Adaptive Structural Design of River Monitoring Systems: Enhancing Environmental Monitoring Capabilities and Sustainability

The accelerating degradation of river ecosystems due to pollution necessitates the innovation of River Monitoring Systems (RMS) to protect these critical waterways. This research presents a novel design for adaptive RMS camera structures, aimed at enhancing monitoring capabilities and addressing the limitations of current systems. Highlighting the essential role rivers play in sustaining biodiversity, our study underscores the severe consequences of pollution, as exemplified by the deteriorating condition of Malaysia’s Klang River. We identify the need for a flexible RMS structure to overcome challenges such as excessive weight, corrosion susceptibility, and maintenance difficulties. Our methodology integrates advanced 3D Drawing Software for structural design, Fusion 360 for weight analysis, and a combination of manual calculations and simulations for vibration analysis. The findings reveal that Carbon Fiber Reinforced Polymers (CFRP) are the optimal material choice, offering an excellent balance of performance and cost-efficiency. This research successfully develops a structurally sound, user-friendly, and dynamically stable RMS camera structure, significantly advancing environmental monitoring practices. The study's contributions provide a foundation for future innovations in adaptive structural design, with broad implications for safeguarding river ecosystems worldwide.

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Publication Details

Journal
Semarak International Journal of Civil and Structural Engineering
Published
2025-05-07
DOI
https://doi.org/10.37934/sijcse.2.1.118a
Primary Topic
Water Quality Monitoring Technologies
Type
article
Field-Weighted Citation Impact
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article

Adaptive Structural Design of River Monitoring Systems: Enhancing Environmental Monitoring Capabilities and Sustainability

Muhammad Idris, Yee Siang Gan, Zun Liang Chuan, Wayne Woo Yao Wen Wayne Woo et al.
Semarak International Journal of Civil and Structural Engineering
Water Quality Monitoring Technologies
article

Adaptive Structural Design of River Monitoring Systems: Enhancing Environmental Monitoring Capabilities and Sustainability

Muhammad Idris, Yee Siang Gan, Zun Liang Chuan, Wayne Woo Yao Wen Wayne Woo, Yutaka Asako, Wei Cheah, Lit Ken Tan, Yu Feng Tan, Kok Yee Lai, Liang Jun Wee, Shahirah Abu Bakar, Muhammad Thalhah Zainal, Zuo How Liang
article en

Abstract

The accelerating degradation of river ecosystems due to pollution necessitates the innovation of River Monitoring Systems (RMS) to protect these critical waterways. This research presents a novel design for adaptive RMS camera structures, aimed at enhancing monitoring capabilities and addressing the limitations of current systems. Highlighting the essential role rivers play in sustaining biodiversity, our study underscores the severe consequences of pollution, as exemplified by the deteriorating condition of Malaysia’s Klang River. We identify the need for a flexible RMS structure to overcome challenges such as excessive weight, corrosion susceptibility, and maintenance difficulties. Our methodology integrates advanced 3D Drawing Software for structural design, Fusion 360 for weight analysis, and a combination of manual calculations and simulations for vibration analysis. The findings reveal that Carbon Fiber Reinforced Polymers (CFRP) are the optimal material choice, offering an excellent balance of performance and cost-efficiency. This research successfully develops a structurally sound, user-friendly, and dynamically stable RMS camera structure, significantly advancing environmental monitoring practices. The study's contributions provide a foundation for future innovations in adaptive structural design, with broad implications for safeguarding river ecosystems worldwide.

Semarak International Journal of Civil and Structural EngineeringVol. 2(1)
Universiti Malaysia Pahang Al-Sultan Abdullah (MY), University of Technology Malaysia (MY), Feng Chia University (TW), Andalas University (ID)
Openalex Percentile: Top 89%
Water Quality Monitoring Technologies
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