Research Article
Flashflood Hazard Assessment in Yewa South Lga
Issue:
Volume 10, Issue 2, April 2025
Pages:
49-59
Received:
1 February 2025
Accepted:
18 February 2025
Published:
7 March 2025
DOI:
10.11648/j.jccee.20251002.11
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Abstract: In the bid to accomplish the Sustainable Development Goals, several attempts have been made in Yewa South LGA to accomplish environmental sustainability (SDG7) and reduce the adverse effects of climate change (SDG13). The area has witnessed recurrent flash floods with deleterious effect to lives and properties due to anthropogenic factors coupled with incessant torrential rainfall events which are the major drivers of flood vulnerability in the area. Previous studies have adopted the use of GIS, Remote sensing or an integration both techniques with associated challenges. This study adopts the use of Hydrologic Engineering Centre’s Hydrologic Modelling System with Geographic Information Systems (HEC-GeoHMS) to evaluate the relationship between rainfalls, terrain characteristics, run off and stream flow as an alternative flood mitigation scheme. The catchment area was divided into forty-five sub basins over a 10m DEM, the run off hydrographs simulated and the hydrological characteristics modelled by using rainfall data between 1st June, 2022 – 31st May, 2023 as well as discharge data from Ogun-Osun River basin Development Authority (O-ORBDA). the model parameters were optimized for calibration and the calibrated model was thereafter validated using three statistical evaluation criteria which showed that there is a good simulation between the observed and estimated values (Rep = -2.24%, REv = 6.67%, NSE = 95.03%, and R2 = 0.83). Further analysis of the results showed that the flash flood is induced mainly by hydrologic characteristics of the area. This work therefore proposes to mitigate flood in Yewa South Local Government Area of Ogun State by modelling how excess water runs on the terrain thereby creating flash floods. The model will serve as an input for putting mitigation measures in place to arrest flash floods.
Abstract: In the bid to accomplish the Sustainable Development Goals, several attempts have been made in Yewa South LGA to accomplish environmental sustainability (SDG7) and reduce the adverse effects of climate change (SDG13). The area has witnessed recurrent flash floods with deleterious effect to lives and properties due to anthropogenic factors coupled w...
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Review Article
A Review on Aerospace-AI, with Ethics and Implications
Issue:
Volume 10, Issue 2, April 2025
Pages:
60-74
Received:
31 December 2024
Accepted:
3 February 2025
Published:
11 March 2025
DOI:
10.11648/j.jccee.20251002.12
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Abstract: The rapid advancement of aerospace technology, coupled with the exponential growth in available data, has catalyzed the integration of artificial intelligence (AI) across the aerospace sector. This comprehensive review examines the state-of-the-art applications of AI, machine learning (ML), deep learning (DL), and generative artificial intelligence (GenAI) in aerospace. Our analysis reveals that ML algorithms demonstrate remarkable capabilities: Random forest (RF) algorithm achieves precision within 10 meters for trajectory prediction, while support vector machines (SVMs) algorithms show 99.89% accuracy in aircraft fault detection. Decision trees (DTs) algorithms excel in aircraft system diagnostics with adaptive learning capabilities. In the realm of deep learning, convolutional neural networks (CNNs) algorithms achieve 79% accuracy in satellite component detection and structural inspection, while recurrent neural networks (RNNs) algorithms and Long Short-Term Memory (LSTM) networks demonstrate superior performance in 4D trajectory prediction and engine health monitoring. GenAI, particularly through Generative adversarial networks (GANs), has revolutionized airfoil design optimization, achieving less than 1% error in profile fitting and 10% error in aerodynamic stealth characteristics. However, these algorithms face scalability challenges when processing large-scale datasets in real-time applications, particularly in mission-critical scenarios. Our research also identifies four ethical considerations, including bias prevention in automated systems, transparency in decision-making processes, privacy protection in data handling, and the implementation of important safety protocols. This study provides a foundation for understanding the current landscape of aerospace-AI integration while highlighting the importance of addressing ethical implications in future developments. The successful implementation of these technologies will require continuous innovation in validation methodologies, establish universal ethical considerations standard, and enhanced community engagement through citizen science initiatives to involve stakeholders.
Abstract: The rapid advancement of aerospace technology, coupled with the exponential growth in available data, has catalyzed the integration of artificial intelligence (AI) across the aerospace sector. This comprehensive review examines the state-of-the-art applications of AI, machine learning (ML), deep learning (DL), and generative artificial intelligence...
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Research Article
Flood-Resistant Sustainable Housing in Jamalpur District, Bangladesh
Md Rafiur Rahman*,
Md Mohiuddin Mamun,
Nadim Hasan,
Hussain Muhammad Abdullah,
Iqbal Hossain Imon,
Gonojit Paul,
Shariful Haque Sammo,
Al-Rafi Islam,
Syed Md. Sanjid Alahi Alif,
Fatema Marzia Pramanik,
Shekh Nazia Islam Tamme,
Sadman Sakib,
Kazi Naeem Hossain,
Md Rofiul Islam Rofi,
Tahia Rabbee
Issue:
Volume 10, Issue 2, April 2025
Pages:
75-80
Received:
10 February 2025
Accepted:
17 March 2025
Published:
31 March 2025
Abstract: Bangladesh is frequently flooded because of its position, which has an impact on livelihoods and housing structures. The Brahmaputra River runs through the Jamalpur District, making it extremely susceptible to periodic flooding. Heavy monsoon rains, coupled with riverbank erosion, further exacerbate the problem, leading to displacement and significant property damage. The rising threat of climate change is expected to intensify these challenges, necessitating innovative flood-resilient housing solutions. The purpose of this study is to create a sustainable and flood-resistant home concept that is appropriate for the area. To suggest a novel flood-resilient dwelling design, a variety of building methods, eco-friendly materials, and climate adaptation tactics are examined. The study explores traditional stilt houses, amphibious architecture, and floating home technologies to determine the most viable approach for flood-prone communities. Additionally, locally sourced, low-cost materials such as bamboo, compressed earth blocks, and recycled plastic are considered to enhance affordability and sustainability.To identify the ideal elevation and structural reinforcements needed for resilience, the analysis incorporates historical flood data. This includes assessing past flood levels, frequency, and duration to establish reliable flood-proofing benchmarks. Advanced GIS mapping and remote sensing techniques are utilized to identify high-risk zones and plan strategic housing layouts. A thorough approach is used, which includes cost-effective material assessment, structural modelling, and hydrological data analysis. To ensure practical implementation, stakeholder engagement with local communities, policymakers, and engineers is conducted, allowing for inclusive decision-making. Furthermore, energy-efficient features such as passive cooling, rainwater harvesting, and solar power integration are explored to enhance long-term sustainability.In line with sustainable development objectives, the results provide a workable and expandable solution for areas vulnerable to flooding. By integrating resilience, affordability, and sustainability, this study presents a scalable housing model that can be replicated across flood-prone regions in Bangladesh and beyond.
Abstract: Bangladesh is frequently flooded because of its position, which has an impact on livelihoods and housing structures. The Brahmaputra River runs through the Jamalpur District, making it extremely susceptible to periodic flooding. Heavy monsoon rains, coupled with riverbank erosion, further exacerbate the problem, leading to displacement and signific...
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,
Monsur Adewara
