Multiscale effects and drivers of landscape heterogeneity for water-related ecosystem services in urban agglomerations

Understanding the multiscale impacts and drivers of urban agglomeration landscape patterns for ecosystem services (ESs), especially water-related ecosystem services (WESs), is essential for the development of regional ecological management. However, the multiscale impacts and driving mechanisms of urban agglomeration landscape patterns for ESs have not been adequately explained. In this study, multivariate data were employed, and the InVEST model, trend test method, coupled GeoDetector and geographically and temporally weighted regression (GTWR) method were utilized to comprehensively explore the spatial and temporal changes in landscape patterns and WESs in the Pearl River Delta urban agglomeration (PRDUA) at various grid and administrative scales from 1990 to 2020 and to determine the driving mechanisms affecting WESs. The results indicated that the variation characteristics of landscape patterns and WESs in the PRDUA were consistent, forming a binary spatial structure of core and peripheral areas in an inverted “U” shape around the estuary of the Pearl River. The relationship between landscape patterns and WESs weakened with the increase of scale, and the correlation coefficient decreased by approximately 0.10 from 5 km to 10 km grid scale. Additionally, precipitation (PRE) was the main factor controlling WESs changes in the PRDUA, explaining more than 50% of the changes in WESs, and the regression coefficients ranged from 0.0825 to 0.1584. Changes in WESs were the result of the combined effects of natural factors, including PRE, landscape pattern, elevation, slope, and socioeconomic factors, such as population and gross domestic product (GDP). Overall, these findings could contribute to optimizing regional landscape patterns and fostering sustainable development of the ecological environment in urban agglomerations.     

城市群地震

城市群是我国经济快速发展的产物,已有的震例表明其震害比单个城市的震害更为复杂、严重,对社会的影响更为巨大。分析了城市群的地震灾害特点、我国已有城市群的地震活动性以及相应的防震减灾对策。     

Modeling urban metabolism of Beijing city,China: with a coupled system dynamics: emergy model

Chinese cities are plagued by the rise in resource and energy input and output over the last decade. At the same time, the scale and pace of economic development sweeping across Chinese cities have revived the debate about urban metabolisms, which could be simply seen as the ratio of output to resource and energy input in urban systems. In this study, an emergy (meaning the equivalent solar energy) accounting, sustainable indices of urban metabolisms, and an urban metabolic system dynamics model, are developed in support of the research task on Chinese cities ‘metabolisms and their related policies. The dynamic simulation model used in the paper is capable of synthesizing component-level knowledge into system behavior simulation at an integrated level, which is directly useful for simulating and evaluating a variety of decision actions and their dynamic consequences. For the study case, interactions among a number of Beijing’s urban emergy components within a time frame of 20 years (from 2010 to 2030) are examined dynamically. Six alternative policy scenarios are implemented into the system simulation. Our results indicate that Beijing’s current model of urban metabolism—tertiary industry oriented development mode—would deliver prosperity to the city. However, the analysis also shows that this mode of urban metabolism would weaken urban self-support capacity due primarily to the large share of imported and exported emergy in the urban metabolic system. The keys of improving the efficiency of urban metabolism include the priority on the renewable resource and energy, increase in environmental investment and encouragement on innovative technologies of resource and energy utilization, et al.     

Research and application on the technology system of multiscale assessment of the impact on the atmospheric environment by urban planning

Improvement of the atmospheric environment in urban planning is an important issue to implement the sustainable development of cities. In this paper, in order to meet the demand of planning office to compare and assess quantitatively of the designs in multi-scale, based on geographical information system (GIS) data with high resolution, a multi-scale numerical modeling system for the atmospheric environment impact of urban planning is set up, and the multi-scale assessment index system is established, which compose the technology system of multi-scale assessment of the impact on the atmospheric environment by urban planning. In urban planning (urban development of Beijing) and optimizing layouts of Olympic Green, it has been applied to quantitatively evaluating the impact on atmospheric environment by urban planning before construction, which offers scientific foundation to optimize the whole and local urban layout.     

