Evidence of the Influence of Land Use and Land Cover on Extreme Rainfall in Natal, Northeast of Brazil

This study investigates the influence of land use and land cover (LULC) on the distribution of extreme rainfall in the tropical coastal city of Natal, Brazil. Hourly precipitation data from eight automatic rain gauges (2014–2023) were quality-controlled, with only days containing 24 h continuous records retained. Rainfall events were classified into light (<5 mm), normal (5–10 mm), intense (40–50 mm), and extreme (>50 mm) categories, and for each category daily accumulation, duration, intensity, and maximum hourly peaks were calculated. Seasonal and spatial differences across administrative zones were assessed using multivariate analysis of variance (MANOVA). The LULC changes were evaluated from the MapBiomas Collection 9 dataset. Results show that between 1985 and 2020, the proportion of urbanized (non-vegetated) surfaces increased from 27.7% (42.3 km2) to 64.3% (99.7 km2), mainly in the North and West zones, replacing agricultural and vegetated areas. The East and North zones, the most urbanized areas, recorded higher daily averages of extreme rainfall in the dry season (85–88 mm) than in the wet season (78–82 mm), with maximum peaks up to 26 mm/h and durations exceeding 17 h. These findings demonstrate that rapid urban expansion intensifies rainfall extremes, underscoring the importance of incorporating LULC monitoring (e.g., MapBiomas) and spatial planning into climate adaptation strategies for medium-sized cities.

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Publication Details

Journal
Atmosphere
Published
2025-12-12
DOI
https://doi.org/10.3390/atmos16121398
Primary Topic
Urban Heat Island Mitigation
Type
article
Field-Weighted Citation Impact
0.00

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article

Evidence of the Influence of Land Use and Land Cover on Extreme Rainfall in Natal, Northeast of Brazil

Gabriel Víctor Silva do Nascimento, Gabriel Brito Costa, Maxsuel Bezerra do Nascimento, Keila Rêgo Mendes et al.
Atmosphere
Urban Heat Island Mitigation
article

Evidence of the Influence of Land Use and Land Cover on Extreme Rainfall in Natal, Northeast of Brazil

Gabriel Víctor Silva do Nascimento, Gabriel Brito Costa, Maxsuel Bezerra do Nascimento, Keila Rêgo Mendes, João Sá, Claudia Brandão, Fernando Medeiros, Daniele Tôrres Rodrigues, Valéria Rosa Farto Lopes, Cláudio Moisés Santos e Silva, Pablo E. S. Oliveira, Itauan Dayvison Gomes de Medeiros, Turner S-A, Thiago de Paula Nunes Mesquita, Carlos da Hora, Glenda Yasmin Pereira de Carvalho
article en

Abstract

This study investigates the influence of land use and land cover (LULC) on the distribution of extreme rainfall in the tropical coastal city of Natal, Brazil. Hourly precipitation data from eight automatic rain gauges (2014–2023) were quality-controlled, with only days containing 24 h continuous records retained. Rainfall events were classified into light (<5 mm), normal (5–10 mm), intense (40–50 mm), and extreme (>50 mm) categories, and for each category daily accumulation, duration, intensity, and maximum hourly peaks were calculated. Seasonal and spatial differences across administrative zones were assessed using multivariate analysis of variance (MANOVA). The LULC changes were evaluated from the MapBiomas Collection 9 dataset. Results show that between 1985 and 2020, the proportion of urbanized (non-vegetated) surfaces increased from 27.7% (42.3 km2) to 64.3% (99.7 km2), mainly in the North and West zones, replacing agricultural and vegetated areas. The East and North zones, the most urbanized areas, recorded higher daily averages of extreme rainfall in the dry season (85–88 mm) than in the wet season (78–82 mm), with maximum peaks up to 26 mm/h and durations exceeding 17 h. These findings demonstrate that rapid urban expansion intensifies rainfall extremes, underscoring the importance of incorporating LULC monitoring (e.g., MapBiomas) and spatial planning into climate adaptation strategies for medium-sized cities.

AtmosphereVol. 16(12)
Universidade Federal do Oeste do Pará (BR), Secretariat of Environment and Natural Resources (MX), Universidade Federal do Piauí (BR), Universidade Federal do Rio Grande do Norte (BR)
Conselho Nacional de Desenvolvimento Científico e Tecnológico
Openalex Percentile: Top 62%
Urban Heat Island Mitigation
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