line with regional reality, etc.     

Spatial evolution and determinants of new infrastructure development in China北大核心CSCD

New infrastructure has become an important support for China's economic transformation and high-quality development in the new era. In order to investigate the temporal and spatial evolution of China's new infrastructure development and its driving factors, this study first constructed a comprehensive evaluation index of the development level of new infrastructure based on the provincial panel data from 2013 to 2020. Then, it used the technique for order of preference by similarity to ideal solution (TOPSIS) entropy method and spatial econometric model to measure the development level of new infrastructure and analyze its driving factors. The results show that: 1) The development level of China's new infrastructure has increased year by year, and there is a trend of balanced development among provinces. 2) There is great spatial heterogeneity in the development level of China's new infrastructure. The new infrastructure development level is much higher in the eastern region than the central, western, and northeastern regions. The overall temporal and spatial evolution pattern showed an east-west expansion trend, and the center of gravity continued to move to the southwest. 3) The development level of new infrastructure is affected by many factors, among which the economic development level, financial development level, innovation foundation, urbanization process, and population size are the key driving factors. By examining the evolution of the spatial pattern of China's new infrastructure development level and its influencing factors, this article may provide a decision-making reference for its optimal layout and development. © 2023, Editorial office of PROGRESS IN GEOGRAPHY. All rights reserved.     

Multi-hazard susceptibility mapping based on Convolutional Neural Networks

Multi-hazard susceptibility prediction is an important component of disasters risk management plan. An effective multi-hazard risk mitigation strategy includes assessing individual hazards as well as their interactions. However, with the rapid development of artificial intelligence technology, multi-hazard susceptibility prediction techniques based on machine learning has encountered a huge bottleneck. In order to effectively solve this problem, this study proposes a multi-hazard susceptibility mapping framework using the classical deep learning algorithm of Convolutional Neural Networks (CNN). First, we use historical flash flood, debris flow and landslide locations based on Google Earth images, extensive field surveys, topography, hydrology, and environmental data sets to train and validate the proposed CNN method. Next, the proposed CNN method is assessed in comparison to conventional logistic regression and k-nearest neighbor methods using several objective criteria, i.e., coefficient of determination, overall accuracy, mean absolute error and the root mean square error. Experimental results show that the CNN method outperforms the conventional machine learning algorithms in predicting probability of flash floods, debris flows and landslides. Finally, the susceptibility maps of the three hazards based on CNN are combined to create a multi-hazard susceptibility map. It can be observed from the map that 62.43% of the study area are prone to hazards, while 37.57% of the study area are harmless. In hazard-prone areas, 16.14%, 4.94% and 30.66% of the study area are susceptible to flash floods, debris flows and landslides, respectively. In terms of concurrent hazards, 0.28%, 7.11% and 3.13% of the study area are susceptible to the joint occurrence of flash floods and debris flow, debris flow and landslides, and flash floods and landslides, respectively, whereas, 0.18% of the study area is subject to all the three hazards. The results of this study can benefit engineers, disaster managers and local government officials involved in sustainable land management and disaster risk mitigation.