Seismicity parameters for important urban agglomerations in India

India’s urban population has increased in the recent times. An earthquake near an urban agglomeration has the potential to cause severe damage. In this article, seismicity parameters for region surrounding important urban agglomerations in India are estimated. A comprehensive earthquake catalogue for the region (6°E–42°E latitude and 60°N–100°N longitude) including historic and pre-historic events has been compiled from various sources. To estimate the parameters, past earthquake data in a control region of radius 300 km has been assembled to quantify the seismicity around each urban agglomeration. The collected earthquake data is first evaluated for its completeness. From combined (historical and instrumental) data, the seismicity parameters b-value, seismic activity rate, λ and maximum expected magnitude (m _max ) have been obtained from the methodology proposed by Kijko and Graham (1998). The obtained activity rates indicate that region surrounding Guwahati urban agglomeration is the most seismically active region followed by Srinagar, Patna, Amritsar and Chandigarh.     

城市群地震灾害风险评估方法的一点探索

基于粤港澳大湾区地震灾害风险评估的初步成果,分析了湾区城市群地震环境、承灾体分布和场地特点,提出了两种确定地震输入的设定地震原则,即潜在震源区设定地震原则和最大风险设定地震原则,按照这两种原则可以更加准确地进行城市群地震灾害风险评估。在前人工作的基础上,提出了考虑场地条件影响的地震灾害风险表达式,探索了适合三维模拟非一致激励地震动输入的建筑物和生命线工程灾害风险评估方法,提出了建筑物和生命线工程灾害风险评估中考虑场地影响的思路,为客观地评估城市群地震灾害和损失风险提出了可参考的建议。      

北京城市化进程对城市热岛的影响研究

利用1971～2000年北京20个气象观测站逐日４个时次（02:00、08:00、14:00、20:00）的温度资料,选取具有代表性的城区和郊区多个站点的平均值对北京城市化进程对城市热岛效应的影响、城市热岛强度的日变化和长期变化进行了研究.分析结果指出：（1）北京城市热岛强度和总人口对数呈线性相关关系,其长期变化相关系数为076;（2）北京城市建成区的范围与城市热岛影响范围呈同步变化趋势;(3)不同时次城市热岛强度的长期变化指出,北京城市热岛强度以平均每10年022℃的速率加剧,其中1999年北京热岛强度达113℃（夜间,02:00）;(4)夜间热岛强度明显大于日间.就10年平均而言, 20世纪80年代和90年代夜戒热岛强度均超过05℃;(5)一天4个时次热岛强度的季节变化趋势基本一致,均表现为冬季强、夏季弱.并且,夜间02:00时热岛最强,中午14:00时热岛最弱.     

我国城市湖泊空间分布格局特征分析及影响因素探讨

城市湖泊作为城市与自然之间进行水气交换的蓝色空间,具有供水、防洪、休闲、气候调节以及改善城市生态环境等诸多生态服务功能。中国地域辽阔、城市众多,不同区域的城市湖泊受自然地理环境和社会经济发展等因素的影响而具有显著的空间差异特征。目前已有研究对我国省会城市和个别大型城市的湖泊空间分布及变化特征等开展研究,但全国范围内各行政等级单元内城市湖泊分布的空间格局及其影响因素仍缺乏综合分析。本研究基于中国城市湖泊数据集,从城市分布的地域单元、行政等级、城市规模3个方面对城市湖泊分布特征进行统计分析和比较,并结合自然和人类活动要素,初步探讨影响城市湖泊分布规模和丰度的主控因子。结果表明,2020年全国共有约11万个面积大于0.001km²城市湖泊(不包括太湖、滇池等大型湖泊),总面积约2112 km²,约占全国城市(遥感城市不透水层区域)面积的1.1%。城市湖泊的分布具有显著的集聚和分异特征,数量超过70%的城市湖泊分布在约20%的县(区)级行政单元,约21%的县(区)级行政单元基本没有(<10 m遥感影像分辨率下10个像元)城市湖泊分布。城市湖泊数...     

