ASRIC Journal on Engineering Sciences 2025 v5-i2
ISSN: 2795-3548
EISSN: 2795-3556
ASRIC Journal on Engineering Sciences 2025 v5-i2
Published: 2025-12-31
Articles
Exploring the Fiscal of Wood-Based Renewable Biomass as an Energy Source
Nnadikwe Johnson, Onyewudiala Julius Ibeawuchi, Nwosi Hezekiah Andrew, Mbadikwe Columbus Asodike, Onwukwe Cajetan Ndubuisi
In Nigeria, the adoption of sustainable biomass for energy generation is rising. Moisture content significantly impacts biomass utilization efficiency. This study investigates the economic impact of moisture at different stages of the wood biomass distribution chain. The methodology includes a literature review, interviews, and economic calculations. The costs associated with moisture content in N
Forging a Resilient Path Towards a Low Carbon Future: Unleashing Challenges as Catalysts for Growth and The Opportunities for Transformation in Petrochemical and Petroleum Industries
Nnadikwe Johnson, Mbadike Columbus Adodike, Onwukwe Cajetan Ndubuisi
Forging a resilient path towards a low carbon future, this research delves deep into the intricate dynamics of the petroleum and petrochemical industries. By uncovering the challenges posed by transitioning to a low carbon economy, this study emphasizes their transformative potential as catalysts for growth. Through an in-depth analysis of the oil and natural gas sector, it not only sheds light on
Urban Flood Susceptibility Study: An AHP-Based Geospatial Multi-Criteria Evaluation in Kigali City, with a Focus on the Mpazi Catchment
Pierre Damien Iraguha, Tresor Hirwa
water floods are the most common and costly natural calamities that affect all countries globally. Flooding in Mpazi catchment (MC) in the city of Kigali (CoK) has raised an issue to sustainable city development. The major aim of this study was to assess flood hazard, vulnerability, and risk in the part of Mpazi catchment (MC) by utilizing GIS-based Multi-Criteria Decision Analysis (MCDA). Mapping
Multi-Compartment PFAS Contamination and Risk Profiling in Kampala’s Urban Hydroscape: A Pre-Collapse Study of Kitezi, Lubigi, and Murchison Bay
Michael Ahimbisibwe, Patrick Ssebugere*, Christine Betty Nagawa, Henry Matovu, Godfrey Muhwezi, Prossie Nakawuka, Isa Kabenge, Ahamada Zziwa
Per- and polyfluoroalkyl substances (PFAS) have emerged as persistent pollutants of growing concern in urban hydrological systems. This study quantified PFAS concentrations across three environmental matrices open surface water bodies, landfill leachate from Kitezi, and Lubigi wetland treatment zones in central Uganda. Using liquid chromatography tandem mass spectrometry (LC-MS/MS), concentrations
Model Predictive Controlled Novel Supermaneuverable Tricopter Design
Afework Alemu Zeudu, Yemane Gebremichael Gebremedhin, Yohannes Kiros Amare, Nebyat Gebregziabhier Weldearegay
This paper presents the design, modeling, and control of a novel supermaneuverable tricopter (SMT) featuring dual-axis thrust vectoring on each of its three rotors. Unlike conventional tricopters, which face under-actuation and yaw-pitch coupling, the SMT offers over-actuation with nine independent control inputs for six degrees of freedom. This allows complete decoupling of motion and enables agi
Ensemble, Kernel-based, and Deep Learning approaches for flood susceptibility mapping: A case study at Lake-Watersheds
Sintayehu Adefires Abebe*, Mulu Sewinet Kerebih, Bewketu Assefa Mulu, Bekalu Weretaw Asres
Lake Tana and its surrounding regions experience frequent flooding, necessitating improved susceptibility mapping to mitigate risks and enhance resilience. This study applies data-driven machine learning techniques to assess flood susceptibility utilizing data sets commonly used in large-scale river basin studies. A comprehensive flood inventory of approximately 2,080 flooded locations was compile
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