MODELLING AI TECHNOLOGIES TOWARDS PREDICTION OF DISASTERS RELATED TO CLIMATE CHANGE: CASE STUDY OF NORTH RIFT, KENYA

The study explores the application of artificial intelligence (AI) technologies for predicting climate change-induced disasters in Kenya's North Rift region. The North Rift, characterized by diverse topography including highlands, valleys, and arid plains, has experienced increasing frequency and severity of climate-related disasters such as floods, droughts, and landslides over the past decade. These events have significantly impacted agricultural productivity, water resources, infrastructure, and community livelihoods.

Authors

Publication Details

Journal
International Journal of Applied Science and Engineering Review
Published
2025-01-01
DOI
https://doi.org/10.52267/ijaser.2025.6401
Primary Topic
Computational Physics and Python Applications
Type
article
Field-Weighted Citation Impact
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article

MODELLING AI TECHNOLOGIES TOWARDS PREDICTION OF DISASTERS RELATED TO CLIMATE CHANGE: CASE STUDY OF NORTH RIFT, KENYA

Anselemo Peters Ikoha, Martha Muthoni Konje, Eric Sifuna Siunduh
International Journal of Applied Science and Engineering Review
Computational Physics and Python Applications
article

MODELLING AI TECHNOLOGIES TOWARDS PREDICTION OF DISASTERS RELATED TO CLIMATE CHANGE: CASE STUDY OF NORTH RIFT, KENYA

Anselemo Peters Ikoha, Martha Muthoni Konje, Eric Sifuna Siunduh
article en

Abstract

The study explores the application of artificial intelligence (AI) technologies for predicting climate change-induced disasters in Kenya's North Rift region. The North Rift, characterized by diverse topography including highlands, valleys, and arid plains, has experienced increasing frequency and severity of climate-related disasters such as floods, droughts, and landslides over the past decade. These events have significantly impacted agricultural productivity, water resources, infrastructure, and community livelihoods.

International Journal of Applied Science and Engineering ReviewVol. 06(04)
Openalex Percentile: Top 89%
Computational Physics and Python Applications
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