结合“珞珈一号”夜间灯光与城市功能分区的广州市碳排放空间分布模拟及其影响因素分析

合理模拟城市内部的碳排放空间分布情况,是制定清晰明确的碳减排政策的重要前提。由于以往相关研究所用数据分辨率较低,且未考虑行业差异,因此所得结果较难精细地反映碳排放空间分布特征。为解决以上不足,本文提出一种更为合理的碳排放空间分布模拟方法。首先利用时间序列法预测2019年广州市各行业碳排放量;然后结合“珞珈一号”夜间灯光及城市功能分区数据,在精细尺度下实现分行业的碳排放空间化;在此基础上进行空间自相关分析,揭示广州市碳排放空间分布规律;最后采用随机森林模型分析影响广州市分行业碳排放的社会经济驱动因素。结果表明：① 广州市碳排放量在2011年后呈缓慢增长趋势,2019年碳排放量达83.12百万吨,其主要贡献来源为交通行业;② 与常用的ODIAC（1 km）、EDGAR（10 km）碳排放产品及基于NPP-VIIRS的碳排放空间化结果（500 m）相比,结合高分辨率（130 m）夜间灯光数据以及城市功能分区实现的碳排放空间化结果可以在更精细的尺度上呈现区域内部的空间碳排放差异;③ 广州市碳排放呈显著的全局空间正相关,形成了以第二和第三产业集中区域为依托的高高聚集区;④ 广州市2019年第二产业碳排放的主要影响因素是一般公共预算收入、第二产业GDP、一般公共预算支出、固定资产投资额;第三产业碳排放的主要影响因素是社会消费品零售额、第三产业GDP、各个行政区总GDP以及人口数量。综上,本研究从城市内部行业结构差异出发,结合高分辨率的夜间灯光数据,展现区域内部的碳排放分布格局,所得结果将有利于相关部门制定精准的碳减排和产业优化升级策略。     

Balancing Carbon Emission Reductions and Social Economic Development for Sustainable Development: Experience from 24 Countries

The impact of human carbon emissions on climate has generated widespread global concern. We selected 24 countries as research objects and analysed the changes in carbon emissions in different countries between the establishment of emission reduction actions in 1990 and 2014. Then, we selected 19 factors representing four categories(economy, population, technology and energy) to explore the key factors that led to changes in carbon dioxide(CO_2) emissions in different countries. Emission reduction actions since 1990 did not lead to marked improvements, and only five countries(Russia, Germany, the United Kingdom, Italy and France) achieved reductions in carbon emissions. The factors that influenced CO_2 emissions varied among countries. In most developing countries, reductions in CO_2 emissions were caused by reductions in poverty and inherent natural conditions. Moreover, the extent of influence of a given factor on CO_2 emissions differed among countries. The global economic crisis may cause similar fluctuations in CO_2 emissions in many countries. Adjustments to energy and industrial structures are the main reason for the reduction in carbon emissions, whereas economic growth and urbanization are the two major contributors to the growth of carbon emissions. According to historical carbon emissions data, a green energy revolution must be implemented to address global climate change and ensure the sustainable development of human societies.     

碳排放和减碳的社会经济代价研究进展与方法探究

碳排放和减碳的社会经济影响与代价评估日益受到学术界和决策者的关注,本文综合分析了全球范围内碳排放与减碳社会经济影响的重要科学问题和国内外研究现状,基于卫星最新观测到的全球CO₂非均匀分布的事实,针对温控1.5 ℃和2 ℃阈值情景,探讨了全球二氧化碳非均匀动态分布与地表温度时空关系,全球二氧化碳非均匀动态分布状况下主要国家碳排放空间评价以及温控1.5 ℃和2 ℃阈值情景下中国碳排放和减碳社会经济代价评估等问题可采取的技术模型方案,并提出了构建新气候变化经济学的理论方法与技术体系。本文构建的技术路线和研究方法拟为国家制订各项应对碳排放和减碳战略与对策、减缓气候变化并实现可持续转型、提升中国在应对气候变化领域的国际话语权等方面提供决策支持。     

