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Faculty details

Prof.Kironmala Chanda

Designation: Associate Professor

Department: Civil Engineering

Email: kironmala[at]iitism[dot]ac[dot]in

Contact Number:

Office Number: +91-326-223-326

Personal Page: Under Construction

Research Interest: Hydrology, Water Resources, Climate Change

Curriculum
Vitae
Publications

Teaching

  • Teaching responsibilities
    • Fluid Mechanics and Machines (UG)
    • Water Resources Engineering (UG)
    • Advanced Open Channel Flow Sessional (UG)
    • Water Resources Engineering Lab (UG)
    • Fluid Mechanics Lab (UG)
    • Environmental Engineering (UG)
    • Hydraulics and Hydraulic Machines (UG)
    • Hydraulics and Hydraulic Machines practical (UG)
    • Engineering Graphics (UG)
    • Hydroclimatology (PG)
    • Research Methodology and Statistics (PhD)

Academics

 (from 18 Jul 2011 to 8 Jan 2016)

Ph.D.

Department of Civil Engineering, Indian Institute of Technology Kharagpur, India

  • Title of Thesis: Characterization and Hydroclimatic Prediction of Droughts in the Context of Changing Climate

(from 19 Jul 2009 to 15 Jun 2011)

Master of Technology (M.Tech)

Department of Civil Engineering, Indian Institute of Technology Kharagpur, India

  • CGPA: 9.64 out of 10, First place within the specialization ‘Hydraulics and Water Resources engineering’ in the dept
  • Title of Dissertation: Assessment of Probabilistic Dependence of Rainfall and Streamflow on Outgoing Longwave Radiation using Plackett Copula.  

(from 25 Jul 2003 to 30 Jun 2007)

Bachelor of Engineering (B.E.)

Department Civil Engineering, Jadavpur University, India,

  • CGPA: 8.29 out of 10
  • Awarded Sarda memorial medal for being ‘Best Performer’ in the elective group ‘Environmental Engineering’

Position

Awards and Honors

Publications

Books Published

Book Chapters

  1. Chanda, K., Das, P., (2022). Dimensionality reduction of correlated meteorological variables by Bayesian network-based graphical modeling, in: Handbook of HydroInformatics Volume II: Advanced Machine Learning Techniques. Elsevier, pp. 69–76. https://doi.org/10.1016/B978-0-12-821961-4.00021-X
  2. Das, P., Chanda, K. (2022). Feature Selection for Rainfall Prediction and Drought Assessment Using Bayesian Network Technique. In: Kolathayar, S., Mondal, A., Chian, S.C. (eds) Climate Change and Water Security. Lecture Notes in Civil Engineering, vol 178. Springer, Singapore. https://doi.org/10.1007/978-981-16-5501-2_10
  3. Kumar S, Chanda K, Pasupuleti S, (2021), Influence of Air Temperature on Local Precipitation Extremes across India, In Climate Change Impacts on Water Resources, Edited by R. Jha, V.P. Singh, V. Singh, L.B. Roy and R. Thendiyath, Springer Nature, Switzerland, DOI: 10.1007/978-3-030-64202-0_14.
  4. Chanda K, and Maity R, (2017), Global Climate Pattern Behind Hydrological Extremes in Central India, In Climate Change Impact (ICWEES 2016), Edited by V.P. Singh et al., Springer Nature Singapore, pp. 71-89, DOI: 10.1007/978-981-10-5714-4_6.
  5. Maity R and Chanda K, (2015), Potential of Genetic Programming in Hydroclimatic Prediction of Droughts: An Indian Perspective, Handbook of Genetic Programming Applications, Edited by A. H. Gandomi, A. H. Alavi, and C. Ryan, Springer, pp. 381-398, DOI: 10.​1007/​978-3-319-20883-1_​15, 381-398.

