Climate Oscillations, Aerosol Variability, and Land Use Change: Assessment of Drivers of Flood Risk in Monsoon-Dependent Kerala

Aerosol microphysical and optical properties play a crucial role in cloud microphysics, precipitation physics, and flood formation over areas characterized by complex monsoon regimes. This research presents a multi-source data integration approach to analyzing the spatio-temporal interaction between precipitation, aerosols, and flooding in the state of Kerala, incorporating an air mass trajectory analysis to examine its potential contribution to flooding. The results show that the Aerosol Optical Depth (AOD) values were high in the coastal districts (>0.8) in the La Niña year (2021) but low in the El Niño year (2015). On the precipitation side, 2018 and 2021 were both years with a high degree of anomalies, resulting in heavy rainfall that led to widespread flooding in the Thrissur district, among others. The trajectory analysis revealed that the Indian Ocean controls the precipitation during the southwest monsoon and the pre-monsoon. The post-monsoon precipitation is mainly sourced from the Arabian Peninsula and Arabian Sea, transferring marine aerosols along with desert aerosols. The overall study shows that the variability in aerosols and precipitation is more subject to change by the meteorological dynamics, as well as influenced by the regional changes in land use and land cover, causing fluxes in the land–atmosphere interactions. In conclusion, the present study highlights the possible interactive functions of atmospheric dynamics and anthropogenic land use modifications in generating a flood hazard. It provides essential information for land management policies and disaster risk reduction.

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Publication Details

Journal
Earth
Published
2026-01-25
DOI
https://doi.org/10.3390/earth7010015
Citations
1
Primary Topic
Climate variability and models
Type
article
Field-Weighted Citation Impact
36.62
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article

Climate Oscillations, Aerosol Variability, and Land Use Change: Assessment of Drivers of Flood Risk in Monsoon-Dependent Kerala

Srinithisathian Sathian, Komali Kantamaneni, Brema Jayanarayanan, Sowmiya Velmurugan
1 citations
Earth
Climate variability and models
36.62
article

Climate Oscillations, Aerosol Variability, and Land Use Change: Assessment of Drivers of Flood Risk in Monsoon-Dependent Kerala

Srinithisathian Sathian, Komali Kantamaneni, Brema Jayanarayanan, Sowmiya Velmurugan
article en
1 citations

Abstract

Aerosol microphysical and optical properties play a crucial role in cloud microphysics, precipitation physics, and flood formation over areas characterized by complex monsoon regimes. This research presents a multi-source data integration approach to analyzing the spatio-temporal interaction between precipitation, aerosols, and flooding in the state of Kerala, incorporating an air mass trajectory analysis to examine its potential contribution to flooding. The results show that the Aerosol Optical Depth (AOD) values were high in the coastal districts (>0.8) in the La Niña year (2021) but low in the El Niño year (2015). On the precipitation side, 2018 and 2021 were both years with a high degree of anomalies, resulting in heavy rainfall that led to widespread flooding in the Thrissur district, among others. The trajectory analysis revealed that the Indian Ocean controls the precipitation during the southwest monsoon and the pre-monsoon. The post-monsoon precipitation is mainly sourced from the Arabian Peninsula and Arabian Sea, transferring marine aerosols along with desert aerosols. The overall study shows that the variability in aerosols and precipitation is more subject to change by the meteorological dynamics, as well as influenced by the regional changes in land use and land cover, causing fluxes in the land–atmosphere interactions. In conclusion, the present study highlights the possible interactive functions of atmospheric dynamics and anthropogenic land use modifications in generating a flood hazard. It provides essential information for land management policies and disaster risk reduction.

EarthVol. 7(1)
Karunya University (IN), University of Lancashire (GB), Hindustan Institute of Technology and Science (IN)
Climate action
Openalex Percentile: Top 1%
Climate variability and models
36.62
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Climate Oscillations, Aerosol Variability, and Land Use Change: Assessment of Drivers of Flood Risk in Monsoon-Dependent Kerala — Srinithisathian Sathian, Komali Kantamaneni, et al. · Earth (2026) | TGRS Research Map | TGRS