GIS-Based Analysis of Spatial Distribution of Electricity Transformers in Some Parts of Rigasa, Igabi LGA

Abstract: This paper analyzed the spatial distribution of electricity transformers in Taro-Taro, Makera, and Hayin Dangaladima Rigasa, Igabi L.G.A. QGIS 3.18 software was used for data processing and analysis. The geographic location of transformers was acquired using GPS and displayed in the QGIS environment which appeared as a point layer on the map showing the attributes tables of the transformers. In view of this study, nineteen electric transformers in Taro-Taro and Makera/Hayin Dangaladima were examined. The pattern of distribution of electric transformers in the Taro-Taro and Makera/Hayin Dangaladima is that the electric transformers are dispersed. The facilities in the electric transformers were also examined, where the 500KVA transformer has the highest number, while the 200KVA, which is only one, has the least number in terms of capacity. Five electric transformers with ten years of service have the highest with 26.32%, and four electric transformers each with one year, two years, eight years, and 12 years of service have the lowest with 5.26% This study reveals the ability of GIS and remote sensing techniques to capture and acquire spatiotemporal data for analyzing the distribution of electricity transformers. Kaduna Electricity Distribution Company should as a matter of urgency come to the aid of this community to improve and increase the number of transformers that require replacement and those that require upgrading.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-10-13
DOI
https://doi.org/10.5281/zenodo.14598674
Primary Topic
Soil and Land Suitability Analysis
Type
article
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article

GIS-Based Analysis of Spatial Distribution of Electricity Transformers in Some Parts of Rigasa, Igabi LGA

Zenodo (CERN European Organization for Nuclear Research)
Soil and Land Suitability Analysis
article

GIS-Based Analysis of Spatial Distribution of Electricity Transformers in Some Parts of Rigasa, Igabi LGA

article en

Abstract

Abstract: This paper analyzed the spatial distribution of electricity transformers in Taro-Taro, Makera, and Hayin Dangaladima Rigasa, Igabi L.G.A. QGIS 3.18 software was used for data processing and analysis. The geographic location of transformers was acquired using GPS and displayed in the QGIS environment which appeared as a point layer on the map showing the attributes tables of the transformers. In view of this study, nineteen electric transformers in Taro-Taro and Makera/Hayin Dangaladima were examined. The pattern of distribution of electric transformers in the Taro-Taro and Makera/Hayin Dangaladima is that the electric transformers are dispersed. The facilities in the electric transformers were also examined, where the 500KVA transformer has the highest number, while the 200KVA, which is only one, has the least number in terms of capacity. Five electric transformers with ten years of service have the highest with 26.32%, and four electric transformers each with one year, two years, eight years, and 12 years of service have the lowest with 5.26% This study reveals the ability of GIS and remote sensing techniques to capture and acquire spatiotemporal data for analyzing the distribution of electricity transformers. Kaduna Electricity Distribution Company should as a matter of urgency come to the aid of this community to improve and increase the number of transformers that require replacement and those that require upgrading.

Zenodo (CERN European Organization for Nuclear Research)
Kaduna State University (NG)
Openalex Percentile: Top 40%
Soil and Land Suitability Analysis
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GIS-Based Analysis of Spatial Distribution of Electricity Transformers in Some Parts of Rigasa, Igabi LGA · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS