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1.
Household CO_2 emissions were increasing due to rapid economic growth and different household lifestyle. We assessed per capita household CO_2 emissions(PHCEs) based on different household consuming demands(including clothing, food, residence, transportation and service) by using provincial capital city level survey data in China. The results showed that:(1) there was a declining trend moving from eastward to westward as well as moving from northward to southward in the distribution of PHCEs.(2) PHCEs from residence demand were the largest which accounted for 44% of the total.(3) Correlation analysis and spatial analysis(Spatial Lag Model(SLM) and Spatial Error Model(SEM)) were used to evaluate the complex determinants of PHCEs. Per capita income(PI) and household size(HS) were analyzed as the key influencing factors. We concluded that PHCEs would increase by 0.2951% and decrease by 0.5114% for every 1% increase in PI and HS, respectively. According to the results, policy-makers should consider household consuming demand, income disparity and household size on the variations of PHCEs. The urgency was to improve technology and change household consuming lifestyle to reduce PHCEs. 相似文献
2.
The production and burning of fossil fuels is the primary contributor to CO2 emissions for the U.S. We assess the impact of producing coal, crude oil, and natural gas on the environment and economic well-being by analyzing state-level data from 2001 to 2015. Our findings show that coal production has led to more CO2 emissions and no significant benefit to economic well-being. Crude oil production has a non-significant impact on CO2 emissions but is related to a lower poverty rate, a higher median household income, and a higher employment rate. Natural gas withdrawals have a positive impact on median household income. We discuss these findings in the context of current U.S. energy policies and then provide directions for future research. 相似文献
3.
Yan Yang Limao Wang Zhi Cao Chufu Mou Lei Shen Jianan Zhao Yebing Fang 《地理学报(英文版)》2017,27(6):711-730
Much attention is being given to estimating cement-related CO2 emissions in China. However, scant explicit and systematical exploration is being done on regional and national CO2 emission volumes. The aim of this work is therefore to provide an improved bottom-up spatial-integration system, relevant to CO2 emissions at factory level, to allow a more accurate estimation of the CO2 emissions from cement production. Based on this system, the sampling data of cement production lines were integrated as regional- and national-level information. The integration results showed that each ton of clinker produced 883 kg CO2, of which the process, fuel, and electricity emissions accounted for 58.70%, 35.97%, and 5.33%, respectively. The volume of CO2 emissions from clinker and cement production reached 1202 Mt and 1284 Mt, respectively, in 2013. A discrepancy was identified between the clinker emission factors relevant to the two main production processes (i.e., the new suspension preheating and pre-calcining kiln (NSP) and the vertical shaft kiln (VSK)), probably relevant to the energy efficiency of the two technologies. An analysis of the spatial characteristics indicated that the spatial distribution of the clinker emission factors mainly corresponded to that of the NSP process. The discrepancy of spatial pattern largely complied with the economic and population distribution pattern of China. The study could fill the knowledge gaps and provide role players with a useful spatial integration system that should facilitate the accurate estimation of carbon and corresponding regional mitigation strategies in China. 相似文献
4.
随着城市化进程的加快和家庭采暖用能消费量的不断提高, 家庭采暖用能碳排放对环境造成的胁迫效应日益凸显。尽管家庭采暖碳排放问题引起众多学者的关注, 但深入探讨微观家庭采暖用能碳排放机理研究仍然缺乏。根据生活方式对家庭采暖碳排放影响的理论分析, 构建城市家庭采暖碳排放影响因素研究模型, 以暖温带典型城市——开封市为例, 基于792 户家庭样本的调查数据, 探究生活方式与家庭人均采暖CO2排放之间的关系。借助数据统计和多元回归分析发现:① 家庭采暖生活方式各因子与人均采暖CO2排放量之间的关系密切, 随着各因子的变化, 家庭人均采暖CO2排放量呈现出规律性变化;② 生活方式各因子均为影响家庭人均采暖CO2排放的显著因子, 其中, 住房面积、采暖形式、采暖期长度、人口规模等因素对家庭人均采暖CO2排放的影响程度较大。建议采用低碳采暖形式, 以降低家庭采暖碳排放量。 相似文献
5.