List Of Research Publications (only in Peer-reviewed Journals)

Peer Reviewed Journals

  1. Das, P., Chanda, K., 2025. Selection of optimum GCMs through Bayesian networks for developing improved machine learning based multi-model ensembles of precipitation and temperature. Stoch Environ Res Risk Assess 39, 155–179). https://doi.org/10.1007/s00477-024-02856-3
  2. Kumar, S., Das, P., Mandal, N., Chanda, K., & Pasupuleti, S. 2024. Joint probabilistic behaviour of climate extremes over the Godavari River basin, India. International Journal of Climatology, 44(9), 2876–2896. https://doi.org/10.1002/joc.8486
  3. Mahmoudi, P., Maity, R., Amir Jahanshahi, S.M., Chanda K., 2024. Changing Pattern of Drought Proneness Across Iran. Iran J Sci Technol Trans Civ Eng 48, 4709–4729. https://doi.org/10.1007/s40996-024-01579-3
  4. Mandal, N. and Chanda, K., 2023. Contribution of climate and catchment characteristics to runoff variations in Indian river basins: a climate elasticity approach. Hydrological Sciences Journal, pp.1-18.
  5. Mandal, N. and Chanda, K., 2023. Performance of machine learning algorithms for multi-step ahead prediction of reference evapotranspiration across various agro-climatic zones and cropping seasons. Journal of Hydrology, 620, p.129418.
  6. Kumar, S., Chanda, K. and Pasupuleti, S., 2023. Association of tropical daily precipitation extremes with physical covariates in a changing climate. Stochastic Environmental Research and Risk Assessment, pp.1-19.
  7. Das, P. and Chanda, K., 2023. A Bayesian network approach for understanding the role of large-scale and local hydro-meteorological variables as drivers of basin-scale rainfall and streamflow. Stochastic Environmental Research and Risk Assessment, 37(4), pp.1535-1556.
  8. Das, P., Sachindra, D.A. and Chanda, K., 2022. Machine learning-based rainfall forecasting with multiple non-linear feature selection algorithms. Water Resources Management, 36(15), pp.6043-6071.
  9. Kumar, S., Chanda, K. and Pasupuleti, S., 2022. Pre-and post-1975 scaling relationships of monsoon and non-monsoon hourly precipitation extremes with coincident temperature across urban India. Journal of Hydrology, 612, p.128180.
  10. Mahmoudi, P., Maity, R., Amir Jahanshahi, S.M. and Chanda, K., 2022. Changing spectral patterns of long‐term drought propensity in Iran through reliability–resilience–vulnerability‐based Drought Management Index. International Journal of Climatology, 42(8), pp.4147-4163.
  11. Dutta, R., Chanda, K. and Maity, R., 2022. Future of solar energy potential in a changing climate across the world: A CMIP6 multi-model ensemble analysis. Renewable Energy, 188, pp.819-829.
  12. Maity R, Khan MI, Sarkar S, Dutta R, Maity SS, Pal M and Chanda K, (2021), Potential of Deep Learning in Drought Assessment by Extracting Information from Hydrometeorological Precursors, Journal of Water and Climate Change, IWA Publishing, DOI: 10.2166/wcc.2021.062.
  13. Das P and Chanda K, (2020). Bayesian Network based modeling of regional rainfall from multiple local meteorological drivers. Journal of Hydrology, Elsevier, 591, 125563, DOI: 10.1016/j.jhydrol.2020.125563.
  14. Kumar S, Chanda K, Pasupuleti S, (2020), Spatio-temporal Analysis of Extreme Indices derived from Daily Precipitation and Temperature for Climate Change Detection over India, Theoretical and Applied Climatology, Springer, DOI: 10.1007/s00704-020-03088-5.
  15. Maity R, Chanda K, Dutta R, Ratnam JV, Nonaka M, Behera SK, (2020), Contrasting features of hydroclimatic teleconnections and predictability of seasonal rainfall over east and west Japan, Meteorological Applications, Royal Meteorological Society, DOI: 10.1002/met.1881.
  16. Chanda K and Maity R, (2017), Assessment of Trend in Global Drought Propensity in the Twenty-First Century Using Drought Management Index, Water Resources Management, 31: 1209. DOI:10.1007/s11269-017-1571-3.
  17. Chanda K and Maity R (2016), Uncovering Global Climate Fields Causing Local Precipitation Extremes, Hydrological Sciences Journal, Taylor and Francis, DOI: 10.1080/02626667.2015.1006232.
  18. Maity R, Aggrawal A and Chanda K, (2016), Do CMIP5 models hint at a warmer and wetter India in the twenty-first century?, Journal of Water and Climate Change, DOI: 10.2166/wcc.2015.126.
  19. Chanda K and Maity R, (2015), Meteorological Drought Quantification with Standardized Precipitation Anomaly Index (SPAI) for the Regions with Strongly Seasonal and Periodic Precipitation, Journal of Hydrologic Engineering, ASCE, DOI: 10.1061/(ASCE)HE.1943-5584.0001236, 06015007-1 to 06015007-7.
  20. Chanda K, Maity R, Sharma A and Mehrotra R, (2014), Spatiotemporal variation of long-term drought propensity through reliability-resilience-vulnerability based Drought Management Index, Water Resources Research, AGU, 50(10), DOI: 10.1002/2014WR015703, 7662–7676.
  21. Maity R, Sharma A, Nagesh Kumar D and Chanda K, (2013), Characterizing drought using the reliability-resilience-vulnerability concept, Journal of Hydrologic Engineering, ASCE 18(7), 859–869, DOI:10.1061/(ASCE)HE.1943-5584.0000639.

