Inundation mapping using hydraulic modeling with high-resolution remote sensed data: a case study in the Acre River Basin, Brazil

Antunes da Silva, Larissa; Rudorff, Conrado; Ovando, Alex; Pimentel, Alan; Cuartas, Luz Adriana; dos Santos Alvalá, Regina Célia

doi:10.1007/s40808-024-01972-x

Model. Earth Syst. Environ.

2024

DOI: 10.1007/s40808-024-01972-x

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Inundation mapping using hydraulic modeling with high-resolution remote sensed data: a case study in the Acre River Basin, Brazil

Larissa Antunes da Silva,

Conrado Rudorff,

Alex Ovando

et al.

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Controlling carbon emissions through modeling and optimization: addressing an earth system and environment challenge

Shahid,

Naqvi,

Yousaf

et al. 2024

Model. Earth Syst. Environ.

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This study aims to analyze the trend of carbon dioxide CO2 emissions from various sources in Pakistan between 1990 and 2020 to effectively model the underlying dynamics of carbon emissions. The design and fitting of the model to historical emissions data reveal significant trends and patterns, highlighting the alarming increase in CO2 emissions. These findings underscore the necessity for robust policy interventions to mitigate emissions and achieve sustainable development goals (SDGs). This work can contribute to addressing the challenges of recent plans targeting global warming and the climate emergency. By controlling these parameters, the mean reversion can be managed, allowing for the control of the increasing rate of carbon emissions in regions threatened by climate change. The O-U model provides a valuable framework for understanding the stochastic nature of carbon emissions, offering insights into the persistence and variability of emission levels over time. The optimized parametric thresholds of the stochastic model, after synchronizing it with the real data, reveal that the challenge of carbon emissions cannot be naturally resolved and serious interventions are highly desired. These include robust policy measures to mitigate emissions, improve air quality, and combat climate change.

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Controlling carbon emissions through modeling and optimization: addressing an earth system and environment challenge

Shahid,

Naqvi,

Yousaf

et al. 2024

Model. Earth Syst. Environ.

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

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Inundation mapping using hydraulic modeling with high-resolution remote sensed data: a case study in the Acre River Basin, Brazil

Cited by 1 publication

References 70 publications

Controlling carbon emissions through modeling and optimization: addressing an earth system and environment challenge

Controlling carbon emissions through modeling and optimization: addressing an earth system and environment challenge

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