选取青海高原城市西宁为研究对象,开展家庭能源消费问卷入户调查,建立高原城市家庭能源消费数据库(N=500),采用探索性空间数据分析方法,总结分析家庭能耗碳排放的空间特征与驱动因素,得出以下结论：(1)西宁市家庭人均能源消费量与人均能耗碳排放平均值分别为10.57 kgce/d和6.11 kg/d,取暖、厨房设备及热水器设备是家庭能耗及碳排放的主要来源;(2)西宁市人均家庭能源消费碳排放总体呈现出高值区(HH)、低值区(LL)相对集聚,而局部地区也存在高低值区(HL)和低高值区(LH)集聚现象,其空间规律呈现明显的异质性;(3)家庭收入、地理环境以及建筑特征等因素是人均家庭能源消费碳排放空间异质性形成的主要因素。 相似文献
6.
Steven T. Anderson 《Natural Resources Research》2017,26(2):137-159
Carbon capture from stationary sources and geologic storage of carbon dioxide (CO2) is an important option to include in strategies to mitigate greenhouse gas emissions. However, the potential costs of commercial-scale CO2 storage are not well constrained, stemming from the inherent uncertainty in storage resource estimates coupled with a lack of detailed estimates of the infrastructure needed to access those resources. Storage resource estimates are highly dependent on storage efficiency values or storage coefficients, which are calculated based on ranges of uncertain geological and physical reservoir parameters. If dynamic factors (such as variability in storage efficiencies, pressure interference, and acceptable injection rates over time), reservoir pressure limitations, boundaries on migration of CO2, consideration of closed or semi-closed saline reservoir systems, and other possible constraints on the technically accessible CO2 storage resource (TASR) are accounted for, it is likely that only a fraction of the TASR could be available without incurring significant additional costs. Although storage resource estimates typically assume that any issues with pressure buildup due to CO2 injection will be mitigated by reservoir pressure management, estimates of the costs of CO2 storage generally do not include the costs of active pressure management. Production of saline waters (brines) could be essential to increasing the dynamic storage capacity of most reservoirs, but including the costs of this critical method of reservoir pressure management could increase current estimates of the costs of CO2 storage by two times, or more. Even without considering the implications for reservoir pressure management, geologic uncertainty can significantly impact CO2 storage capacities and costs, and contribute to uncertainty in carbon capture and storage (CCS) systems. Given the current state of available information and the scarcity of (data from) long-term commercial-scale CO2 storage projects, decision makers may experience considerable difficulty in ascertaining the realistic potential, the likely costs, and the most beneficial pattern of deployment of CCS as an option to reduce CO2 concentrations in the atmosphere. 相似文献
7.
Paweł Wiśniewski Mariusz Kistowski 《Geografisk tidskrift / udgivet af Bestyrelsen for Det Kongelige danske geografiske selskab》2013,113(2):123-136
Agriculture is often not included in the baseline greenhouse gas (GHG) emission inventories created for local low carbon economy plans in Poland and other European countries. We therefore estimate the size of the carbon footprint from agricultural sources and indicate the share of agriculture in the total GHG emissions in selected Polish communes (LAU level 2). We propose a solution whereby local government units can estimate their carbon footprint independently and monitor the impact of actions taken to reduce emissions. The value of the carbon footprint from agriculture in the selected communes varies from .5 to 46.5 thousand Mg CO2eq/year, with a mean value of 12.6 thousand Mg CO2eq/year and a standard deviation of 11.4 thousand Mg CO2eq/year. Per capita, these values range from 10 kg CO2eq/year to 8.4 Mg CO2eq/year, with a mean of 1.1 Mg CO2eq/year and a standard deviation of 1.5 Mg CO2eq/year. In all communes, the contribution of agriculture to total emissions is at an average of 14% (values range from .2 to 57.4%). The obtained results confirm the appropriateness of including emissions from the agricultural sector and other related sources in low carbon economy plans. 相似文献
8.
居民家庭日常出行碳排放的发生机制与调控策略——以北京市为例 总被引：3，自引：0，他引：3
根据2007年北京市居民活动日志调查数据,利用Amos7.0软件建立单效标因素的路径分析模型,试图在"社区-家庭"层面上挖掘"空间利用-出行特征-碳排放"的内在发生机理,藉此寻找城市空间组织低碳化的调控路径。研究发现:影响居民家庭日常出行碳排放的主要因素是出行距离和出行方式。社区空间利用特征对家庭出行的距离总量有显著影响,对小汽车出行比率则没有明显作用效果;私家车的购置对居民家庭出行行为的高碳化具有不可逆的作用特点;在现有设施条件、空间环境和车辆使用政策下,公共交通对私人交通出行没有替代性。研究认为,城市空间组织和调控优化应通过土地混合利用、设施供给等物质空间组织与再组织手段,形成空间行为组织和行为规划策略,引导居民降低交通发生量,优化居民交通发生的时空结构,建构低碳的城市空间结构。 相似文献
9.