Papers in conference abstract volumes / presented

Conferences (Recent)

  1. Mandal, N., Das, P., and Chanda, K. (2024). Performance of two-step technique for gap-filling and reconstruction of basin-scale Terrestrial Water Storage Anomalies (TWSA) , EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-18755, https://doi.org/10.5194/egusphere-egu24-18755, 2024.
  2. Mandal, N.S., Kumar, S, Chanda, K. (2023) Urban Heat Islands (UHI) or Urban Cool Islands (UCI): Examining the Spatial Variation of Land Surface Temperature (LST) in the City of Bongaigaon, India, HYDRO 2023, NIT Warangal, India, 21-23 Dec 2023.
  3. Mandal, N., Chanda, K. (2023). Comparison of Neural network based and Kernel based Machine Learning approaches for daily forecasting of reference evapotranspiration in data scarce regions, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-11950, DOI: 10.5194/egusphere-egu23-11950
  4. Das, P. and Chanda, K. (2023). Influence of large-scale climate modes and local hydrometeorological factors in predicting basin scale rainfall and streamflow: A Bayesian network approach, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23 3826, https://doi.org/10.5194/egusphere-egu23-3826, 2023.
  5. Kumar S, Chanda K, Pasupuleti S, (2022), Scaling relationships of sub-daily precipitation extremes with temperature for monsoon and non-monsoon months in India, American Geophysical Union (AGU) Fall Meeting 2022.
  6. Das, P., Chanda, K., (2022). Potential of Bayesian Network for regional rainfall prediction from multiple meteorological drivers, American Geophysical Union (AGU) Fall Meeting 2022. https://doi.org/10.13140/RG.2.2.30666.24009
  7. Das, P., Chanda, K., and Maity, R (2020). How useful are CORDEX products for the assessment of future agricultural drought propensity across the Indian subcontinent? EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-15885, https://doi.org/10.5194/egusphere-egu2020-15885
  8. Kumar S, Chanda K, Pasupuleti S, (2020), Spatio-temporal variation of extreme indices derived from observed and reanalysis products for detection of climate change across India, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-5837.
  9. Maity R, Chanda K, Dutta R, Ratnam VJ, Nonaka M, and Behera S, (2020), How dissimilar are the large-scale hydroclimatic precursors and predictability of anomalous monthly rainfall in east and west Japan?,EGU General Assembly Conference Abstracts, 10496, (online format)
  10. Chanda K, Maity R, (2019), Hydroclimatic Prediction using Machine Learning Approach incorporating Time-varying Concept, In the Proceedings of the 16th Annual Meeting of Asia Oceania Geosciences Society (AOGS 2019), Jul 28-Aug 02, 2019, Singapore.
  11. Kumar S, Chanda K, Pasupuleti S, (2018), Influence of Air Temperature on Local Precipitation Extremes across India, HYDRO 2018, NIT Patna, India, 19-21 Dec 2018.

