https://elibrary.khec.edu.np/handle/123456789/6 2026-07-17T04:33:58Z https://elibrary.khec.edu.np/handle/123456789/1049 Title: Journal of Science and Engineering Vol.12 (1), 2025 2025-08-12T00:00:00Z https://elibrary.khec.edu.np/handle/123456789/897 Title: Journal of Science and Engineering Vol.11 2024-08-01T00:00:00Z https://elibrary.khec.edu.np/handle/123456789/696 Title: LANDSLIDE SUSCEPTIBILITY ANALYSIS OF JUGAL RURAL MUNICIPALITY, SINDHUPALCHOK Authors: Pradhan, Prateek; Dahal, Bhim Kumar Abstract: Hilly and mountainous areas of Nepal, with challenging terrain, young geology, and heavy monsoon rainfall, are susceptible to landslides and slope instability. To analyze and prepare landslide susceptibility maps, this study selects a typical hilly area, the Jugal Rural Municipality in Sindhupalchok district. Twelve factors contributing to landslides were considered, including slope, aspect, elevation, geology, land use, proximity to roads and drainage, plan curvature, profile curvature, NDVI (Normalized Difference Vegetation Index), soil type and rainfall. Moreover, 286 landslides were identified using high-resolution satellite imagery and field verification as the landslide inventory. These landslides were then randomly divided into two sets: 70% for training and 30% for validation. Bivariate statistical analysis was performed using factor maps and the landslide inventory map. Notably, the analysis revealed a Prediction Rate (PR) of 9.35 for ’Land use’, the highest among all factors considered. Since land use is a dynamic factor, we recommend conducting an analysis of land use changes and their impact on landslide susceptibility. Such an assessment would be invaluable during the planning and execution phases of development projects in Nepal’s disaster-prone regions. 2023-01-01T00:00:00Z https://elibrary.khec.edu.np/handle/123456789/695 Title: DISTRIBUTION NETWORK RECONFIGURATION USING GENETIC ALGORITHM FOR LOSS REDUCTION: A CASE STUDY OF KATUNJE FEEDER, BHAKTAPUR Authors: Gwachha, Rakesh; Malla, Tanus Bikram; Bhattarai, Yogesh; Gautam, Rupesh Abstract: The power distribution system has difficulties with regard to power loss and unacceptable voltage drops as a result of the rapidly expanding power system network, rising electrical energy consumption, and longer distances of power distribution. A typical strategy to address the issues with the distribution system is to perform distribution system reconfiguration. The study focuses on distribution feeder reconfiguration of the Katunje Feeder of Bhaktapur, Nepal where optimization problem is formulated to minimize the system active power loss and investment cost of the system. Genetic algorithm is employed in a co-simulation framework to solve the optimization problem where states of 26 different tie switches are to be altered to achieve the desired optimum results. Two cases are formulated: in case I active power loss is assigned more weight than investment cost whereas, in case II equal weights are assigned for active power loss and investment cost. The results showed the reduction in active power loss and investment cost for both the cases. Case I resulted in more active power loss reduction compared to case II, and case II resulted in more investment cost reduction compared to case I. From this, decision makers can obtain insights in adopting one of the cases for distribution feeder reconfiguration based on technical consideration (active power loss reduction) or economic consideration (investment cost reduction). 2023-01-01T00:00:00Z