Burak Güneralp 《Applied geography (Sevenoaks, England)》2012,32(1):40-50
Urbanization is a demographic, economic, and land transformation process. Building construction and operation are integral aspects of urban land use change and contribute to material and energy resources consumption and the resulting carbon dioxide (CO2) emissions in urban areas. In this paper, we ask two questions regarding the urbanization process: 1) Do the land, material, and energy use efficiencies associated with the construction and operation of buildings increase over time? 2) Do the gains in resource use efficiencies offset the increases in resource demands due to the magnitude of urbanization? To answer these questions, we use a systematic approach similar to a material flow analysis and apply it to the Pearl River Delta, a rapidly urbanizing region in China. We use a combination of satellite data and official statistics to evaluate changes in urban population density and building density from 1988 to 2008. Both density measures decrease from 1988 to 2003; after 2003, building density increases while population density continues to decline. We also track the indirect impacts of urban land expansion on material and energy demands and associated CO2 emissions using concrete and heating/cooling as proxies for building construction and operation, respectively. Throughout the study period, structural changes and efficiency gains decrease the demand per unit floor area for both building materials and energy. However, the efficiency gains are outstripped by the magnitude of urban expansion, therefore leading to an increase in the demand for resources and CO2 emissions per capita. Our results show that focusing only on gains in efficiency for individual buildings without considering the scale of urban expansion results in underestimate of the cumulative energy, material, and greenhouse gas emissions impacts of urbanization. We emphasize the distinction between the rates versus the accumulations of these impacts over spatial and temporal scales. We discuss the relevance of the Environmental Kuznets approaches to tackling environmental impacts that are cumulative in nature and may lead to irreversible changes in the environment. We conclude that tracking the energy, materials, and emissions impacts of urbanization requires a multi-scale approach that ranges from the individual building to the urban region. 相似文献
10.
中小城市家庭生活用能碳排放空间分异——以开封市为例 总被引：1，自引：0，他引：1
利用2015年开封市居民家庭生活用能的大样本问卷调查数据,采用探索性空间数据分析（ESDA）和标准差椭圆（SDE）方法,探索城市居住区家庭生活用能碳排放空间分布特征。结果表明：① 家庭生活用能碳排放存在以热点区为主的空间正相关特性,碳排放高值集聚发生在城市新建开发区和建成区向外扩张较快区域,以2000年以后新建高档商品房小区和机关事业单位家属院为主,低值集聚区则发生在建成时间长、后续开发力度小的区域,以老商品房小区和胡同社区为主;② 开封市家庭电力消耗碳排放占生活用能总碳排放的67%,但人均生活用能碳排放空间格局由供暖碳排放决定,且人均供暖碳排放空间格局又由集中供暖碳排放空间格局决定,故降低集中供暖能耗、缩小居民供暖用能差异成为居民生活用能碳减排工作的重中之重;③ 家庭经济状况、集中供暖设施分布和城市发展的空间格局是家庭生活用能碳排放空间依赖性和空间异质性形成的主要驱动因素。 相似文献
11.
黄河下游沿岸地市CO2排放的时空分异 总被引：1，自引：0，他引：1
地市级尺度的碳排放结构演变与区域差异分析对通过技术学习与知识流动短期内抑制 碳排放的快速增长具有重要意义。以地市级行政区作为基本空间单元, 对黄河下游沿岸区、 两大子区及21地市化石能源与水泥工业生产过程排放的CO2 进行科学核算, 发现CO2 排放量 变化于2000年的364.12～4426.95万t至2009年的1238.98～10411.91万t,呈现出典型的 “S型”增长特征, 但不同尺度区域排放结构的时空差异显着。2006年以来, 工业化进程较快 的区域水泥排碳比例有显着增长, 产业结构优化策略促使少数地市水泥排碳比例有所下降。 CO2 排放强度与人均排放量的变动符合碳排放EKC曲线关系, 但时空分异特征并不一致。排 放强度的全区总体差异较为合理, 而人均排放量的区域差异偏大, 从而为涓滴效应的加速作 用创造了空间。地区内差异分别为两指标全区总体差异变动的主导因素, 整体上, 中原区内 地市间差异对两指标全区差异变动的贡献更大。 相似文献
12.
