Soil and Water Conservation Engineering

Soil and Water Conservation Engineering

Introduction

The Department of Soil and Water Conservation Engineering plays a pivotal role in promoting sustainable land and water resource management for agricultural development. The department is committed to addressing the critical issues of soil erosion, water scarcity, land degradation, and climate change impacts through scientific principles and engineering innovations.

Established with the aim of integrating engineering solutions with environmental stewardship, the department focuses on the design, development, and evaluation of conservation practices that enhance water use efficiency, prevent land degradation, and support productive agriculture in both irrigated and rainfed areas.

Key areas of study and research include:

  • Soil erosion control techniques and modelling
  • Watershed management and planning
  • Rainwater harvesting and storage systems
  • Groundwater development and recharge
  • Hydrological modelling
  • Climate-resilient agriculture and drought mitigation

The department is equipped with modern laboratories, field instruments, and computational facilities to support practical learning, research, and extension services. It actively collaborates with national and international organizations to develop region-specific solutions for sustainable agriculture and environmental conservation.

Graduates guided by this department are trained to become agricultural engineers, researchers, policymakers, and extension professionals, capable of contributing to the sustainable management of natural resources and rural development.


Courses Program Offered

MTech (Soil and Water Conservation Engineering) and Ph.D. (Soil and Water Conservation Engineering) are starting in this Department from this academic year 2025-2026.


Dr. Pushpendra Kumar Singh
Dr. Pushpendra Kumar Singh
Associate Professor
Qualification: Ph.D
Area Of Interest/Specialization: Soil & Water Cons. Engg
Email: drpksinghwrd@gmail.com, drpsingh1wrd.nihr@gov.in
Phone No: 9429426467
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Er. Deepak Mishra
Er. Deepak Mishra
Associate Professor
Qualification: M.Tech.
Area Of Interest/Specialization: Soil & Water Conservation Engg.
Email: deepakmishrasvp@gmail.com
Phone No: 9412484754
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Dr. Vikash Singh
Dr. Vikash Singh
Assistant Professor
Qualification: Ph.D
Area Of Interest/Specialization: Soil & Water Conservation Engg.
Email: vksingh.swc.bhu@gmail.com
Phone No: 8127739143
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Research and Extension activity

Organic and Conventional crop discrimination using Biophysical parameters and crop yield estimation with multi-sensor approach on farm research site
PI: Dr. U.P shahi
Co-PI: Er. Khusboo Roy
Co-PI: Dr. Vikas Singh
Scheme: NRSC-ISRO
Approval year :2025


Field Training-cum Visit of Drip Irrigation System in collaboration with NETAFIM India.

 


Facilities

  • Computer lab for PG
  • Smart class/seminar room
  • Departmental library/study room

 

Soil and Water Conservation Engineering Laboratory 

Gallery:

Publications:

