i-manager's Journal on Civil Engineering (JCE)


Volume 15 Issue 4 October - December 2025

Research Paper

Preparation of Cadastral Map using Geo-Spatial Techniques: The Case Study of Arbaminch Town Sub-Lemat Kebele

Fikremariam Girma* , Hailemichel Ashenafi**
* Arba Minch University, Ethiopia.
** Ethiopia Construction Office, Addis Ababa, Ethiopia.
Girma, F., and Ashenafi, H. (2025). Preparation of Cadastral Map using Geo-Spatial Techniques: The Case Study of Arbaminch Town Sub-Lemat Kebele. i-manager’s Journal on Civil Engineering, 15(4), 1-21.

Abstract

Cadastral surveyors are surveyors responsible for making land management easy and successful in the management of the parcel of land. In this responsibility, cadastral mapmaking is the main and most useful task. The traditional way of making cadastral maps is the most adopted one, but the digital mapmaking using geospatial techniques is the newer and estimated technique, which will take over the traditional one in the future. This work involves the preparation of a cadastral map for the Sub-Lemat Kebele in Arba Minch town using geospatial techniques, with ArcGIS software applied as the analytical tool. In addition to the map, socio-economic data of the kebele is integrated into it. The data required for the map preparation, or attribute data, was obtained from the Arba Minch town municipality. An image to be digitized was gathered to the attribute data by using MS Excel and ArcMap software. The socioeconomic data is collected from the field by randomly selected blocks in the kebele. These data are used to prepare a cadastral map that includes socioeconomic information such as population size by sex, age, and level of education. To complete the work, additional survey data were collected from the field using a handheld GPS and a total station. The collected data were then imported into ArcGIS for interpretation and integration with the socioeconomic and attribute information. After all the data was collected to ArcMaps, ArcCatalog software was used to analyze and prepare the cadastral map with socioeconomic and field-collected survey data included. The cadastral map was prepared by including each parcel ID and all required map elements.

Research Paper

Comparison of Estimators of 2-Parameter Weibull Distribution for Modelling Surface Wind Speed of North Indian Region

N. Vivekanandan*
Hydrometeorology Division, Central Water and Power Research Station, Pune, Maharashtra, India.
Vivekanandan, N. (2025). Comparison of Estimators of 2-Parameter Weibull Distribution for Modelling Surface Wind Speed of North Indian Region. i-manager’s Journal on Civil Engineering, 15(4), 22-28.

Abstract

Knowledge of the probability distribution of surface wind speed (SWS) is essential for surface flux estimation, wind power estimation, and wind risk assessments that are required to be analyzed through a physical or statistical approach. This paper presented a study on the application of 2-parameter Weibull (WB2) distribution based on a statistical approach for modelling surface wind speed (SWS) of the North Indian region covering the Delhi-National Capital Region and adjoining areas. The parameters of WB2 were determined by six methods, viz., method of moments (MoM), maximum likelihood estimation (MLE), method of L-Moments (LMO), empirical method (EPM), graphical method (GPM), and weighted least squares method (WLS), and used for further analysis. The adequacy of fitting of the methods of WB2 was evaluated by the Goodness-of-Fit (viz., Kolmogorov-Smirnov (KS)) test, while the selection was made through model performance analysis using various indicators such as correlation coefficient (CC), Nash-Sutcliffe model efficiency (NSE), and root mean squared error (RMSE). The KS test results confirmed the applicability of five methods other than LMO for modelling SWS. The study showed that there is a good correlation between the observed and predicted SWS by six methods of WB2, and the CC values vary between 0.981 and 0.983. The study also showed that NSE given by MLE and GPM is about 96%, whereas it is about 95% for MoM and EPM, 93.6% for WLS, and about 70% for LMO. Based on RMSE values, the MLE was adjudged as better suited amongst all methods of WB2 applied for modelling SWS data. The paper demonstrates that the results can serve as one of the input parameters for estimating surface flux and wind power, as well as for assessing wind-related risks.

Research Paper

Assess the Application of Materials Management Techniques and its Impact on Construction Project Delivery Success in the Hadiya Zone of Ethiopia

Fikremariam Girma* , Sintayehu Erdano**, Fiseha Sahile***
*-*** Arba Minch University, Ethiopia.
Girma, F., Erdano, S., and Sahile, F. (2025). Assess the Application of Materials Management Techniques and its Impact on Construction Project Delivery Success in the Hadiya Zone of Ethiopia. i-manager’s Journal on Civil Engineering, 15(4), 29-56.

