Dr. Ashutosh Sharma

Dr. Ashutosh Sharma

Assistant Professor, Department of Hydrology, IIT Roorkee

Publications

An updated list of publiscation is available my Google Scholar profile.

Journal Articles

2024

  1. Vijaykumar Bejagam, Ashutosh Sharma*, Xiaohua Wei (2024) “Projected decline in the strengths of vegetation carbon sequestration under climate change in India”, Science of the Total Environment, 916, 170166. https://doi.org/10.1016/j.scitotenv.2024.170166
  2. Nikunj K. Mangukiya and Ashutosh Sharma* (2024) “Alternate Pathway for Regional Flood Frequency Analysis in Data-sparse Region”, Journal of Hydrology, 629, 130635. https://doi.org/10.1016/j.jhydrol.2024.130635

2023

  1. Ankit Agarwal, Archana Sarkar, Ashish Pandey, Arun Kumar, and Ashutosh Sharma (2023) “Editorial of “Water security for sustainable development”.” Water Security, 20, 100157. https://doi.org/10.1016/j.wasec.2023.100157
  2. Yanan Chen, Xuguang Tang, Li Yao, Yan Zhao, Guo Li, Chaoyang Wu, Yanlian Zhou, Ashutosh Sharma (2023) “Management practices regulate the response of canopy and ecosystem water use efficiency in cropland ecosystems”. Field Crops Research, 304, 109166. https://doi.org/10.1016/j.fcr.2023.109166
  3. Nikunj K. Mangukiya, Abhishek Kumar, and Ashutosh Sharma* (2023) “Machine Learning-based Regional Flood Frequency Analysis of Indian Watersheds”, CLEAN - Soil, Air, Water, Wiley. https://doi.org/10.1002/clen.202300120
  4. Pooja Patle, Ashutosh Sharma* (2023) “Evaluation of Water Resources in a Complex River Basin using Water Accounting Plus (WA+): A case study of Mahi River Basin in India”, ASCE Journal of Water Resources Planning and Management, 149 (12). https://doi.org/10.1061/JWRMD5.WRENG-6125.
  5. Nikunj K. Mangukiya, Ashutosh Sharma*, Chaopeng Shen (2023) “How to enhance hydrological predictions in hydrologically distinct watersheds of the Indian subcontinent?”, Hydrological Processes, 37(7), e14936. https://doi.org/10.1002/hyp.14936
  6. Joel Z. Harms, Julien J. Malard, Jan F. Adamowski, Ashutosh Sharma, and Albert Nkwasa (2023) “Dynamically Coupling System Dynamics and SWAT+ Models using Tinamït: Applications of Modular Tools for Coupled Human-Water Systems Models”, Hydrology and Earth System Sciences, 27(8), 1683–1693. https://doi.org/10.5194/hess-27-1683-2023.
  7. Vijaykumar Bejagam, Akriti Singh, Ashutosh Sharma* (2023) “Spatiotemporal variability and controlling factors of ecosystem water use efficiency in India” Theoretical and Applied Climatology, 152, 816-824. DOI: https://doi.org/10.1007/s00704-023-04418-z.