武汉居民建筑物碳排放反演计算和时空分析

居民建筑物（民用住宅建筑物）碳排放对节能减排策略制定及城市可持续发展具有重要影响。针对目前城市碳排放计算方法尺度较大且缺乏居民建筑物碳排放一致性计算的问题,本文提出一种多源数据融合的城市居民建筑物碳排放定量计算方法。该方法首先采用自上而下的策略,结合夜间灯光图像,将武汉市居民碳排放总量分配到每个地块;然后采用自下而上的策略,构建由地块规划因子、社会经济因子以及单体居民建筑物形态因子组成的居民建筑物碳排放反演模型。论文使用该方法计算了武汉市所有单体居民建筑物的电能消耗碳排放量,研究结果表明：① 居民建筑物碳排放量在空间分布上呈现由中心城区向郊区不断递减的模式,和人口分布有着密切的关系;② 居民建筑物碳排放量分布具有异质性,呈现出长尾分布的特性,其中89%的居民建筑物的碳排放量低于平均值1.28 t,而11%的居民建筑物的碳排放量高于平均值;③ 同一地块上的居民建筑物碳排放量差异相对较小,地块之内平均标准差为7.66 t,而不同地块上的居民建筑物碳排放量差异相对较大,地块之间平均标准差达到51.30 t;④ 居民建筑物的碳排放量更容易受到规划因子中的容积率影响,社会经济因子中的人口密度影响,以及居民建筑物形态类型的影响。论文研究方法及相关研究成果可以为城市居住区可持续规划等问题提供决策支持。     

Developing China’s National Emission Trading Scheme: Experiences from Existing Global Schemes and China’s Pilot Programs

Market-based emission trading schemes (ETSs) are widely used in the developed world to reduce greenhouse gas (GHG) emissions which are perceived as the source of global climate change. China, as the largest GHG emitter in the world, is committed to introducing an ETS to reduce emissions. Here we reviewed existing ETSs and sustainable energy policies worldwide as well as China’s pilot programs. These studies were conducted in order to propose recommendations for national initiatives and strategies to be implemented in China in relation to climate change adaptation and mitigation. It has been shown that setting emission caps in the context of a national emission intensity target is difficult. However, implementing reliable systems for measurement, reporting, and verification of emissions are essential. A two-level management system (by central and provincial governments) for carbon trading is beneficial to ensure uniform standards and compliance while maintaining flexibility. Persistent political support from, and effective coordination of, policies by the government are crucial. In addition, strengthening of institutional innovation, and the establishment of a national GHG emissions information system, are of equal importance. This vital information could provide a great opportunity for China to re-define its economic growth and take global leadership in combatting climate change.     

基于夜间灯光数据的晋陕蒙能源消费碳排放时空格局

晋陕蒙三省区既是能源生产基地又是碳排放主要地区。对晋陕蒙市县的碳排放估算难度较大,如何准确快捷地获取其碳排放时空动态信息,对于合理制定区域碳减排规划具有重要的应用价值。本文选取中国晋陕蒙三省作为研究对象,基于夜间灯光数据,模拟晋陕蒙地区碳排放空间分布,进而系统地刻画其碳排放空间分布特征和规律。研究结果表明：① 1997-2016年,晋陕蒙三省区夜间灯光像元总值与能源消耗碳排放量之间的相关系数较高,均通过了1%的显著性检验;② 1997-2016 年,晋陕蒙地区的CO₂排放总量呈逐年增长趋势,鄂尔多斯市属于“高碳”地区;铜川市、安康市、商洛市、汉中市、阿拉善盟和阳泉市属于“低碳”地区;③ 陕西省碳排放清晰地呈现出“陕北>关中>陕南”的格局。晋陕蒙地区碳排放空间分布规律分析为该区域制定切实可行的碳减排政策提供了重要的理论依据。     

基于夜间遥感和POI的荆门市能耗空间定量化分析

以全球变暖和极端气候为主要特征的气候变化已成为世界各国普遍关注的重大环境问题,全球性的碳排放问题亟待解决已是非常明确的科学共识.然而城市能源消耗尤其是在街道街区尺度能源消耗空间定量化研究目前较少,不利于城市采取精准控制、优化能源结构和减少碳排放措施.本文以资源型城市荆门作为案例城市,以夜间遥感数据、POI等空间数据为基...     

