• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

印度尼西亚爪哇岛城市增长、地表城市热岛及城市热状况的综合时空评估及其对城市规划的启示

Comprehensive spatiotemporal evaluation of urban growth, surface urban heat island, and urban thermal conditions on Java island of Indonesia and implications for urban planning.

作者信息

Fajary Faiz Rohman, Lee Han Soo, Kubota Tetsu, Bhanage Vinayak, Pradana Radyan Putra, Nimiya Hideyo, Putra I Dewa Gede Arya

机构信息

Transdisciplinary Science and Engineering Program, Graduate School of Advanced Science and Engineering, Hiroshima University, 1-5-1 Kagamiyama, Higashi-Hiroshima, 739-8529, Hiroshima, Japan.

Atmospheric Science Research Group, Faculty of Earth Science and Technology, Institut Teknologi Bandung, Bandung, 40132, West Java, Indonesia.

出版信息

Heliyon. 2024 Jun 27;10(13):e33708. doi: 10.1016/j.heliyon.2024.e33708. eCollection 2024 Jul 15.

DOI:10.1016/j.heliyon.2024.e33708
PMID:39055807
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11269843/
Abstract

Urban heat island (UHI) and thermal comfort conditions are among the impacts of urbanization, which have been extensively studied in most cities around the world. However, the comprehensive studies in Indonesia in the context of urbanization is still lacking. This study aimed to classify land use and land cover (LULC) and analyse urban growth and its effects on surface urban heat islands (SUHIs) and urban thermal conditions as well as contributing factors to SUHI intensity (SUHII) using remote sensing in the western part of Java Island and three focused urban areas: the Jakarta metropolitan area (JMA), the Bandung and Cimahi Municipalities (BC), and the Sukabumi Municipality (SKB). Landsat imagery from three years was used: 2000, 2009, and 2019. Three types of daytime SUHII were quantified, namely the SUHII of urban central area and two SUHIIs of urban sprawl area. In the last two decades, urban areas have grown by more than twice in JMA and SKB and nearly 1.5 times in BC. Along with the growth of the three cities, the SUHII in the urban central area has almost reached a magnitude of 6 °C in the last decade. Rates of land surface temperature change of the unchanged urban pixels have magnitudes of 0.25, 0.15, and 0.14 °C/year in JMA, SKB, and BC, respectively. The urban thermal field variance index (UTFVI) and discomfort index (DI) showed that the strongest SUHI effect was most prevalent in urban pixels and the regions were mostly in the and categories. Anthropogenic heat flux and urban ratio have positive contributions to SUHII variation, while vegetation and water ratios are negative contributors to SUHII variation. For each city, the contributing factors have a unique magnitude that can be used to evaluate SUHII mitigation options.

摘要

城市热岛(UHI)和热舒适状况是城市化的影响因素之一,在世界上大多数城市都已得到广泛研究。然而,印度尼西亚在城市化背景下的综合研究仍然不足。本研究旨在利用遥感技术对爪哇岛西部以及三个重点城市地区(雅加达大都市区(JMA)、万隆和芝马希市(BC)以及茂物市(SKB))的土地利用和土地覆盖(LULC)进行分类,并分析城市增长及其对地表城市热岛(SUHIs)和城市热状况的影响,以及SUHI强度(SUHII)的影响因素。使用了来自2000年、2009年和2019年这三年的陆地卫星图像。对三种类型的白天SUHII进行了量化,即城市中心区域的SUHII和城市蔓延区域的两种SUHII。在过去二十年中,JMA和SKB的城市面积增长了两倍多,BC的城市面积增长了近1.5倍。随着这三个城市的发展,城市中心区域的SUHII在过去十年中几乎达到了6°C的幅度。JMA、SKB和BC中未变化的城市像素的地表温度变化率分别为每年0.25°C、0.15°C和0.14°C。城市热场方差指数(UTFVI)和不适指数(DI)表明,最强的SUHI效应在城市像素中最为普遍,这些区域大多属于 和 类别。人为热通量和城市比率对SUHII变化有正向贡献,而植被和水的比率对SUHII变化有负向贡献。对于每个城市,影响因素具有独特的幅度,可用于评估SUHII缓解方案。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/94fa/11269843/f748fd08ff6c/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/94fa/11269843/2775e2bbd9c8/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/94fa/11269843/a2eb92cc78c6/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/94fa/11269843/69f3f366c488/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/94fa/11269843/4a44d7690dac/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/94fa/11269843/46ed209a3dbb/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/94fa/11269843/9354115bddc6/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/94fa/11269843/cc4cc611938e/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/94fa/11269843/f748fd08ff6c/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/94fa/11269843/2775e2bbd9c8/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/94fa/11269843/a2eb92cc78c6/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/94fa/11269843/69f3f366c488/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/94fa/11269843/4a44d7690dac/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/94fa/11269843/46ed209a3dbb/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/94fa/11269843/9354115bddc6/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/94fa/11269843/cc4cc611938e/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/94fa/11269843/f748fd08ff6c/gr8.jpg