A method characterizing urban expansion based on land cover map at 30 m resolution

Based on the global land cover data at 30 m resolution (GlobeLand30) in the year 2000 and 2010, the urban expansion process of 320 cities in China was analyzed using lognormal regression, and the expansion model were established. Three metrics were presented for the models, including the peak position, the full width at half maximum, and the skewness. It was found that the three metrics could reveal different patterns of the urban expansion process of cities with different sizes. Specifically, cities with larger size tend to expand outward strongly, and their expansion intensity and influence are likely to be higher. Moreover, most cities’ expansion occurs around the urban core with spatially limited influence. In addition, it was also found that the city’s expansion intensity is related to the city size. These results showed that the lognormal regression model could describe the distribution of urban expansion with effectiveness and robustness.     

长江中游城市群水资源承载力时空格局及耦合协调性

长江中游城市群是实施生态优先绿色发展战略的重点区域,从水资源承载系统内的水资源、社会、经济、生态环境4个子系统中选取24项指标构建水资源承载力评价体系,综合运用改进熵权TOPSIS模型、空间自相关分析和耦合协调发展模型定量评价2012-2018年长江中游城市群水资源承载力时空变化过程及子系统间的耦合协调性.结果表明,（1）长江中游城市群整体水资源承载力水平表现为：缓慢上升（2012-2015年）、下降（2015-2017年）、再上升的趋势（2017-2018年）;（2）水资源承载力的空间差异不明显（仅2016年差异显著）,武汉城市圈水资源承载力的空间差异相对较大且呈现低值包围高值的空间分布特征;（3）各城市生态环境子系统承载力得分较为均衡,但其他子系统的承载力均差异较大;（4）影响水资源承载力的主要因素依次为城市污水处理厂日处理能力、人均GDP、城镇化率、第三产业比重和人均水资源量;（5）长江中游城市群水资源承载系统的耦合协调度总体处于中等水平,且水资源承载力与耦合协调度有极强的正相关关系.研究结果可为长江中游城市群水资源承载力改善及水资源优化配置提供依据.     

Big data and the future of urban ecology: From the concept to results

Urban ecology is experiencing the third paradigm shift. To understand the interactions between the social system and the natural system in the city across time and space, and to provide theories and solutions to sustainable urban development are essential tasks for urban ecology in the next decade. Big data can play a crucial role in future urban ecology studies due to the interdisciplinary nature of urban ecology, the fact that cities are factories of big data, and the new insights gained by using big data in studies. Nevertheless, to translate big data from a concept to research results that can guide planning, policymaking, and management of cities, we need to overcome multiple challenges existing in the theoretical framework, data acquisition, and analytic methods. Urban ecologists should enhance the collaboration with the data scientists to increase the application of big data in studies of urban biodiversity, urban ecosystem services and human wellbeing, and processes of urban ecosystems.     

韧性城市的研究进展和韧性城乡建设的建议

城市的安全稳定、美丽宜居和可持续发展是人类对城市发展的美好追求。韧性城市理念的孕育和产生是城市在漫长发展的历史中,逐步产生和形成的城市公共安全治理的重要途径和全新理念,对城市的建设和发展至关重要,近年来受到科技界的广泛关注。本文系统地梳理了当前有关韧性城市的研究成果;追溯了韧性城市理念的起源;全面地总结了不同学者和有关国际组织关于韧性城市定义和内涵的研究成果,给出了韧性城市新的定义;总结并归纳了韧性城市的主要特征、评价指标及方法;评述了韧性城市研究领域的最新研究进展;提出了我国开展韧性城乡建设的建议。本文的工作对从事韧性城市研究的科技工作者具有参考价值,对推动韧性城市建设及理论研究有重要意义。     

基于Android移动终端的北京市本地化地震应急工作平台实现与应用

利用京津冀基础地理数据、本地化地震灾害快速评估模型、本地化辅助决策模版和离线快速评估与应急制图等技术,实现了支持Web页面与移动端的北京市本地化地震应急工作平台。面向远程应急和移动办公需求,实现了基于Android移动终端的地震快速触发、灾害快速评估、辅助决策、信息自动推送、应急指挥调度、日常运维管理和综合信息查询等功能,在地震应急响应中,打破场所和时间限制,第一时间产出快速评估报告、辅助决策报告和应急专题图件,为北京市地震应急指挥决策提供科学高效的信息服务。平台自运行以来在多次地震应急处置中发挥了重要应用实效。     

