中国交通运输碳排放强度时空交互特征及跃迁机制

采取多种空间分析的方法,对2002～2020年交通运输业碳排放强度的时空交互特征进行剖析,通过得到的时空跃迁类型与面板分位数模型进行嵌套来探究其跃迁机制,最后根据不同的跃迁机制引入地理探测器模型来考察影响交通运输业碳排放强度的不同因素之间的交互作用效应.结果表明: ①中国30个省区的交通运输业碳排放强度整体呈波动下降态势,在空间上的聚集水平也相对稳定.②ESTDA的时空交互特征表明,西北地区和周边邻接空间单位的关系不稳定,变化和波动较大.而东部沿海城市等经济发达地区已经形成了成熟的交通运输网络,因此局部空间格局也相对稳定,但仍有部分地区存在时空竞争性.③交通运输业碳排放强度时空跃迁可分为4类驱动或制约模式（人口-经济-城镇化制约模式;人口-经济-城镇化-设施制约模式;技术-消费-产业驱动模式和技术-产业-规制驱动模式）.大部分省份受低分位制约和高分位驱动两种模式的影响,仅有少部分省份受高分位制约和低分位驱动的作用影响,且绝大多数属于西北或西南地区.④根据得出的交通运输业碳排放强度跃迁机制进一步引入地理探测器模型,注重多因子的协调发展,加强区域间协同治理.     

微塑料与污染物相互作用的研究进展

微塑料广泛存在于环境中,其比表面积大、吸附性强,可吸附环境中的重金属、有机物、微生物等污染物,并改变它们在环境中的归趋;同时,这些污染物也会影响微塑料的性质及其在环境中的吸附、迁移、降解等行为,进而对生态环境产生潜在风险.开展微塑料与污染物的相互作用研究是进行微塑料环境风险评价的基础.当前相关研究多集中于微塑料的分布及...     

Accounting for the Mesoscale Effects on the Air Pollution in Some Cases of Large Sulfur Pollution in Bulgaria or Northern Greece

The objective of the present work is to demonstrate the influence of the meso-scale dynamic phenomena on the larger scale air pollution characteristics. A limited set of episodes with very large sulphur pollution in Bulgaria or Northern Greece is chosen for the study. A 3D quasi-hydrostatic model of the meso-scale dynamics, based on the Businesque approximation (the formulation of Guthman) is used for the purpose. Some numerical experiments for the Balkan Peninsula are carried out under different background (synoptic) conditions. The simulated flow systems outline the main topography effects, typical for the region, such as slope winds, channelling of the air flows or blocking effects. Numerical simulations of the air pollution transport are also carried out, with and without accounting for the meso-scale deformations of the wind field. The comparison of the air pollution characteristics, obtained in both the cases demonstrates that the underlying surface heterogeneity in some of the synoptic situations may have influence not only on the detailed air pollution field in the region, but also on some larger scale pollution characteristics – the total pollution quantity in the air above the countries, the mean surface concentration, the pollution fluxes trough the country boundaries, dry and wet deposition.     

根系分泌物与根际微生物相互作用研究综述

对几种主要根系分泌物与根际微生物之间的相互作用关系和影响机理的研究进行了综述，同时提出了今后在根系分泌物及根际微生态方面需要深入研究的几个问题。     

武汉城市圈土地利用变化系统仿真模拟与驱动力分析

土地利用变化是全球环境变化与可持续研究的重要内容,驱动力研究是土地利用变化研究中的核心问题。现有土地利用变化驱动力研究多针对单一的城市区域展开,无法解释城市群地区,城市一体化战略指导下城市交互作用对土地利用变化的影响。运用系统动力学(SD)方法,综合考虑经济、人口、城市化、政策等主要人文因素,并将城市交互作用因素引入SD,以武汉城市圈为例,构建土地利用变化系统SD模型,运用1997~2006年的历史数据进行检验,并对武汉城市圈2010~2020年不同情景下的土地利用变化进行模拟。结果表明,建立的SD模型是有效的,两种情景下土地利用变化表现出差异性,说明城市交互作用是除经济、人口城市化等社会经济因素外,土地利用变化的又一重要影响因素。     