This paper seeks to quantify the social and economic impact of resettlement based on the physiographic element changes post relocation. We focus on communities affected by the Nuozhadu hydropower project, the largest existing hydropower project on the mainstream of the Upper Mekong River. Soil and meteorological data were collected from the Soil Spatial Database and the China Terrestrial Ecological Information Spatial Meteorology Database, while social and economic data were collected via field surveys. We have three major con- clusions： （1） Communities will be relocated to a new climate and new elevation, moving from a north tropical climate zone under 700 m to a subtropical climate zone above 700 m. （2） Physiographic element changes due to relocation will reduce household economic income. After relocation, the annual family income of the Shidaimao group decreased by 62%; the annual family income of the other 5 study groups （Lasa, Hani, Nochangchangyi, Mengsa, and Dawazi） dropped by 65%. （3） Communities relocated across the study township are 61.1% less connected with their former relatives after relocation while family-to-family free labor exchange, a previous community norm, decreased by 91%. China＇s dam resettlement compensation system focuses on the loss of economic resources after relocation. However, this study finds that the physiographic elements of the relocation sites are an important driver of ensuring economic growth and stability after relocation. As a result, we recommend more attention be paid to physiographic continuity when designing relocation models. 相似文献
13.
Comparative study on Co<Subscript>2</Subscript> emissions from different types of alpine meadows during grass exuberance period 总被引：2，自引：1，他引：1
Potentilla fruticosa scrub,Kobresia humilis meadow andKobresia tibetica meadow are widely distributed on the Qinghai-Tibet Plateau. During the grass exuberance period from 3 July to 4 September,
based on close chamber-GC method, a study on CO2 emissions from different treatments was conducted in these meadows at Haibei research station, CAS. Results indicated that
mean CO2 emission rates from various treatments were 672.09±152.37 mgm-2h-1 for FC (grass treatment); 425.41± 191.99 mgm-2h-1 for FJ (grass exclusion treatment); 280.36±174.83 mgm-2h-1 for FL (grass and roots exclusion treatment); 838.95±237.02 mgm-2h-1 for GG (scrub+grass treatment); 528.48±205.67 mgm-2h-1 for GC (grass treatment); 268.97±99.72 mgm-2h-1 for GL (grass and roots exclusion treatment); and 659.20±94.83 mgm-2h-1 for LC (grass treatment), respectively (FC, FJ, FL, GG, GC, GL, LC were the Chinese abbreviation for various treatments).
Furthermore,Kobresia humilis meadow,Potentilla fruticosa scrub meadow andKobresia tibetica meadow differed greatly in average CO2 emission rate of soil-plant system, in the order of GG>FC>LC>GC. Moreover, inKobresia humilis meadow, heterotrophic and autotrophic respiration accounted for 42% and 58% of the total respiration of soil-plant system
respectively, whereas, inPotentilla fruticosa scrub meadow, heterotrophic and autotrophic respiration accounted for 32% and 68% of total system respiration from GG; 49%
and 51% from GC. In addition, root respiration fromKobresia humilis meadow approximated 145 mgCO2m-2h-1, contributed 34% to soil respiration. During the experiment period,Kobresia humilis meadow andPotentilla fruticosa scrub meadow had a net carbon fixation of 111.11 gm-2 and 243.89 gm-2, respectively. Results also showed that soil temperature was the main factor which influenced CO2 emission from alpine meadow ecosystem, significant correlations were found between soil temperature at 5 cm depth and emission
from GG, GC, FC and FJ treatments. In addition, soil moisture may be the inhibitory factor of CO2 emission fromKobresia tibetica meadow, and more detailed analyses should be done in further research. 相似文献
14.
