Integrating Spatiotemporal Analysis of Land Transformation and Urban Growth in Peshawar Valley and Its Implications on Temperature in Response to Climate Change

IF 2.8 3区 地球科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS
Muhammad Farooq Hussain, Xiaoliang Meng, Syed Fahim Shah, Muhammad Asif Hussain
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Abstract

Examining the interconnected dynamics of urbanization and climate change is crucial due to their implications for environmental, social, and public health systems. This study provides a comprehensive analysis of these dynamics in the Peshawar Valley, a rapidly urbanizing region in Khyber Pakhtunkhwa, Pakistan, over a 30-year period (1990–2020). A novel methodological framework integrating remote sensing, GIS techniques, and Google Earth Engine (GEE) was developed to analyze land use/land cover (LULC) changes, particularly the expansion of the built-up environment, along with the land surface temperature (LST) and heat index (HI). This framework intricately links these elements, providing a unique perspective on the environmental transformations occurring in the Peshawar Valley. Unlike previous studies that focused on individual aspects, this research offers a holistic understanding of the complex interplay between urbanization, land use changes, temperature dynamics, and heat index variations. Over three decades, urbanization expanded significantly, with built-up areas increasing from 6.35% to 14.13%. The population surged from 5.3 million to 12.6 million, coupled with significant increases in registered vehicles (from 0.171 million to 1.364 million) and operational industries (from 327 to 1155). These transitions influenced air quality and temperature dynamics, as evidenced by a highest mean LST of 30.30 °C and a maximum HI of 55.48 °C, marking a notable increase from 50.54 °C. These changes show strong positive correlations with built-up areas, population size, registered vehicles, and industrial activity. The findings highlight the urgent need for adaptive strategies, public health interventions, and sustainable practices to mitigate the environmental impacts of urbanization and climate change in the Peshawar Valley. Sustainable urban development strategies and climate change mitigation measures are crucial for ensuring a livable and resilient future for the region. This long-term analysis provides a robust foundation for future projections and policy recommendations.
白沙瓦山谷土地转型和城市发展的时空综合分析及其对应对气候变化的气温影响
由于城市化和气候变化对环境、社会和公共卫生系统的影响,研究城市化和气候变化的相互关联动态至关重要。本研究对巴基斯坦开伯尔巴图克瓦省快速城市化地区白沙瓦河谷 30 年间(1990-2020 年)的动态变化进行了全面分析。该研究开发了一个新颖的方法框架,将遥感、地理信息系统技术和谷歌地球引擎(GEE)整合在一起,用于分析土地利用/土地覆盖(LULC)的变化,特别是建筑环境的扩张,以及地表温度(LST)和热指数(HI)。该框架将这些要素错综复杂地联系在一起,为白沙瓦河谷的环境变化提供了一个独特的视角。与以往侧重于单个方面的研究不同,这项研究提供了对城市化、土地利用变化、气温动态和热指数变化之间复杂相互作用的整体理解。三十年来,城市化进程显著扩大,建成区面积从 6.35% 增加到 14.13%。人口从 530 万激增至 1260 万,注册车辆(从 17.1 万辆增至 136.4 万辆)和运营行业(从 327 个增至 1155 个)也随之大幅增加。这些变化影响了空气质量和气温动态,表现为最高平均 LST 为 30.30 °C,最高 HI 为 55.48 °C,与 50.54 °C相比明显上升。这些变化与建筑密集区、人口规模、注册车辆和工业活动呈强烈的正相关关系。研究结果突出表明,白沙瓦河谷迫切需要适应性战略、公共卫生干预措施和可持续实践,以减轻城市化和气候变化对环境的影响。可持续城市发展战略和气候变化减缓措施对于确保该地区未来的宜居性和复原力至关重要。这项长期分析为未来预测和政策建议奠定了坚实的基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
ISPRS International Journal of Geo-Information
ISPRS International Journal of Geo-Information GEOGRAPHY, PHYSICALREMOTE SENSING&nb-REMOTE SENSING
CiteScore
6.90
自引率
11.80%
发文量
520
审稿时长
19.87 days
期刊介绍: ISPRS International Journal of Geo-Information (ISSN 2220-9964) provides an advanced forum for the science and technology of geographic information. ISPRS International Journal of Geo-Information publishes regular research papers, reviews and communications. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. There is no restriction on the length of the papers. The full experimental details must be provided so that the results can be reproduced. The 2018 IJGI Outstanding Reviewer Award has been launched! This award acknowledge those who have generously dedicated their time to review manuscripts submitted to IJGI. See full details at http://www.mdpi.com/journal/ijgi/awards.
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