Drought and record wildfires during the 3-year La Niña: assessing air pollution impacts in Northeastern Mexico.
Uložené v:
| Názov: | Drought and record wildfires during the 3-year La Niña: assessing air pollution impacts in Northeastern Mexico. |
|---|---|
| Autori: | Ipiña A; Instituto de Física Rosario, CONICET-UNR, 27 de Febrero, Rosario, 2000, Santa Fe, Argentina. ipina@ifir-conicet.gov.ar., López-Padilla G; Centro de Investigación en Matemáticas, SECIHTI, De Jalisco, Guanajuato, 36023, Guanajuato, México., Zúñiga-Villareal C; Centro de Investigación Científica y de Educación Superior de Ensenada, SECIHTI, Carretera Tijuana-Ensenada, Ensenada, 22860, Baja California, México., Carrillo Ávila JR; Agencia de la Calidad del Aire, Secretaría de Medio Ambiente de Nuevo León, Washington, Monterrey, 64010, Nuevo León, México. |
| Zdroj: | Environmental monitoring and assessment [Environ Monit Assess] 2025 Dec 06; Vol. 198 (1), pp. 15. Date of Electronic Publication: 2025 Dec 06. |
| Spôsob vydávania: | Journal Article |
| Jazyk: | English |
| Informácie o časopise: | Publisher: Springer Country of Publication: Netherlands NLM ID: 8508350 Publication Model: Electronic Cited Medium: Internet ISSN: 1573-2959 (Electronic) Linking ISSN: 01676369 NLM ISO Abbreviation: Environ Monit Assess Subsets: MEDLINE |
| Imprint Name(s): | Publication: 1998- : Dordrecht : Springer Original Publication: Dordrecht, Holland ; Boston : D. Reidel Pub. Co., c1981- |
| Výrazy zo slovníka MeSH: | Environmental Monitoring* , Air Pollution*/statistics & numerical data , Wildfires*/statistics & numerical data , Droughts*/statistics & numerical data , Air Pollutants*/analysis , El Nino-Southern Oscillation*, Mexico ; Particulate Matter/analysis ; Climate Change |
| Abstrakt: | The Monterrey Metropolitan Area (MMA) in Northeastern Mexico, already burdened by significant industrial pollution, experienced a severe drought crisis during the 2020-2023 triple-dip La Niña. This prolonged climate anomaly triggered three major fire episodes in the Sierra Madre Oriental (SMO), sharply increasing particulate matter (PM10 and PM2.5) concentrations. To assess the impact of wildfire emissions on urban pollution, this study integrates ground-based air quality and meteorological measurements, satellite-derived data (VIIRS fire radiative power and MODIS aerosol optical depth), drought indicators from the North American Drought Monitor (NADM), and dispersion modeling using Nonparametric Wind Regression (NWR). Fire-attributable contributions increased by up to 53.3 INLINEMATH gm INLINEMATH for PM10 and 12.8 INLINEMATH gm INLINEMATH for PM2.5, frequently exceeding both Mexican and WHO air quality standards. On average, the three wildfires accounted for relative increases of 110% in PM10 and 49% in PM2.5 compared to non-fire conditions. These increases were linked to wind-driven smoke transport from the SMO to the MMA, demonstrating that three megafires substantially degraded urban air quality during a period of extreme drought. As climate change is expected to increase the frequency of multi-year ENSO episodes, thereby prolonging droughts and intensifying wildfire occurrence, our findings underscore the urgent need to incorporate biomass burning aerosol emissions into air quality management strategies and health impact assessments in other regions experiencing similar conditions. (© 2025. The Author(s), under exclusive licence to Springer Nature Switzerland AG.) |
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| Contributed Indexing: | Keywords: Extreme drought; La Niña; PM10; PM2.5; Wildfires |
| Substance Nomenclature: | 0 (Air Pollutants) 0 (Particulate Matter) |
| Entry Date(s): | Date Created: 20251206 Date Completed: 20251206 Latest Revision: 20251206 |
| Update Code: | 20251206 |
| DOI: | 10.1007/s10661-025-14833-6 |
| PMID: | 41351638 |
| Databáza: | MEDLINE |
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| Items | – Name: Title Label: Title Group: Ti Data: Drought and record wildfires during the 3-year La Niña: assessing air pollution impacts in Northeastern Mexico. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Ipiña+A%22">Ipiña A</searchLink>; Instituto de Física Rosario, CONICET-UNR, 27 de Febrero, Rosario, 2000, Santa Fe, Argentina. ipina@ifir-conicet.gov.ar.<br /><searchLink fieldCode="AU" term="%22López-Padilla+G%22">López-Padilla G</searchLink>; Centro de Investigación en Matemáticas, SECIHTI, De Jalisco, Guanajuato, 36023, Guanajuato, México.<br /><searchLink fieldCode="AU" term="%22Zúñiga-Villareal+C%22">Zúñiga-Villareal C</searchLink>; Centro de Investigación Científica y de Educación Superior de Ensenada, SECIHTI, Carretera Tijuana-Ensenada, Ensenada, 22860, Baja California, México.<br /><searchLink fieldCode="AU" term="%22Carrillo+Ávila+JR%22">Carrillo Ávila JR</searchLink>; Agencia de la Calidad del Aire, Secretaría de Medio Ambiente de Nuevo León, Washington, Monterrey, 64010, Nuevo León, México. