2016-2020年中国PM2.5估算及其与二氧化氮和二氧化硫的关系

IF 3.7 1区地球科学 Q1 GEOGRAPHY, PHYSICAL

International Journal of Digital Earth Pub Date : 2024-09-02 DOI:10.1080/17538947.2024.2398055

Huangyuan Tan, Yumin Chen, Feiyue Mao, John P. Wilson, Tengfei Zhang, Xiana Cui, Zhanghui Li

引用次数: 0

摘要

地表颗粒物（PM2.5）的分布呈现出明显的时空模式，尤其具有空间集群效应。因此，解析空间特征至关重要。

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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PM2.5 estimation and its relationship with NO2 and SO2 in China from 2016 to 2020

The distribution of surface particulate matter (PM2.5) exhibits significant spatiotemporal patterns, especially with a spatial clustering effect. Therefore, resolving spatial characteristics is ess...

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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.