  • Singh, V., Bansal, J. K., Rani, D., Singh, P. K., Nema, M. K., Singh, S. K., & Jain, S. K. (2024). Data assimilation with machine learning for constructing gridded rainfall time series data to assess long-term rainfall changes in the northeastern regions in India. Journal of Water and Climate Change, jwc2024644.
  • Chatterjee, D., Singh, P. K., Singh, D., & Singh, V. P. (2024). A novel partitioning of gross primary production and water use efficiency for sustaining water and food security using Budyko hypothesis. Science of The Total Environment, 169283. [IF= 9.8].
  • Swagatika, S., Paul, J. C., Sahoo, B. B., Gupta, S. K., &Singh, P. K. (2024). Improving the forecasting accuracy of monthly runoff time series of the Brahmani River in India using a hybrid deep learning model. Journal of Water and Climate Change, 15(1), 139-156.
  • Swagatika, S., Paul, J. C., Sahoo, B. B., Gupta, S. K., &Singh, P. K. (2023). Improving the forecasting accuracy of monthly runoff time series of the Brahmani River in India using a hybrid deep learning model. Journal of Water and Climate Change, jwc2023487.
  • Chatterjee, D., Singh, D., Singh, P. K., Fohrer, N., & Singh, B. B. (2023). Performance evaluation of different gridded precipitation and CMIP6 model products with gauge observations for assessing rainfall variability under the historical and future climate change scenario over a semi-arid catchment, India. Physics and Chemistry of the Earth, Parts A/B/C, 103433. [IF: 3.7]
  • Pooja Patle, P.K. Singh, Ishtiyaq Ahmad, Yutaka Matsuno, Mansoor Leh, Surajit Ghosh (2023). Spatio-temporal estimation of green and blue water consumptions and water and land productivity using satellite remote sensing datasets and WA+ framework: A case study of the Mahi Basin, India. Vol. 277, 108097, Agricultural Water Management, Journal (Elsevier), [IF: 6.611. https://doi.org/10.1016/j.agwat.2022.108097.
  • Nirmal Kumar, Sudhir Kumar Singh, Pushpendra K. Singh, Dilip Kumar Gautam, Pooja Patle, H.K. Pandey, Pankaj Chauhan (2023). Water accounting of a trans-boundary river basin using satellite observations and WA+ framework. Physics and Chemistry of the Earth, Parts A/B/C, (Elsevier), [IF: 3.311] Vol. 129,103343, https://doi.org/10.1016/j.pce.2022.103343.
  • Vishal Singh, Pushpendra Kumar Singh, Sanjay Kumar Jain, Sharad Kumar Jain, Christophe Cudennec, Tim Hessels. (2022). Examining evaporative demand and water availability in recent past for sustainable agricultural water management in India at sub-basin scale. Journal of Cleaner Production (Elsevier) [IF – 11.072]. Vol. 346; DOI: 10.1016/j.jclepro.2022.130993.
  • Singh, V.G., Singh, S.K., Kumar, N., Kumar, P., Gupta, P.K., Singh, P.K., Gašparović, M., Ray, R.L. and Saito, O., (2022). Water Accounting Using Satellite Products and Water Accounting Plus Framework in a Semi-Arid Betwa River Basin, India. Water, 14(21), MDPI) [IF – 3.53]. p.3473.
  • Karan, K., Singh, D., Singh, P.K., Bharati, B., Singh, T.P. and Berndtsson, R., (2022). Implications of future climate change on crop and irrigation water requirements in a semi-arid river basin using CMIP6 GCMs. Journal of Arid Land, (Springer) [IF – 2.807]. pp.1-24.
  • Singh, P. K., Jain, S. K., Mishra, P.K., and Goel, M. K. (2022): An assessment of water consumption patterns and land productivity and water productivity using WA+ framework and satellite data inputs. Physics and Chemistry of the Earth, Parts A/B/C, (Elsevier), [IF: 3.311], Vol. 126; https://doi.org/10.1016/j.pce.2021.103053.
  • Singh, P. K., Dey, P., Jain, S. K., and Mujumdar, P. P. (2020): Hydrology and water resources management in ancient India. Hydrol. Earth Syst. Sci., (EGU), [IF:6.617], Vol. 24, 4691–4707, https://doi.org/10.5194/hess-24-4691-2020.
  • Jain, S.K. and Singh, P.K. (2020). Major Challenges That Climate Change Will Bring to Hydrologists. J. Hydrol. Eng., ASCE, [IF: 2.064], 25(9): 02520002, pp. 1-10.
  • Verma, S, Singh, P.K. Mishra, S.K., Singh, V.P., Singh, V., and Singh, A. (2020). Activation soil moisture accounting (ASMA) for runoff estimation using soil conservation service curve number (SCS-CN) method. Journal of Hydrology [IF – 6.708]., Vol. 589, 125114.
  • Gupta, SK., Singh, PK., Tyagi, JV, Sharma, G., and Jethoo, AS. (2020). Rainstorm‐generated sediment yield model based on soil moisture proxies (SMP). Hydrological Processes (Wiley);[IF: 3.784], https://doi.org/10.1002/hyp.13789.
  • Gupta, V., Jain, M.K., Singh, P.K., and Singh, V. (2020). An assessment of global satellite-based precipitation datasets in capturing precipitation extremes: A comparison with observed precipitation dataset in India. International J. of Climatology (RMetS); [IF: 3.651], DOI: 10.1002/joc.6419, Vol. 40(28), pp. 3667-3688.
  • Singh, D.; Patel, N.; Gadedjisso-Tossou, A.; Patra, S.; Singh, N.; Singh, P.K. (2020). Incidence of Escherichia coli in Vegetable Crops and Soil Profile Drip Irrigated with Primarily Treated Municipal Wastewater in a Semi-Arid Peri Urban Area. Agriculture (MDPI), [IF: 3.408],Vol. 10, 291, MDPI, https://doi.org/10.3390/agriculture10070291.
  • Nema, M.K., Thakur, H.P., Upreti, Hitesh, Jain, S.K., Mishra, P.K., Thayyen, R.T., Singh, P.K., and Jain, S.K. (2020). Estimation of evapotranspiration in lesser Himalayas using remote sensing based surface energy balance algorithm. Geocarto International, [IF: 3.450], DOI: https://doi.org/10.1080/10106049.2020.1745300.
  • Vishal Singh, Sanjay Kumar Jain, P. K Singh. (2019). Inter-comparisons and applicability of CMIP5 GCMs, RCMs and statistically downscaled NEX-GDDP based precipitation in India. Science of the Total Environment (Elsevier), [IF – 10.753]. Vol. 697, https://doi.org/10.1016/j.scitotenv.2019.134163.
  • Gupta, SK., Tyagi, JV, Singh, PK., Sharma, G., and Jethoo, AS. (2019). Soil Moisture Accounting (SMA) Based Sediment Graph Models for Small Watersheds. Journal of Hydrology (Elsevier) [IF – 6.708], Vol. 574, pp. 1129-1151, https://doi.org/10.1016/j.jhydrol.2019.04.077.
  • Gupta, S.K., Tyagi, J., Sharma, G., Jethoo, AS., and P K Singh (2019). An Event-Based Sediment Yield and Runoff Modeling Using Soil Moisture Balance/Budgeting (SMB) Method. Water Resour. Manage (Springer), IF – 4.426 33, pp. 3721–3741 https://doi.org/10.1007/s11269-019-02329-1.
  • Singh, P., & Mishra, S. (2019). Determination of curve number and estimation of runoff using Indian experimental rainfall and runoff data. Journal of Spatial Hydrology, 13(1).
  • Ghadei, S., Singh, P. and Mishra, S., (2018). Hydrological Modeling in the Ong River Basin, India using SWAT Model. Journal of Spatial Hydrology, 14(2).
  • Verma, S, Singh, P.K. Mishra, S.K., Jain, S.K., Berndtsson, R., Singh, A., Verma, R. (2018). Simplified SMA inspired 1-Parameter SCS-CN Method for Runoff Estimation. Arabian Journal of Geosciences (Springer), [IF:1.827], Vol. 11: 420. https://doi.org/10.1007/s12517-018-3736-7.
  • Verma, S, Singh, A. Mishra, S.K., Singh, P K., Verma, R. (2017). An Enhanced SMA based SCS-CN Inspired Model for Watershed Runoff Prediction., Vol. 76:736, Environmental Earth Sciences (Springer), [IF:3.119]. https://doi.org/10.1007/s12665-017-7062-2.
  • Singh, P.K., Patel, S.K., Trivedi, M.M. and Patel, G.R. (2015). Assessing the relative impacts of the factors affecting MIS adoption process. International Journal of Sustainable Development & World Ecology (Taylor & Francis) (IF = 4.870), Vol. 22(3), pp. 213-218.
  • Singh, P.K., Mishra, S.K., Berndtsson, R., Jain, M.K., and Pandey, R.P. (2015). Development of a Modified SMA Based MSCS-CN Model for Runoff Estimation. Water Resources Management Journal (Springer), IF – 4.426; Vol. 29(11), pp. 4111-4127.
  • Singh, P.K., Mishra, S.K., and Jain, M.K. (2014). A review of Synthetic Unit Hydrograph: from the empirical UH to the advanced geomorphological methods. Hydrological Sciences Journal (Taylor & Francis), (IF = 3.942); IAHS. Vol. 59(2), pp. 239-261.
  • Singh, P.K.,Yaduwanshi, B.K., Patel, S, and Ray, S. (2013). SCS-CN Based Quantification of Potential of Rooftop Catchments and Computation of ASRC for 4 Water Resources Management Journal (Springer), [IF – 4.426], Vol. 27 (7), pp. 2001-2012.
  • Singh, P. K., Jain, M.K., Mishra, S. K. (2013). Fitting a Simplified Two-Parameter Gamma Distribution Function for Synthetic Sediment Graph Derivation from Ungauged Catchments. Arabian Journal of Geosciences, (Springer), [IF:1.827], Vol. 6 (6), pp. 1835-1841; DOI: 10.1007/s12517-011-0473-6.
