ANKUR VISHWAKARMA

@sgsits.ac.in

Assistant Professor
SHRI G. S. INSTITUTE OF TECHNOLOGY & SCIENCE, INDORE

ANKUR VISHWAKARMA


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https://researchid.co/ankur18vishwa

RESEARCH INTERESTS

Climate change, Drought, Hydrology, Irrigation, Water resources
8

Scopus Publications

63

Scholar Citations

6

Scholar h-index

2

Scholar i10-index

Scopus Publications

  • Impact of projected climate variability on agricultural water demand of key crops in drought-prone central India region
    Ankur Vishwakarma, Mahendra Kumar Choudhary, Mrityunjay Singh Chauhan
    Journal of Water and Climate Change, 2024
    Water scarcity predominantly affects agriculture production. It is mandatory to save future water to prevent its shortage due to variations in climate. Variation in climate is a significant factor responsible for frequent droughts over the Bundelkhand region in central India. It is necessary to obtain early warning studies in this region to manage and arrange future agricultural water. Out of best Regional Climate Models (RCMs) under the Coordinated Regional Downscaling Experiment (CORDEX) and their driving Coupled Model Intercomparison Project Phase 5 (CMIP5), General Circulation Models (GCMs) for India, the most effective model has been found based on the observed multiscale data for the region. The daily projected data (2021–2100) of best GCM, Earth System Model, ESM-2M have been used to evaluate the future water requirements for major rabi and hot weather crops grown in the region. The climate change effect is seen in the majority, especially in the upper Bundelkhand part. Most of the crops will need more water than the present condition, especially from 2071 to 2100. The findings will also help researchers and policymakers to utilize the future projected data to propose suitable water management strategies for agriculture.
  • Waste to wealth: A philosophy of zero waste
    Satyam Mishra, Mrityunjay Singh Chauhan, Suresh Sundaramurthy, Vinay Raj, Ankur Vishwakarma, Umare Shubhangi Niranjan
    From Waste to Wealth, 2024
  • Projection of Drought Indices Trend over the Lower Bundelkhand Region in Central India
    A. Vishwakarma, M. K. Choudhary, M. S. Chauhan
    Lecture Notes in Civil Engineering, 2024
  • Assessment of CMIP5 and CORDEX-SA experiments in representing multiscale temperature climatology over central India
    Ankur Vishwakarma, Mahendra Kumar Choudhary, Mrityunjay Singh Chauhan
    Water Practice and Technology, 2022
    The central India region has been seriously affected by repeated droughts in recent decades due to climate change, which is the main reason for conducting this research. It is still uncertain how the numerous climate models could precisely estimate the future climate for central India. The study mainly focuses on the forcing global climate models (GCMs) and the regional climate models (RCMs). The models have been checked using the coefficient of correlation (r2), Nash-Sutcliffe efficiency (NSE) and an improved method, skill score (SS). The performance is also spatially checked on ArcGIS using the kriging interpolation. The bias-corrected GCMs performed more authentically than the CORDEX RCMs in signifying maximum and minimum temperatures for the Bundelkhand region in central India. Bias-corrected GCMs, EC-EARTH, CCSM4 and GFDL-ESM-2M affirmed the best models on multiple time scales for maximum and minimum temperature in the study region. Maximum NSE and r2 have been observed for seasonal minimum temperature. GCM-EC-EARTH has shown 97% to 98% accuracy, while GCM-GFDL-ESM-2M has demonstrated 84% to 97% accuracy among other selected models. The research outcomes will also assist policymakers in developing strategies and policies for the future climate of central India with the help of more precise projected climatic data.
  • Non-parametric trend of drought and its future applicability: a case study of sagar station
    A. Vishwakarma, M. K. Choudhary, M. S. Chauhan
    2021
  • Trend Analysis of Meteorological Variables and Drought Indices in the Bundelkhand Region Using the Non-Parametric Approach
    A. Vishwakarma, M. K. Choudhary, M. S. Chaunah
    Russian Meteorology and Hydrology, 2020
    Droughts significantly decrease production of crops. Therefore, three drought indices, SPI and SPEI (meteorological drought) and SSI (agricultural drought) have been evaluated for 82 rain gage stations in the Bundelkhand region, India. The non-parametric trend test (the Mann–Kendall test) and the Sen’s slope estimator have been used to analyze the monthly, seasonal, and annual trends for both categories of drought. Monthly and annual trends of rainfall and temperature (both minimum and maximum) have also been analyzed for the study area. The analysis revealed the negative trend of SPI mainly for the northern part of Bundelkhand and especially for monsoon season and for August–September. The trend for precipitation amount is also negative for these months. The minimum temperature has increased (0.03 to 0.07°C/year) more as compared to the maximum temperature (< 0.01°C/year with an insignificant trend). PET was evaluated using the Penman–Monteith method for the further calculation of SPEI. The inverse distance weightage (IDW) method of interpolation has been used to represent the trends on ArcGIS.
  • Applicability of spi and rdi for forthcoming drought events: A non-parametric trend and one way anova approach
    Ankur Vishwakarma, Mahendra Kumar Choudhary, Mrityunjay Singh Chauhan
    Journal of Water and Climate Change, 2020
    Monthly, seasonal and annual trends of rainfall and temperature (both minimum and maximum) have been analyzed using the Mann–Kendall trend test (a non-parametric test) and Sen's slope estimator for Sagar division, India from 1988 to 2018. Sagar division is a drought-prone zone of Madhya Pradesh, India. The same analysis has been performed for two drought indices, the Standardized Precipitation Index (SPI) and Reconnaissance Drought Index (RDI). Both indices were calculated to see the trend in the drought for 35 rain-gauge stations belonging to the study area. The study revealed that the minimum temperature had increased more than the maximum temperature in the last 31 years. The strong similarity in the results of Sen's slope of SPI and RDI were seen for both significant and non-significant trends. Analysis of variance (ANOVA) testing validates the substantial similarity between SPI and RDI based on Sen's slope. It also indicated the suitability of RDI for future projection of drought using the general circulation models (GCMs) or regional climate models (RCMs) in meteorological drought as well as the agricultural drought category. In contrast, the SPI indicated the meteorological drought only. The distribution of trends of temperature and drought indices were presented using the kriging interpolation.
  • Assessment of the performance of cmip5 and cordex-sa models over the drought-prone bundelkhand region, india
    Ankur Vishwakarma, Mahendra Kumar Choudhary, Mrityunjay Singh Chauhan
    Journal of Water and Climate Change, 2020
    The present study evaluates the reliability of the latest generation five best general circulation models (GCMs) under the Coupled Model Intercomparison Project Phase 5 (CMIP5) and their corresponding regional climate models (RCMs) of Coordinated Regional Climate Downscaling Experiment (CORDEX) for the Bundelkhand region in central India. The study is performed on a microscale due to frequent drought events and more climate susceptibility in the study region. Observed daily precipitation data of 35 years (1971–2005) from the Indian Meteorological Department (IMD) have been chosen to check the performance of the models. Bilinear interpolation has been adopted to prepare all the data to obtain them on a common grid platform at a half-degree (0.5° × 0.5°) resolution. The data of the models have been bias-corrected using quantile mapping. Uncertainty of the models has been assessed using Nash–Sutcliffe efficiency (NSE), coefficient of determination (r2) and a modified method known as skill score (SS). The study concluded that the bias-corrected GCMs played a better role than the CORDEX RCMs for the Bundelkhand region. Earth System Model, ESM-2M of the Geophysical Fluid Dynamics Laboratory (GFDL) has shown better accuracy than all the CORDEX RCMs and their driving GCMs for the study region.

