城市碳源碳汇的时空格局变化研究——以宁波市为例
PDF下载 (212)朱 强,张志强,马松根,金 科,查芊郁,高 超.城市碳源碳汇的时空格局变化研究——以宁波市为例[J].宁波大学学报(理工版),2024,37(4):12-21.DOI:10.20098/j.cnki.1001-5132.2023.1244
ZHU Qiang,ZHANG Zhiqiang,MA Songgen,JIN Ke,ZHA Qianyu,GAO Chao.Research on the spatiotemporal pattern changes of urban carbon sources and sinks: a case study of Ningbo[J].Journal of Ningbo University(Natural Science & Engineering Edition),2024,37(4):12-21.DOI:10.20098/j.cnki.1001-5132.2023.1244
| Title: | Research on the spatiotemporal pattern changes of urban carbon sources and sinks: a case study of Ningbo |
| 作者: | 朱 强, 张志强, 马松根, 金 科, 查芊郁, 高 超 |
| Author(s): | ZHU Qiang, ZHANG Zhiqiang, MA Songgen, JIN Ke, ZHA Qianyu, GAO Chao |
| 关键词: | 碳源; 碳汇; 净碳排放强度; 时空格局 |
| Keywords: | carbon source; carbon sink; net carbon emission intensity; spatial and temporal patterns |
| 分类号: | F299.27 |
| DOI: | 10.20098/j.cnki.1001-5132.2023.1244 |
| 文献标识码: | A |
| 摘要: | 城市尺度的碳源碳汇核算及动态监测对实现碳中和发展路径至关重要. 基于2005—2020年宁波市土地利用数据和相关统计数据, 结合联合国政府间气候变化专门委员会(IPCC)碳排放核算法与InVEST模型的碳储量估算模块, 分析宁波市碳源碳汇的时空格局变化特征, 并提出了相应的碳平衡措施. 研究结果表明: (1)2005年以来宁波城市碳排放总量快速增加, 在2013年达到峰值(7.70×109 t), 总体维持在6.75×109 t左右; 工业部门是最大碳排放源, 占据了碳排放总量的80%以上. (2)2005—2020年宁波市碳储量先降后增, 到2010年缩减了0.10×109 t, 至2020年又增加了0.23×109 t, 累计增汇1.31×107 t; 用地类型中, 林地增汇效果最显著, 耕地较差. (3)在空间净碳排放强度方面, 宁波市核心区域的空间净碳排放强度增长更显著. 建议宁波市通过优化产业与能源结构、调整城市建设布局、加强生态修复等措施来减源增汇, 通过建立区域间的碳汇补偿机制, 营造低碳协调的发展环境. |
| Abstract: | Accounting and dynamic monitoring of carbon sources and sinks in cities are indispensable for realizing carbon-neutral development paths. Based on the time series of LUCC data and statistical data of various sectors in Ningbo from 2005 to 2020, this paper uses the IPCC carbon accounting method and the InVEST model to dynamically analyze the characteristics of changes in the spatial and temporal patterns of urban carbon sources and sinks in Ningbo since 2005, in an attempt to reveal its regional differences and carbon surplus. The results show that: (1) Since 2005, Ningbo’s total carbon emissions have increased rapidly, which reached 7.70×109 t in 2013, and then declined slightly, remained at around 6.75×109 t overall; among them, the industrial sector is the largest source of carbon emissions, accounting for more than 80% of the total carbon emissions. (2) Between 2005 and 2020, Ningbo’s carbon stock first declined and then increased, by 2010, it had decreased by 0.10×109 t, and by 2020, it had increased by 0.23×109 t, with a cumulative increase of 1.31×107 t; among land types, forest land has the most significant effect in increasing sinks, while arable land is less effective. (3) The spatial net carbon emission intensity has been growing faster in the core area of Ningbo than that in the peripheral areas. The Ningbo government should take measures to reduce carbon sources and increase carbon sinks, and promote the coordinated development of low carbon in all regions through the establishment of an inter-regional carbon sink compensation mechanism |
| 参考文献 /References: | [1] WIEDMANN T, ALLEN C. City footprints and SDGs provide untapped potential for assessing city sustainability[J]. Nature Communications, 2021, 12(1): 3758. [2] RAMASWAMI A, TONG K K, CANADELL J G, et al. Carbon analytics for net-zero emissions sustainable cities [J]. Nature Sustainability, 2021, 4:460-463. [3] 陈晓玲, 曾永年, 王慧敏. 区域土地利用总体规划碳效应分析: 以青海省海东市为例[J]. 中国人口·资源与环境, 2015, 25(增刊1):31-34. [4] 赵荣钦, 黄贤金, 揣小伟. 中国土地利用碳排放的研究误区和未来趋向[J]. 中国土地科学, 2016, 30(12):83- 92. [5] 方精云, 郭兆迪, 朴世龙, 等. 1981—2000年中国陆地植被碳汇的估算[J]. 