  • Bhunya, P. K., Jain, S.K., Singh, P. K., Mishra, S. K. (2010). A Simple Conceptual model of Sediment Yield. Water Resources Management Journal (Springer), IF – 4.426; Vol. 24(8), pp. 1697-1716, doi: 10.1007/s11269-009-9520-4.
  • Singh, P.K., Gaur, M.L., Mishra, S.K., and Rawat, S.S. (2010). An updated hydrological review on recent advancements in soil conservation service curve-number technique. Journal of Water and Climate Change (IWA); (IF = 2.803); Vol. 1 (2), pp. 118-134.
  • Bhunya, P. K., Singh, P. K., and Mishra, S. K. (2009). Fréchet and Chi-square parametric expressions combined with Horton ratios to derive a synthetic unit hydrograph. Hydrological Sciences Journal (Taylor & Francis), (IF = 3.942); Vol. 54 (2), pp. 274-286; doi: 10.1623/hysj.54.2.274).
  • Singh, P. K., Bhunya, P. K., Mishra, S. K., and Chaube, U. C. (2008). A Sediment Graph Model Based on SCS-CN Method. Journal of Hydrology (Elsevier) [IF – 6.708]; Vol. 349, pp. 244-255.
  • Bhunya, P. K., Singh, P. K., Mishra, S. K., Panigrahy, N. (2008). A Variable Storage Coefficient (VSC) Model for Rainfall-Runoff Computation. Hydrological Sciences Journal (Taylor & Francis), (IF = 3.942); IAHS, (Vol. 52(2), pp. 338-352; doi: 10.1623/hysj.53.2.338).
  • Bhunya, P. K., Berndtsson, R., Singh, P. K., and Hubert, P. (2008). Comparison between Weibull and Gamma Distributions to Derive Synthetic Unit Hydrograph using Horton Ratios. Water Resources Research (AGU); (IF = 6.16); (Vol. 44, W04421, doi: 10.1029/2007WR006031).
  • Singh, P. K., Bhunya, P. K., Mishra, S. K. and Chaube, U. C. (2007). An Extended Hybrid Model for Synthetic Unit Hydrograph Derivation. Journal of Hydrology (Elsevier) [IF – 6.708]; Vol. 336, pp. 347-360.
  • P. R. Patil, S K Mishra, S. K. Jain, and P K Singh (2018). Simplified 2-PGD based smooting of S-curve derived UH. Indian Water Resources Society (IWRS). Vol. 38(1), pp. 25-28.
  • Mishra, S. K., Singh, P.K., and Siddiqui, S.A. (2014). SCS-CN Methodology: Recent Research Trends and Advanced Hydrological Applications. Indian Water Resources Society (IWRS). Vol. 34(4), pp. 29-41.
  • Singh, P.K., Patel, S.K., Jayswal, P., and Chinchorkar. S.S. (2014). Usefulness of Class A Pan Coefficient Models for Computation of Reference Evapo-transpiration for a Semi-arid Region. MAUSAM, IMD Journal, Vol. 65(4), pp. 521-528.
  • Chinchorkar. S.S., Singh, P.K., Vaidya, V.B., and Pandey, V. (2014). Inter Annual Variability and Trends of Southwest Monsoon Rainfall over Anand in Gujarat state. MAUSAM, IMD Journal, Vol. 65(4), 553-558.
  • Singh, P.K., Mishra, S.K., and Jain, M.K. (2013). Suitability of Distribution Function Based Models for SUH Derivation Using GIS & Remote Sensing. Indian Water Resources Society (IWRS), Vol. 33 (4), pp. 33-41.
  • Singh, V., Nema, A. K. and Kar, S. (2022). Spatiotemporal Evaluation Of Drought Characteristics in South-Bihar Region Using Standardized Precipitation Index (SPI). Arabian journal of Geosciences. SPRINGER.15:1231
  • Singh, V., Kar, S., & Nema, A. K. (2021). Drought Severity Assessment In South Bihar Agro-Climatic Zone. MAUSAM, IMD, 72(4), 865–878
  • Singh,V., Nema, A.K., Chouksey, A., Kar S.K. and Das, S (2021). Spatiotemporal Soil Erosion Assessment Using RUSLE Model on Geospatial Platform for Maharashtra State. Indian Journal of Soil Conservation, ICAR- IISWC, Dehradun, U.K, Vol. 49, No. 3, pp 172-180.
  • Singh, V., Verma, R., Kumar, M. & Kumari, A. (2019) Water Requirement of Crops Using CROPWAT Model- A Case Study of Buxar District in Bihar. Current Advances in Agricultural Sciences 11(1): 47-51.
  • Singh, V., Nema, A. K., Chouksey, A., &Suryawanshi, A. (2024). Assessment of Eco-Environmental Vulnerability Using Remote Sensing and GIS Tools in Maharashtra Region, India. International Journal of Environment and Climate Change, 14(4), 119–129. https://doi.org/10.9734/ijecc/2024/v14i44103.
  • Singh, V., Nema A.K. and Kumar, K. (2021). Drought Monitoring in South Bihar Region Using Standardized Precipitation Index (SPI). Current Advances in Agricultural Sciences.13(2):101-108.