相似文献

1
Comprehensive spatiotemporal evaluation of urban growth, surface urban heat island, and urban thermal conditions on Java island of Indonesia and implications for urban planning.印度尼西亚爪哇岛城市增长、地表城市热岛及城市热状况的综合时空评估及其对城市规划的启示
Heliyon. 2024 Jun 27;10(13):e33708. doi: 10.1016/j.heliyon.2024.e33708. eCollection 2024 Jul 15.
2
Impact of urban land use and land cover change on urban heat island and urban thermal comfort level: a case study of Addis Ababa City, Ethiopia.城市土地利用与土地覆盖变化对城市热岛及城市热舒适度的影响:以埃塞俄比亚亚的斯亚贝巴市为例
Environ Monit Assess. 2022 Sep 7;194(10):736. doi: 10.1007/s10661-022-10414-z.
3
Quantitative assessment of land surface temperature and vegetation indices on a kilometer grid scale.公里网格尺度下地表面温度和植被指数的定量评估。
Environ Sci Pollut Res Int. 2023 Oct;30(49):107236-107258. doi: 10.1007/s11356-023-27418-y. Epub 2023 May 9.
4
Ecological monitoring of urban thermal field variance index and determining the surface urban heat island effects in Lahore, Pakistan.巴基斯坦拉合尔市城市热场方差指数的生态监测与城市热岛效应的确定。
Environ Monit Assess. 2023 Sep 14;195(10):1212. doi: 10.1007/s10661-023-11799-1.
5
Non-negligible clear-sky biases of satellite thermal infrared observations for analyzing surface urban heat island intensity: A case study in China.用于分析地表城市热岛强度的卫星热红外观测中不可忽视的晴空偏差:以中国为例的一项研究
Sci Total Environ. 2024 Nov 1;949:174928. doi: 10.1016/j.scitotenv.2024.174928. Epub 2024 Jul 29.
6
Anthropogenic forcing exacerbating the urban heat islands in India.人为因素加剧了印度的城市热岛效应。
J Environ Manage. 2020 Mar 1;257:110006. doi: 10.1016/j.jenvman.2019.110006. Epub 2019 Dec 24.
7
Research on the spatiotemporal coupling relationships between land use/land cover compositions or patterns and the surface urban heat island effect.土地利用/土地覆被组成或格局与地表城市热岛效应的时空耦合关系研究。
Environ Sci Pollut Res Int. 2022 Jun;29(26):39723-39742. doi: 10.1007/s11356-022-18838-3. Epub 2022 Feb 2.
8
Quantitative assessment and driving factors analysis of surface urban heat island of urban agglomerations in China based on GEE.基于 GEE 的中国城市群地表城市热岛的定量评估及驱动因子分析。
Environ Sci Pollut Res Int. 2024 Jul;31(34):47350-47364. doi: 10.1007/s11356-024-34205-w. Epub 2024 Jul 13.
9
Analysis of Long Time Series of Summer Surface Urban Heat Island under the Missing-Filled Satellite Data Scenario.缺失值填充卫星数据情景下夏季地表城市热岛长时间序列分析
Sensors (Basel). 2023 Nov 16;23(22):9206. doi: 10.3390/s23229206.
10
Interannual variations in surface urban heat island intensity and associated drivers in China.中国地表城市热岛强度的年际变化及其相关驱动因素。
J Environ Manage. 2018 Sep 15;222:86-94. doi: 10.1016/j.jenvman.2018.05.024. Epub 2018 May 25.

