Effect of Wooded Channels on 519.25-MHz UHF Radio Wave Propagation
Keywords:
Radio wave, Vegetation, Wooded channel, Ultra High Frequency (UHF) and Signal strengthAbstract
The effect of vegetation on 519.25-MHz UHF radio wave propagation was investigated in wooded areas of Calabar, located in Cross River State, Nigeria. The primary objective of the study was to collect statistical data on signal strength at various depths within forested channels, in order to evaluate signal losses caused by vegetation. Measurements were taken using a digital Cable Television (CATV) meter/analyzer (Model DLM3-T) connected to a 4-meter-high slot receiver antenna. During each measurement, the receiver antenna was carefully adjusted to achieve the best possible signal quality, as displayed on the CATV analyzer screen, before recording the signal strength. All measurements were taken on the downlink only. The results indicate that significant UHF signal loss occurs when the height of the transmitting antenna exceeds the average tree height in a wooded area. This loss is primarily due to the obstruction caused by the canopy—comprising both foliaged (leaf-covered) and non-foliaged (bare-branched) sections—which interferes with end-to-end communication. It was also found that signal loss patterns are more strongly influenced by the type and density of vegetation than by the depth of the wooded channel. Furthermore, a noticeable discrepancy was observed between the measured signal losses and predictions made by the early ITU model, highlighting its limitations in such environments. Seasonal variations also played a significant role, with greater signal losses recorded during the rainy season due to denser foliage compared to the dry season, when vegetation was sparser.
Downloads
Published
Issue
Section
License
Authors retain copyright and grant the journal the right of first publication. Articles published in this journal are licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), permitting unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
How to Cite
Similar Articles
- Nnabuk Eddy, Advancements and Challenges in Nuclear Energy: Pathways for a Sustainable Future , Applied Science, Computing, and Energy: Vol. 1 No. 1 (2024): VOLUME 1 ISSUE 1
- , U.L Anekwe, Level of Radiological Hazards at the Information Computer Technology (ICT) Complex, Federal University Otuoke, Nigeria , Applied Science, Computing, and Energy: Vol. 3 No. 2 (2025): VOLUME 3 ISSUE 2
- Ifiok Dominic Uffia, Ifiok Dominic Uffia, Ofonimeh Emmanuel Udofia, Iniobong Bruno Nsien, Rose Okopide Esen, Christiana Samuel Udofia, Comparative Preliminary Phytochemical Screening and Antibacterial Properties of the Fruit Epicarp and Seed Extracts of Cola lepidota K. Schum , Applied Science, Computing, and Energy: Vol. 3 No. 3 (2025): Volume 3, Issue 3
- Benjamin. O. Onwurah, Kelechi K. Ochommadu, Chisom L. Kelechi, Assessment of Knowledge and Practice of Justification of Medical Exposure Among Healthcare Practitioners in Asaba Specialist Hospital and Federal Medical Centre, Asaba , Applied Science, Computing, and Energy: Vol. 2 No. 1 (2025): VOLUME 2 ISSUE 1
- Faith D. Olasunkanmi, Chidinma M. Dike, Ja’afaru Umma Hani, Taiwo Suliyat Mofoyeke, Esther Oshaji, Ijeoma Joy Nwajiaku, Oluwakemi Adesola, Adebayo Adegbenro, AI and ML Assessment of Performance-Based Financing Models in Health Care: A Review , Applied Science, Computing, and Energy: Vol. 3 No. 2 (2025): VOLUME 3 ISSUE 2
- Ngwu Comfort, Advances in Machine Learning Approaches for Predicting Aqueous Solubility in Drug Discovery , Applied Science, Computing, and Energy: Vol. 2 No. 1 (2025): VOLUME 2 ISSUE 1
- Shehu Usman Gulumbe, Aminu Bello Zoramawa, Halilu Buhari Kware, Abdulkarim Bello, PKRIDS: A Real-Time Hybrid Host-Based Intrusion Detection System Using PCAmix, Kernel PCA, and Random Forest , Applied Science, Computing, and Energy: Vol. 3 No. 1 (2025): VOLUME 3 ISSUE 1
- Edikan Nnabuk, Enhancing Office Management Efficiency through Artificial Intelligence and ICT Innovations , Applied Science, Computing, and Energy: Vol. 1 No. 1 (2024): VOLUME 1 ISSUE 1
- David John Zirra, Ummar Ibrahim Ashaka, Groundwater Potential Mapping in Crystalline Basement Terrain Using an Integrated Geophysical–GIS Approach: Mubi, Northeastern Nigeria , Applied Science, Computing, and Energy: Vol. 4 No. 5 (2026): Vol 4, Issue 5
- Forward Nsama, Assessing the Cost-Containment Effectiveness of AI-Based Predictive Models in Reducing Avoidable Readmissions and Overtreatment in U.S. Medicare Hospitals , Applied Science, Computing, and Energy: Vol. 2 No. 2 (2025): VOLUME 2 ISSUE 2
You may also start an advanced similarity search for this article.