甘肃省实现“双碳”目标的情景模拟及对策建议
收稿日期: 2023-02-08
修回日期: 2023-03-12
网络出版日期: 2023-08-14
基金资助
国家自然科学基金面上项目(42271288);科技部第二次青藏高原科学考察项目(2019QZKK0405);甘肃省自然科学基金项目(21JR7RA505);中国科学院“西部之光”项目(E0290906)
Scenario simulation and countermeasure suggestions for achieving the "carbon peaking and carbon neutrality goals" in Gansu province
Received date: 2023-02-08
Revised date: 2023-03-12
Online published: 2023-08-14
核算区域的碳排放和碳汇量,分析其影响因素并预测未来变化情况,对区域适应气候变化和实现“双碳”目标具有重要的指导意义。本研究基于LMDI模型、STIRPAT模型、FLUS-InVEST模型等定量分析甘肃省碳排放与碳汇的现状特征及模拟未来变化情景,并定性讨论甘肃省减排增汇过程中可能遇到的挑战与机遇,提出甘肃省实现“双碳”目标的路径及具体的对策建议。结果表明:(1)甘肃省碳排放呈上升趋势,二次产业是排放大户。(2)经济产出是甘肃省碳排放增长的主导因素。(3)在全面优化情景下甘肃省碳排放如期达峰,减排效果最为理想。(4)甘肃省短期内新增碳汇缺口较大,难以抵消全部的碳排放。建议甘肃省实现“双碳”目标宜分两阶段进行,减排和增汇多措并举并优化经济发展、产业结构和能源消费等。
马楠 , 邓晓红 , 李宗省 , 马镇邦 , 闫淑霖 , 裴惠娟 . 甘肃省实现“双碳”目标的情景模拟及对策建议[J]. 中国沙漠, 2023 , 43(5) : 66 -73 . DOI: 10.7522/j.issn.1000-694X.2023.00042
The work of accounting of carbon emissions and sinks, along with impact factor analysis and future projection, is of great importance for regions to adapt to climate change and achieve carbon peak and carbon neutrality targets. This study first quantitatively analyzed and simulated the current characteristics and future scenarios of carbon emissions and carbon sinks in Gansu province based on the LMDI model, STIRPAT model, and FLUS-InVEST model. Then qualitatively discussed the possible challenges and opportunities in the process of reducing emissions and increasing sinks in Gansu province, and finally proposed a pathway and specific countermeasure suggestions for Gansu province to achieve its carbon peak and carbon neutral targets. The results show that: (1) Gansu province's carbon emissions are on the rise, and secondary industries are the major contributors to carbon emissions. (2) Economic output is the dominant factor in the growth of carbon emissions in Gansu province. (3) Under the full optimization scenario, Gansu province's carbon emissions peak in 2030 as scheduled, and the emission reduction effect is the most satisfactory. (4) Gansu Province has a significant gap in newly added carbon sinks in the short term, making it difficult to offset all carbon emissions. It is recommended that Gansu province's pathway to achieve its carbon peak and carbon neutral targets be carried out in two stages, with multiple measures to reduce carbon emissions and increase carbon sinks and optimize economic development, industry structure and energy consumption.
