估算微尺度土地利用/土地覆盖变化对孟加拉国拉杰沙希城市热舒适区的影响:基于地理信息系统和遥感的方法

IF 6 2区 工程技术 Q1 ENVIRONMENTAL SCIENCES
Md. Shakil Ar Salan , Mohammad Amir Hossain Bhuiyan
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引用次数: 0

摘要

城市的快速发展导致绿化覆盖率大幅下降,最终导致气温升高,城市热场变异指数(UTFVI)效应最强。拉杰沙希的热指数仅次于西南地区。因此,拉杰沙希市特别容易受到热浪的影响。在探索拉杰沙希的微尺度热条件方面还存在很大差距。本研究的主要目的是评估过去三十年(1992-2022 年)拉杰沙希市公司(RCC)地区四个主要城市化区域(即市中心、东部边缘区、西部边缘区和北部边缘区)的城市生态健康状况。利用地理信息系统(GIS)和遥感技术(RS)的综合方法对土地利用/土地覆盖(LULC)的变化、生态平衡及其对不同尺度热环境的影响进行了广泛分析。本次微尺度研究使用了空间分辨率为 30 米的 Landsat 卫星图像。在 ENVI 5.3 软件中,支持向量机(SVM)算法因其准确性和在图像分类中的普及性而被采用。根据特定的训练程序,使用 SVM 以五年为间隔对过去三十年的图像进行了分类。利用四种土地覆被指数来评估土地覆被导致的地表温度(LST)的地理和时间差异。使用社会科学统计软件包/程序(SPSS)对各种土地覆被指数与地表温度之间的关系进行了统计。在研究期间,城市面积总体增长了 53.61%,使城市面积从 1992 年的 2.32 平方公里(4.83%)集中到 2022 年的 28.09 平方公里(58.45%)。热舒适区(TCZ)的方向分析表明,在研究期间,由于东北至西北地区绿地的减少,热舒适环境显著下降。LULC 与 LST 之间的回归分析表明,水体和植被覆盖度之间存在显著的负相关关系(p < 0.05),而城市地区则呈正相关关系。受人口增长和经济发展等因素的影响,这种城市侵蚀导致舒适热区减少,加剧了城市热岛效应,影响了城市地区的生态可持续性。通过避免建筑密集区等集中的不透水表面,增加绿化覆盖率,城市发展可以有效缓解 LST 和 UTFVI 的影响。同样,LULC 的有效分布也能在很大程度上发挥关键作用。本研究的结果反映了通过成功实施城市规划技术来妥善解决可持续发展问题的必要性,这将有助于城市规划者和决策者制定有效的战略,以确保舒适的热环境。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Estimating impacts of micro-scale land use/land cover change on urban thermal comfort zone in Rajshahi, Bangladesh: A GIS and remote sensing based approach
Rapid urban growth causes significant decrease in green cover which ultimately results higher temperature and strongest Urban Thermal Field Variance Index (UTFVI) effect. Rajshahi has the highest heat index score after the southwest region. Hence, Rajshahi city is particularly vulnerable to heat waves. There is a major gap in exploring the micro-scale thermal conditions in Rajshahi. The primary purpose of this study is to evaluate urban ecological health in the four major urbanized zones of Rajshahi City Corporation (RCC) area namely, City Centre, Eastern Fringe, Western Fringe and Northern Fringe over the past three decades (1992–2022). Land Use/Land Cover (LULC) variations, ecological balance, and their effects on the thermal environment at various scales have all been extensively analyzed using an integrated approach of geographic information systems (GIS) and remote sensing (RS). Landsat satellite images with a 30 m spatial resolution were used to carry out this micro-scale study. In ENVI 5.3 software, the Support Vector Machines (SVM) algorithm was used for its accuracy and popularity in image classification. Images from the past three decades were classified at five-year intervals using SVM, relying on specific training procedures. Four land cover indices are utilized to assess the geographical and temporal differences in Land Surface Temperature (LST) caused by land cover. Statistical relationship between various land cover indices and LST was performed using Statistical Package/Program for Social Sciences (SPSS). The overall increase of urban area during the study period was 53.61 %, resulting in a concentration of 28.09 km2 of urban area (58.45 %) in 2022 from 2.32 km2 (4.83 %) of 1992. The directional analysis of Thermal Comfort Zone (TCZ) reveals a significant decrease of thermal comfort environment due to loss of green space in NE to NW region during the study period. The regression analysis among LULC and LST revealed significant negative relation (p < 0.05) for water body and vegetation cover while the relationship is positive for urban area which concluded that urban centres experienced the most substantial LST increases, as evidenced by the study's observation of a substantial increase in higher temperature zones. This urban encroachment, which is influenced by factors such as population growth and economic development, has resulted in a reduction in comfortable thermal zones, which has exacerbated the urban heat island effect and impacted the ecological sustainability of urban areas. By avoiding concentrated impermeable surfaces, such as built-up areas, and boosting green cover, urban development can effectively mitigate the effects of LST and UTFVI. Again, effective distribution of LULC can play a crucial role in mitigating the effects to a significant extent. The findings of this study reflect the necessity of proper sustainable solution through the successful implementation of urban planning techniques which would help urban planners and policymakers to create effective strategies in order to ensure comfortable thermal environment.
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来源期刊
Urban Climate
Urban Climate Social Sciences-Urban Studies
CiteScore
9.70
自引率
9.40%
发文量
286
期刊介绍: Urban Climate serves the scientific and decision making communities with the publication of research on theory, science and applications relevant to understanding urban climatic conditions and change in relation to their geography and to demographic, socioeconomic, institutional, technological and environmental dynamics and global change. Targeted towards both disciplinary and interdisciplinary audiences, this journal publishes original research papers, comprehensive review articles, book reviews, and short communications on topics including, but not limited to, the following: Urban meteorology and climate[...] Urban environmental pollution[...] Adaptation to global change[...] Urban economic and social issues[...] Research Approaches[...]
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