Projects & Activities

Sponsored Research Projects (External Funded)

As Principal Investigator (PI)

  • Assessment of basin scale terrestrial water balance closure and evaluation of its uncertainty,   Duration: 2023-2026, Sanctioning Authority: DST SERB (CRG scheme), Amount: INR 22.26 lakhs
  • Assessment of the Relationship between Global Climatic Precursors and Hydrological Extremes through Probabilistic Graphical Models, Duration: 2018-2022, Sanctioning Authority: DST SERB (ECR scheme), Amount INR 25.5 lakhs
  • Potential of Artificial Intelligence Techniques in Prediction of Extreme Rainfall from General Circulation Model (GCM) outputs, Duration 2017-2019, Sanctioning Authority: TEQIP III GoI (MRP scheme), Amount INR 2 lakhs

As Co-PI

  • Concept of temporal networks in hydroclimatic modelling in a changing climate: Application to streamflow and drought, Duration: 2023-2026, Sanctioning Authority: MoES, Amount: INR 44.06 lakhs
  • Spatio-temporal drought characterization and its future trend in Iran in a changing climate, Duration: 2018-2020, Sanctioning Authority:  DST (scheme:  India-Iran Bilateral Scientific and Technological Cooperation, India-Iran Joint Research Projects 2018), Amount: INR 12 lakhs
  • Scientific study on stability of proposed diversion of Bokkalavagu nallah over goaved out Longwall Panels of GDK-10 Incline on the surface and assessment of Impact of blasting in RG OCP-I on embankment of proposed divertion nallah and assessment of water danger to Adriyala Longwall Project, RG OCP-I Expansion, Duration: 2021 (6 months), Sanctioning Authority: Singareni Coalfields (SCCL), India, Amount INR 9.73 lakhs
  • Delineation of the Administrative Boundary of the Banki River, Garhwa District, Jharkhand: An Implication in Restoration and Conservation of the Ganga River Basin, Duration: 2021-2023,   Sanctioning Authority: IIT (ISM) Dhanbad, Amount INR 32.65 lakhs

Consultancy Project (for ONGC)

As CI

  • A comprehensive run-off management study inside the Mining Lease areas of Bolani Ores Mines, RSP, M/s SAIL – awarded in 2023-24 (ongoing) – funded by RSP, SAIL - amount 34.81 lakhs
  • Checking the hydrological analysis in the design for construction of a new proposed RUB at Gaya bridge, Dhanbad near the existing RUB – awarded in 2022-23 (completed) – funded by Dhanbad Road Division – amount 3.00 lakhs

As Co-CI

  • Third party evaluation of DPR for Water supply Project under Jharkhand Mineral Development Authority (JMADA) – awarded in 2018-19 (completed) – funded by JMADA -  amount 9.81 lakhs

Membership of Scientific Societies

Indian Water Resources Society (IWRS)

Other Academic and Administrative Activities

Reviewed research manuscripts for:

Journal of Hydrology, ASCE-Journal of Hydrologic Engineering, Water Resources Research, Water Resources Management, Journal of Water and Climate Change, Stochastic Environmental Research and Risk Assessment, Current Science, Journal of Earth System Science etc.

 

 

     Department level Administrative Activity :

  • Member of Departmental Post Graduate Committee (DPGC): 2020-2023
  • Lab-in-charge (Hydrology /Water Resources): 3 years

     Institute level Administrative Activity :

  • Faculty-in-charge (FIC) Academic (UG): Nov 2023 – Sep 2024
  • Vice-chairperson, Career Development Centre (CDC): Oct 2021 – Oct 2023 (2 years)
  • Chief Hostel Warden/ Warden: July 2018 – Jun 2021 (3 years)

Guidance

Details of PhD guiding/guided (Full time)

PhD completed:

1. Sachidanand Kumar (shared with co-guide)

2. Prabal Das 

PhD ongoing:

1. Nehar Mandal

2. Nirup Sundar Mandal

3. Arindam Roy (as co-guide)

4. Prashant Kumar

5. Ved Prakash (shared with co-guide)

6. Utkarsh Deepankar (shared with co-guide)

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