Spatial-temporal heterogeneity of industrial structure transformation and carbon emission effect in Xuzhou Metropolitan Area

Employing decoupling index and industrial structure characteristic bias index methods, this study analyzed the spatial-temporal characteristics of industrial structure transformations and their resulting carbon emissions in the Xuzhou Metropolitan Area from 2000 to 2014, with a focus on their relationships and driving factors. Our research indicates that carbon emission intensity from industrial structures in the Xuzhou Metropolitan Area at first showed an increasing trend, which then decreased. Furthermore, the relationship between emissions and industrial economic growth has been trending toward absolute decoupling. From the perspective of the center-periphery, the Xuzhou Metropolitan Area formed a concentric pattern, where both progress towards low emissions and the level of technological advancement gradually diminished from the center to the periphery. In terms of variation across provinces, the ISCB index in the eastern Henan has decreased the slowest, followed by the southern Shandong and the northern Anhui, with the northern Jiangsu ranking last. During this period, resource- and labor- intensive industries were the primary growth industries in the northern Anhui and the eastern Henan, while labor-intensive industries dominated the southern Shandong and capital-intensive industries dominated the northern Jiangsu. In terms of city types, the spatial pattern for industrial structure indicates that recession resource-based cities had higher carbon emission intensities than mature resource-based cities, followed by non-resource-based cities and regenerative resource-based cities. Generally, the industrial structure in the Xuzhou Metropolitan Area has transformed from being resource-intensive to capital-intensive, and has been trending toward technology-intensive as resource availability has been exploited to exhaustion and then been regenerated. Industrial structure has been the leading factor causing heterogeneity of carbon emission intensities between metropolitan cities. Therefore, the key to optimizing the industrial structure and layout of metropolitan areas is to promote industrial structure transformation and improve the system controlling collaborative industrial development between cities.     

Spatial-temporal Heterogeneity of Industrial Structure Transformation and Carbon Emission Effects in Xuzhou Metropolitan Area

Employing decoupling index and industrial structure characteristic bias index methods, this study analyzed the spatial-temporal characteristics of industrial structure transformations and their resulting carbon emissions in the Xuzhou Metropolitan Area from 2000 to 2014, with a focus on their relationships and driving factors. Our research indicates that carbon emission intensity from industrial structures in the Xuzhou Metropolitan Area at first showed an increasing trend, which then decreased. Furthermore, the relationship between emissions and industrial economic growth has been trending toward absolute decoupling. From the perspective of the center-periphery, the Xuzhou Metropolitan Area formed a concentric pattern, where both progress towards low emissions and the level of technological advancement gradually diminished from the center to the periphery. In terms of variation across provinces, the ISCB index in the eastern Henan has decreased the slowest, followed by the southern Shandong and the northern Anhui, with the northern Jiangsu ranking last. During this period, resource-and labor-intensive industries were the primary growth industries in the northern Anhui and the eastern Henan, while labor-intensive industries dominated the southern Shandong and capital-intensive industries dominated the northern Jiangsu. In terms of city types, the spatial pattern for industrial structure indicates that recession resource-based cities had higher carbon emission intensities than mature resource-based cities, followed by non-resource-based cities and regenerative resource-based cities. Generally, the industrial structure in the Xuzhou Metropolitan Area has transformed from being resource-intensive to capital-intensive, and has been trending toward technology-intensive as resource availability has been exploited to exhaustion and then been regenerated. Industrial structure has been the leading factor causing heterogeneity of carbon emission intensities between metropolitan cities. Therefore, the key to optimizing the industrial structure and layout of metropolitan areas is to promote industrial structure transformation and improve the system controlling collaborative industrial development between cities.     

