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重庆土地利用结构低碳优化及其风热环境变化

Effects of Land Use Optimization on Carbon Emissions and Wind–Thermal Environments in Chongqing

  • 摘要: 建设低碳、宜居新型城市是城市发展的新理念新趋势,在城市规划建设中同步考虑低碳排放和气候适应性改善,对降低城镇化进程中的气候变化影响、提高城市生活品质具有重要意义。本文以重庆经济技术开发区为试验区,基于线性规划对试验区2025年土地利用结构进行低碳优化,通过微尺度数值模式模拟土地利用低碳和空间优化后试验区1月(冬季)和7月(夏季)风热环境的变化。结果表明:(1)土地利用结构低碳优化后,试验区减少建设用地等碳源,增加了林地等碳汇,年土地碳排放总量减少12.1%,约为19.0×104吨。(2)低碳和空间优化改善了试验区通风环境,1月和7月平均风速分别增加0.7%和1.5%,局地最大增幅8.0%和11.0%;73.5%和79.3%的地段平均风速增加;日逐小时序列中分别有11个和20个时次平均风速增加。城市热岛趋于缓解,1月和7月平均气温分别下降1.3%和0.7%,局地最大降幅13.2%和5.0%;76.3%和76.2%的地段平均气温下降;日逐小时序列中所有时次平均气温都有所下降。对城市土地利用结构进行低碳和空间优化在一定程度上能够同时降低碳排放、改善风热环境、提高城市气候适应性,本研究可以为制定重庆经济社会发展规划目标和城市总体规划提供参考依据。

     

    Abstract: Constructing low-carbon and livable new cities is a new concept and trend in urban development. Simultaneously addressing low-carbon emissions and improving climate adaptability in urban planning and construction is crucial. This approach plays a key role in mitigating the impacts of climate change during urbanization and enhancing the overall quality of urban life. This study focuses on the Chongqing Economic and Technological Development Zone as the experimental area and applies linear programming to optimize the land use structure considering low-carbon goals for 2025. A micro-scale numerical model was used to simulate changes in the wind–thermal environment in the experimental area for both January and July 2025, following the optimization of land use for low-carbon and spatial efficiency. The results indicate the following. (1) After optimizing the land use structure for low-carbon goals, the experimental area reduced carbon sources, such as construction land, while increasing carbon sinks, such as forests. This led to a 12.1% reduction in total annual land carbon emissions, approximately 19.0 × 104 tons. (2) The combination of low-carbon and spatial optimization improved the ventilation environment in the experimental area. In January and July, the average wind speeds increased by 0.7% and 1.5%, respectively, with local maximum increases of 8.0% and 11.0%. The average wind speed increased at 73.5% and 79.3% of the locations, and an observed increase in average wind speed occurred at 11 and 20 time points in the daily hourly sequence, respectively. The urban heat island effect showed signs of alleviation, and average temperatures in January and July decreased by 1.3% and 0.7%, respectively, with maximum localized decreases of 13.2% and 5.0%. Average temperatures dropped at 76.3% and 76.2% of the locations, and all time points in the daily hourly sequence showed a decrease in average temperature. Optimizing the urban land use structure for both low-carbon and spatial efficiency has the potential to simultaneously reduce carbon emissions, improve the wind–thermal environment, and enhance urban climate adaptability. This study provides valuable insights for formulating goals related to Chongqing’s economic and social development planning and overall urban planning indicators.

     

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