Anoop Bahuguna

@gehu.ac.in

Assistant Professor Department of Civil Engineering
Graphic Era Hill University

Anoop Bahuguna


                  Download Compact PDF  
https://researchid.co/abahuguna
Working as an Assistant Professor at Graphic Era Hill University Dehradun and Research Scholar in the subject of Remote Sensing and GIS at Graphic Era deemed to be University, Dehradun. I have completed my M.Tech dissertation on "A STUDY OF GANGOTRI GLACIER RETREAT USING REMOTE SENSING AND GEOSPATIAL TECHNIQUE" Published research papers at various national and international journals.

EDUCATION

B.Tech in Civil Engineering
M.Tech (Gold Medal) in Geoinformatics
PhD (Remote sensing and GIS) -- on going

RESEARCH INTERESTS

Remote sensing and gis , materials ,
8

Scopus Publications

31

Scholar Citations

3

Scholar h-index

1

Scholar i10-index

Scopus Publications

  • Experimental Study of Silica Fume and Fly Ash on Self-Compacting Concrete
    Ankit Nainwal, Mahesh Chandra Shah, Ankit Negi, Anoop Bahuguna, Ankit Negi
    Lecture Notes in Mechanical Engineering, 2026
  • Investigating the Influence of Shredded Macadamia Shell and Polyethylene Terephthalate as Substitutes for Sharp Debris in Epoxy
    Anoop Bahuguna, Kishan Singh Rawat, Rakesh Kumar, Gaurav Dhiman, Sarita Gupta, Monit Kapoor
    Aip Conference Proceedings, 2025
  • Analysis of morphometric parameters for sub-watershed of Kanchipuram district, Tamilnadu using satellite image and GIS techniques
    Smruti Ranjan Sahu, Kishan Singh Rawat, Anoop Bahuguna, Harminder Singh Baweja
    Aip Conference Proceedings, 2024
    The examination of the drainage system, including drainage density, land use/land cover analysis, slope characteristics, size, and surface morphological features, was conducted using satellite-based remote sensing techniques. This study focused on employing remote sensing and GIS (Geographic Information System) techniques to monitor morphometric parameters. The Digital Elevation Model (DEM) data, with a resolution of 30 meters, was utilized to extract the morphometric parameters for the catchment area of Kanchipuram district. The analysis encompassed various morphometric parameters such as stream distance, stream order, number of streams, bifurcation ratio, drainage density, drainage frequency, drainage texture, elongation ratio, circularity ratio, and form factor, among others. Additionally, slope aspects and contour data were derived from surface tools. A total of 53 morphometric parameters were monitored during this study, employing ArcGIS software for the computation of these parameters. The utilization of the application of remote sensing and GIS methods in this study offers valuable insights for the management of rainwater harvesting, watershed management, and drainage development. By accurately assessing the drainage network and morphometric characteristics, this study provides a foundation for informed decision-making and planning in these areas. The results of this research carry substantial consequences for the strategic development and administration of water resources. The identification of critical areas prone to flooding or water stagnation can inform the implementation of appropriate measures such as rainwater harvesting structures, drainage channels, or reservoirs. Watershed management initiatives can benefit from the understanding of the catchment's characteristics and the prioritization of conservation and restoration efforts.
  • A case study of rainfall variability analysis using precipitation concentration index in talcher region, Odisha, India
    Kishan Singh Rawat, Akash Behera, Anoop Bahuguna, Harminder Singh Baweja
    Aip Conference Proceedings, 2024
    Climate change has a huge impact on the change pattern of rainfall, which ultimately lead us to either flood or drought, in any part of the world. A long term rainfall data of a particular area and its variability analysis provides vital information about past and future climatic conditions. This research was to analysis the rainfall variability and intensity in a long term monthly basis from (1980 to 2021) using Precipitation Concentration Index (PCI). The rain fall data was collected from Power Data Access Viewer (https://power.larc.nasa.gov/data-access-viewer/). The PCI was calculated as PCIAnnual, PCIWinter, PCIPre-monsoon, PCIMonsoon, PCIPost-monsoon as seasonal and decadal basis. The PCIAnnual shows the lowest rainfall average in the year of 1987 and highest rainfall in 2003 in the last 41 years in our study area. The study recommends that the Talcher Development Authority (TDA) must follow or adopt a constructive well planned water management plan.
