PROFILE



Department of Soil & Water Conservation Engineering


Dr. Pravendra Kumar


DESIGNATION:Professor & Head
QUALIFICATION:Ph.D.
SPECIALISATION:Soil & Water Conservation Engg., Hydrologic Modeling
EMAIL:dr[dot]pravendrakumar[at]gmail[dot]com
CONTACT NO.:+91-9568995478

Selected Research Publications

S. No. Publication Details NAAS Rating
1 Kumar, Manish, Kumari, Anuradha, Kushwaha, D.P., Kumar Pravendra, Malik, Anurag, Ali, Rawshan and Kuriqi, Alban. 2020. Estimation of stage-discharge relationship by using data-driven techniques of a perennial river, India, Sustainibility, DOI: 10.3390/su12197877. 9.25
2 Kumar, Manish and Kumar, Pravendra. 2020. Daily Suspended-sediment Concentration simulation using ANN and Wavelet ANN models, International Archives of Applied Sciences and Technology, 11(3) : 60-69. 4.36
3 Tarate, S.B., Kumar Pravendra, Kumar, Manish, Elbeltagi, Ahmed and Kuriqi, Alban. 2021. Superiority of hybrid soft computing models in daily suspended sediment estimation in highly dynamic rivers. Sustainability, DOI: 10.3390/su13020542. 9.25
4 Dumka, B.B. and Kumar, Pravendra. 2021 Modeling Rainfall-Runoff using Artificial Neural Network (ANNs) and Wavelet based ANNs (WANNs) for Haripura Dam, Uttarakhand. Indian Journal of Ecology, 48(1): 271-274. 5.79
5 Kaur, Lovepreet, Anvesha, Kumar, Manish, Verma, S. and Kumar, Pravendra. 2021. Annual maximum rainfall prediction using frequency analysis for Roorkee, Uttarakhand, India. Mausam, 72(2): 359-372. 6.64
6 Tarate, S.B., Kumar Pravendra, Kumar, Manish, Elbeltagi, Ahmed and Kuriqi, Alban. 2021. Potential of hybrid wavelet-coupled data-driven-based algorithms for daily runoff prediction in complex river basin. Theoretical and Applied Climatology, 145: 1207-1231. 9.18
7 Tarate, S.B. and Kumar, Pravendra. 2021. Characterization and trend detection of meteorological drought for a semi-arid area of Parbhani district of Indian state of Maharashtra. Mausam, 72(3): 583-596. 6.64
8 Tarate, S.B. and Kumar, Pravendra. 2021. Geospatial technology for prioritization of Koyna River basin of India based on soil erosion rates using different approaches. Environmental Science and Pollution Research, 28: 35242-35265. 10.22
9 Tarate, S.B. and Kumar, Pravendra. 2021. Effectiveness of heuristic approach for daily sediment flow prediction of Koyna river basin. J. of Soil and Water Conservation, 20(1): 12-21. 5.20
10 Tarate, S.B.and Kumar, Pravendra. 2022. Quantification of impact of spatio-temporal variability of land use/ land cover on runoff generation using modified NRCS-CN method. Arabian Journal of Geosciences, DOI: 10.1007/s12517-022-09931-5. 7.83
11 Kumar, M., Kumar, Pravendra, Kumar, Anil, Elbeltagi, Ahmed and Kuriqi, Alban. 2022. Modeling stage-discharge-sediment using support vector machine and artificial neural network coupled with wavelet transform. Applied Water Science, DOI: 10.1007/s13201-022-01621-7. 9.87
12 Rai, Priya, Kumar, Pravendra, Al-Ansari, Nadhir and Malik, A. 2022. Evaluation of Machine Learning versus Empirical Models for Monthly Reference Evapotranspiration Estimation in Uttar Pradesh and Uttarakhand States, India. Sustainability, DOI: 10.3390/su14105771. 9.25
13 • Vishwakarma, D. K., Kuriqi, Alban, Abed, S.A., Kishore, G., Al-Ansari, N., Pandey, K., Kumar, Pravendra, Kushwaha, N.L. and Jewel, A. 2023. Forecasting of stage-discharge in a non-perennial river using machine learning with gamma test. Heliyon, DOI:  • 10.1016/j.heliyon.2023.e16290. 9.78
14 Rai, P., Kumar, Pravendra and Singh, P. V. 2023. Drought characterization based on multi-scaler SPEI at Barnala district of Punjab, India. International Journal of Statistics and Applied Mathematics, 8(2S): 07-13. 4.49
15 Dumka, B.B. and Kumar, Pravendra. 2023. Comparative Analysis of Rainfall-Runoff Modeling Using Support Vector Machines for Two Dams in Uttarakhand. Journal of Modeling and Simulation of Materials, 5(1): 07-20. -
16 Anand, Shikha, Kumar, P. and Kumar, M. (2023). Development of rainfall intensity-duration-frequency relationships and nomographs for selected stations in Maharashtra, India. Mausam, 74 (3) : 707-716. 6.60
17 Tulla, P.S., Kumar, P., Vishwakarma, D.K., Kumar, R., Kuriqi, A., Kushwaha, N.L., Rajput, J., Srivastava, A., Pham, B.Q., Panda, K.C. and Kisi, O. (2024). Daily suspended sediment yield estimation using soft-computing algorithms for hilly watersheds in a data-scarce situation: a case study of Bino watershed, Uttarakhand. Theoretical and Applied Climatology, 155(5) : 1-25. 9.4
18 Mishra, R., Singh, P.V., Kumar, Anil, Singh, P.K. and Kumar, P. (2024). Modeling Evapotranspiration Using SWAT for the Middle Narmada Catchment. International Journal of Environment and Climate Change, 14(2): 634-641. 5.16
19 Gupta, S., Kumar, P., Kishore, G., Ali, R., Al-Ansari, N., Vishwakarma, D.K., Kuriqi, A., Pham, B.Q., Kisi, O., Hedam, S. and Mattar, M.A. (2024). Sensitivity of daily reference evapotranspiration to weather variables in tropical savanna: a modelling framework based on neural network. Applied Water Science, 14(138): 1-26. 11.50
20 Kumar, Aekesh, Kumar, Anil, Singh, R.P., Kumar, Pravendra and Singh, P.V. 2024. A Comparative Study of Detrending Methods on Crop Yield Time Series for Drought Studies. Asian Research Journal of Agriculture, 17(3): 191-204. 4.86
21 Joshi, M., Kumar, Pravendra, Kumar, Anil, Singh, P.V. and Tomar, A.S. 2024. Erodibility Prioritization and Mapping of a Mid Himalayan Watershed Using Technique of Order Preference by Similarity to Ideal Solution (TOPSIS). Asian Research Journal of Agriculture, 17(4): 927-939. 4.86