基于巴西南亚马逊州太阳正午臭氧监测仪数据的太阳紫外光谱辐照度的季节变化和趋势

IF 3.8 Q2 ENVIRONMENTAL SCIENCES
Péricles Vale Alves , Vandoir Bourscheidt , Luiz Octávio Fabrício dos Santos , Paula Regina Humbelino de Melo
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引用次数: 0

摘要

紫外线辐射对公众健康和环境具有重大影响,因此了解紫外线辐射的动态至关重要,特别是在亚马逊河流域南部等敏感地区。本研究利用遥感数据分析了该地区305、310、324和380 nm紫外辐照度的季节变化和趋势。这些数据来自安装在卫星上的传感器,涵盖了2005年1月至2022年12月的时间。结果表明,紫外光辐照度具有明显的季节性,在夏季和春季达到峰值。紫外光辐照度的最大和最小变化分别出现在2月和9月(305和310 nm),而324和380 nm的变化则出现在11月和9月。至于趋势,最重要的发现包括紫外线辐照度(324和380 nm)的大幅增加和云光学厚度(COT)的减少。臭氧与紫外线辐照度(305 nm)呈显著负相关,而COT与紫外线辐照度(324 nm和380 nm)呈强相关。该研究在7月份揭示了一种危急情况,强调需要对紫外线照射采取额外的预防措施。虽然研究结果表明了辐照度和COT的相关行为,但由于亚马逊南部地区地面上缺乏光谱紫外线传感器,因此迫切需要投资先进的监测技术,以便进一步的研究可以更准确地描述这些动态。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Seasonal variations and trends in solar UV spectral irradiances based on data from the Ozone Monitoring Instrument at solar noon in Southern Amazonas, Brazil
Ultraviolet (UV) radiation has significant implications for public health and the environment, making it crucial to understand the dynamics of UV irradiances, particularly in sensitive regions such as the southern mesoregion of Amazonas. This study aimed to analyze the seasonal variations and trends in UV irradiances (305, 310, 324, and 380 nm) in the mentioned region using remote sensing data. The data were derived from satellite-mounted sensors, covering the period from January 2005 to December 2022. The results indicate a well-defined seasonality of UV irradiances, with intensity peaks in summer and spring. The largest and smallest monthly variations in UV irradiances (305 and 310 nm) occurred in February and September, respectively, while for UV irradiances (324 and 380 nm), these variations were observed in November and September. As for the trends, the most significant findings included substantial increases in UV irradiances (324 and 380 nm) and a reduction in Cloud Optical Thickness (COT). A significant negative correlation between ozone and UV irradiance (305 nm) was also observed, along with a strong correlation between COT and UV irradiances (324 and 380 nm). The study revealed a critical situation in July, emphasizing the need for additional precautions regarding UV exposure. While the results indicate concerning behaviors in irradiances and COT, the lack of spectral UV sensors on the ground in the southern Amazon region highlights the urgent need for investment in advanced monitoring technologies so that further studies can describe these dynamics more precisely.
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来源期刊
CiteScore
8.00
自引率
8.50%
发文量
204
审稿时长
65 days
期刊介绍: The journal ''Remote Sensing Applications: Society and Environment'' (RSASE) focuses on remote sensing studies that address specific topics with an emphasis on environmental and societal issues - regional / local studies with global significance. Subjects are encouraged to have an interdisciplinary approach and include, but are not limited by: " -Global and climate change studies addressing the impact of increasing concentrations of greenhouse gases, CO2 emission, carbon balance and carbon mitigation, energy system on social and environmental systems -Ecological and environmental issues including biodiversity, ecosystem dynamics, land degradation, atmospheric and water pollution, urban footprint, ecosystem management and natural hazards (e.g. earthquakes, typhoons, floods, landslides) -Natural resource studies including land-use in general, biomass estimation, forests, agricultural land, plantation, soils, coral reefs, wetland and water resources -Agriculture, food production systems and food security outcomes -Socio-economic issues including urban systems, urban growth, public health, epidemics, land-use transition and land use conflicts -Oceanography and coastal zone studies, including sea level rise projections, coastlines changes and the ocean-land interface -Regional challenges for remote sensing application techniques, monitoring and analysis, such as cloud screening and atmospheric correction for tropical regions -Interdisciplinary studies combining remote sensing, household survey data, field measurements and models to address environmental, societal and sustainability issues -Quantitative and qualitative analysis that documents the impact of using remote sensing studies in social, political, environmental or economic systems
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