中国农业大学学报2024，Vol.29Issue(1)：157-166,10.DOI:10.11841/j.issn.1007-4333.2024.01.15
海南省农业领域碳排放时空分布与预测
Spatio-temporal distribution and prediction of agricultural carbon emissions in Hainan Province
摘要
Abstract
To explore the temporal and spatial distribution characteristics of carbon emission in Hainan Province,based on the agricultural data from 2016 to 2020,the annual total agricultural carbon emission and carbon emission intensity of Hainan Province were calculated by IPCC carbon emission calculation and prevention from four aspects,which were planting industry,aquaculture industry,fishery industry and agricultural energy.The results showed that:The total carbon emissions from the agricultural sector in Hainan Province had a small change over the years.In 2018,the total agricultural carbon emissions in Hainan Province reached the maximum of 4 956 900 tons of carbon equivalent,and the carbon emissions from the planting industry and agricultural energy accounted for the largest proportion,61.62％and 31.29％,respectively.The characteristics of island lead to significant regional differences in total agricultural carbon emissions.The agricultural carbon emissions are much higher in the north and lower in the south,higher in the outside and lower in the inside.The agricultural carbon emission intensity of Hainan Province has been decreasing year by year.In 2020,the agricultural carbon emission intensity of the province has been reduced to 0.26 kg(in carbon equivalent)per 100 million yuan,which is faster than the national average.Under the current agricultural development scenario,Hainan Province has basically achieved the peak of carbon in the agricultural sector,and although the total carbon emission and carbon emission intensity are at a high level,they will continue to decline in the next few years.关键词
海南省/农业/碳排放总量/碳排放碳/碳排放强度Key words
Hainan Province/agricultural/carbon emissions/carbon intensity分类
管理科学引用本文复制引用
叶炳南,孟海波,冯晶,丛宏斌..海南省农业领域碳排放时空分布与预测[J].中国农业大学学报,2024,29(1):157-166,10.基金项目
农业农村部规划设计研究院自主研发项目(QX202110) （QX202110）
