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江苏省农业碳排放时序特征与趋势预测
引用本文:邱子健,靳红梅,高南,徐轩,朱津宏,李庆,王子清,徐拥军,申卫收.江苏省农业碳排放时序特征与趋势预测[J].农业环境科学学报,2022,41(3):658-669.
作者姓名:邱子健  靳红梅  高南  徐轩  朱津宏  李庆  王子清  徐拥军  申卫收
作者单位:南京信息工程大学环境科学与工程学院/江苏省大气环境监测与污染控制高技术研究重点实验室/江苏省大气环境与装备技术协同创新中心, 南京 210044;江苏省农业科学院农业资源与环境研究所, 南京 210014;江苏省有机固体废弃物资源化协同创新中心, 南京 210095;南京工业大学生物与制药工程学院, 南京 211816;江苏现代低碳技术研究院, 南京 210003
基金项目:江苏省发展和改革委员会碳达峰策略和路径前期研究;国家自然科学基金面上项目(41771291)
摘    要:为探讨江苏省农业碳排放时序特征及未来碳排放趋势,利用排放因子法对江苏省2000—2019年农业碳排放进行估算,并运用STIRPAT模型对2020—2030年全省农业碳排放趋势进行预测。结果表明:江苏省2000—2019年的CO2排放当量(CO2e)整体呈现降低-升高-降低的趋势,并在2005年达峰,估算为8 361.77万t,其中种植业、畜牧业则分别在2010年、2003年达峰,种植业排放量远高于畜牧业。农业CO2e排放强度呈先升高后降低的趋势,2003年后排放强度逐年递减,到2019年已降至1.31 t·万元-1;在各碳源中,水稻种植是全省农业碳排放的最大排放源,而在主要畜禽中,猪养殖过程中造成的碳排放远高于其他畜禽;预计2020—2030年,伴随城镇化发展、农业人均GDP提高和农业碳排放强度的进一步降低,全省农业CO2e排放量仍将呈下降趋势,在减碳的同时可以兼顾农业经济高效发展。研究表明,江苏省农业已实现碳达峰,未来农业碳排放的持续降低将有利于加速全省碳中和目标的实现。

关 键 词:江苏省  农业碳排放  种植业  畜牧业  碳达峰  碳中和
收稿时间:2021/6/6 0:00:00

Temporal characteristics and trend prediction of agricultural carbon emission in Jiangsu Province, China
QIU Zijian,JIN Hongmei,GAO Nan,XU Xuan,ZHU Jinhong,LI Qing,WANG Ziqing,XU Yongjun,SHEN Weishou.Temporal characteristics and trend prediction of agricultural carbon emission in Jiangsu Province, China[J].Journal of Agro-Environment Science( J. Agro-Environ. Sci.),2022,41(3):658-669.
Authors:QIU Zijian  JIN Hongmei  GAO Nan  XU Xuan  ZHU Jinhong  LI Qing  WANG Ziqing  XU Yongjun  SHEN Weishou
Institution:School of Environmental Science and Engineering, Nanjing University of Information Science and Technology/Key Laboratory of High Technology Research on Atmospheric Environment Monitoring and Pollution Control in Jiangsu Province/Jiangsu Atmospheric Environment and Equipment Technology Collaborative Innovation Center, Nanjing 210044, China;Institute of Agricultural Resources and Environment, Jiangsu Academy of Agricultural Sciences, Nanjing 210014, China;Jiangsu Collaborative Innovation Center for Solid Organic Waste Resource Utilization, Nanjing 210095, China;School of Biological and Pharmaceutical Engineering, Nanjing University of Technology, Nanjing 211816, China;Jiangsu Institute of Modern Low Carbon Technology, Nanjing 210003, China
Abstract:In order to explorends in Jiangsu Province, the emission factor method was used to estimate the agricultural carbon emissions of Jiangsu Province the temporal characteristics of agricultural carbon and future carbon emission tre from 2000 to 2019. The STochastic Impacts by Regression on Population, Affluence and Technology(STIRPAT) model was used to predict the trends of agricultural carbon emission in the province from 2020 to 2030. The results indicated that the CO2e emissions of Jiangsu Province from 2000 to 2019 showed a trend of decreasing-increasing-decreasing, and reached a peak in 2005, which is estimated to be 83 617 700 tons, of which the planting industry and animal husbandry were in 2010 and 2003, respectively. In 2005, the planting industry''s emissions were much higher than that of the animal husbandry industry. The intensity of agricultural CO2e emission firstly increased and then decreased. After 2003, the intensity of emissions decreased year after year, and by 2019 it had reduced to 131 t·million yuan-1. Among the various carbon sources, rice cultivation was the largest source of agricultural carbon emissions in the province, and among the major livestock and poultry, the carbon emissions caused by pig breeding were much higher than for other livestock and poultry. From 2020 to 2030, with the development of urbanization, the increase of agricultural per capita gross domestic product(GDP) and the further reduction of agricultural carbon emission intensity, the province'' s agricultural CO2e emissions will still show a downward trend. Low-carbon emission reduction and efficient agricultural economic development will also contribute toward this. Studies have shown that agriculture in Jiangsu Province has taken the lead in achieving carbon peaks, and the continued reduction of agricultural carbon emissions in the future will help accelerate the realization of the province''s carbon neutral goals.
Keywords:Jiangsu Province  agricultural carbon emissions  planting industry  animal husbandry  carbon emission peak  carbon neutral
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