  • Streamflow Forecasting of Teesta River for a Hilly Sub-Tropical Humid Zone ANN ANFIS Based Models
    Ankit Negi, Kishan Singh Rawat, Mahesh Chandra Shah, Ankit Nainwal, Anoop Bahuguna
    Proceedings 2023 3rd International Conference on Innovative Sustainable Computational Technologies Cisct 2023, 2023
    The stream flow forecasting of Teesta River which flows in a hilly sub-tropical humid zone of north India using artificial neural network (ANN) and adaptive-neuro fuzzy inference system (ANFIS) is the focus of this study. This study relied on four years of daily precipitation, humidity, temperature, and discharge data from the Teesta River in Sikkim. The network is forecasted using a variety of ANN algorithms. In addition, an ANFIS-based model was created for this purpose. For this research, all ANN and ANFIS modelling is performed in the MATLAB environment. In forecasting the Teesta River discharge, the ANFIS model has a correlation value of 87%, whereas the ANN model using the Levenberg-Marquardt algorithm has a correlation value of 83%.
  • Aeolian Sand Affected Wasteland Monitoring Using Multi-Temporal Remotely Sensed Imagery: A Case Study of Sirsa District of Haryana, India
    Kishan Singh Rawat, Sudhir Kumar Singh, Sanjeev Kumar, Anoop Bahuguna
    Aip Conference Proceedings, 2022
    Nowadays, remotely sensed data are continuously used for different purposes in various applications. Due to rapid deforestation, change in land use/land cover (LULC), intensive agriculture and urbanization have major impacts on desertification in many districts of few states such Haryana, Rajasthan, and Punjab etc. of India. This problem is not limited to only in India but world is also facing similar problem from last four decades. The objective was to understand the dynamics of aeolian sand affected wasteland through remotely sensed imagery and change detection analysis method. We have selected Landsat sensor as it have the largest historical archive of the earth resource data hence, we have collected the remotely sensed data of 1977 to 2017 of Sirsa district of Haryana, India. Total nine Landsat satellite images were acquired at five year interval with different dates. The GIS platform was used to analyze output of remote sensing data. Results outline that, aeolian sand affected land decreased in each five year interval of last four decades and its decreasing in progress by 19.01% every five year. Moreover, 3.15 km2 area (or 2.01% area of the 1977) the study area expected to be converted into productive land in next five to ten year under state government plan. These results indicate that conversion of desertification into ossification in the study area.
  • Land Use Land Cover (LU/LC) Change Analysis Using Earth Observation Data Sets over Jharsuguda Districts of Odisha
    Smruti Ranjan Sahu, Kishan Singh Rawat, Sudhir Kumar Singh, Anoop Bahuguna
    Aip Conference Proceedings, 2022
    Normalized Difference Vegetation Index (NDVI) method was utilized for the of LU/LC change deduction map. Generally land use is the land used by human to obtain product and take the benefits by using the land resources and land cover in other hand is defined as the physical materials that cover the earth surface. In this study NDVI based classification of remote sensing dataset show the land cover changes of the study area for different years from 1995 to 2020 with 5 years interval. Under this study we used Landsat 4-5 TM and Landsat 8 OLI imagery. Landsat 8 imagery available from 2013, so for 2015 and 2020 we takes Landsat 8 images and for other years which are before 2013 for that we take Landsat 4-5 images. NDVI calculation was carried out by raster calculator tool in ArcGIS. From this major changes are found in the vegetation and some minor changes found in land, water body and forest and grassland. In the year 1995 and 2005 the vegetation cover is less than the other years. A major change of vegetation found in these time period. Mostly area of this study area covers with urban land and barren land.
  • Augmentation of groundwater recharge in rainwater harvesting systems: A coastal city study
    International Journal on Emerging Technologies, 2020

