广东电力行业碳排放测算方法及时空演变特性OA
Calculation Method and Spatiotemporal Evolution Characteristics of Carbon Emissions in Guangdong Power Industry
电力行业作为中国最大碳排放源行业,其低碳转型对实现"双碳"目标至关重要.目前,电力行业碳排放的系统性研究稀缺,且现有研究中测算方法未完整考虑跨区域电力交互,并缺乏地级市测算范围,也未能全面揭示电力碳排放的时空演变特性和迁移过程.为此,首先建立省域和地市域电力碳排放测算模型,对2000-2022年广东省及其下辖21个地市电力行业的实际碳排放量及强度进行测算;其次,采用趋势斜率值、莫兰指数和碳排放中心区迁移模型,深入揭示广东电力实际碳排放的总体时序演进趋势、空间格局变化趋势、空间同异质性和碳排放中心迁移轨迹.研究结果表明:①电力碳排放量呈阶梯增长趋势,而碳排放强度则总体上为下降趋势;②碳排放量在全局上表现出显著的空间正相关性,且随时间推移,空间集聚特征逐渐增强;③碳排放量的局部特征表现为低值集聚区位于粤东、粤西,高值集聚区集中于珠三角核心,低值孤岛区主要分布在高值集聚区周围且随时间推移迅速减少,未见高值孤岛区;④碳排放中心区位于广东省中南部,在空间上呈"东北-西南"分布格局,在时间上具有南北向心集聚、东西空间发散的面积扩大趋势,其重心位于广莞交界并向西南缓慢迁移.
The power industry,being the largest carbon emitter industry in China,plays a pivotal role in achieving the national dual-carbon goals by means of low carbon transition.However,systematic research on carbon emissions remains scarce,and existing studies often inadequately account for cross-regional electricity interaction and lack city-level analysis,failing to fully reveal the spatiotemporal evolution and migration patterns of power-related carbon emissions.To address these gaps,this study develops provincial and municipal carbon emission calculation models that incorporate inter-regional electricity flows.Using these models,the actual carbon emissions and emission intensity of the power industry in Guangdong province and its 21 prefecture-level cities from 2000 to 2022 are calculated.Subsequently,the slope analysis,Moran's I index and a carbon emission center migration model is used to elucidate the overall temporal trends,spatial patterns,spatial autocorrelation,and migration trajectory of the emission center.The results indicate that carbon emissions exhibit a stepwise growth trend,while emission intensity shows an overall decline.Emissions demonstrate significant global spatial positive correlation,with spatial agglomeration intensifying over time.Locally,low-emission clusters are located in eastern and western Guangdong,whereas high-emission clusters are concentrated in the core Pearl River Delta.Low-emission islands,primarily surrounding high-emission clusters,have decreased rapidly,with no high-emission islands observed.The carbon emission center is situated in central-southern Guangdong,displaying a"northeast-southwest"spatial pattern.It exhibits a trend of north-south centripetal aggregation and east-west divergence in time,with its center of gravity located near the Guangzhou-Dongguan boundary and slowly shifting southwest.
杨韵;李东颖;赵越;左剑;李凯;朱建全
广东电网有限责任公司电力调度控制中心,广东 广州 510220华南理工大学电力学院,广东 广州 510641广东电网有限责任公司电力调度控制中心,广东 广州 510220广东电网有限责任公司电力调度控制中心,广东 广州 510220华南理工大学电力学院,广东 广州 510641华南理工大学电力学院,广东 广州 510641
信息技术与安全科学
电力行业碳排放碳排放测算时空演变特性中心区迁移模型
power industry carbon emissioncarbon emission calculationspatiotemporal characteristiccentral region migration model
《广东电力》 2026 (3)
20-30,11
中国南方电网有限责任公司科技项目[036000KC23110011(GDKJXM20231193)]
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