Geographies of energy transition: the case of high-performing commercial office space in the central business districts of Sydney and Melbourne,Australia

As a signatory to the Paris Climate Agreement, Australia committed to reduce emissions significantly by 2030. In a country highly urbanised and dependent on fossil fuels as its primary energy source, one key avenue for meeting these commitments is energy transition in the built environment. Australia has emerged as a leader in the design and construction of high-performance buildings in the premium commercial office sector. In this paper, we address a significant gap in understanding the diverse mechanisms through which building energy transition is being constituted in this sector, focusing on Sydney and Melbourne. In the absence of substantive publicly available data, we draw on mixed methods comprising a database developed around high-performing CBD office buildings and qualitative interviews with a range of sectoral stakeholders. We characterise the building stock in each city, and document five trends constituting energy transitions. We demonstrate that building energy transitions are not only shaped purposefully by dominant governance regimes but also by opportunistic responses to specific material and commercial conditions and legacies in each city. Thus the urban built environment affords significant opportunity for energy transitions, but pathways towards such transitions are necessarily multiple and ultimately shaped by material as well as institutional geographies.     

基于多源遥感数据的区域生态系统服务价值年际动态监测 ——以中原城市群为例

通过对多源遥感数据在生态系统服务价值（ESV）遥感模型中的尺度效应分析,选择满足最佳空间分辨率和长时间序列的遥感数据,对中原城市群区域2001~2013年的ESV实现了逐年逐像元水平的动态监测。结果表明：该区应用于遥感模型输入数据的最适空间分辨率为30~1 000 m,相对于30 m尺度,其他尺度估算结果的相对偏差均小于0.4%;结合年际动态监测的需求,选择了MODIS数据产品（空间分辨率500 m,时间尺度1 a）作为遥感模型的最佳数据源;研究区ESV总值在研究期内整体上呈显著增长趋势,增速约为8.6亿元/a,但在持续增长过程中经历了3次波动,且表现得越来越剧烈;在空间上,研究区ESV多年均值呈现出明显的不均衡性,表现为从西南向东部递减的趋势。研究表明此方法简单易行,初步实现了区域ESV年际动态监测遥感模型的准业务化运行。     

Simulation of urban expansion via integrating artificial neural network with Markov chain – cellular automata

Accurate simulations and predictions of urban expansion are critical to manage urbanization and explicitly address the spatiotemporal trends and distributions of urban expansion. Cellular Automata integrated Markov Chain (CA-MC) is one of the most frequently used models for this purpose. However, the urban suitability index (USI) map produced from the conventional CA-MC is either affected by human bias or cannot accurately reflect the possible nonlinear relations between driving factors and urban expansion. To overcome these limitations, a machine learning model (Artificial Neural Network, ANN) was integrated with CA-MC instead of the commonly used Analytical Hierarchy Process (AHP) and Logistic Regression (LR) CA-MC models. The ANN was optimized to create the USI map and then integrated with CA-MC to spatially allocate urban expansion cells. The validated results of kappa and fuzzy kappa simulation indicate that ANN-CA-MC outperformed other variously coupled CA-MC modelling approaches. Based on the ANN-CA-MC model, the urban area in South Auckland is predicted to expand to 1340.55 ha in 2026 at the expense of non-urban areas, mostly grassland and open-bare land. Most of the future expansion will take place within the planned new urban growth zone.     

Synergetic efficiency of Lidar and WorldView-2 for 3D urban cartography in Northeast Mexico

Three-dimensional urban cartography is needed for city changes’ assessment. The variety of studies using 3D calculations of urban elements grows each year. Building and vegetation volumes are necessary to assess and understand spatio-temporal urban changeable environments. However, there are technical questions as to which method can improve 3D urban cartographic accuracy. The innovative part of this current study is the creation of a six-band hybrid obtained from LIDAR and WorldView2 synergy. Two different enhancement algorithms demonstrated the most important spectral features for the urban development and vegetation classes. Results indicated an improvement in accuracy by up to 21.3%, according to the Kappa coefficient. Both infra-red band and intensity band were the most significant, according to the principal components analysis. The synergy delimited classes and polygons, as well as the direct display of information regarding heights of elements and improving the extraction of roads, buildings and vegetation classes.     

