REVIEW ARTICLE | April 8, 2025
Traditional Ecological Design in Libya: A Study in the Sustainability and Environmental Adaptation of Local Architecture
Huda A. Elbasha
Page no 87-104 |
https://doi.org/10.36348/sjce.2025.v09i04.001
This paper examines how traditional design solutions contribute to adapting to the harsh and diverse climatic conditions in Libya, with a focus on coastal, desert, and mountainous environments. The study analyzes the environmental design strategies used in traditional architecture, such as the inner courtyard, the malqaf, and the adjacent building blocks, by studying architectural models in cities such as Tripoli, Ghadames, and Gharyan. The paper aims to evaluate the effectiveness of these strategies in improving thermal comfort and reducing the impact of climatic conditions, by comparing different architectural characteristics within an environmental and climatic context.
REVIEW ARTICLE | April 30, 2025
Streamflow Modelling of River Niger at Lokoja and Onitsha in Nigeria for Water Resources Development and Management
R. A. Uzoukwu, J. C. Agunwamba, B. C. Okoro, J. C. Osuagwu, H. U. Nwoke
Page no 105-111 |
https://doi.org/10.36348/sjce.2025.v09i04.002
This paper presents the streamflow modelling of River Niger at Lokoja and Onitsha streamflow gauging station in Nigeria based on least square regression technique. The flow calibration was performed for eleven years from 1998 to 2008 for River Niger at Lokoja streamflow gauging station and from 1980 to 1990 for River Niger at Onitsha streamflow gauging station. The models were also verified and they gave good results. The performance of the modelling effort was evaluated by calculating statistical measures such as Coefficient of Determination (R2) ranging from 0.9983 and 0.9995, Coefficient of Correlation (R) ranging from 0.9991 and 0.9997, Nash-Sutcliffe model Efficiency (NSE) ranging from 0.9962 and 0.99996, Root Mean Square Error (RMSE) or Standard Error of Estimate (Syx) ranging from 12.68 and 35.66, Mean of Residues (MR) or Mean Absolute Error (MAE) ranging from 7.042 and 33.03 and Mean Absolute Relative Error (MARE) ranging from 0.9981 and 0.9996 and then the measured (observed) state variables are compared with the predicted (simulated) state variables. The developed models can be used for hydropower electricity generation, water resources development and management within Lokoja and Onitsha towns and to study any post development scenario within the River Niger catchments and for further hydrological studies in the river basin.