本文引用的文献

1
Can improving the spatial equity of urban green space mitigate the effect of urban heat islands? An empirical study.改善城市绿地的空间公平性能否缓解城市热岛效应?一项实证研究。
Sci Total Environ. 2022 Oct 1;841:156687. doi: 10.1016/j.scitotenv.2022.156687. Epub 2022 Jun 15.
2
Thermal comfort conditions at microclimate scale and surface urban heat island in a tropical city: A study on João Pessoa city, Brazil.热带城市小气候尺度下的热舒适条件与城市地表热岛效应:对巴西若昂佩索阿市的研究
Int J Biometeorol. 2022 Jun;66(6):1079-1093. doi: 10.1007/s00484-022-02260-y. Epub 2022 Apr 1.
3
Monitoring Urban Expansion and Loss of Agriculture on the North Coast of West Java Province, Indonesia, Using Google Earth Engine and Intensity Analysis.
利用谷歌地球引擎和强度分析监测印度尼西亚西爪哇省北岸的城市扩张和农业损失。
ScientificWorldJournal. 2022 Jan 12;2022:3123788. doi: 10.1155/2022/3123788. eCollection 2022.
4
Urban ecological land and natural-anthropogenic environment interactively drive surface urban heat island: An urban agglomeration-level study in China.城市生态用地与自然-人为环境交互驱动城市地表热岛效应:基于中国城市群尺度的研究
Environ Int. 2021 Dec;157:106857. doi: 10.1016/j.envint.2021.106857. Epub 2021 Sep 16.
5
Assessment of land use and land cover change detection and prediction using remote sensing and CA Markov in the northern coastal districts of Tamil Nadu, India.利用遥感和元胞自动机-马尔可夫模型对印度泰米尔纳德邦北部沿海地区土地利用和土地覆盖变化进行检测与预测
Environ Sci Pollut Res Int. 2022 Dec;29(57):86055-86067. doi: 10.1007/s11356-021-15782-6. Epub 2021 Sep 12.
6
Urban heat island (UHI) intensity and magnitude estimations: A systematic literature review.城市热岛(UHI)强度和幅度估算:系统文献综述。
Sci Total Environ. 2021 Jul 20;779:146389. doi: 10.1016/j.scitotenv.2021.146389. Epub 2021 Mar 17.
7
Surface urban heat islands in Italian metropolitan cities: Tree cover and impervious surface influences.意大利大都市区的地表城市热岛:树冠覆盖和不透水面的影响。
Sci Total Environ. 2021 Jan 10;751:142334. doi: 10.1016/j.scitotenv.2020.142334. Epub 2020 Sep 10.
8
Impact of urbanisation on urban heat island intensity during summer and winter over Indian metropolitan cities.城市化对印度主要城市夏季和冬季城市热岛强度的影响。
Environ Monit Assess. 2020 Jan 27;191(Suppl 3):789. doi: 10.1007/s10661-019-7692-9.
9
A new global gridded anthropogenic heat flux dataset with high spatial resolution and long-term time series.一个具有高空间分辨率和长期时间序列的新的全球网格化人为热通量数据集。
Sci Data. 2019 Jul 31;6(1):139. doi: 10.1038/s41597-019-0143-1.
10
Present and future Köppen-Geiger climate classification maps at 1-km resolution.目前和未来的 1 公里分辨率柯本-盖格尔气候分类图。
Sci Data. 2018 Oct 30;5:180214. doi: 10.1038/sdata.2018.214.