RECENT SCHOLAR PUBLICATIONS

  • Comparative Study of Downscaling Methods: Distribution Mapping Versus Quantile Mapping for Rainfall and Temperature Data Over Central India
    A Vishwakarma, V Poonia
    Climate Extremes and Emerging Solutions: Data-Driven Insights and Geospatial … , 2026
    2026.0
  • Impact of projected climate variability on agricultural water demand of key crops in drought-prone central India region
    A Vishwakarma, MK Choudhary, MS Chauhan
    Journal of Water and Climate Change 15 (9), 4328-4342 , 2024
    2024.0
    Citations: 5
  • Waste to wealth: A philosophy of zero waste
    S Mishra, MS Chauhan, S Sundaramurthy, V Raj, A Vishwakarma, ...
    From waste to wealth, 85-107 , 2024
    2024.0
    Citations: 9
  • Projection of drought indices trend over the lower Bundelkhand Region in Central India
    A Vishwakarma, MK Choudhary, MS Chauhan
    International Conference on Recent Advances in Civil Engineering, 991-1000 , 2022
    2022.0
    Citations: 1
  • Assessment of CMIP5 and CORDEX-SA experiments in representing multiscale temperature climatology over central India
    A Vishwakarma, MK Choudhary, MS Chauhan
    Water Practice & Technology 17 (9), 1923-1936 , 2022
    2022.0
    Citations: 8
  • Non-parametric trend and the validity of a newly developed drought indicator for agricultural application over the central India region
    A Vishwakarma, MK Choudhary, MS Chauhan
    Arabian Journal of Geosciences 15 (4), 365 , 2022
    2022.0
    Citations: 8
  • Runoff Simulation and Irrigation Water Requirement for Barman Command
    A Vishwakarma, MK Choudhary, MS Chauhan
    Water Resources Management and Reservoir Operation: Hydraulics, Water … , 2021
    2021.0
  • Applicability of SPI and RDI for forthcoming drought events: a non-parametric trend and one way ANOVA approach
    A Vishwakarma, MK Choudhary, MS Chauhan
    Journal of Water and Climate Change 11 (S1), 18-28 , 2020
    2020.0
    Citations: 14
  • Trend analysis of meteorological variables and drought indices in the Bundelkhand region using the non-parametric approach
    A Vishwakarma, MK Choudhary, MS Chaunah
    Russian Meteorology and Hydrology 45 (12), 870-875 , 2020
    2020.0
    Citations: 11
  • Assessment of the performance of CMIP5 and CORDEX-SA models over the drought-prone Bundelkhand region, India
    A Vishwakarma, MK Choudhary, MS Chauhan
    Journal of Water and Climate Change 11 (S1), 133-144 , 2020
    2020.0
    Citations: 7
  • Non-parametric Trend of Drought and Its Future Applicability: A Case Study of Sagar Station
    A Vishwakarma, MK Choudhary, MS Chauhan
    Recent Trends in Civil Engineering: Select Proceedings of ICRTICE 2019, 939-944 , 2020
    2020.0
  • Projection of drought indices trend and irrigation water requirement of major crops in bundelkhand region
    A Vishwakarma
    Bhopal , 0

