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秦岭陕西段农业碳排放时空分布特征与低碳化水平评价

Spatial and Temporal Distribution Characteristics of Agricultural Carbon Emission and Evaluation of Low-carbonization Level in Urban Areas of Shaanxi Province
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摘要 秦岭陕西段不同地区农业碳排放的时空分布特征与低碳化发展水平对我国如期完成“双碳”目标具有重要的战略意义。将秦岭陕西段6市农业作为研究单元,首先,从农作物耕作活动碳排放、畜牧养殖碳排放和农田土壤碳排放3个维度构建农业碳排放衍生指标体系,以此测算秦岭陕西段6市的农业碳排放量;其次,对农业碳排放时空分布特征进行分析,采用TOPSIS法对各地农业低碳化水平进行评价。结果显示,秦岭陕西段农业碳排放量时间上呈上升趋向,空间上分为4个区域,即商洛与安康处于轻型区域,汉中、西安属于中型区域,宝鸡属于重型区域,渭南处于超重型区域。2003-2022年间各地农业低碳化水平处于较低水平的是渭南,较高水平是商洛、安康与汉中。 The spatial and temporal distribution characteristics of agricultural carbon emissions and the level of low-carbon development in different regions of the Qinling Mountains in Shaanxi Province are of strategic importance for China to achieve the“double carbon”target on schedule.This study takes agriculture in six cities in the Shaanxi section of Qinling Mountains as the research unit.First,we construct an agricultural carbon emission derivation index system from three dimensions:carbon emission from crop cultivation activities,carbon emission from livestock breeding and carbon emission from farmland soil,so as to measure the agricultural carbon emission in six cities in the Qinling Mountains and Shaanxi Province.Second,the spatial and temporal distribution characteristics of agricultural carbon emissions are analyzed,and then the TOPSIS method are used to evaluate the level of agricultural low-carbonization in each region.The spatial distribution of agricultural carbon emissions in Shaanxi section of the Qinling Mountains is divided into three regions:Shangluo and Ankang are in the light region,Hanzhong and Xi’an are in the medium region,Baoji is in the heavy region,and Weinan is in the super heavy region.The low level of agricultural decarbonization between 2003 and 2022 is in Weinan,and the high level is in Shangluo,Ankang and Hanzhong.
作者 徐薇 毛永亮 衡筱 XU Wei;MAO Yongliang;HENG Xiao(School of Biological and Environmental Engineering,Xi’an University,Xi’an710065;College of Economics and Management,Northwest A&F University,Yangling,Shaanxi712100,China)
出处 《西北农林科技大学学报(社会科学版)》 CSSCI 北大核心 2024年第3期140-148,共9页 Journal of Northwest A&F University(Social Science Edition)
基金 陕西省科学技术厅创新能力支撑计划项目(2023-CX-RKX-105)。
关键词 农业碳排放 时空分布特征 低碳化化水平 TOPSIS法 agricultural carbon emission spatial and temporal distribution characteristics low-carbonization level Topsls method
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