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新疆主产棉区污染特征及减排措施分析。

Analysis of Pollution Characteristics and Emissions Reduction Measures in the Main Cotton Area of Xinjiang.

机构信息

College of New Energy and Environment, Jilin University, Changchun 130012, China.

Key Laboratory of Groundwater Resources and Environment, Ministry of Education, Jilin University, Changchun 130012, China.

出版信息

Int J Environ Res Public Health. 2023 Jan 27;20(3):2273. doi: 10.3390/ijerph20032273.

DOI:10.3390/ijerph20032273
PMID:36767639
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9915229/
Abstract

With cotton production in Xinjiang increasing annually, the impact on the environment of agricultural waste produced to improve production has been reflected. This study selected Bozhou of Xinjiang, the main cotton producing region in northern Xinjiang, as the research object, and collected hourly concentration data of six pollutants from 2017 to 2021, and analyzed the spatial and temporal distribution characteristics of each pollutant. At the same time, Morlet wavelet analysis was used to further analyze the variation period of PM (PM particles with aerodynamic diameters less than 2.5 μm) concentration. The Weather Research and Forecasting model coupled with the Community Multiscale Air Quality (WRF-CMAQ) model was used to evaluate the emissions reduction measures for the most polluted month. The results showed that the concentration of particulate matter (PM particles with aerodynamic diameters less than 2.5 μm and 10 μm) decreased from the southern mountains to the north; moreover, the concentrations of CO (carbon monoxide), NO (nitrogen dioxide), and SO (sulfur dioxide) in the suburbs were higher than those in the urban center. The concentration of O (Ozone) was the highest in summer, while the concentrations of other pollutants were high in autumn and winter. Under the time scale of a = 13, 24, PM had significant periodic fluctuation. The health risk values of PM and PM in this study were within the scope of the United States Environmental Protection Agency (USEPA) criteria, but it is still necessary to keep a close watch on them. In the context of emissions reduction measures, agricultural sources reduced by 20%, residential sources by 40%, industrial sources by 20%, and transportation sources by 20%; no change in the power source remains. Under these conditions, the daily average value of each pollutant met the first level of the national ambient air quality standard. The research results provide a reference for the local government to formulate heavy pollution emissions reduction policies.

摘要

随着新疆棉花产量逐年增加,提高产量所产生的农业废弃物对环境的影响已经显现。本研究选取新疆主产棉区北疆的博州作为研究对象,收集了 2017 年至 2021 年的六种污染物的逐时浓度数据,并对各污染物的时空分布特征进行了分析。同时,利用 Morlet 小波分析进一步分析了 PM(空气动力学直径小于 2.5μm 的颗粒物)浓度的变化周期。采用天气研究与预报模型耦合大气质量多尺度(WRF-CMAQ)模型,评估了最污染月份的减排措施。结果表明,颗粒物(空气动力学直径小于 2.5μm 和 10μm 的颗粒物)浓度从南部山区向北逐渐降低;此外,郊区 CO(一氧化碳)、NO(二氧化氮)和 SO(二氧化硫)的浓度高于城市中心。O(臭氧)浓度在夏季最高,而其他污染物浓度在秋季和冬季较高。在时间尺度 a = 13、24 下,PM 具有显著的周期性波动。本研究中 PM 和 PM 的健康风险值均在美国环保署(USEPA)标准范围内,但仍需密切关注。在减排措施方面,农业源减少 20%,居民源减少 40%,工业源减少 20%,交通源减少 20%;电源不变。在这些条件下,各污染物的日平均值均达到国家环境空气质量一级标准。研究结果为地方政府制定重污染减排政策提供了参考。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/33a9/9915229/d5afe8601bb0/ijerph-20-02273-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/33a9/9915229/9af6b2963e97/ijerph-20-02273-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/33a9/9915229/ade3f17fbc10/ijerph-20-02273-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/33a9/9915229/349065cdbe45/ijerph-20-02273-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/33a9/9915229/b591dbcc0109/ijerph-20-02273-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/33a9/9915229/86681abba34b/ijerph-20-02273-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/33a9/9915229/dbf91d890da7/ijerph-20-02273-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/33a9/9915229/87fa123f0941/ijerph-20-02273-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/33a9/9915229/3cbc0f6460ba/ijerph-20-02273-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/33a9/9915229/d5afe8601bb0/ijerph-20-02273-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/33a9/9915229/9af6b2963e97/ijerph-20-02273-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/33a9/9915229/ade3f17fbc10/ijerph-20-02273-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/33a9/9915229/349065cdbe45/ijerph-20-02273-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/33a9/9915229/b591dbcc0109/ijerph-20-02273-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/33a9/9915229/86681abba34b/ijerph-20-02273-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/33a9/9915229/dbf91d890da7/ijerph-20-02273-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/33a9/9915229/87fa123f0941/ijerph-20-02273-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/33a9/9915229/3cbc0f6460ba/ijerph-20-02273-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/33a9/9915229/d5afe8601bb0/ijerph-20-02273-g009.jpg

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