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快速城市化对印度尼西亚三宝垄大都市区基于土地利用的碳排放和地表温度变化的空间动态的影响。

Impacts of rapid urbanization on spatial dynamics of land use-based carbon emission and surface temperature changes in the Semarang Metropolitan Region, Indonesia.

机构信息

Doctoral Program in Architecture and Urbanism, Universitas Diponegoro, Semarang, Indonesia.

Department of Urban and Regional Planning, Faculty of Engineering, Universitas Diponegoro, Semarang, Indonesia.

出版信息

Environ Monit Assess. 2023 Jan 3;195(2):259. doi: 10.1007/s10661-022-10839-6.

DOI:10.1007/s10661-022-10839-6
PMID:36595039
Abstract

This study explores the relationship between carbon emission patterns and the land surface temperature (LST) changes due to the rapid urbanization in the Semarang Metropolitan Region (SMR), an Indonesian area that has experienced rapid urban growth compared to other urban areas. This research used the stock-difference and gain-loss methods to calculate carbon stocks and emissions. Then, band 6 on Landsat 5 TM (2008) and band 10 on Landsat 8 OLI (2013 and 2018) were used to calculate the LST changes. These results showed that the peri-urban area had a more significant change. The correlation between carbon emissions and an increased SMR temperature correlates to 0.646. This shows that the carbon emissions pattern promotes temperature dynamics in the SMR. Furthermore, this study proved the release of carbon emissions in line with LST dynamics spatially. In this case, this study proved that rapid urbanization in the SMR promotes both carbon emission and LST. Those changes are also affected by vegetation canopy availability and other activities. As a result, the government must prioritize spatial planning in the SMR to mitigate environmental change risk. In addition, the government must develop novel strategies to deal with a wide range of fast and unpredictable potential changes in the urban area and its surroundings.

摘要

本研究探讨了由于三宝垄大都市区(SMR)的快速城市化,导致碳排放模式与地表温度(LST)变化之间的关系。与其他城市地区相比,印度尼西亚的 SMR 经历了快速的城市增长。本研究使用存量-差值和增减方法来计算碳储量和排放。然后,使用 Landsat 5 TM(2008 年)的波段 6 和 Landsat 8 OLI(2013 年和 2018 年)的波段 10 来计算 LST 的变化。结果表明,近郊区的变化更为显著。碳排放量与 SMR 温度升高之间的相关性为 0.646。这表明碳排放模式促进了 SMR 的温度动态变化。此外,本研究证明了碳排放与 LST 动态的空间释放一致。在这种情况下,本研究证明了 SMR 的快速城市化既促进了碳排放,也促进了 LST。这些变化还受到植被冠层可用性和其他活动的影响。因此,政府必须在 SMR 中优先考虑空间规划,以减轻环境变化的风险。此外,政府必须制定新的策略来应对城市及其周边地区快速和不可预测的潜在变化。

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