Assessment of the impact of precipitation on environmental radiation levels: A case study of yeonggwang

This study investigated the correlation between different levels of precipitation and environmental radiation levels, focusing specifically on the Yeonggwang region adjacent to the Hanbit Nuclear Power Plant (NPP). The analysis utilized a dataset comprising environmental radiation and meteorological measurements collected from 2017 to 2023. To accomplish this, the study employed statistical methods like t-tests and ANOVA to assess whether significant variations in environmental radiation levels correspond to the presence or absence of precipitation and across varying precipitation intensities. Precipitation data were segmented into distinct categories—no rain, light rain (0–1 mm/h), and heavy rain (over 1 mm/h)—for a detailed analysis. The t -test results show a statistically significant elevation in environmental radiation levels during precipitation compared to conditions with no rain. Further ANOVA analysis confirms that this increase in environmental radiation levels is uniform across all regions and seasons, with the most pronounced increases during periods of heavy precipitation. The findings from this study could have important implications for enhancing radiation monitoring and safety protocols at nuclear facilities. These results highlight the necessity for ongoing, detailed monitoring of environmental radiation and meteorological conditions to more effectively predict and mitigate potential increases in radiation exposure due to precipitation.

Authors

Institutions

Publication Details

Journal
Nuclear Engineering and Technology
Published
2024-11-26
DOI
https://doi.org/10.1016/j.net.2024.11.044
Citations
2
Primary Topic
Diverse Topics in Contemporary Research
Type
article
Field-Weighted Citation Impact
8.58
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Assessment of the impact of precipitation on environmental radiation levels: A case study of yeonggwang

Joo Hyun Moon, Han Young Joo
2 citations
Nuclear Engineering and Technology
Diverse Topics in Contemporary Research
8.58
article

Assessment of the impact of precipitation on environmental radiation levels: A case study of yeonggwang

Joo Hyun Moon, Han Young Joo
article en
2 citations

Abstract

This study investigated the correlation between different levels of precipitation and environmental radiation levels, focusing specifically on the Yeonggwang region adjacent to the Hanbit Nuclear Power Plant (NPP). The analysis utilized a dataset comprising environmental radiation and meteorological measurements collected from 2017 to 2023. To accomplish this, the study employed statistical methods like t-tests and ANOVA to assess whether significant variations in environmental radiation levels correspond to the presence or absence of precipitation and across varying precipitation intensities. Precipitation data were segmented into distinct categories—no rain, light rain (0–1 mm/h), and heavy rain (over 1 mm/h)—for a detailed analysis. The t -test results show a statistically significant elevation in environmental radiation levels during precipitation compared to conditions with no rain. Further ANOVA analysis confirms that this increase in environmental radiation levels is uniform across all regions and seasons, with the most pronounced increases during periods of heavy precipitation. The findings from this study could have important implications for enhancing radiation monitoring and safety protocols at nuclear facilities. These results highlight the necessity for ongoing, detailed monitoring of environmental radiation and meteorological conditions to more effectively predict and mitigate potential increases in radiation exposure due to precipitation.

Nuclear Engineering and TechnologyVol. 57(5)
Dankook University (KR)
Openalex Percentile: Top 2%
Diverse Topics in Contemporary Research
8.58
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.