Carbon emission trends of manufacturing and influencing factors in Jilin Province,China

This paper constructed a carbon emission identity based on five factors: industrial activity, industrial structure, energy intensity, energy mix and carbon emission parameter, and analyzed manufacturing carbon emission trends in Jilin Province at subdivided industrial level through Log-Mean Divisia Index(LMDI) method. Results showed that manufacturing carbon emissions of Jilin Province increased 1.304 × 107 t by 66% between 2004 and 2010. However, 2012 was a remarkable year in which carbon emissions decreased compared with 2011, the first fall since 2004. Industrial activity was the most important factor for the increase of carbon emissions, while energy intensity had the greatest impact on inhibiting carbon emission growth. Despite the impact of industrial structure on carbon emissions fluctuated, its overall trend inhibited carbon emission growth. Further, influences of industrial structure became gradually stronger and surpassed energy intensity in the period 2009–2010. These results conclude that reducing energy intensity is still the main way for carbon emission reduction in Jilin Province, but industrial structure can not be ignored and it has great potential. Based on the analyses, the way of manufacturing industrial structure adjustment for Jilin Province is put forward.     

江苏省环太湖地区土地利用结构演变与驱动力分析

本文以江苏省环太湖地区为研究区域,以1996～2007年快速发展时期为研究时段,对这一特定时空的土地利用结构变化及其驱动机制进行研究。文章以大量数据为基础,分析了区域内土地利用结构动态度、信息熵和均衡度。1996年以来,江苏省环太湖地区用地结构调整即以趋向均衡的速度逐渐变缓。从2004年开始,江苏省环太湖地区用地结构趋向合理、均衡化发展。文章揭示了土地利用结构与经济发展驱动因素、农业集约化因素、城市化因素、人口因素、政策因素这五个因素有关。     

More than Carbon Stocks： A Case Study of Ecosystem-based Benefits of REDD＋ in Indonesia

During the 15th Conference of the Parties(COP 15),Parties agreed that reducing emissions from deforestation and forest degradation and enhancing ’removals of greenhouse gas emission by forests’(REDD+) in developing countries through positive incentives under the United Nations Framework Convention on Climate Change(UNFCCC) was capable of dealing with global emissions.As REDD+ seeks to lower emissions by stopping deforestation and forest degradation with an international payment tier according to baseline scenarios,opportunities for ecosystem benefits such as slowing habitat fragmentation,conservation of forest biodiversity,soil conservation may be also part of this effort.The primary objective of this study is to evaluate ecosystem-based benefits of REDD+,and to identify the relationships with carbon stock changes.To achieve this goal,high resolution satellite images are combined with Normalized Difference Vegetation Index(NDVI) to identify historical deforestation in study area of Central Kalimantan,Indonesia.The carbon emissions for the period of 2000-2005 and 2005-2009 are 2.73 × 10 5 t CO 2 and 1.47 × 10 6 t CO 2 respectively,showing an increasing trend in recent years.Dring 2005-2009,number of patches(NP),patch density(PD),mean shape index distribution(SHAPE_MN) increased 30.8%,30.7% and 7.6%.Meanwhile,largest patch index(LPI),mean area(AREA_MN),area-weighted mean of shape index distribution(SHAPE_AM),neighbor distance(ENN_MN) and interspersion and juxtaposition index(IJI) decreased by 55.3%,29.7%,15.8%,53.4% and 21.5% respectively.The area regarding as positive correlation between carbon emissions and soil erosion was approximately 8.9 × 10 3 ha corresponding to 96.0% of the changing forest.These results support the view that there are strong synergies among carbon loss,forest fragmentation and soil erosion in tropical forests.Such mechanism of REDD+ is likely to present opportunities for multiple benefits that fall outside the scope of carbon stocks.     

Analysis of major driving forces of ecological footprint based on the STRIPAT model and RR method: A case of Sichuan Province, Southwest China