2022

  1. Gilbert Hinge, Jay Piplodiya, Ashutosh Sharma, Mohamed A. Hamouda*, Mohamed M. Mohamed (2022) “Evaluation of Hybrid Wavelet Models for Regional Drought Forecasting”, Remote Sensing, 2022, 14(24), 6381; https://doi.org/10.3390/rs14246381.
  2. Vijaykumar Bejagam, Ashutosh Sharma* (2022) “Remote sensing-based multi-scale characterization of ecohydrological indicators (EHIs) in India”, Ecological Engineering, 187, 106841. https://doi.org/10.1016/j.ecoleng.2022.106841.
  3. Gilbert Hinge, Biswadeep Bharali, Anupal Baruah, Ashutosh Sharma* (2022) “Integrated groundwater quality analysis using Water Quality Index, GIS and multivariate technique: a case study of Guwahati City”. Environmental Earth Sciences, 81, 412 (2022). https://doi.org/10.1007/s12665-022-10544-0.
  4. Vijaykumar Bejagam, Ashutosh Sharma* (2022) “Impact of climatic changes and anthropogenic activities on ecosystem net primary productivity in India during 2001–2019”, Ecological Informatics, 70, 101732. https://doi.org/10.1016/j.ecoinf.2022.101732.
  5. Ashutosh Sharma*, Anupal Baruah, Nikunj Mangukiya, Gilbert Hinge, and Biswadeep Bharali (2022) “Evaluation of Gangetic dolphin habitat suitability under hydroclimatic changes using a coupled hydrological-hydrodynamic approach”. Ecological Informatics, 69, 101639. https://doi.org/10.1016/j.ecoinf.2022.101639.
  6. Nikunj K. Mangukiya and Ashutosh Sharma* (2022) “Flood risk mapping for the lower Narmada basin in India: a machine learning and IoT-based framework”. Natural Hazards, 113, 1285-1304. https://doi.org/10.1016/j.ecoinf.2022.101639.

2021

  1. Saket Dubey, Ashutosh Sharma, Venkatesh Kishor Panchariya, Manish Kumar Goyal, Rao Y. Surampalli, Tian C. Zhang (2021). “Regional sustainable development of renewable natural resources using Net Primary Productivity on a global scale” Ecological Indicators, 127, 107768. https://doi.org/10.1016/j.ecoinf.2022.101639.
  2. Kai Ma, Dapeng Feng, Kathryn Lawson, Wen-Ping Tsai, Chuan Liang, Xiaorong Huang, Ashutosh Sharma, Chaopeng Shen (2021). “Transferring Hydrologic Data Across Continents–Leveraging Data‐Rich Regions to Improve Hydrologic Prediction in Data‐Sparse Regions”. Water Resources Research, 57(5), e2020WR028600. https://doi.org/10.1029/2020WR028600. [Top Cited Article 2021-2022]
  3. Judy P. Che-Castaldo, Rémi Cousin, …, Ashutosh Sharma, Chaopeng Shen, …, David S. Matteson (2021). “Critical Risk Indicators (CRIs) for the electric power grid: A survey and discussion of interconnected effects.” Environment Systems and Decisions, 41, 594–615. https://doi.org/10.1007/s10669-021-09822-2

2020

  1. Ashutosh Sharma* and Manish Kumar Goyal (2020) “Assessment of Drought Trend and Variability in India using Wavelet Transform”, Hydrological Sciences Journal, 65(9), 1539-1554. https://doi.org/10.1080/02626667.2020.1754422
  2. Ashutosh Sharma* and Manish Kumar Goyal (2020) “Assessment of the Changes in Precipitation and Temperature in Teesta River Basin in Indian Himalayan Region under Climate Change”, Atmospheric Research, 231, 104670. https://doi.org/10.1016/j.atmosres.2019.104670

2019

  1. Srinidhi Jha, Jew Das, Ashutosh Sharma, Budhaditya Hazra and Manish Kumar Goyal (2019) “Probabilistic evaluation of vegetation drought likelihood and its implications to resilience across India”, Global and Planetary Change, 176, 23-35. https://doi.org/10.1016/j.gloplacha.2019.01.014
  2. Manas Khan, Ashutosh Sharma and Manish Kumar Goyal (2019) “Assessment of future water provisioning and sediment load under climate and LULC change scenarios in a peninsular river basin, India”, Hydrological Sciences Journal, 64(4), 405-419. https://doi.org/10.1080/02626667.2019.1584401

