article · International Journal of Inventive Engineering and Sciences
Measurements across 161 points along three lines in the Gombe Metropolitan Area assessed environmental radiation and elevation. Recorded radiation levels ranged between 18 and 42 Becquerels, largely matching natural background levels, though spatial variations and potential hotspots linked to geological or human sources were present. Elevation across the surveyed area varied between 476 and 712 metres, influencing pollutant dispersion, microclimates, and soil composition. Statistical evaluations using control charts, box plots, and Sen's slope estimators showed general process stability over time, despite occasional outlier readings exceeding control thresholds. These outliers indicate potential external factors or measurement errors. Overall, the findings reflect a relatively stable radiological baseline, while highlighting the need for continuous spatial and temporal monitoring to detect anomalies and manage environmental risks effectively across urban and peri-urban zones.
Establishing baseline environmental radiation levels helps public authorities distinguish safe, natural conditions from dangerous contamination linked to human activity or geological shifts. Accounting for elevation and local terrain allows environmental managers to anticipate how pollutants move, ensuring that public health measures and risk mitigation strategies in growing urban areas are tailored to specific local conditions.
This research provides early-stage environmental baseline data and demonstrates statistical process control methods for monitoring radiation. Potential end users include municipal environmental protection agencies, urban planning bodies, and public health authorities interested in environmental surveillance. Because the work is an observational field study without proprietary instrumentation or software development, any commercial application is distant and would require integration into commercial sensor networks or environmental management services.
AI-generated from the published abstract. Always read the original work before citing.
Detailed analysis of data on radiation and elevation measured in 3 lines of 161 points of the Gombe Metropolitan Area. Measurements of radiation in Lines 1, 2, and 3 were 18-42 Bq, 25-39 Bq, and 18-39 Bq, respectively, and most of the measurements corresponded to the natural background. Spatial heterogeneity existed, with potential hotspots associated with geological or anthropogenic sources. Topographic gradients were evident in the elevation data, with the highest and lowest elevations at approximately 476 and 712 meters, respectively, which influenced soil composition, microclimates, and pollutant distribution. These spatial distributions highlight the importance of local judgments in managing environmental risks. Statistical analysis of the process stability in general was done with the help of control charts, Sens Slope estimator, and box plots, but sometimes the outliers (that were more than control limits, mainly 42 Bq and 38 Bq) were present, and it was possible to consider the existence of other external factors or measurement errors. The mere positive shifts in Lines 1 and 3 also indicate that the radiological environment can remain in the same position over time. All these findings suggest that the climate has remained relatively stable radiologically, and local malformities should be monitored. Timely detection of abnormal conditions, environmental security, and risk mitigation measures through close observation and comprehensive spatial and temporal investigations is critical in cities and peri-urban regions. The results highlight the significance of continuous monitoring and local risk control to ensure environmental security, as well as the importance of stable radiological conditions in the long run. Still, they should be monitored with skilled attention to detect anomalies in urban and peri-urban areas in a timely manner.
This page summarises published work. The authoritative version sits with the publisher.
DOI: 10.35940/ijies.e8324.12121225
Is something wrong with this record? Report it or request removal.
Discussion
Have you built on this work, tried to replicate it, or seen it applied in practice? Share what you know. Verified researchers and MARATTO™ domain experts can open a discussion, and any member can reply. Contributions are reviewed before they appear.
No discussion yet. Open the first thread.
New to MARATTO™? Create a free account.
