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    sangey pasang

    Studies and research on the arena of prefabrication have prodigiously reported faster project delivery, improved quality and safer working conditions. More prominently, reduction in waste materials at project sites without any... more
    Studies and research on the arena of prefabrication have prodigiously reported faster project delivery, improved quality and safer working conditions. More prominently, reduction in waste materials at project sites without any implications to environmental aspects has been a major breakthrough. Prefabricated building structures have been progressively recognized as a substitute to the conventional methods of construction at a rapid rate, however, there is a knowledge vacuum and inadequate data on the adoption of prefabrication in Bhutan. Hence, in the current study, the feasibility of Prefabricated Buildings in Bhutan with a case study was carried out. The study focused on the benefits, constraints and way forward of prefabrication works in Bhutan through field survey and questionnaire survey. In addition, economic, environmental assessments and insulation performance were carried on a Pre-Engineered building with prefabricated materials and subsequently compared to a conventional b...
    In areas prone to frequent landslides, the use of landslide susceptibility maps can greatly aid in the decision-making process of the socio-economic development plans of the area. Landslide susceptibility maps are generally developed... more
    In areas prone to frequent landslides, the use of landslide susceptibility maps can greatly aid in the decision-making process of the socio-economic development plans of the area. Landslide susceptibility maps are generally developed using statistical methods and geographic information systems. In the present study, landslide susceptibility along road corridors was considered, since the anthropogenic impacts along a road in a mountainous country remain uniform and are mainly due to road construction. Therefore, we generated landslide susceptibility maps along 80.9 km of the Asian Highway (AH48) in Bhutan using the information value, weight of evidence, and logistic regression methods. These methods have been used independently by some researchers to produce landslide susceptibility maps, but no comparative analysis of these methods with a focus on road corridors is available. The factors contributing to landslides considered in the study are land cover, lithology, elevation, proximi...
    In areas prone to frequent landslides, the use of landslide susceptibility maps can greatly aid in the decision-making process of the socio-economic development plans of the area. Landslide susceptibility maps are generally developed... more
    In areas prone to frequent landslides, the use of landslide susceptibility maps can greatly aid in the decision-making process of the socio-economic development plans of the area. Landslide susceptibility maps are generally developed using statistical methods and geographic information systems. In the present study, landslide susceptibility along road corridors was considered, since the anthropogenic impacts along a road in a mountainous country remain uniform and are mainly due to road construction. Therefore, we generated landslide susceptibility maps along 80.9 km of the Asian Highway (AH48) in Bhutan using the information value, weight of evidence, and logistic regression methods. These methods have been used independently by some researchers to produce landslide susceptibility maps, but no comparative analysis of these methods with a focus on road corridors is available. The factors contributing to landslides considered in the study are land cover, lithology, elevation, proximi...
    In the current study, statistical method of information value and geographic information system (GIS) were applied to develop Landslide Susceptibility Map (LSM) of Phuentsholing region, Bhutan. A total of 161 landslides, covering an area... more
    In the current study, statistical method of information value and geographic information system (GIS) were applied to develop Landslide Susceptibility Map (LSM) of Phuentsholing region, Bhutan. A total of 161 landslides, covering an area of 2.92 square kilometres were identified and 20% was randomly extracted for validation. Various factors causing landslide such as slope, aspect, elevation, proximity to road, drainage and fault, lithology, land use and normalised difference vegetation index (NDVI) were analysed to determine the contribution of each factors to the occurrence of a landslide. To evaluate the performance of the information value model in determining the LSM, overlay method and the Area under curve (AUC) of the receiver operating characteristic (ROC) were performed on the training and validation samples. The region was categorised mostly under high and moderate susceptibility, with land use, vegetation and elevation identified as most important contributing factors to l...
    The southern foothills of Bhutan lie within the Main Central Thrust (MCT) and Main Boundary Fault (MBF) of Himalayan range. The region is subjected to frequent landslides across the length of the country mostly impacting the road network.... more
    The southern foothills of Bhutan lie within the Main Central Thrust (MCT) and Main Boundary Fault (MBF) of Himalayan range. The region is subjected to frequent landslides across the length of the country mostly impacting the road network. This has major impact on the socio-economic activities of country. Landslide inventory and landslide susceptibility maps can aid in the planning and decision making for landslide prevention and mitigation. In the present study, Landslide susceptibility maps was generated for the study area of 130 km2 encompassing an important trade town and an industrial town area. Landslide inventory was created from historical data and interpretation of google earth images. Landslide susceptibility maps(LSM) based on level of severity were generated using GIS based analytic hierarchy process (AHP) multi-criteria evaluation (MCE) and logistic regression technique. Causal factors of landslides such as slope degree, slope aspect, distance from road, distance from dr...