| 摘要: |
| 2020年中国明确提出2030年“碳达峰”与2060年“碳中和”目标，城市绿地是城市中唯一的、直接的自然碳汇，如何估算城市绿地碳储量对于实现“双碳”目标十分重要。以北京市海淀区五环内城市绿地为例，以高分二号遥感数据为信息源，在公园绿地、防护绿地、附属绿地、区域绿地4类绿地中分层抽取139个样地进行碳储量估算研究。研究发现各类样地碳储量值及归一化植被指数（NDVI）均存在显著差异，通过回归分析构建了4类绿地NDVI与碳储量的拟合模型，并另选40个检验样地，通过人工识别的碳储量数据检验回归模型的合理性，构建完善的城市绿地碳储量估算系统。估算结果表明，北京市海淀区五环内城市绿地固碳总量约为4.14万t，不同绿地类型碳汇能力存在一定差异，具体表现为公园绿地>附属绿地>区域绿地>防护绿地。研究对于指导全国各城市绿地碳储量的估算、实现碳中和具有重要意义。 |
| 关键词: 碳中和 城市绿地 碳储量 模型构建 |
| DOI：10.14085/j.fjyl.2022.05.0024.07 |
| 分类号:TU985 |
| 基金项目: |
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| Estimation and Application of Urban Green Space Carbon Storage Based on Remote Sensing Technology |
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YIN Weida, SU Junyi, XU Zhuoya, LIU Zhicheng
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Beijing Forestry University
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| Abstract: |
| In 2020, China explicitly put forward the goals of “carbon peaking” by 2030 and “carbon neutrality” by 2060. Urban green space is the only direct and natural carbon sink in cities, so how to estimate the carbon storage of urban green space is very important for achieving the carbon peaking and carbon neutrality goals. Taking the urban green space within the Fifth Ring Road of Haidian District, Beijing as an example, this research, with GF-2 remote sensing data as information source, selects 139 sample sites of park green space, protective green space, affiliated green space and regional green space by stratification for carbon storage estimation research. It is found that different types of sample sites are significantly different in both carbon storage value and normalized difference vegetation index (NDVI). In view of this, this research further builds a fitting model through regression analysis for NDVI and carbon storage of the four types of green spaces mentioned above, and selects another 40 test samples and, with artificially identified carbon storage data, examines the rationality of the regression model, with a view to building a perfect urban green space carbon storage estimation system. The estimation results show that the total amount of carbon storage of urban green space within the Fifth Ring Road of Haidian District is about 41,400 tons, and carbon sink capacity is different for different green space types, which can be expressed as follows: park green space > affiliated green space > regional green space > protective green space. This research is of great significance to guide the estimation of carbon storage of urban green space and realize carbon neutrality in various cities across the country. |
| Key words: carbon neutrality urban green space carbon storage model building |
| 引用本文: | 殷炜达,苏俊伊,许卓亚,刘志成.基于遥感技术的城市绿地碳储量估算应用[J].风景园林，2022，29（5）：24-30. |
| YIN Weida,SU Junyi,XU Zhuoya,LIU Zhicheng.Estimation and Application of Urban Green Space Carbon Storage Based on Remote Sensing Technology[J].Landscape Architecture Journal, 2022, 29(5):24-30. |
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