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      Spatial and temporal characteristic of PM2.5 and influence factors in the Yellow River Basin

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          Abstract

          The Yellow River Basin has been instrumental in advancing ecological preservation and fostering national high-quality development. However, since the advent of China’s reform and opening-up policies, the basin has faced severe environmental pollution issues. This study leverages remote sensing data from 1998 to 2019. As per the “Basin Scope and Its Historical Changes” published by the Yellow River Conservancy Commission of the Ministry of Water Resources, the Yellow River Basin is categorized into upstream, midstream, and downstream regions for analysis of their spatial and temporal distribution traits using spatial autocorrelation methods. Additionally, we employed probes to study the effects of 10 factors, including mean surface temperature and air pressure, on PM2.5. The study findings reveal that (1) the annual average concentration of PM2.5 in the Yellow River Basin exhibited a fluctuating trend from 1998 to 2019, initially increasing, then decreasing, followed by another increase before ultimately declining. (2) The air quality in the Yellow River Basin is relatively poor, making it challenging for large-scale areas with low PM2.5 levels to occur. (3) The PM2.5 concentration in the Yellow River Basin exhibits distinct high and low-value concentration areas indicative of air pollution. Low-value areas are predominantly found in the sparsely populated central and southwestern plateau regions of Inner Mongolia, characterized by a better ecological environment. In contrast, high-value areas are prevalent in the inland areas of Northwest China, with poorer natural conditions, as well as densely populated zones with high energy demand and a relatively developed economy. (4) The overall population density in the Yellow River Basin, as well as in the upstream, midstream, and downstream regions, serves as a primary driving factor. (5) The primary drivers in the middle reaches and the entire Yellow River Basin remain consistent, whereas those in the upper and lower reaches have shifted. In the upstream, air pressure emerges as a primary driver of PM2.5, while in the downstream, NDVI and precipitation become the main influencing factors.

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          Most cited references43

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          The health effects of ambient PM2.5 and potential mechanisms

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            Regional Estimates of Chemical Composition of Fine Particulate Matter using a Combined Geoscience-Statistical Method with Information from Satellites, Models, and Monitors

            An accurate fine-resolution surface of the chemical composition of fine particulate matter (PM2.5) would offer valuable information for epidemiological studies and health impact assessments. We develop geoscience-derived estimates of PM2.5 composition from a chemical transport model (GEOS-Chem) and satellite observations of aerosol optical depth, and statistically fuse these estimates with ground-based observations using a geographically weighted regression over North America to produce a spatially complete representation of sulfate, nitrate, ammonium, black carbon, organic matter, mineral dust, and sea-salt over 2000-2016. Significant long-term agreement is found with cross-validation sites over North America (R2 = 0.57-0.96), with the strongest agreement for sulfate (R2 = 0.96), nitrate (R2 = 0.90), and ammonium (R2 = 0.86). We find that North American decreases in population-weighted fine particulate matter (PM2.5) concentrations since 2000 have been most heavily influenced by regional changes in sulfate and organic matter. Regionally, the relative importance of several chemical components are found to change with PM2.5 concentration, such as higher PM2.5 concentrations having a larger proportion of nitrate and a smaller proportion of sulfate. This data set offers information for research into the health effects of PM2.5 chemical components.
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              Global Estimates and Long-Term Trends of Fine Particulate Matter Concentrations (1998–2018)

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                Author and article information

                Contributors
                Role: Role: Role: Role: Role: Role: Role:
                URI : https://loop.frontiersin.org/people/2688552/overviewRole: Role: Role: Role: Role: Role:
                Role: Role: Role: Role:
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                URI : https://loop.frontiersin.org/people/2035392/overviewRole: Role: Role: Role:
                Journal
                Front Public Health
                Front Public Health
                Front. Public Health
                Frontiers in Public Health
                Frontiers Media S.A.
                2296-2565
                31 July 2024
                2024
                : 12
                : 1403414
                Affiliations
                [1] 1School of Computer Science and Technology, Zhengzhou University of Light Industry , Zhengzhou, China
                [2] 2Key Laboratory for Synergistic Prevention of Water and Soil Environmental Pollution, Xinyang Normal University , Xinyang, China
                Author notes

                Edited by: Shani Tiwari, Council of Scientific and Industrial Research (CSIR), India

                Reviewed by: Bao-Jie He, Chongqing University, China

                Dahao Zhang, Sun Yat-sen University, China

                *Correspondence: Jiqiang Niu, niujiqiang@ 123456xynu.edu.cn
                Article
                10.3389/fpubh.2024.1403414
                11322098
                39145183
                a8258b7a-88e5-438e-a1b5-75eaae7d0849
                Copyright © 2024 Han, Han, Wang, Wang and Niu.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 19 March 2024
                : 15 July 2024
                Page count
                Figures: 9, Tables: 0, Equations: 3, References: 43, Pages: 15, Words: 8937
                Funding
                Funded by: Key Laboratory for Synergistic Prevention of Water and Soil Environmental Pollution, Xinyang Normal University
                Award ID: KLSPWSEP-A11
                Funded by: Key Scientific Research Projects of Colleges in Henan Province
                Award ID: 23A520001
                Award ID: 21A420007
                The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This research was funded by the [Key Laboratory for Synergistic Prevention of Water and Soil Environmental Pollution, Xinyang Normal University], grant number [KLSPWSEP-A11] and the [Key Scientific Research Projects of Colleges in Henan Province], grant number [23A520001 and 21A420007].
                Categories
                Public Health
                Original Research
                Custom metadata
                Environmental health and Exposome

                pm2.5,geodetector,driving factors,yellow river basin,zoning,spatiotemporal variation

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