Accurate and detailed accounting of energy-induced carbon dioxide (CO2) emissions is crucial to the evaluation of pressures on natural resources and the environment, as well as to the assignment of responsibility for emission reductions. However, previous emission inventories were usually production- or consumption-based accounting, and few studies have comprehensively documented the linkages among socio-economic activities and external transaction in urban areas. Therefore, we address this gap in proposing an analytical framework and accounting system with three dimensions of boundaries to comprehensively assess urban energy use and related CO2 emissions. The analytical framework depicted the input, transformation, transfer and discharge process of the carbon-based (fossil) energy flows through the complex urban ecosystems, and defined the accounting scopes and boundaries on the strength of ‘carbon footprint’ and ‘urban metabolism’. The accounting system highlighted the assessment for the transfer and discharge of socio-economic subsystems with different spatial boundaries. Three kinds methods applied to Beijing City explicitly exhibited the accounting characteristics. Our research firstly suggests that urban carbon-based energy metabolism can be used to analyze the process and structure of urban energy consumption and CO2 emissions. Secondly, three kinds of accounting methods use different benchmarks to estimate urban energy use and CO2 emissions with their distinct strength and weakness. Thirdly, the empirical analysis in Beijing City demonstrate that the three kinds of methods are complementary and give different insights to discuss urban energy-induced CO2 emissions reduction. We deduce a conclusion that carbon reductions responsibility can be assigned in the light of production, consumption and shared responsibility based principles. Overall, from perspective of the industrial and energy restructuring and the residential lifestyle changes, our results shed new light on the analysis on the evolutionary mechanism and pattern of urban energy-induced CO2 emissions with the combination of three kinds of methods. And the spatial structure adjustment and technical progress provides further elements for consideration about the scenarios of change in urban energy use and CO2 emissions. 相似文献
15.
Quantitative analysis of the impact factors of conventional energy carbon emissions in Kazakhstan based on LMDI decomposition and STIRPAT model 总被引：2，自引：2，他引：0
Quantitative analysis of the impact factors in energy-related CO2 emissions serves as an important guide for reducing carbon emissions and building an environmentally-friendly society. This paper aims to use LMDI method and a modified STIRPAT model to research the conventional energy-related CO2 emissions in Kazakhstan after the collapse of the Soviet Union. The results show that the trajectory of CO2 emissions displayed U-shaped curve from 1992 to 2013. Based on the extended Kaya identity and additive LMDI method, we decomposed total CO2 emissions into four influencing factors. Of those, the economic active effect is the most influential factor driving CO2 emissions, which produced 110.86 Mt CO2 emissions, with a contribution rate of 43.92%. The second driving factor is the population effect, which led to 11.87 Mt CO2 emissions with a contribution rate of 4.7%. On the contrary, the energy intensity effect is the most inhibiting factor, which caused–110.90 Mt CO2 emissions with a contribution rate of–43.94%, followed by the energy carbon structure effect resulting in–18.76 Mt CO2 emissions with a contribution rate of–7.43%. In order to provide an in-depth examination of the change response between energy-related CO2 emissions and each impact factor, we construct a modified STIRPAT model based on ridge regression estimation. The results indicate that for every 1% increase in population size, economic activity, energy intensity and energy carbon structure, there is a subsequent increase in CO2 emissions of 3.13%, 0.41%, 0.30% and 0.63%, respectively. 相似文献
16.
能源转型是中国如期实现碳中和、碳达峰目标的必然路径,也是缩小城乡居民能源消费差距、实现能源平等的关键举措。基于2013年和2017年的家庭追踪调查数据,运用基尼系数、局部加权回归以及逐步回归等方法,在揭示中国城乡家庭能源平等的时空特征、能源转型效果基础上,定量评价影响地区间、城乡间家庭能源平等的驱动因素。结果表明：① 中国城乡家庭的能源消费水平总体呈明显不平等特征,但随着能源转型政策实施以及城乡融合进程加速,城乡家庭间能源不平等程度有所减小。② 对10609个城乡家庭样本、9类分区的比较显示,除长三角地区的家庭能源平等性较高外,其他地区均呈不同程度的非均衡性,尤其在云贵等西南地区的家庭能源不平等现象尤为突出。③ 家庭收入、家庭规模、城乡居住区位、气候条件以及现代化能源可获得性显著影响家庭能源支出,进而对区域间的家庭能源平等性造成影响,而当地的能源资源禀赋对家庭能源支出的影响并不显著。④ 尽管农村地区气态能源、电力资源普及有效推动了城乡家庭能源转型,但农村家庭需担负相较于城镇家庭居民更大的能源转型经济压力。 相似文献
17.