2018

  1. Ashutosh Sharma and Manish Kumar Goyal (2018) “District-level assessment of the ecohydrological resilience to hydroclimatic disturbances and its controlling factors in India”, Journal of Hydrology, 564, 1048–1057. https://doi.org/10.1016/j.jhydrol.2018.07.079
  2. Ashutosh Sharma and Manish Kumar Goyal (2018) “Assessment of ecosystem resilience to hydroclimatic disturbances in India”, Global Change Biology, 24(2), e432–e441. https://doi.org/10.1111/gcb.13874
  3. Jhilam Sinha, Ashutosh Sharma, Manas Khan, and Manish Kumar Goyal (2018) “Assessment of the impacts of climatic variability and anthropogenic stress on hydrologic resilience to warming shifts in Peninsular India”, Scientific Reports, 8(1), 1383. https://doi.org/10.1038/s41598-018-32091-0
  4. Manish Kumar Goyal, Venkatesh Panchariya, Ashutosh Sharma, and Vishal Singh (2018) “Comparative assessment of SWAT model performance in two distinct catchments under various DEM scenarios of varying resolution, sources and resampling methods”, Water Resources Management, 32(2), 805–825. https://doi.org/10.1007/s11269-017-1840-1

2017

  1. Manish Kumar Goyal, Ashutosh Sharma, Konstantinos Katsifarakis (2017) “Prediction of flow rate of Karstic springs using Support Vector Machines”, Hydrological Sciences Journal, 62(13), 2175-2186. https://doi.org/10.1080/02626667.2017.1371847
  2. Vishal Singh, Ashutosh Sharma and Manish Kumar Goyal (2017) “Projection of hydro-climatological changes over eastern Himalayan catchment by the evaluation of RegCM4 RCM and CMIP5 GCM models”, Hydrology Research, 50(1), 117-137. https://doi.org/10.2166/nh.2017.193

2016

  1. Ashutosh Sharma and Manish Kumar Goyal (2016) “A comparison of three soft computing techniques, Bayesian regression, support vector regression, and wavelet regression, for monthly rainfall forecast”, Journal of Intelligent Systems, 26(4), 641-655. https://doi.org/10.1515/jisys-2016-0065
  2. Manish Kumar Goyal and Ashutosh Sharma (2016) “A Fuzzy c-Means approach regionalization for analysis of meteorological drought homogeneous regions in Western India”, Natural Hazards, 84, 1831-1847. https://doi.org/10.1007/s11069-016-2520-9
  3. Ashutosh Sharma and Manish Kumar Goyal (2016) “Bayesian network for monthly rainfall forecast: a comparison of K2 and MCMC algorithm”, International Journal of Computers and Applications, 38(4), 199-206. https://doi.org/10.1080/1206212X.2016.1237131

Patents

  1. Hitesh Singh, Vivek Kumar, Ashutosh Sharma (2023) “Smart Rain Gauge Device”, Registered Design No. 386453-001, Date: 17/05/2023.

Book Chapters

  1. Priyank J. Sharma and Ashutosh Sharma* (2023) “Spatio-temporal drought analysis”, Chapter 2 in Integrated Drought Management, Vol. 2, CRC Press. Edited by: Vijay P. Singh, Deepak Jhajharia, Rasoul Mirabbasi, Rohitashw Kumar. ISBN: 9781032231587.
  2. Ashutosh Sharma*, Vijaykumar Bejagam and Manish K. Goyal (2022). “Hydro-Meteorological Extremes and Disasters” In: Hydro-Meteorological Extremes and Disasters, Springer. Edited by: Manish Kumar Goyal, Anil Kumar Gupta, Akhilesh Gupta.
  3. Manish Kumar Goyal, Ashutosh Sharma, and Rao Y. Surampalli (2020) “Remote Sensing and GIS Applications in Sustainability”, Chapter 28 in Sustainability: Fundamentals and Applications. Edited by: R. Y. Surampalli, T. C. Zhang, M. K. Goyal, S. K. Brar and R. D. Tyagi.
  4. Ashutosh Sharma, Manish Kumar Goyal and Deepak Jhajharia (2017) “Application of machine learning techniques in drought forecast”, Chapter 20 in Sustainable Holistic Water Resources Management in a Changing Climate, Pages 351-365, M/S Jain Brothers, New Delhi, Edited by: K. S. Raju and A. Vasan.
  5. Manish Kumar Goyal and Ashutosh Sharma (2017) “Regionalization of drought prediction”, Chapter 15 in Handbook of Drought and Water Scarcity: Principles of Drought and Water Scarcity. Vol. 1, 253–278, Taylor and Francis, Edited by S. Eslamian and F. A. Eslamian.