中国科学(D辑), 2007, 37(6):804- 812. [6] XIAO H J, DUAN Z Y, ZHOU Y, et al. CO2 emission patterns in shrinking and growing cities: a case study of Northeast China and the Yangtze River Delta[J]. Applied Energy, 2019, 251:113384. [7] 陆大道. 中速增长: 中国经济的可持续发展[J]. 地理科学, 2015, 35(10):1207-1219. [8] WANG S J, GAO S, HUANG Y Y, et al. Spatiotemporal evolution of urban carbon emission performance in China and prediction of future trends[J]. Journal of Geographical Sciences, 2020, 30(5):757-774. [9] 郑欣, 程久苗, 郑硕. 基于土地利用结构变化的芜湖市碳排放及其影响因素研究[J]. 水土保持研究, 2012, 19(3):259-262, 268. [10] CHEN L C, GUAN X, LI H M, et al. Spatiotemporal patterns of carbon storage in forest ecosystems in Hunan Province, China[J]. Forest Ecology and Management, 2019, 432:656-666. [11] GOMES E, INÁCIO M, BOGDZEVIČ K, et al. Future land-use changes and its impacts on terrestrial ecosystem services: a review[J]. The Science of the Total Environment, 2021, 781:146716. [12] 周晟吕, 胡静, 李立峰. 崇明岛中长期碳排放预测及其影响因素分析[J]. 长江流域资源与环境, 2015, 24(4): 632-639. [13] 林剑艺, 孟凡鑫, 崔胜辉, 等. 城市能源利用碳足迹分析: 以厦门市为例[J]. 生态学报, 2012, 32(12):3782- 3794. [14] LIANG Y J, LIU L J, HUANG J J. Integrating the SD-CLUE-S and InVEST models into assessment of oasis carbon storage in northwestern China[J]. PLoS One, 2017, 12(2):e0172494. [15] 刘宥延, 刘兴元, 张博, 等. 基于InVEST模型的黄土高原丘陵区水源涵养功能空间特征分析[J]. 生态学报, 2020, 40(17):6161-6170. [16] 孙方虎, 方凤满, 洪炜林, 等. 基于PLUS和InVEST模型的安徽省碳储量演化分析与预测[J]. 水土保持学报, 2023, 37(1):151-158. [17] 吴佩君, 刘小平, 黎夏, 等. 基于InVEST模型和元胞自动机的城市扩张对陆地生态系统碳储量影响评估: 以广东省为例[J]. 地理与地理信息科学, 2016, 32(5): 22-28, 36. [18] 孙艳伟, 李加林, 李伟芳, 等. 海岛城市碳排放测度及其影响因素分析: 以浙江省舟山市为例[J]. 地理研究, 2018, 37(5):1023-1033. [19] 胡欢, 章锦河, 熊杰, 等. 河北省碳源碳汇测算及碳减排压力分析[J]. 地理与地理信息科学, 2016, 32(3):61- 67. [20] Intergovernmental Panel on Climate Change. 2006 IPCC guidelines for national greenhouse gas inventory[EB/OL]. [2023-10-10]. https://www.doc88.com/p-4743539885141. html. [21] CAI W B, PENG W T. Exploring spatiotemporal variation of carbon storage driven by land use policy in the Yangtze River Delta region[J]. Land, 2021, 10(11): 1120. [22] JACKSON R B, SCHENK H J, JOBBÁGY E G, et al. Belowground consequences of vegetation change and their treatment in models[J]. Ecological Applications, 2000, 10(2):470-483. [23] WANG J Z, ZHANG Q, GOU T J, et al. Spatial-temporal changes of urban areas and terrestrial carbon storage in the Three Gorges Reservoir in China[J]. Ecological Indicators, 2018, 95:343-352. [24] LI L, SONG Y, WEI X H, et al. Exploring the impacts of urban growth on carbon storage under integrated spatial regulation: a case study of Wuhan, China[J]. Ecological Indicators, 2020, 111:106064. [25] FU Q, XU L L, ZHENG H Y, et al. Spatiotemporal dynamics of carbon storage in response to urbanization: a case study in the Su-Xi-Chang region, China[J]. Processes, 2019, 7(11):836. [26] 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. [27] 黄卉. 基于InVEST模型的土地利用变化与碳储量研究[D]. 北京: 中国地质大学(北京), 2015. [28] 刘业轩, 石晓丽, 史文娇. 福建省森林生态系统水源涵养服务评估: InVEST模型与meta分析对比[J]. 生态学报, 2021, 41(4):1349-1361. [29] 义白璐, 韩骥, 周翔, 等. 区域碳源碳汇的时空格局:以长三角地区为例[J]. 应用生态学报, 2015, 26(4): 973-980. [30] 傅素英, 刘圣香. 基于LMDI模型的宁波市碳排放测算及影响因素分析[J]. 宁波大学学报(人文科学版), 2015, 28(2):77-81. [31] 李泽坤, 任丽燕, 马仁锋, 等. 基于效率视角的浙江省2030年碳排放配额分析[J]. 生态科学, 2020, 39(3):201- 211. [32] 严志翰, 任丽燕, 刘永强, 等. 浙江省碳排放时空格局及影响因素研究[J]. 长江流域资源与环境, 2017, 26(9): 1427-1435. |
| 备注/Memo: | 收稿日期: 2023−12−29. 宁波大学学报(理工版)网址: http://journallg.nbu.edu.cn/ 基金项目: 宁波市自然资源与规划局项目(ZJZC-223069-C). 第一作者: 朱强, 教授级高级工程师, 主要研究方向: 规划地理信息发展战略及相关政策. E-mail: 2586337441@qq.com *通信作者: 高超, 博士/教授, 主要研究方向: 城市碳中和战略. E-mail: gaoqinchao1@163.com 宁波大学学报(理工版)网址:http://journallg.nbu.edu.cn/ |