The Ecological Footprint(EF) equation provides useful accounting to analyze the relationship between human activities and the environment.Knowledge of the specific forces driving EF is not fully understood but the STIRPAT model provides a simple framework for decomposing the impact of human activities on environment.We applied the EF model in Sichuan Province,China to assess the impact of human activities.The per capita EF increased by 2 fold in the 14 years between 1995 and 2008,but ecological capacity decreased in the same period,suggesting that the biologically productive area of Sichuan Province is inadequate to sustain human activities.According to the refined STIRPAT model,the hypothesized driving forces of EF include population size(P),GDP per capita(A1),quadratic term of GDP per capita(A2),percentage of GDP from industry(T1) and urbanization rate(T2).However,the multi-collinearity among these drivers could be a substantial problem which may reveal negative effect in the final results.Application of the Ridge Regression(RR) method to fit the STIRPAT model had the advantage of being able to avoid the collinearity among independent variables.The results showed that population is the principal driving force of EF variation in Sichuan Province and that urbanization and industrialization also have a positive association with the EF.Analysis of affluence elasticity(EEA) showed that the relationship betweenEF and economic growth was not curvilinear,suggesting that variation of EF does not follow an Environmental Kuznets Curve relative to economic growth in Sichuan Province.     

福州土地利用变化及其驱动力多元综合分析

运用地球信息技术对福州土地利用变化特征和驱动力进行了深入分析。主要以TM数据作为信息源获取两时相土地利用状况及其变化信息:用GPS快速提供变化区准确的空间位置信息和野外调查时的快速定位;并利用GIS对多种数据进行处理、集成管理、空间统计和相关分析;对土地利用变化驱动力进一步研究。     

广州市零售业态空间分异影响因素识别与驱动力研究

以广州市47 026个零售业网点为基本数据,通过梳理零售业空间分异的机制,构建包含人口密度、商务条件、公共交通便利性、业态丰富度与租金条件5个影响因子的零售业态空间分异影响因素评价体系,通过信息熵、核密度函数与空间回归模型分析零售业态的空间分异影响因素,对比不同城市圈层区位与不同零售业态集聚分异的因素差异。结果表明：① 需求、区位、竞争与成本构成了广州市零售业态空间分异的主要驱动力,同时,零售的景观分异也由于业态异质性与城市的空间异质性而存在驱动力分异;② 5个影响因素强度格局圈层差异明显,城市内圈层人口集聚度高,具备更好的公共交通便利性条件、商务条件与业态丰富度,同时也承受更高的地租;③ 人口密度是零售空间分异的核心要素,公共交通便利性条件、商务条件与业态丰富度对零售的集聚也有正向驱动作用,租金的影响较弱;不同圈层区位的零售空间分布与不同类型业态的空间分异的主要影响因素各不相同。     

基于地理信息的可持续发展目标(SDGs)量化评估

执行期为2016-2030年的联合国《2030年可持续发展议程》提出了17项可持续发展目标(Sustainability Development Goals,以下简称SDGs)。为切实做好其后续落实与评估措施,联合国提出了SDGs量化评估的总体思路,要求各成员国综合利用统计和地理信息,对本国可持续发展进程进行定量评估与分析,以发现存在的问题,提出改进措施。目前这项工作刚刚起步,评估指标体系尚待完善和本土化,基础数据的完善与更新任重道远,提取计算方法亟待开发或优化,远不能满足SDGs量化评估与持续监测的实践需要。我国是世界测绘大国,地理信息资源建设居于国际前列,现代通讯技术及基础设施遍及城乡,理应发挥大国作用,加快这方面的试点研究。这既可服务国家和各地可持续发展的实践,又可为国际社会做示范、出经验。此外,还应该加强这一领域的基础研究,以更好地指导SDGs量化评估与持续监测的技术研发与应用实践。     

岩溶碳循环及碳汇效应研究与展望

碳酸盐岩风化是全球碳循环的重要组成部分,具有大气与土壤CO₂汇效应,受生态系统因子驱动与全球变化影响,岩溶地区碳汇具有地表和地下双碳汇特征。简要介绍岩溶碳循环与全球变化关系,论述岩溶碳汇的相关科学问题和主要进展,分析岩溶增汇潜力与土地利用变化,进一步提出基于岩溶关键带理念的碳酸盐岩风化过程概念模型。碳酸盐岩风化产生的碳汇可能是全球碳循环“遗漏碳汇”的贡献者,同时具有缓解土壤CO₂向大气释放的作用,进而成为全球碳循环模型中“土地利用变化项”(E_LUC)的重要调节者(减源效应)。碳酸盐岩风化过程能快速响应短时间尺度变化环境因子,是岩溶关键带中连接生物、水文与地球化学过程的核心驱动机制。岩溶碳循环可理解为是土壤-生态系统碳循环的延伸或横向组成部分,共同组成岩溶地区完整的陆地浅表层碳循环系统。碳酸盐岩风化对大气CO₂浓度上升的负反馈效应,石漠化治理与生态修复工程的持续推进,蕴藏着巨大的岩溶固碳增汇潜力。应加强土壤CO₂季节及其区域变化监测与研究,构建基于土壤CO₂...     