MOST CITED SCHOLAR PUBLICATIONS

  • Applicability of SPI and RDI for forthcoming drought events: a non-parametric trend and one way ANOVA approach
    A Vishwakarma, MK Choudhary, MS Chauhan
    Journal of Water and Climate Change 11 (S1), 18-28 , 2020
    2020.0
    Citations: 14
  • Trend analysis of meteorological variables and drought indices in the Bundelkhand region using the non-parametric approach
    A Vishwakarma, MK Choudhary, MS Chaunah
    Russian Meteorology and Hydrology 45 (12), 870-875 , 2020
    2020.0
    Citations: 11
  • Waste to wealth: A philosophy of zero waste
    S Mishra, MS Chauhan, S Sundaramurthy, V Raj, A Vishwakarma, ...
    From waste to wealth, 85-107 , 2024
    2024.0
    Citations: 9
  • Assessment of CMIP5 and CORDEX-SA experiments in representing multiscale temperature climatology over central India
    A Vishwakarma, MK Choudhary, MS Chauhan
    Water Practice & Technology 17 (9), 1923-1936 , 2022
    2022.0
    Citations: 8
  • Non-parametric trend and the validity of a newly developed drought indicator for agricultural application over the central India region
    A Vishwakarma, MK Choudhary, MS Chauhan
    Arabian Journal of Geosciences 15 (4), 365 , 2022
    2022.0
    Citations: 8
  • Assessment of the performance of CMIP5 and CORDEX-SA models over the drought-prone Bundelkhand region, India
    A Vishwakarma, MK Choudhary, MS Chauhan
    Journal of Water and Climate Change 11 (S1), 133-144 , 2020
    2020.0
    Citations: 7
  • Impact of projected climate variability on agricultural water demand of key crops in drought-prone central India region
    A Vishwakarma, MK Choudhary, MS Chauhan
    Journal of Water and Climate Change 15 (9), 4328-4342 , 2024
    2024.0
    Citations: 5
  • Projection of drought indices trend over the lower Bundelkhand Region in Central India
    A Vishwakarma, MK Choudhary, MS Chauhan
    International Conference on Recent Advances in Civil Engineering, 991-1000 , 2022
    2022.0
    Citations: 1
  • Comparative Study of Downscaling Methods: Distribution Mapping Versus Quantile Mapping for Rainfall and Temperature Data Over Central India
    A Vishwakarma, V Poonia
    Climate Extremes and Emerging Solutions: Data-Driven Insights and Geospatial … , 2026
    2026.0
  • Runoff Simulation and Irrigation Water Requirement for Barman Command
    A Vishwakarma, MK Choudhary, MS Chauhan
    Water Resources Management and Reservoir Operation: Hydraulics, Water … , 2021
    2021.0
  • Non-parametric Trend of Drought and Its Future Applicability: A Case Study of Sagar Station
    A Vishwakarma, MK Choudhary, MS Chauhan
    Recent Trends in Civil Engineering: Select Proceedings of ICRTICE 2019, 939-944 , 2020
    2020.0
  • Projection of drought indices trend and irrigation water requirement of major crops in bundelkhand region
    A Vishwakarma
    Bhopal , 0