RECENT SCHOLAR PUBLICATIONS

  • Investigating the influence of shredded macadamia shell and polyethylene terephthalate as substitutes for sharp debris in epoxy
    A Bahuguna, KS Rawat, R Kumar, G Dhiman, S Gupta, M Kapoor
    AIP Conference Proceedings 3185 (1), 030005 , 2025
    2025
    Citations: 1
  • A Comprehensive Approach to Evaluate River Water Quality with ANN Modeling
    A Negi, N Mishra, A Nainwal, A Bahuguna, R Danu
    Proceedings of the 3rd International Conference on Optimization Techniques … , 2024
    2024
  • Optimizing Delhi Metro Operations with XGBoost Ridership Levels in Urban Transit Systems
    S Anu Priya, A Bahuguna, P Jaisankar, R Ramesh, A Kindie Awuraris, ...
    Proceedings of the 3rd International Conference on Optimization Techniques … , 2024
    2024
  • Effects of Crushed Coconut Shell on Concrete as Utilised in Partial Place of Coarse Aggregate
    A Bahuguna, KS Rawat, R Danu, A Negi, A Nainwal
    Proceedings of the 3rd International Conference on Optimization Techniques … , 2024
    2024
  • Distribution of Engineering Properties of Soils used in Highway Construction
    R Danu, AK Sharma, A Bahuguna, A Negi, A Nainwal
    Proceedings of the 3rd International Conference on Optimization Techniques … , 2024
    2024
  • Experimental Study of Silica Fume and Fly Ash on Self-Compacting Concrete
    A Nainwal, MC Shah, A Negi, A Bahuguna, A Negi
    Biennial International Conference on Future Learning Aspects of Mechanical … , 2024
    2024
  • Analysis of morphometric parameters for sub-watershed of Kanchipuram district, Tamilnadu using satellite image and GIS techniques
    SR Sahu, KS Rawat, A Bahuguna, HS Baweja
    AIP Conference Proceedings 3072 (1), 040009 , 2024
    2024
    Citations: 1
  • A case study of rainfall variability analysis using precipitation concentration index in Talcher region, Odisha, India
    KS Rawat, A Behera, A Bahuguna, HS Baweja
    AIP Conference Proceedings 3072 (1), 040010 , 2024
    2024
    Citations: 5
  • Streamflow Forecasting of Teesta River for a Hilly Sub-Tropical Humid Zone ANN ANFIS Based Models
    A Negi, KS Rawat, MC Shah, A Nainwal, A Bahuguna
    2023 3rd International Conference on Innovative Sustainable Computational … , 2023
    2023
  • Analysis of Trend Using Nonparametric Test for Rainfall and Rainy-Days in Jodhpur Zone of Rajasthan
    ABAR Deepshikha, Shashi Ranjan , Lakshman Singh
    Indian Journal of Ecology (2023) 50(4): 1063-1068 2023, 1063-1068 , 2023
    2023
    Citations: 2
  • Aeolian sand affected wasteland monitoring using multi-temporal remotely sensed imagery: A case study of Sirsa district of Haryana, India
    KS Rawat, SK Singh, S Kumar, A Bahuguna
    AIP Conference Proceedings 2481 (1), 020038 , 2022
    2022
  • Land use land cover (LU/LC) change analysis using earth observation data sets over Jharsuguda districts of Odisha
    SR Sahu, KS Rawat, SK Singh, A Bahuguna
    AIP Conference Proceedings 2481 (1), 020040 , 2022
    2022
    Citations: 16
  • An Improved Machine Learning-Based Compressive Strength Prediction For Concrete In Civil Structures
    S Kumar, B Pant, A Bahuguna
    Elementary Education Online 20 (3), 4093-4093 , 2022
    2022
  • Authentication of Colors and Textures Through the Chronographic Method
    N Garg, A Bahuguna
    Webology 18 (5) , 2021
    2021
  • Lime-Rich Sludge Catalysis of Powdered Blast-Furnace Slag with and Without Rice Husk Ash
    Y Gori, DP Singh, A Bahuguna
    Webology 18 (5), 3049-3057 , 2021
    2021
  • Rainfall trend analysis using non parametric test and satellite data of Pauri Garhwal District of Uttarakhand India
    KS Rawat, SK Singh, AK Mishra, S Kumar, A Bahuguna
    IJARET 11 (9), 1098-1107 , 2020
    2020
    Citations: 6

