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江西省土地利用碳排放空间格局及碳平衡分区

杨静媛 张明 多玲花 肖圣 赵昱茜

杨静媛, 张明, 多玲花, 肖圣, 赵昱茜. 江西省土地利用碳排放空间格局及碳平衡分区[J]. 环境科学研究, 2022, 35(10): 2312-2321. doi: 10.13198/j.issn.1001-6929.2022.05.04
引用本文: 杨静媛, 张明, 多玲花, 肖圣, 赵昱茜. 江西省土地利用碳排放空间格局及碳平衡分区[J]. 环境科学研究, 2022, 35(10): 2312-2321. doi: 10.13198/j.issn.1001-6929.2022.05.04
YANG Jingyuan, ZHANG Ming, DUO Linghua, XIAO Sheng, ZHAO Yuxi. Spatial Pattern of Land Use Carbon Emissions and Carbon Balance Zoning in Jiangxi Province[J]. Research of Environmental Sciences, 2022, 35(10): 2312-2321. doi: 10.13198/j.issn.1001-6929.2022.05.04
Citation: YANG Jingyuan, ZHANG Ming, DUO Linghua, XIAO Sheng, ZHAO Yuxi. Spatial Pattern of Land Use Carbon Emissions and Carbon Balance Zoning in Jiangxi Province[J]. Research of Environmental Sciences, 2022, 35(10): 2312-2321. doi: 10.13198/j.issn.1001-6929.2022.05.04

江西省土地利用碳排放空间格局及碳平衡分区

doi: 10.13198/j.issn.1001-6929.2022.05.04
基金项目: 国家自然科学基金项目(No.41761090);江西生态文明建设制度研究中心项目(No.JXST2103);江西省社科基金“十四五”(2021年)地区项目(No.21DQ44)
详细信息
    作者简介:

    杨静媛(1998-),女,福建南平人,1263656957@qq.com

    通讯作者:

    张明(1976-),男,江西萍乡人,副教授,硕士,从事土地信息系统及土地评价研究,mzhang@ecut.edu.cn

  • 中图分类号: X22

Spatial Pattern of Land Use Carbon Emissions and Carbon Balance Zoning in Jiangxi Province

Funds: National Natural Science Foundation of China (No.41761090); Jiangxi Ecological Civilization Construction System Research Center Project, China (No.JXST2103); Jiangxi Provincial Social Science Foundation of the ‘14th Five-Year Plan’ (2021) Regional Projects, China (No.21DQ44)
  • 摘要: 二氧化碳浓度升高,导致全球气候变暖,生态环境问题逐渐凸显. 为此,绿色、低碳和循环发展成为我国当前工作重点. 江西省作为长江经济带生态文明建设的重要节点,大规模的城镇化建设导致碳排放量增加. 鉴于此,基于土地利用和能源消费数据构建碳排放量计算模型,探究江西省2000—2018年的碳排放空间格局特征,通过基尼系数、经济贡献系数和生态承载系数等多种分析方法探讨区域内的碳排放空间差异以及碳收支情况,同时从经济和生态的角度进行碳平衡分区并提出针对性的策略. 结果表明:①江西省2000—2018年土地利用碳排放总量逐年上升,从1 215.687×104 t增至4 907.425×104 t,总体表现为净碳源,碳减排压力较大. ②江西省碳排放空间格局呈现北高南低、西高东低的特征,北部和西部地区的碳排放总量明显大于南部和东部地区,其碳排放总量与各区域内的土地利用结构以及能源消费结构密切相关. ③江西省历年的碳补偿率均低于34%且逐年递减,碳补偿率、经济贡献系数和生态承载系数三者均空间差异明显,其中北部地区的碳补偿率低于南部地区,南部地区、东北地区的经济贡献率和生态承载系数高于西部地区. ④基于碳平衡分析,根据净碳排放量、生态承载系数等指标将江西省各地级市划分为4个碳排放发展功能区域,即碳汇功能区、低碳经济区、碳强度控制区、高碳优化区. 研究期内碳汇功能区数量变化较大,逐渐转为低碳经济区;碳强度控制区和高碳优化区数量基本无变化. 研究显示,江西省土地利用碳排放空间差异显著,协同减排的困难较大,为此根据碳平衡分区调整土地利用结构,有利于促进区域协同减排,推动全省低碳经济的发展,缓解因碳排放引起的全球气候变化问题.

