Sangey Pasang

@cst.edu.bt

Civil and Environmental Engineering
College of Science and Technology, Royal University of Bhutan

Sangey Pasang


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https://researchid.co/sangeypasang

RESEARCH, TEACHING, or OTHER INTERESTS

Computers in Earth Sciences, Civil and Structural Engineering, Urban Studies, Transportation
4

Scopus Publications

131

Scholar Citations

4

Scholar h-index

2

Scholar i10-index

Scopus Publications

  • Modeling and Simulation of Urban Heat Islands in Thimphu Thromde Using Artificial Neural Networks
    Sangey Pasang, Chimi Wangmo, Rigzin Norbu, Thinley Zangmo Sherpa, Tenzin Phuntsho, et al.
    Atmosphere, 2025
    Urban Heat Islands (UHIs) are urbanized areas that experience significantly higher temperatures than their surroundings, contributing to thermal discomfort, increased air pollution, heightened public health risks, and greater energy demand. In Bhutan, where urban expansion is concentrated within narrow valley systems, the formation and intensification of UHIs present emerging challenges for climate-resilient urban development. Thimphu, in particular, is experiencing rapid urban growth and densification, making it highly susceptible to UHI effects. Therefore, the aim of this study was to evaluate and simulate UHI conditions for Thimphu Thromde. We carried out the simulation using a GIS, multi-temporal Landsat imagery, and an Artificial Neural Network model. Land use and land cover classes were mapped through supervised classification in the GIS, and surface temperatures associated with each class were derived from thermal bands of Landsat data. These temperature values were normalized to identify existing UHI patterns. An Artificial Neural Network (ANN) model was then applied to simulate future UHI distribution under expected land use change scenarios. The results indicate that, by 2031, built-up areas in Thimphu Thromde are expected to increase to 72.82%, while vegetation cover is projected to decline to 23.52%. Correspondingly, both UHI and extreme UHI zones are projected to expand, accounting for approximately 14.26% and 6.08% of the total area, respectively. Existing hotspots, particularly dense residential areas, commercial centers, and major institutional or public spaces, are expected to intensify. In addition, new UHI zones are likely to develop along the urban fringe, where expansion is occurring around the current hotspots. These study findings will be useful for Thimphu Thromde authorities in deciding the mitigation measures and pre-emptive strategies required to reduce UHI effects.
  • Normalized difference vegetation index analysis of forest cover change detection in Paro Dzongkhag, Bhutan
    Sangey Pasang, Rigzin Norbu, Suren Timsina, Tshering Wangchuk, Petr Kubíček
    Computers in Earth and Environmental Sciences Artificial Intelligence and Advanced Technologies in Hazards and Risk Management, 2021
  • Landslide susceptibility mapping along the Thimphu-Phuentsholing highway using machine learning
    Manju Sara Dahal, Asheer Chhetri, Hemant Ghalley, Sangey Pasang, Moujhuri Patra
    Computers in Earth and Environmental Sciences Artificial Intelligence and Advanced Technologies in Hazards and Risk Management, 2021
  • Landslide susceptibility mapping using statistical methods along the asian highway, bhutan
    Sangey Pasang, Petr Kubíček
    Geosciences Switzerland, 2020
    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, proximity to roads, drainage, and fault lines, aspect, and slope angle. The validation of the method performance was carried out by using the area under the curve of the receiver operating characteristic on training and control samples. The area under the curve values of the control samples were 0.883, 0.882, and 0.88 for the information value, weight of evidence, and logistic regression models, respectively, which indicates that all models were capable of producing reliable landslide susceptibility maps. In addition, when overlaid on the generated landslide susceptibility maps, 89.3%, 85.6%, and 72.2% of the control landslide samples were found to be in higher-susceptibility areas for the information value, weight of evidence, and logistic regression methods, respectively. From these findings, we conclude that the information value method has a better predictive performance than the other methods used in the present study. The landslide susceptibility maps produced in the study could be useful to road engineers in planning landslide prevention and mitigation works along the highway.