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%228508350%22">Environmental monitoring and assessment</searchLink> [Environ Monit Assess] 2025 Dec 06; Vol. 198 (1), pp. 15. <i>Date of Electronic Publication: </i>2025 Dec 06. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: Language Label: Language Group: Lang Data: English – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer%22">Springer </searchLink><i>Country of Publication: </i>Netherlands <i>NLM ID: </i>8508350 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1573-2959 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2201676369%22">01676369 </searchLink><i>NLM ISO Abbreviation: </i>Environ Monit Assess <i>Subsets: </i>MEDLINE – Name: PublisherInfo Label: Imprint Name(s) Group: PubInfo Data: <i>Publication</i>: 1998- : Dordrecht : Springer<br /><i>Original Publication</i>: Dordrecht, Holland ; Boston : D. Reidel Pub. Co., c1981- – Name: SubjectMESH Label: MeSH Terms Group: Su Data: <searchLink fieldCode="MM" term="%22Environmental+Monitoring%22">Environmental Monitoring*</searchLink> <br /><searchLink fieldCode="MM" term="%22Air+Pollution%22">Air Pollution*</searchLink>/<searchLink fieldCode="MM" term="%22Air+Pollution+statistics+%26+numerical+data%22">statistics & numerical data</searchLink> <br /><searchLink fieldCode="MM" term="%22Wildfires%22">Wildfires*</searchLink>/<searchLink fieldCode="MM" term="%22Wildfires+statistics+%26+numerical+data%22">statistics & numerical data</searchLink> <br /><searchLink fieldCode="MM" term="%22Droughts%22">Droughts*</searchLink>/<searchLink fieldCode="MM" term="%22Droughts+statistics+%26+numerical+data%22">statistics & numerical data</searchLink> <br /><searchLink fieldCode="MM" term="%22Air+Pollutants%22">Air Pollutants*</searchLink>/<searchLink fieldCode="MM" term="%22Air+Pollutants+analysis%22">analysis</searchLink> <br /><searchLink fieldCode="MM" term="%22El+Nino-Southern+Oscillation%22">El Nino-Southern Oscillation*</searchLink><br /><searchLink fieldCode="MH" term="%22Mexico%22">Mexico</searchLink> ; <searchLink fieldCode="MH" term="%22Particulate+Matter%22">Particulate Matter</searchLink>/<searchLink fieldCode="MH" term="%22Particulate+Matter+analysis%22">analysis</searchLink> ; <searchLink fieldCode="MH" term="%22Climate+Change%22">Climate Change</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The Monterrey Metropolitan Area (MMA) in Northeastern Mexico, already burdened by significant industrial pollution, experienced a severe drought crisis during the 2020-2023 triple-dip La Niña. This prolonged climate anomaly triggered three major fire episodes in the Sierra Madre Oriental (SMO), sharply increasing particulate matter (PM10 and PM2.5) concentrations. To assess the impact of wildfire emissions on urban pollution, this study integrates ground-based air quality and meteorological measurements, satellite-derived data (VIIRS fire radiative power and MODIS aerosol optical depth), drought indicators from the North American Drought Monitor (NADM), and dispersion modeling using Nonparametric Wind Regression (NWR). Fire-attributable contributions increased by up to 53.3 INLINEMATH gm INLINEMATH for PM10 and 12.8 INLINEMATH gm INLINEMATH for PM2.5, frequently exceeding both Mexican and WHO air quality standards. On average, the three wildfires accounted for relative increases of 110% in PM10 and 49% in PM2.5 compared to non-fire conditions. These increases were linked to wind-driven smoke transport from the SMO to the MMA, demonstrating that three megafires substantially degraded urban air quality during a period of extreme drought. As climate change is expected to increase the frequency of multi-year ENSO episodes, thereby prolonging droughts and intensifying wildfire occurrence, our findings underscore the urgent need to incorporate biomass burning aerosol emissions into air quality management strategies and health impact assessments in other regions experiencing similar conditions.<br /> (© 2025. The Author(s), under exclusive licence to Springer Nature Switzerland AG.) – Name: Ref Label: References Group: RefInfo Data: Beig, G., Anand, V., Korhale, N., Sobhana, S., Harshitha, K., & Kripalani, R. (2024). Triple dip La-Nina, unorthodox circulation and unusual spin in air quality of India. Science of The Total Environment, 920, Article 170963. https://doi.org/10.1016/j.scitotenv.2024.170963. 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Advances in Atmospheric Sciences, 40(4), 541–548. https://doi.org/10.1007/s00376-022-2331-8. – Name: SubjectMinor Label: Contributed Indexing Group: Data: <i>Keywords: </i>Extreme drought; La Niña; PM10; PM2.5; Wildfires – Name: NumberCAS Label: Substance Nomenclature Group: ID Data: 0 (Air Pollutants)<br />0 (Particulate Matter) – Name: DateEntry Label: Entry Date(s) Group: Date Data: <i>Date Created: </i>20251206 <i>Date Completed: </i>20251206 <i>Latest Revision: </i>20251206 – Name: DateUpdate Label: Update Code Group: Date Data: 20251206 – Name: DOI Label: DOI Group: ID Data: 10.1007/s10661-025-14833-6 – Name: AN Label: PMID Group: ID Data: 41351638 |
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