Conferences

  1. Nikunj K. Mangukiya and Ashutosh Sharma (2023) “Machine Learning-based Flood Risk Mapping Framework for the Lower Narmada Basin in India”, the 13th International Conference of the International Society for the Integrated Disaster Risk Management (IDRiM 2023), IIT Roorkee, India, 28-30 September 2023, IDRiM2023/ABSN/166.
  2. Nikunj K. Mangukiya and Ashutosh Sharma* (2023) “Hydrological Modeling in Data-Sparse Regions Using Long Short-Term Memory Network: A Case Study in India”, The 28th General Assembly of the International Union of Geodesy and Geophysics (IUGG 2023), Germany, 11-20 July 2023. https://doi.org/10.57757/IUGG23-0081
  3. Vijaykumar Bejagam and Ashutosh Sharma (2023). Characterization of ecohydrological indicators (EHIs) in India: a multi-scale perspective. EGU23. https://doi.org/10.5194/EGUSPHERE-EGU23-340
  4. Nikunj K. Mangukiya and Ashutosh Sharma (2023). Evaluating Machine Learning Approach for Regional Flood Frequency Analysis in Data-sparse Regions. EGU23. https://doi.org/10.5194/EGUSPHERE-EGU23-1278
  5. Pooja Patle, Ashutosh Sharma, Singh, P. K., Ahmad, I., Matsuno, Y., Leh, M., & Ghosh, S. (2023). Assessment of Water Consumption Pattern & Agricultural Production using Water accounting Plus (WA+) Framework: A case study of Mahi River basin; EGU23. https://doi.org/10.5194/EGUSPHERE-EGU23-2510
  6. Akriti Singh, Vijaykumar Bejagam, and Ashutosh Sharma (2023). Examining the role of groundwater in the spatio-temporal variation of Ecosystem Water Use Efficiency in India. EGU23. https://doi.org/10.5194/EGUSPHERE-EGU23-1618
  7. Tapobeeva Sahoo, Vijaykumar Bejagam, and Ashutosh Sharma (2023). Assessment of compound extremes using statistical methods in India. EGU23. https://doi.org/10.5194/EGUSPHERE-EGU23-2305
  8. Vijaykumar Bejagam, and Ashutosh Sharma (2023) “Characterization of ecohydrological indicators (EHIs) at multi-spatial scales in India.” National conference on “Land-atmosphere interactions controlling weather & climate: Applications of numerical models and observations (LAI-2023)”, 09-12 January 2023, held at National Institute of Technology, Rourkela.
  9. Akriti Singh, Vijaykumar Bejagam, and Ashutosh Sharma (2022) “Role of groundwater in spatiotemporal variations of Water Use Efficiency in India.” 9th International Ground Water Conference (IGWC) 2022, 02-04 November 2022.
  10. Vijaykumar Bejagam and Ashutosh Sharma (2022). “Quantification of impacts of climate change and anthropogenic activities on ecosystem net primary productivity in India using residual trend (RESTREND) analysis”, AsiaFlux 2022 Conference, 22-24 September 2022.
  11. Ashutosh Sharma*, Vijaykumar Bejagam and A.K. Singh (2021). “Streamflow prediction using Long Short-Term Memory (LSTM) model across 55 hydrologically-distinct watersheds in India.” AGU fall meeting 2021, 13-17 December 2021.
  12. Ashutosh Sharma*, Vijaykumar Bejagam (2021). “Impact of Climatic Changes and Anthropogenic Activities on Ecosystem’s Net Primary Productivity in India during 2001-2019.” Second International Conference on Natural Hazards and Risks in a Changing World 2021, 5 – 6 October 2021.