MOST CITED SCHOLAR PUBLICATIONS

  • Land use land cover (LU/LC) change analysis using earth observation data sets over Jharsuguda districts of Odisha
    SR Sahu, KS Rawat, SK Singh, A Bahuguna
    AIP Conference Proceedings 2481 (1), 020040 , 2022
    2022
    Citations: 16
  • Rainfall trend analysis using non parametric test and satellite data of Pauri Garhwal District of Uttarakhand India
    KS Rawat, SK Singh, AK Mishra, S Kumar, A Bahuguna
    IJARET 11 (9), 1098-1107 , 2020
    2020
    Citations: 6
  • A case study of rainfall variability analysis using precipitation concentration index in Talcher region, Odisha, India
    KS Rawat, A Behera, A Bahuguna, HS Baweja
    AIP Conference Proceedings 3072 (1), 040010 , 2024
    2024
    Citations: 5
  • Analysis of Trend Using Nonparametric Test for Rainfall and Rainy-Days in Jodhpur Zone of Rajasthan
    ABAR Deepshikha, Shashi Ranjan , Lakshman Singh
    Indian Journal of Ecology (2023) 50(4): 1063-1068 2023, 1063-1068 , 2023
    2023
    Citations: 2
  • Investigating the influence of shredded macadamia shell and polyethylene terephthalate as substitutes for sharp debris in epoxy
    A Bahuguna, KS Rawat, R Kumar, G Dhiman, S Gupta, M Kapoor
    AIP Conference Proceedings 3185 (1), 030005 , 2025
    2025
    Citations: 1
  • Analysis of morphometric parameters for sub-watershed of Kanchipuram district, Tamilnadu using satellite image and GIS techniques
    SR Sahu, KS Rawat, A Bahuguna, HS Baweja
    AIP Conference Proceedings 3072 (1), 040009 , 2024
    2024
    Citations: 1
  • A Comprehensive Approach to Evaluate River Water Quality with ANN Modeling
    A Negi, N Mishra, A Nainwal, A Bahuguna, R Danu
    Proceedings of the 3rd International Conference on Optimization Techniques … , 2024
    2024
  • Optimizing Delhi Metro Operations with XGBoost Ridership Levels in Urban Transit Systems
    S Anu Priya, A Bahuguna, P Jaisankar, R Ramesh, A Kindie Awuraris, ...
    Proceedings of the 3rd International Conference on Optimization Techniques … , 2024
    2024
  • Effects of Crushed Coconut Shell on Concrete as Utilised in Partial Place of Coarse Aggregate
    A Bahuguna, KS Rawat, R Danu, A Negi, A Nainwal
    Proceedings of the 3rd International Conference on Optimization Techniques … , 2024
    2024
  • Distribution of Engineering Properties of Soils used in Highway Construction
    R Danu, AK Sharma, A Bahuguna, A Negi, A Nainwal
    Proceedings of the 3rd International Conference on Optimization Techniques … , 2024
    2024
  • Experimental Study of Silica Fume and Fly Ash on Self-Compacting Concrete
    A Nainwal, MC Shah, A Negi, A Bahuguna, A Negi
    Biennial International Conference on Future Learning Aspects of Mechanical … , 2024
    2024
  • Streamflow Forecasting of Teesta River for a Hilly Sub-Tropical Humid Zone ANN ANFIS Based Models
    A Negi, KS Rawat, MC Shah, A Nainwal, A Bahuguna
    2023 3rd International Conference on Innovative Sustainable Computational … , 2023
    2023
  • Aeolian sand affected wasteland monitoring using multi-temporal remotely sensed imagery: A case study of Sirsa district of Haryana, India
    KS Rawat, SK Singh, S Kumar, A Bahuguna
    AIP Conference Proceedings 2481 (1), 020038 , 2022
    2022
  • An Improved Machine Learning-Based Compressive Strength Prediction For Concrete In Civil Structures
    S Kumar, B Pant, A Bahuguna
    Elementary Education Online 20 (3), 4093-4093 , 2022
    2022
  • Authentication of Colors and Textures Through the Chronographic Method
    N Garg, A Bahuguna
    Webology 18 (5) , 2021
    2021
  • Lime-Rich Sludge Catalysis of Powdered Blast-Furnace Slag with and Without Rice Husk Ash
    Y Gori, DP Singh, A Bahuguna
    Webology 18 (5), 3049-3057 , 2021
    2021