RECENT SCHOLAR PUBLICATIONS

  • Modeling and Simulation of Urban Heat Islands in Thimphu Thromde Using Artificial Neural Networks
    S Pasang, C Wangmo, R Norbu, TZ Sherpa, T Phuntsho, R Lhendup
    Atmosphere 16 (12), 1410 , 2025
    2025.0
    Citations: 1
  • Flood Inundation Mapping of Amochu River Basin Using HECRAS and GIS
    C Wangmo, P Namgyel, P Zangmo, T Tsheten, S Pasang
    Geoinformatics for Flood Risk Management: Applications and Strategies, 1-13 , 2025
    2025.0
  • Spatial and Temporal Analysis of Urban Heat Island Effects in College of Science and Technology
    S Pasang, C Gembo, T Choki, PC Dorji, T Namgay, R Norbu
    Zorig Melong| A Technical Journal of Science, Engineering and Technology 8 … , 2025
    2025.0
  • Predictive Analytics for Identifying Surface Water Sources for Domestic Water Supply in Phuentsholing, Bhutan
    C Wangmo, P Wangmo, N Rinchen, N Choezer, S Pasang
    Zorig Melong| A Technical Journal of Science, Engineering and Technology 8 … , 2025
    2025.0
  • Enhancing Flood Susceptibility Mapping Through Machine Learning and Multi-Criteria Decision-Making Techniques
    S Pasang, TT Dorji, T Zangmo, P Thinley
    Zorig Melong| A Technical Journal of Science, Engineering and Technology 8 … , 2025
    2025.0
  • Glacier and Glacial Lake Dynamics in the Mo Chu Catchment, Bhutan: A Satellite-Based Analysis (1992-2022)
    C Wangmo, N Lhaden, PS Yangden, S Pasang
    Journal of Applied Engineering, Technology and Management 5 (1), 62-75 , 2025
    2025.0
  • Feasibility of prefabricated building structures in Bhutan
    BM Thapa, S Pasang
    Journal of Applied Engineering, Technology and Management 3 (1), 10-22 , 2023
    2023.0
    Citations: 4
  • Analysis of road accidents due to obstruction in sight distance caused by foggy weather using Geographic Information System (GIS) and Artificial Neural Network (ANN) at Jumja …
    S Pasang, B Subba, S Pem, S Dema, C Wangmo, K Wangchuk
    Construction Journal of Bhutan 3 , 2023
    2023.0
  • Landslide susceptibility mapping along the Thimphu-Phuentsholing highway using machine learning
    MS Dahal, A Chhetri, H Ghalley, S Pasang, M Patra
    Computers in Earth and Environmental Sciences, 601-617 , 2022
    2022.0
    Citations: 2
  • Normalized difference vegetation index analysis of forest cover change detection in Paro Dzongkhag, Bhutan
    S Pasang, R Norbu, S Timsina, T Wangchuk, P Kubíček
    Computers in Earth and Environmental Sciences, 417-425 , 2022
    2022.0
    Citations: 2
  • Well-Being and Academic Workload: Perceptions of Science and Technology Students.
    K Yangdon, K Sherab, P Choezom, S Passang, S Deki
    Educational research and reviews 16 (11), 418-427 , 2021
    2021.0
    Citations: 69
  • Landslide susceptibility mapping using statistical methods along the Asian Highway, Bhutan
    S Pasang, P Kubíček
    Geosciences 10 (11), 430 , 2020
    2020.0
    Citations: 37
  • Quality control of concrete in Bhutanese construction industry and the requirements of Indian standards
    N Chettri, C Wangmo, S Passang
    GNH J Constr Technol Manag 1 (1), 23-34 , 2020
    2020.0
    Citations: 2
  • Information value model based landslide susceptibility mapping at Phuentsholing, Bhutan
    S Pasang, P Kubíček
    Proceedings of the 21st AGILE Conference, Lund, Sweden, 12-15 , 2018
    2018.0
    Citations: 8
  • Road corridor landslide susceptibility mapping in Bhutan using GIS
    S Pasang, P Kubíček
    GIS Remote Sens , 2017
    2017.0
    Citations: 4
  • GIS based multi-criteria evaluation and logistic regression for landslide susceptibility mapping: A case study in Phuentsholing, Bhutan.
    S Pasang, P Kubíček
    2017.0
    Citations: 1
  • Earthquake Induced Landslide Susceptibility Assessment in Bhutan
    S Pasang, P Kubíček
    2016.0
  • ANALYSIS AND EVALUATION OF MASS TRANSIT IN PHUENTSHOLING
    B SHARMA, K CHHETRI, S PASANG, T LHENDUP, Y Prasad
    ATRANS 2013 , 2013
    2013.0
    Citations: 1
  • Performance evaluation of pavement rehabilitation by polyurethane foam injection: a case study of concrete roads in Suranaree University of Technology
    S Pasang
    School of Transportation Engineering. Institute of Engineering. Suranaree … , 2010
    2010.0
  • Evaluation of Polyurethane Foam Injection for Rigid Pavement Rehabilitation
    S Pasang, T Limanond, P Tanseng