Key words: carbon neutrality; carbon reduction; LMDI; STIRPAT; Gansu province
1 | 方精云,朱江玲,石岳.生态系统对全球变暖的响应[J].科学通报,2018,63(2):136-140. |
2 | 郑艳.全球应对气候变化灾害风险的进展与对策[J].人民论坛,2022(14):24-27. |
3 | 张伟,张金锁,邹绍辉,等.基于LMDI的陕西省能源消费碳排放因素分解研究[J].干旱区资源与环境,2013,27(9):26-31. |
4 | 许蕊,黄贤金,王佩玉,等.黄河流域国土空间碳中和度研究:以内蒙古段为例[J].生态学报,2022,42(23):9651-9662. |
5 | 邵帅,杨莉莉,曹建华.工业能源消费碳排放影响因素研究:基于STIRPAT模型的上海分行业动态面板数据实证分析[J].财经研究,2010,36(11):16-27. |
6 | 赵选民,卞腾锐.基于LMDI的能源消费碳排放因素分解:以陕西省为例[J].经济问题,2015(2):35-39. |
7 | 张剑,刘景洋,董莉,等.中国能源消费CO2排放的影响因素及情景分析[J].环境工程技术学报,2023,13(1):71-78. |
8 | 黄蕊,王铮,丁冠群,等.基于STIRPAT模型的江苏省能源消费碳排放影响因素分析及趋势预测[J].地理研究,2016,35(4):781-789. |
9 | 王利兵,张赟.中国能源碳排放因素分解与情景预测[J].电力建设,2021,42(9):1-9. |
10 | 王长建,汪菲,张虹鸥.新疆能源消费碳排放过程及其影响因素:基于扩展的Kaya恒等式[J].生态学报,2016,36(8):2151-2163. |
11 | 王明星.关于温室气体浓度变化及其引起的气候变化的几个问题[J].气候与环境研究,2000(3):329-332. |
12 | 杨元合,石岳,孙文娟,等.中国及全球陆地生态系统碳源汇特征及其对碳中和的贡献[J].中国科学:生命科学,2022,52(4):534-574. |
13 | 陶波,葛全胜,李克让,等.陆地生态系统碳循环研究进展[J].地理研究,2001(5):564-575. |
14 | 陈雪萍,赵学勇,王瑞雄,等.气候变化与土地利用/覆被变化对中国北方农牧交错带水资源影响研究进展[J].中国沙漠,2022,42(3):170-177. |
15 | 柯新利,唐兰萍.城市扩张与耕地保护耦合对陆地生态系统碳储量的影响:以湖北省为例[J].生态学报,2019,39(2):672-683. |
16 | 刘孟竹,王彦芳,裴宏伟.退耕还林(草)背景下中国北方农牧交错带土地利用及碳储量变化[J].中国沙漠,2021,41(1):174-182. |
17 | 邓喆,丁文广,蒲晓婷,等.基于InVEST模型的祁连山国家公园碳储量时空分布研究[J].水土保持通报,2022,42(3):324-334. |
18 | 任玺锦,裴婷婷,陈英,等.基于碳密度修正的甘肃省土地利用变化对碳储量的影响[J].生态科学,2021,40(4):66-74. |
19 | 刘洋,张军,周冬梅,等.基于InVEST模型的疏勒河流域碳储量时空变化研究[J].生态学报,2021,41(10):4052-4065. |
20 | Zhou J J, Zhao Y R, Huang P,et al.Impacts of ecological restoration projects on the ecosystem carbon storage of inland river basin in arid area,China[J].Ecological Indicators,2020,118:106803. |
21 | 杨洁,谢保鹏,张德罡.基于InVEST和CA-Markov模型的黄河流域碳储量时空变化研究[J].中国生态农业学报(中英文),2021,29(6):1018-1029. |
22 | 刘晓娟,黎夏,梁迅,等.基于FLUS-InVEST模型的中国未来土地利用变化及其对碳储量影响的模拟[J].热带地理,2019,39(3):397-409. |
23 | 宋德勇,卢忠宝.中国碳排放影响因素分解及其周期性波动研究[J].中国人口·资源与环境,2009,19(3):18-24. |
24 | York R, Rosa E A, Dietz T.STIRPAT,IPAT and ImPACT: analytic tools for unpacking the driving forces of environmental impacts[J].Ecological Economics,2003,46(3):351-365. |
25 | 甘肃省国民经济和社会发展第十四个五年规划和二○三五年远景目标纲要[Z].甘肃省人民政府,2021. |
26 | 李平,娄峰,王宏伟.2016-2035年中国经济总量及其结构分析预测[J].中国工程科学,2017,19(1):13-20. |
27 | Liu X P, Liang X, Li X,et al.A future land use simulation model (FLUS) for simulating multiple land use scenarios by coupling human and natural effects[J].Landscape and Urban Planning,2017,168:94-116. |
28 | 张捷,石柳,赵秀娟.广东省终端能源消费碳排放增长的驱动因素[J].技术经济,2014,33(5):64-71. |
29 | 牛君,程智超.基于STIRPAT模型的甘肃省碳达峰预测[J].开发研究,2022(4):123-132. |
30 | 王星,刘高理.甘肃省人口规模、结构对碳排放影响的实证分析:基于扩展的STIRPAT模型[J].兰州大学学报(社会科学版),2014,42(1):127-132. |
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