     

  • 图  1  2018年江西省土地利用现状

    Figure  1.  Land use status map of Jiangxi Province in 2018

    图  2  2000—2018年江西省净碳排放量和增长率趋势

    Figure  2.  Net carbon emissions and growth rate trends in Jiangxi Province from 2000 to 2018

    图  3  2000—2018年江西省各地级市净碳排放量的空间分布

    Figure  3.  Spatial distribution of net carbon emissions by municipalities in Jiangxi Province from 2000 to 2018

    图  4  2000—2018年江西省各地级市的净碳排放增量

    Figure  4.  Net carbon emission increment by municipalities in Jiangxi Province from 2000 to 2018

    图  5  江西省土地利用碳补偿率和基尼系数的变化

    Figure  5.  Changes of carbon offset rate and Gini coefficient of land use in Jiangxi Province

    图  6  2000年和2018年江西省经济贡献系数、生态承载系数的空间分布

    Figure  6.  Spatial distribution of economic contribution coefficient and ecological carrying coefficient of Jiangxi Province in 2000 and 2018

    图  7  2000—2018年江西省碳平衡分区

    Figure  7.  Carbon balance zoning in Jiangxi Province from 2000 to 2018

    表  1  碳排放转换系数

    Table  1.   Table of carbon emission conversion factors

    碳源折算标准煤系数1)/(t/t)碳排放系数2)
    原煤消费量0.714 30.755 9
    焦炭0.971 40.855 0
    汽油1.471 40.553 8
    柴油1.457 10.592 1
    燃料油1.428 60.618 5
    煤油1.471 40.571 4
    液化石油气1.714 30.504 2
    洗精煤0.900 00.755 9
    注:1)来自《中国能源统计年鉴》;2)来自《IPCC国家温室气体清单指南》.
    下载: 导出CSV

    表  2  2000—2018年江西省不同土地利用类型的碳排放

    Table  2.   Carbon emissions of different land use types in Jiangxi Province from 2000 to 2018

    年份碳源/(104 t)碳汇/(104 t)净碳排放量
    建设用地耕地碳排放总量林地草地水域未利用地碳吸收总量
    20001 610.112224.9871 835.099−600.789−1.504−17.073−0.046−619.4121 215.687
    20052 913.439224.1823 137.621−600.603−1.47−17.528−0.032−619.6332 517.988
    20104 498.651223.3914 722.042−601.544−1.43−17.394−0.035−620.4034 101.639
    20155 116.077221.325 337.397−596.978−1.504−17.54−0.034−616.0564 721.341
    20185 301.726218.5865 520.312−593.242−1.506−18.112−0.027−612.8874 907.425
    下载: 导出CSV

    表  3  2000—2018年江西省各地级市净碳排放量

    Table  3.   Net carbon emissions of municipalities in Jiangxi Province from 2000 to 2018

    城市净碳排放量/(104 t)
    2000年2005年2010年2015年2018年
    南昌市189.098327.624392.863396.097429.925
    景德镇市132.487210.28202.082484.79371.685
    萍乡市179.801432.096807.754654.816437.744
    九江市395.082574.217761.1281 011.0351 368.008
    新余市251.888456.292814.407810.744716.392
    鹰潭市84.689120.833105.300192.53221.192
    赣州市−98.298−90.86238.74242.17890.891
    吉安市−31.34272.357183.702177.278178.772
    宜春市157.852391.437623.175731.51632.418
    抚州市−32.529−24.295−26.949−23.214220.343
    上饶市−13.04148.009199.435243.577240.055
    下载: 导出CSV

    表  4  碳平衡分区特征

    Table  4.   Characteristics of carbon balance zoning

    碳平衡分区划分依据区域特征
    碳汇功能区 ECC>1、ESC>1、CA>Ci 碳排放经济贡献效率和生态贡献系数都比较高,总体上碳吸收量大于碳排放量,呈现出碳汇功能,固碳能力强
    低碳经济区 ECC>1、ESC>1、CA<Ci 碳排放经济贡献效率和生态贡献系数较高,但碳吸收量小于碳排放量,净碳排放总量略低
    碳强度控制区 ECC>1、ESC<1、CA<Ci 碳排放经济贡献较高,但生态承载水平偏低,碳吸收量小于碳排放量,净碳排放量偏高
    高碳优化区 ECC<1、ESC<1、CA<Ci 净碳排放总量极高,且碳排放经济贡献和生态承载系数水平均较低
    注:CA为碳吸收量,Cii市的碳排放量.
    下载: 导出CSV
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