绍兴镜湖生态旅游开发与保护

以绍兴镜湖国家城市湿地公园为案例,简要分析了镜湖开发与保护中存在的城市发展、原住居民生产生活、生态系统保护与游客利益四者之间的博弈关系,重点对其生态旅游开发与保护模式进行了总结,认为绍兴镜湖生态旅游开发与保护是"B"模式 "国家公园"模式的融合.文章还总结了镜湖生态旅游开发主要从分级保护、旅游项目开发生态性、湿地生境恢复、旅游交通组织、客流量控制及生态农业模式等方面协调开发与保护的关系.提出了今后城市湿地旅游开发与保护的研究方向.     

基于CMIP6强迫模拟分析人为气溶胶的气候效应(一)——介绍NUIST模式评估结果

为减少不同气候模式评估气溶胶气候效应的差异,第六次耦合模式比较计划(Coupled Model Intercomparison Project Phase 6,CMIP6)直接给定了人为气溶胶强迫数据。因此,有必要基于此强迫数据重新评估气溶胶气候效应。本研究首先将CMIP6给出的描述人为气溶胶强迫的模块引入南京信息工程大学(Nanjing University of Information Science and Technology,NUIST)的地球系统模式(The NUIST Earth System Model,NESM)。之后,利用NESM模式评估地球辐射收支平衡对此人为气溶胶强迫的响应,并分析模式模拟结果的不确定性。评估给出的人为气溶胶有效辐射强迫为-0. 45(±0. 28) W·m~(-2)。其中,气溶胶直接辐射效应为-0. 34(±0. 01) W·m~(-2),与第二次气溶胶比较计划(The second phase of Aerosol Comparisons between Observations and M odels,Aero ComⅡ)的评估结果基本一致;气溶胶对云辐射强迫的影响(包括半直接效应和间接效应)为-0. 10(±0. 30) W·m~(-2),明显受到模式内部变率的干扰,具有较大的不确定性。     

中国利用星载激光雷达开展沙尘和污染研究的综述

激光雷达作为一种新兴的主动遥感探测工具,被广泛应用于大气遥感、环境监测等领域。星载激光雷达由于其较广的探测范围、较高的时空分辨率、可获得连续的廓线数据等优势,已经成为全球及区域气溶胶和云特性观测研究的强有力工具。本文总结了自2006年CALIPSO卫星发射以来,中国科学家在利用其开展沙尘气溶胶及污染研究方面的工作,重点阐述了沙尘气溶胶的时空分布、远距离传输、分类识别、光学特性、沙尘释放、辐射与气候效应,以及灰霾和烟尘特性等方面的最新研究成果。对以上研究成果的梳理,有助于深入理解中国在利用星载激光雷达开展沙尘与污染研究的水平,也为未来开拓中国自主研发星载激光雷达的遥感应用领域奠定了基础。     

城市人口分布空间自相关的功率谱分析

从理论上可以证明标准的城市人口密度负指数距离衰减模型本质上是一种空间相关函数,基于这种思想对Clark模型进行Fourier变换,可以导出城市人口密度的幂次频谱分布,且功率谱指数理应为β=2±。负指数与幂指数的这种变换关系暗示了城市地理系统简单与复杂的辩证关系。借助中国杭州市4年的人口普查资料转换的平均人口密度分布数据对上述推论进行检验,发现β渐进式趋近于2但并不约等于2。将β值进一步换算为人口过程的分维D和Hurst指数H,结果表明：城市人口具有长程负相关作用,但这种空间作用显示明确的局域化倾向。目前的城市形态演化模拟几乎无一例外地引入了长程作用,根据杭州人口分布的局域化特征,有关地理长程作用的假设和应用有必要重新探讨。     

On the nonlinear response of lower stratospheric ozone to NOx and ClOx perturbations for different CH4 sources

The impact of sulfate aerosol, ClOx and NOx perturbations for two different magnitudes of CH4 sources on lower stratospheric ozone is studied by using a heterogeneous chemical system that consists of 19 species belonging to 5 chemical families （oxygen, hydrogen, nitrogen, chlorine and carbon）. The results show that the present modeled photochemical system can present several different solutions, for instance, periodic states and multi-equilibrium states appearing in turn under certain parameter domains, through chlorine chemistry and nitrogen chemistry together with sulfate aerosol as well as the increasing magnitude of CH4 sources. The existence of catastrophic transitions could produce a dramatic reduction in the ozone concentration with the increase of external sources.     

城市环境与地质问题研究现状与发展

本文对本次会议的专题城市环境地质问题进行了综述,对城市地质环境研究进行了展望。