滑坡灾害孕育-激发过程中的水-岩相互作用

降雨造成的地下水与斜城岩土体之间的复杂作用--水-岩相互作用不仅是滑城灾害的主要激发因素,它的滑坡孕育过程中也发挥着重要作用.以往的相关研究主要集中在滑城激发有关的突隙水压力效应的滑城临界降雨量、地下水富集斜坡的稳定性评价、水-力耦合及地下水对岩石的软化效应等方面.孕育过程在滑城研究中居于重要的基础性地位.以流-固耦合等理论为基础对岩体进行时效变形预测,对于斜坡研究中居于重要的,但是,由于大多数滑城的孕育都是在近地表的侵蚀性地球化学环境中进行的,与深埋地下空间的开挖问题存在明显区别.作为水-岩相互作用主要类型之一的水-岩化学作用是造成这种差别的主要因素.深入开展滑城灾害孕育过程中的水-岩化学作用研究不仅对斜城维护、加固及滑城预报是重要的，而且可以促进水-力双重耦合、水-热-力及水-热-力-化学多重耦合等复杂理论的发展.     

膨胀土地基中大比例模型桩浸水试验研究

通过对埋设在膨胀土地基中的一试桩的长时间浸水试验观测，模拟了自然降雨气候条件下单桩位移、沿桩身轴力、侧摩阻力分布、地基胀缩及其时间变化等基桩一系列工作性状和桩-土共同作用规律。试验结果显示：桩顶位移呈现出先下沉后回升并最后趋于稳定的3阶段特征；桩身全长受拉，轴力沿桩身分布呈“波峰”形态。基桩的最大轴力位于桩的中下部，轴力峰值历经由小到大的过程；中性点在浸水过程中，其位置有从桩下部上移的现象；桩侧摩阻力与桩端阻力荷载分担比随时间呈现出先减小后增大并渐趋稳定的3阶段特征。研究结果对膨胀土地基中的桩基设计和施工提供了理论依据。     

土-地下结构的非线性动力相互作用——理论及应用

基于土-结构动力相互作用理论，阐述了土-地下结构非线性动力相互作用的基本原理及其建模方法。根据这一方法，对1995年日本阪神地震中震害最为严重的大开地铁车站进行了成灾机理有限元数值模拟分析。分析结果表明：在地震动作用下，车站结构顶板与侧墙的交叉部位，和中柱的顶底端首先发生弯曲破坏而形成塑性铰，使得顶板上覆土的大部分重量传递到由中柱来承担；在由顶板破坏后传来的上覆土重力和地震动在中柱中引起的压应力的共同作用下，中柱发生压曲和弯曲的双重破坏，导致中柱倒塌，进而导致车站顶板塌陷；同时还表明，水平向地震作用仍是造成大开地铁站结构破坏的主要因素。     

Simulation-based fault propagation analysis—Application on hydrogen production plant

Recently production of hydrogen from water through the Cu–Cl thermochemical cycle is developed as a new technology. The main advantages of this technology over existing ones are higher efficiency, lower costs, lower environmental impact and reduced greenhouse gas emissions. Considering these advantages, the usage of this technology in new industries such as nuclear and oil is increasingly developed. Due to hazards involved in hydrogen production, design and implementation of hydrogen plants require provisions for safety, reliability and risk assessment. However, very little research is done from safety point of view. This paper introduces fault semantic network (FSN) as a novel method for fault diagnosis and fault propagation analysis by using evolutionary techniques like genetic programming (GP) and neural networks (NN), to uncover process variables’ interactions. The effectiveness, feasibility and robustness of the proposed method are demonstrated on simulated data obtained from the simulation of hydrogen production process in Aspen HYSYS^®. The proposed method has successfully achieved reasonable detection and prediction of non-linear interaction patterns among process variables.     

Effects of soil-structure interaction on fragility and seismic risk; a case study of power plant containment

Safety-related structures are designed to provide a safe environment for the occupants and equipment during and after earthquakes. This is due to the fact that any damage imposed to the systems might lead to catastrophic consequences. Seismic probabilistic risk assessment (SPRA) is a systematic approach for the quantification of the seismic risk. One of the crucial steps in this assessment is to determine the seismic capacity of the structures by fragility method. After a review of available methodologies, this article analyzes the seismic fragility for a typical power plant containment considering the effects of soil-structure interaction (SSI). The structure and underneath soil profile are analyzed as a unified model by the subtraction method. Two steps are considered for the assessment of seismic response: In the first step, a fixed-base hypothesis framework is implemented to the computational problem. The second step covers computations taking into account the SSI effects. Using the results of seismic response analysis and safety factor method, seismic fragility of the structure is computed and related fragility curves are developed. Finally, by comparing the fragility curves, the effects of SSI are quantified on the overall seismic risk.