基于秦巴山商洛地区农户问卷调查数据,在可持续生计框架下,聚焦不同群体之间生计资本状况,并探讨其农户生计资本对生计策略选择的影响以及生计资本的耦合性。结果表明：（1） 山区农户生计策略出现明显分化,依据非农收入比重分为纯务工型、务工主导型、兼业型和纯农型4种类型。（2） 调研样本中农户生计资本有限和不均衡,呈现金融资本和社会资本相对较高,自然资本、人力资本偏低的特征。非贫困户中兼业型生计资本总值最高,务工主导型、纯务工型次之,纯农型最低;贫困户中务工主导型生计资本总值最高,纯务工型、兼业型次之,纯农型最低。（3） 非贫困户中人均耕地面积、人均林地面积、耕地质量、职业技能水平、政治资源、就业网络对纯务工型农户向务工主导型、兼业型转变有着积极影响,家庭人均收入、男性劳动力比例则具有负向影响;家庭人均收入和职业技能水平对于纯务工型向纯农型转变有负向影响。贫困户中人均耕地面积、人均林地面积、政治资源对纯务工型农户向务工主导型、兼业型和纯农型转变具有正向影响,家庭人均收入、劳动力教育水平、职业技能水平、联系成本则具有负向影响。（4） 非贫困农户生计资本耦合度依次为兼业型＞务工主导型＞纯务工型＞纯农型;贫困农户则为兼业型＞纯务工型＞务工主导型＞纯农型。因此,开展农户可持续性生计研究,对于农户减贫、促进乡村地区发展具有重要意义。 相似文献
18.
京津冀地区乡村振兴地域模式研究——基于乡村非农就业与农民增收的空间效应 总被引：2，自引：0，他引：2
探讨乡村非农就业与农民增收、农业农村发展之间的辩证关系,构建乡村振兴地域模式,对有序推进城镇化,实现农民生活富裕与乡村振兴具有重要意义。将京津冀地区划分为京津近郊区（I）、冀东北地区（II）、冀中平原区（III）、冀西太行山区（IV）、坝上地区（V）五类地域类型,采用2000—2016年京津冀县域面板数据,应用空间回归模型测算了京津冀地区乡村非农就业对农民增收的空间效应,提炼了京津冀地区乡村振兴地域模式。结果表明：① 京津冀地区及五类地域类型区乡村就业非农化率与农民收入持续增长,2000—2016年,京津冀地区农村居民人均纯收入由2486元增至11920元,乡村就业非农化率由38.9%增至57.5%,五类地域类型区乡村就业非农化率排序依次为：I>III>II>IV>V,农村居民人均纯收入排序依次为：I>II>III>IV>V;② 京津冀地区乡村就业非农化率每提高1个单位,农民收入增长9.215个单位,I、II、III、V区就业非农化对农民收入的弹性系数分别为29.986、-23.605、-10.388、9.951,IV区两者之间关系不显著;③ 依据不同地域类型乡村非农就业与农民增收的特征、机理与未来发展趋势,提炼了京津冀地区乡村振兴的四种地域模式,即就业平稳型+农工商主导、兼业型+现代农业主导、就业输出型+复合型特色农业主导、就业输出型+生态农旅主导。 相似文献
19.
基于郑州市地铁1号线、2号线周边11个典型社区的居民调查数据,对地铁开通前后居民通勤交通碳排放进行了核算,从职业、收入和距离等方面分析了地铁沿线居民通勤交通碳排放的影响因素,结果表明:(1)地铁1号线开通后人均通勤碳排放减少18%,地铁2号线开通后减少43%;(2)不同职业类型的居民在地铁开通后通勤碳减排比例由高到低依次为教师、公司职员、其他、工人、公务员;(3)居民收入与通勤交通碳排放量成正相关,与地铁开通后的碳减排比例呈负相关;(4)居民通勤碳减排率与居住地到最近地铁站的距离成负相关,地铁开通后距离地铁站为0~1,1~2,2~3 km的小区人均通勤碳排放减少率分别52.76%,41.12%,24.36%。 相似文献
20.
我国城市居民直接能耗的碳排放类型及影响因素 总被引：7，自引：1，他引：6
针对我国287个地级以上城市,在测算了近9年居民直接能耗导致的CO2排放量的基础上,进行聚类、对比,并分析城市居民直接能耗的碳排放影响因素,得到以下结论:全国分为6类城市居民直接能耗碳排放类型;高碳排放型城市的地均碳排放强度、人均工资碳排放强度及居民直接能耗CO2排放总量等方面均比低碳排放型城市高,人均地方生产总值碳排放强度低于低碳排放型城市,并多为经济发达城市和资源丰富城市,其碳排放构成上分别以电、交通能耗碳排放和气碳排放为主导,高碳排放型城市居民直接能耗CO2排放量占全国地级以上城市的86.20%。我国大部分地级城市居民直接能耗的碳排放属于相对低碳排放型,其人均CO2排放量低于全国平均水平。城市所在地的降温度日数(CDD)、采暖期、采暖强度、人均能源供给量、居民的人均工资、城市人均地方生产总值是影响城市居民直接能耗CO2排放量的主要因素。 相似文献