中国城市灾害的综合研究及新构思

城市是一个国家和地区的经济、政治、文化中心,是一个综合了社会、心理、地理、工程、功能、生态等学科在内的复杂系统工程,是人双重属性(自然与社会)的一个载体.面对现状及21世纪我国城市建设的挑战,本文认为不仅应研究优美的景观、平衡的生态、高效的功能及无障碍特性,还必须提高一个现代化城市抗御灾害的综合能力。“国际减灾十年”全球统一行动应同环境治理一样,成为衡量城市现代化的标志。     

珠江三角洲城市群震害损失预测初步研究

城市群是经济快速发展的产物。已有的震例表明城市群震害比单个城市的震害更为复杂、严重,对社会的影响更为巨大。阐述了珠江三角洲城市群的发展现状及其地震活动性,分析了城市群的地震灾害特点．并利用现有的震害评估模型及基础数据对珠江三角洲城市群进行震害损失模拟．结果证明城市群震害损失较非城市群更严重．并提出了防御城市群地震灾害的措施、     

A systems dynamic model of a coal-based city with multiple adaptive scenarios: A case study of Ordos,China

Cities based on coal resources have increasingly important social and economic roles in China. Their strategies for sustainable development, however, urgently need to be improved, which represents a huge challenge. Most observers believe that the continued progress of these cities relies on the optimization of scientific adaptive management in which social, economic, and ecological factors are incorporated. A systems perspective that combines policies, management priorities, and long-term policy impacts needs to be applied. To date, however, such an approach has not been adopted, which means it is difficult to implement adaptive management at the regional scale. In this study, we used various situations to develop a multiple adaptive scenario system dynamics model. We then simulated a range of policy scenarios, with Ordos in the Inner Mongolia Autonomous Region as a case study. Simulation results showed that the current strategy is not sustainable and predicted that the system would exceed the environmental capacity, with risks of resource exhaustion and urban decline in 2025–2035. Five critical policy variables, including the urban population carrying capacity, rates of water consumption and water recycling, and expansion of urban land cover, were identified during sensitivity analysis. We developed and compared six socio-economic scenarios. The urban area, represented by the urban population density, seemed to transition through five different stages, namely natural growth, rapid growth, stable oscillation, fading, and rebalancing. Our scenarios suggested that different policies had different roles through each stage. The water use efficiency management policy had a comprehensive far-reaching influence on the system behavior; land urbanization management functions dominated at the start, and population capacity management was a major control in the mid-term. Our results showed that the water recycling policy and the urban population carrying capacity were extremely important, and both should be reinforced and evaluated by the local governments.     

Influencing domain of peripheral sources in the urban heavy pollution process of Beijing

Multiple cities in a diveloped economic area may consist of a city cluster,and the difusion and mixing of its pollutants result in the effect of pollutants plume between cities and the large-scale regional pollution diffusion phenomenon.The distant transfer and diffusion of pollutants occurs when massive aerosols are affected by the dynamic porcess of large-scale circulations.Research suggesten that the life span of aerosol particles whose diameters are about 1 um is the longest.The longevity …     

Storm runoff response to rainfall pattern,magnitude and urbanization in a developing urban catchment