  13. Apurv Vishwakarma, Vijaykumar Bejagam, Ashutosh Sharma* “A review on the influence of droughts on Ecosystems and Ecosystem Services (ES)”, International Conference on Ecosystem Restoration for Resilience and Sustainability: Living with nature (2021) (World environment Day- Launch of UN decade for Ecosystem Restoration), June 5th- June 7th, 2021.
  14. Gilbert Hinge and Ashutosh Sharma (2021). Comparison of wavelet and machine learning methods for regional drought prediction (No. EGU21-218). Copernicus Meetings.
  15. Ashutosh Sharma and Chaopeng Shen (2020). Improving multi-month streamflow forecast in CONUS using Long-Short Term Memory (LSTM) networks. In AGU Fall Meeting 2020. AGU.
  16. Liu, J., Ashutosh Sharma, Tsai, W. P., Ma, K., Feng, D., Lawson, K., & Shen, C. (2020). Automated deep-learning-based soil moisture planning and forecast system for planning against natural disasters. In AGU Fall Meeting 2020. AGU.
  17. Ashutosh Sharma, Manish Kumar Goyal and Arup Kumar Sarma (2018) “Comparative assessment of ecosystem resilience to droughts in two large scale river basins in India”, AGU Fall Meeting 2018, Session: H51K: Drought: Dynamics, Impacts, Resilience, and Mitigation I Posters, Washington DC, US. 10-14 Dec 2018.
  18. Ashutosh Sharma, Manish Kumar Goyal and Arup Kumar Sarma (2018) “Remote sensing-based assessment of terrestrial ecosystem resilience to droughts in India”. Midwest Big Data Hub Digital Agriculture All Hands meeting, University of Nebraska-Lincoln, 21 September 2018.
  19. Manish Kumar Goyal and Ashutosh Sharma (2017) “Wavelet transform based trend analysis for drought variability over 566 stations in India”. 10th World Congress on Water Resources and Environment (Panta Rhei), European Water Resources Association (EWRA), Athens, Greece, 5-9 July 2017.
  20. Ashutosh Sharma, Manas Khan, and Manish Kumar Goyal (2017) “Assessment of the impact of changes in climate and land use / land cover on ecosystem services of a river watershed in Peninsular India”, Sixth International Conference on Environmental Management, Engineering, Planning & Economics (CEMEPE). Thessaloniki, Greece, 159.
  21. Francisco Munoz-Arriola, Ashutosh Sharma, Katherine Werner, Juan-Carlos Chacon, Gerald Corzo, Manish-Kumar Goyal (2017) “Hydrocentric view of agro-ecosystem resiliency to extreme hydrometeorological and climate events in the High Plains, US”. In EGU General Assembly Conference Abstracts, Vol. 19, Pages 11865. 2017.
  22. Manish Kumar Goyal and Ashutosh Sharma (2017) “Assessment of the ecosystem resilience in an urbanized river basin in India”. ASCE India Conference 2017 on Urbanization Challenges in Emerging Economies: Moving Towards Resilient Sustainable Cities and Infrastructure, 12-14 Dec 2017.
  23. Ashutosh Sharma and Manish Kumar Goyal (2016) “Modelling rainfall prediction using Bayesian approach with interstation dependencies.” In the proceedings of Sixth IEEE International Conference on Communication Systems and Network Technologies (CSNT), Chandigarh.
  24. Ashutosh Sharma and Manish Kumar Goyal (2015) “Bayesian network model for monthly rainfall forecast.” In the proceedings of 2015 IEEE International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN), Kolkata, India, 241–246. IEEE.