Welcome to College of Technology, Pantnagar

Department : Soil and Water Conservation Engineering
Email-id: pravendrak_05@yahoo.co.in
Designation: Professor
Research Interests:

1.  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.

2.  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.

3.  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.

4.  Dumka, B.B. and Kumar, Pravendra. 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.  Kumar, Manish and Kumar, Pravendra. 2021. Stage-discharge-sediment modelling using support vector machine. The Pharma Innovation Journal, SP-10(1): 149-154.

6.  Kumar, Ashish, Kumar, Pravendra and Tripathi, V.K. 2021. Runoff and sediment estimation using ANN and ANFIS: Case study of Godavari Basin, India. Book Chapter: Field Practices for Wastewater Use in Agriculture, DOI: 10.1201/9781003034506-18.

7.  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.

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.

9.  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

10.  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.

11.  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.

12.  Rawat, Amit, Kumar, Pravendra and Deoli, Vaibhav. 2019. Daily Monsoon Rainfall Prediction using Artificial Neural Network (ANN) for Parbhani District of Maharashtra, International Journal of Current Microbiology and Applied Sciences, 8(12) : 1949-1963.

13.  Tarate, S.B., Kumar, Pravendra and Kumar, Anil. 2019. Application of remote sensing and GIS for morphometric analysis of watershed: A Review, International Journal of Chemical Studies, 7(2) : 709-713

14.  Kumar, Ashish, Kumar, Pravendra and Singh, V.K. 2019. Evaluating Different Machine Learning Models for Runoff and Suspended Sediment Simulation. Water Resources Management, DOI: 10.1007/s11269-018-2178-z.

15.  Tarate, S.B., Kumar, Pravendra and Kumar, Anil.2018. Spatio-Temporal Variability of Land use/Land Cover within Koyna River Basin, International Journal of Current Microbiology and Applied Sciences, 7(09) : 944-953.

16.  . Kumari, Pratibha, Kumar, Pravendra and Singh, P.V. 2018. Rainfall-Runoff Modelling Using Artificial Neural Network and Adaptive Neuro-Fuzzy Inference System. Indian Journal of Ecology, 45(2) : 281-285.

17.  Nivesh, Shreya and Kumar, Pravendra. 2018. River suspended sediment load prediction using neuro-fuzzy and statistical models: Vamsadhara river basin, India. Indian J. Soil Conservation, 46(1): 68-76.

18.  Nivesh, Shreya, Kumar, Pravendra, Sawant, Pragat and Verma, Ramesh. 2018. Application of Fuzzy Logic and Statistical Approaches for Estimation of Suspended Sediment Concentration. International Journal of Current Microbiology and Applied Sciences, 7(2) : 3716-3733.

FDP Attended:

FDP Organised:



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