大气CO2浓度非均匀分布及其对地表升温影响的研究进展与展望

在气候变化和全球治理挑战日益严峻的背景下,CO₂排放及代价评估日益受到学术界和决策者的关注。当前全球范围包括联合国政府间气候变化专门委员会（IPCC）评估在内的几乎所有研究都是基于全球平均CO₂浓度来驱动气候模式的,但基于全球CO₂平均分布设定开展模拟影响评估在学术界多有争议。首先,综述了大气CO₂非均匀分布的证据,评述了大气CO₂浓度非均匀分布与地表升温过程的互馈机制。其次,从自然和人为2个维度,梳理了大气CO₂浓度非均匀分布形成的原因,并评估了其对地表升温的影响。最后,评述了当前大气CO₂浓度非均匀分布研究中存在的问题,进一步展望了其发展趋势,为把握全球与区域碳排放现状及气候变化影响提供科学判据。     

我国页岩气资源及影响因素

在世界面临能源短缺的背景下,页岩气作为油气勘探的一个新领域,越来越得到世界各国的重视。我国页岩气资源丰富,许多盆地或地区具有页岩气大规模成藏的地质条件,对页岩气的研究显得尤为重要。该文介绍了我国页岩气资源储量、分布及开采面临的问题,概述了页岩气地质特征。在此基础上探讨了我国页岩气的影响因素,认为我国页岩气主要受有机碳含量、成熟度、裂缝的发育程度、地层压力的控制;页岩气与煤层气同属于非常规天然气,其赋存形态、成因类型、富集规律具有很多相似之处,因此可将页岩气与煤层气进行对比研究。     

Inter-provincial Differences in Rice Multi-cropping Changes in Main Double-cropping Rice Area in China: Evidence from Provinces and Households

Since the early 1980 s, the multi-cropping index for rice has decreased significantly in main double-cropping rice area in China, which is the primary double-cropping rice(DCR) production area. This decline may bring challenges to food security in China because rice is the staple food for more than 60% of the Chinese population. It has been generally recognized that rapidly rising labor costs due to economic growth and urbanization in China is the key driving force of the ‘double-to-single' rice cropping system adaption. However, not all provinces have shown a dramatic decline in DCR area, and labor costs alone cannot explain this difference. To elucidate the reasons for these inter-provincial distinctions and the dynamics of rice cropping system adaption, we evaluated the influencing factors using provincial panel data from 1980 to 2015. We also used household survey data for empirical analysis to explore the mechanisms driving differences in rice multi-cropping changes. Our results indicated that the eight provinces in the study can be divided into three spatial groups based on the extent of DCR area decline, the rapidly-declining marginal, core, and stable zones. Increasing labor cost due to rapid urbanization was the key driving force of rice cropping system adaption, but the land use dynamic vary hugely among different provinces. These differences between zones were due to the interaction between labor price and accumulated temperature conditions. Therefore, increasing labor costs had the greatest impact in Zhejiang, Anhui, and Hubei, where the accumulated temperature is relatively low and rice multi-cropping index declined dramaticly. However, labor costs had little impact in Guangdong and Guangxi. Differences in accumulated temperature conditions resulted in spatially different labor demands and pressure on households during the busy season. As a result, there have been different profits and rice multi-cropping changes between provinces and zones. Because of these spatial differences, regionally appropriate policies that provide appropriate subsidies for early rice in rapidly-declining marginal zone such as Zhejiang and Hubei should be implemented. In addition, agricultural mechanization and the number of agricultural workers have facilitated double-cropping; therefore, small machinery and agricultural infrastructure construction should be further supported.