Abstract

Construction material management is a critical challenge in the global construction industry, particularly in emerging economies such as Ethiopia. Ineffective material management significantly impedes project performance. This study examines the application of material management techniques and their impact on construction project delivery success in the Hadiya Zone of Ethiopia. A descriptive and correlational research design integrating qualitative and quantitative methods was employed. Project managers, material managers, and site engineers of contracting firms constituted the study population, and data were collected through interviews and questionnaires. Responses from 204 participants were analyzed using descriptive statistics, factor analysis, and Pearson correlation with SPSS version 25. Twenty-five factors influencing material management were identified, of which seven—material schedule planning and monitoring, strong supplier relations, site security measures, use of information and communication technology, material waste control, consideration of weather conditions, and employment and training of competent workers—were found to significantly enhance material management effectiveness and directly improve project delivery outcomes. Results further indicate limited use of prefabrication, material cards, ICT tools, and worker training among contracting firms, particularly medium and small enterprises. Based on the findings, a framework for effective material management was developed. The study recommends adopting appropriate techniques and applying the proposed framework to address existing material management challenges.

Research Paper

Soil Structure Interaction Studies on RCC Underpass

Inamdar Imran Munir* , Shreedhar R.**
*-** SGBIT, VTU, Karnataka, India.
Munir, I. I., and Shreedhar, R. (2025). Soil Structure Interaction Studies on RCC Underpass. i-manager’s Journal on Civil Engineering, 15(4), 57-63.

Abstract

Pedestrian underpass structures play a critical role in urban infrastructure by allowing safe pedestrian movement beneath highways and railways. This study presents the structural analysis, design, and parametric study of a reinforced cement concrete (RCC) box culvert designed for pedestrian use and vehicular loading as per IRC Class AA standards. The investigation emphasizes soil-structure interaction (SSI) effects on bending moments, shear forces, and deflections using STAAD.Pro. Varying subgrade modulus values simulate different soil types, and parametric analysis reveals the significant impact of wall and base spring supports on structural performance. It also establishes the design considerations to optimize stability, safety, and economy in underpass construction.

Research Paper

Enhancing Water-Use Efficiency through Evaporation Suppression: Insights from Laboratory and GEE-Based Validation

Lakshman Rao P.* , Jagadeesh B.**, Bhavani Prakash P.***, Manoj Kumar N.****, Akhila S.*****, Anurag Sharma******
*, ****-***** Department of Civil Engineering, Gayatri Vidya Parishad College for Degree and PG Courses (Autonomous), Visakhapatnam, Andhra Pradesh, India.
** Department of Civil Engineering, Vasavi College of Engineering (Autonomous), Hyderabad, Telangana, India.
*** CSIR–National Environmental Engineering Research Institute (NEERI), Nagpur, Maharashtra, India.
****** Department of Civil Engineering, National Institute of Technology (NIT) Rourkela, Odisha, India.
Rao, P. L., Jagadeesh, B., Prakash, P. B., Kumar, N. M., Akhila, S., and Sharma, A. (2025). Enhancing Water-Use Efficiency through Evaporation Suppression: Insights from Laboratory and GEE-Based Validation. i-manager’s Journal on Civil Engineering, 15(4), 64-73.

Abstract

Evaporation from open water bodies represents a major challenge to water conservation, particularly in arid and semi- arid regions where scarcity is intensified by high atmospheric demand. Conventional estimates indicate that 20–50% of stored water in reservoirs can be lost annually through evaporation, underscoring the need for practical suppression methods. This experimental study investigates and compares two approaches, monomolecular layers of cetyl alcohol and floating roofs using polyethylene balls, for their effectiveness in reducing evaporation losses. Laboratory-scale containers equipped with piezometers were used to monitor daily evaporation depths under three conditions: plain water surface, surface treated with a cetyl alcohol film, and surface covered with floating plastic balls. Results show that untreated water surfaces experienced an average evaporation loss of 15.57% of the storage volume, whereas the application of monomolecular films reduced the loss to 6.50%, and floating ball covers to 9.62%. Both methods proved effective and economical, with chemical films showing greater suppression potential and floating covers offering operational simplicity and reusability. The study demonstrates that integrating such methods in field-scale storages can significantly improve water-use efficiency, making them valuable tools for sustainable water resource management in evaporation-prone regions. This dual approach, combining laboratory validation with satellite-based evapotranspiration (ET) data using Google Earth Engine (GEE), provides a scalable framework for regional water conservation planning and enhances the reliability of findings for large-scale water management and policy adaptation.