This study explored the hydrological impacts of urbanization, rainfall pattern and magnitude in a developing catchment. The Stormwater Management Model was parameterized, calibrated and validated in three development phases, which had the same catchment area (12.3 ha) but different land use intensities. The model calibration and validation by using sub‐hourly hydro‐meteorological data demonstrated a good performance of the model in predicting stormwater runoff in the different development phases. Based on the results, a threshold between minor and major rainfall events was identified and conservatively determined to be about 17.5 mm in depth. Direct runoff for minor storm events has a linear relationship with rainfall; however, events with a rainfall depth greater than the threshold yield a rainfall–runoff regression line with a clearly steeper slope. The difference in urban runoff generation between minor and major rainfall events diminishes with the increase of imperviousness. Urbanization leads to an increase in the production of stormwater runoff, but during infrequent major storms, the runoff contribution from pervious surfaces reduces the runoff changes owing to urbanization. Rainfall pattern exerts an important effect on urban runoff, which is reflected in pervious runoff. With the same magnitude, prolonged rainfall events with unvarying low intensity yield the smallest peak flow and the smallest total runoff, yet rainfall events with high peak intensity produce the largest runoff volume. These results demonstrate the different roles of impervious and pervious surfaces in runoff generation, and how runoff responds to rainstorms in urban catchments depends on hyetograph and event magnitude. Furthermore, the study provides a scientific basis of the design guideline sustainable urban drainage systems, which are still arbitrary in many countries. Copyright © 2015 John Wiley & Sons, Ltd.     

Multi-city sustainable regional urban growth simulation—MSRUGS: a case study along the mid-section of Silk Road of China

Urban growth along the middle section of the ancient silk-road of China (so called West Yellow River Corridor—He-Xi Corridor) has taken a unique path deviating from what is commonly seen in the coastal China. Urban growth here has been driven by historical heritage, transportation connection between East and West China, and mineral exploitation. However, it has been constrained by water shortage and harsh natural environment because this region is located in arid and semi-arid climate zones. This paper attempts to construct a multi-city agent-based model to explore possible trajectories of regional urban growth along the entire He-Xi Corridor under a severe environment risk, over urban growth under an extreme threat of water shortage. In contrast with current ABM approaches, our model will simulate urban growth in a large administrative region consisting of a system of cities. It simultaneously considers the spatial variations of these cities in terms of population size, development history, water resource endowment and sustainable development potential. It also explores potential impacts of exogenous inter-city interactions on future urban growth on the basis of urban gravity model. The algorithmic foundations of three types of agents, developers, conservationists and regional-planners, are discussed. Simulations with regard to three different development scenarios are presented and analyzed.     

Understanding the dynamical-microphysical-electrical processes associated with severe thunderstorms over the Beijing metropolitan region

The Dynamical-microphysical-electrical Processes in Severe Thunderstorms and Lightning Hazards(STORM973)project conducted coordinated comprehensive field observations of thunderstorms in the Beijing metropolitan region(BMR)during the warm season from 2014 to 2018.The aim of the project was to understand how dynamical,microphysical and electrical processes interact in severe thunderstorms in the BMR,and how to assimilate lightning data in numerical weather prediction models to improve severe thunderstorm forecasts.The platforms used in the field campaign included the Beijing Lightning Network(BLNET,consisting of 16 stations),2 X-band dual linear polarimetric Doppler radars,and 4 laser raindrop spectrometers.The collaboration also made use of the China Meteorological Administration’s mesoscale meteorological observation network in the Beijing-Tianjin-Hebei region.Although diverse thunderstorm types were documented,it was found that squall lines and multicell storms were the two major categories of severe thunderstorms with frequent lightning activity and extreme rainfall or unexpected local short-duration heavy rainfall resulting in inundations in the central urban area,influenced by the terrain and environmental conditions.The flash density maximums were found in eastern Changping District,central and eastern Shunyi District,and the central urban area of Beijing,suggesting that the urban heat island effect has a crucial role in the intensification of thunderstorms over Beijing.In addition,the flash rate associated with super thunderstorms can reach hundreds of flashes per minute in the central city regions.The super(5%of the total),strong(35%),and weak(60%)thunderstorms contributed about 37%,56%,and 7%to the total flashes in the BMR,respectively.Owing to the close connection between lightning activity and the thermodynamic and microphysical characteristics of the thunderstorms,the lightning flash rate can be used as an indicator of severe weather events,such as hail and short-duration heavy rainfall.Lightning data can also be assimilated into numerical weather prediction models to help improve the forecasting of severe convection and precipitation at the cloud-resolved scale,through adjusting or correcting the thermodynamic and microphysical parameters of the model.