研究空气污染和绿地对韩国压力水平的共同影响：使用机器学习技术

IF 3.7 1区地球科学 Q1 GEOGRAPHY, PHYSICAL

International Journal of Digital Earth Pub Date : 2024-07-04 DOI:10.1080/17538947.2024.2372321

Khadija Ashraf, Yoo Min Park, Matthew H. E. M. Browning, Jue Wang, Ruoyu Wang, Kangjae Lee

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引用次数: 0

摘要

本研究调查了空气污染和不同类型的绿地（如混交林）对韩国压力水平的共同影响。研究考察了两个时期：在 COVID-19 计划实施之前；在 COVID-19 计划实施之后。

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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Examining the joint effect of air pollution and green spaces on stress levels in South Korea: using machine learning techniques

This study investigates the joint effect of air pollution and different types of green spaces (e.g. mixed forests) on stress levels in South Korea. Two periods were examined: before the COVID-19 pa...

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来源期刊

International Journal of Digital Earth 地学-遥感

CiteScore

6.50

自引率

3.90%

发文量

审稿时长

3 months

期刊介绍： The International Journal of Digital Earth is a response to this initiative. This peer-reviewed academic journal (SCI-E) focuses on the theories, technologies, applications, and societal implications of Digital Earth and those visionary concepts that will enable a modeled virtual world. The journal encourages papers that: Progress visions for Digital Earth frameworks, policies, and standards; Explore geographically referenced 3D, 4D, or 5D models to represent the real planet, and geo-data-intensive science and discovery; Develop methods that turn all forms of geo-referenced data, from scientific to social, into useful information that can be analyzed, visualized, and shared; Present innovative, operational applications and pilots of Digital Earth technologies at a local, national, regional, and global level; Expand the role of Digital Earth in the fields of Earth science, including climate change, adaptation and health related issues,natural disasters, new energy sources, agricultural and food security, and urban planning; Foster the use of web-based public-domain platforms, social networks, and location-based services for the sharing of digital data, models, and information about the virtual Earth; and Explore the role of social media and citizen-provided data in generating geo-referenced information in the spatial sciences and technologies.