MOST CITED SCHOLAR PUBLICATIONS

  • Well-Being and Academic Workload: Perceptions of Science and Technology Students.
    K Yangdon, K Sherab, P Choezom, S Passang, S Deki
    Educational research and reviews 16 (11), 418-427 , 2021
    2021.0
    Citations: 69
  • Landslide susceptibility mapping using statistical methods along the Asian Highway, Bhutan
    S Pasang, P Kubíček
    Geosciences 10 (11), 430 , 2020
    2020.0
    Citations: 37
  • Information value model based landslide susceptibility mapping at Phuentsholing, Bhutan
    S Pasang, P Kubíček
    Proceedings of the 21st AGILE Conference, Lund, Sweden, 12-15 , 2018
    2018.0
    Citations: 8
  • Feasibility of prefabricated building structures in Bhutan
    BM Thapa, S Pasang
    Journal of Applied Engineering, Technology and Management 3 (1), 10-22 , 2023
    2023.0
    Citations: 4
  • Road corridor landslide susceptibility mapping in Bhutan using GIS
    S Pasang, P Kubíček
    GIS Remote Sens , 2017
    2017.0
    Citations: 4
  • Landslide susceptibility mapping along the Thimphu-Phuentsholing highway using machine learning
    MS Dahal, A Chhetri, H Ghalley, S Pasang, M Patra
    Computers in Earth and Environmental Sciences, 601-617 , 2022
    2022.0
    Citations: 2
  • Normalized difference vegetation index analysis of forest cover change detection in Paro Dzongkhag, Bhutan
    S Pasang, R Norbu, S Timsina, T Wangchuk, P Kubíček
    Computers in Earth and Environmental Sciences, 417-425 , 2022
    2022.0
    Citations: 2
  • Quality control of concrete in Bhutanese construction industry and the requirements of Indian standards
    N Chettri, C Wangmo, S Passang
    GNH J Constr Technol Manag 1 (1), 23-34 , 2020
    2020.0
    Citations: 2
  • Modeling and Simulation of Urban Heat Islands in Thimphu Thromde Using Artificial Neural Networks
    S Pasang, C Wangmo, R Norbu, TZ Sherpa, T Phuntsho, R Lhendup
    Atmosphere 16 (12), 1410 , 2025
    2025.0
    Citations: 1
  • GIS based multi-criteria evaluation and logistic regression for landslide susceptibility mapping: A case study in Phuentsholing, Bhutan.
    S Pasang, P Kubíček
    2017.0
    Citations: 1
  • ANALYSIS AND EVALUATION OF MASS TRANSIT IN PHUENTSHOLING
    B SHARMA, K CHHETRI, S PASANG, T LHENDUP, Y Prasad
    ATRANS 2013 , 2013
    2013.0
    Citations: 1
  • Flood Inundation Mapping of Amochu River Basin Using HECRAS and GIS
    C Wangmo, P Namgyel, P Zangmo, T Tsheten, S Pasang
    Geoinformatics for Flood Risk Management: Applications and Strategies, 1-13 , 2025
    2025.0
  • Spatial and Temporal Analysis of Urban Heat Island Effects in College of Science and Technology
    S Pasang, C Gembo, T Choki, PC Dorji, T Namgay, R Norbu
    Zorig Melong| A Technical Journal of Science, Engineering and Technology 8 … , 2025
    2025.0
  • Predictive Analytics for Identifying Surface Water Sources for Domestic Water Supply in Phuentsholing, Bhutan
    C Wangmo, P Wangmo, N Rinchen, N Choezer, S Pasang
    Zorig Melong| A Technical Journal of Science, Engineering and Technology 8 … , 2025
    2025.0
  • Enhancing Flood Susceptibility Mapping Through Machine Learning and Multi-Criteria Decision-Making Techniques
    S Pasang, TT Dorji, T Zangmo, P Thinley
    Zorig Melong| A Technical Journal of Science, Engineering and Technology 8 … , 2025
    2025.0
  • Glacier and Glacial Lake Dynamics in the Mo Chu Catchment, Bhutan: A Satellite-Based Analysis (1992-2022)
    C Wangmo, N Lhaden, PS Yangden, S Pasang
    Journal of Applied Engineering, Technology and Management 5 (1), 62-75 , 2025
    2025.0
  • Analysis of road accidents due to obstruction in sight distance caused by foggy weather using Geographic Information System (GIS) and Artificial Neural Network (ANN) at Jumja …
    S Pasang, B Subba, S Pem, S Dema, C Wangmo, K Wangchuk
    Construction Journal of Bhutan 3 , 2023
    2023.0
  • Earthquake Induced Landslide Susceptibility Assessment in Bhutan
    S Pasang, P Kubíček
    2016.0
  • Performance evaluation of pavement rehabilitation by polyurethane foam injection: a case study of concrete roads in Suranaree University of Technology
    S Pasang
    School of Transportation Engineering. Institute of Engineering. Suranaree … , 2010
    2010.0
  • Evaluation of Polyurethane Foam Injection for Rigid Pavement Rehabilitation
    S Pasang, T Limanond, P Tanseng