Research Publications in International Journals

 

31

Jothiprakash, V, J. Nirmala, R. ArunkumarPerformance Assessment of Storage-Based Polices of a Reservoir Using a Simulation Model”, Water International (Accepted)

 

30

Jothiprakash, V., and, Magar R.B, “Multi-time-step ahead daily and hourly intermittent reservoir inflow prediction by artificial intelligent technique using lumped and distributed data” Journal of Hydrology(Accepted)

 

29

Alka Kote and V. Jothiprakash, “Machine Learning Methods for Peak Inflow Forecasting in an Intermittent Reservoir” Journal of Spatial Hydrology (Accepted)

 

28

Arunkumar, R., and Jothiprakash, V.. “Reservoir evaporation prediction using data-driven techniques.” Journal of Hydrologic Engineering, ASCE,. doi:10.1061/(ASCE)HE.1943-5584.0000597

 

27

Bhosekar V.V., Jothiprakash, V., and Deolalikar, P.B.. “Orifice spillway aerators: Hydraulic Design.” Journal of Hydraulic Engineering, ASCE, doi:10.1061/(ASCE)HY.1943-7900.0000548

 

26

Zope P., T.I. Eldho and V. Jothiprakash (2012) Spatio-Temporal Analysis of Rainfall for Mumbai CityInternational Journal of Environmental Research and Development Vol. 6. No. 3, pp 545-553

 

25

Garg, V., and Jothiprakash, V. (2012). “Sediment Yield Assessment of a Large Basin Using PSIAC Approach in GIS Environment.” Water Resources Management, Vol. 26. No. 3, pp. 799-840. DOI 10.1007/s11269-011-9945-4

24

Magar R.B., and V. Jothiprakash,(2011) “Intermittent reservoir daily-inflow prediction using lumped and distributed data multi-linear regression models” Journal of Earth System Science Vol. 120. No. 6, pp 1067-1084. (DOI: 10.1007/s12040-011-0127-9)

 

23

Jothiprakash, V., Kirty, S., and Tara S. (2011). “Prediction of Meteorological Variables Using Artificial Neural Networks.” International Journal of Hydrology Science and Technology (IJHST), Vol. 1. No. 3/4, pp 192-206

 

22

Jothiprakash, V., Arunkumar, R., and Asokarajan, A. (2011). “Optimal Crop Planning Using Chance Constrained Linear Programming Model.” Water Policy, Vol. 13. No. 5, pp 734-749.

21

Jothiprakash, V., Ganesan Shanthi and R. Arunkumar (2011) “Development of Operational Policy for a Multi-reservoir System in India Using Genetic Algorithm”, Water Resources Management, Vol. 25. No. 2405-2423.

 

20

Jothiprakash, V., and Alka S. Kote, (2011) “Effect of pruning and smoothing while using M5 Model Tree Technique for Reservoir Inflow Prediction” Journal of Hydrologic Engineering, ASCE, Vol. 16, No.7, 567-574.

19

Jothiprakash, V., and Alka S. Kote, (2011) “Improving the performance of data driven techniques through data pre-processing while modeling the daily reservoir inflow” Hydrological Sciences Journal Vol. 56, No. 1, pp 168-186.

18

Garg V and V. Jothiprakash (2010) “Modeling Time Variation of Reservoir Trap EfficiencyJournal of Hydrologic Engineering, ASCE, Vol.15, No.12, pp 1001-1015.

17

Jothiprakash, V, R, Magar and Sunil K (2010) “Lumped and distributed data ANN models for an intermittent river” Journal of Flood Engineering, Vol. 1, No. 2, pp 159-173

 

16

Jothiprakash, V., and R. Mohandoss (2010) “Weekly operational planning model for a runoff river system” Water Policy, 12, pp 318-335.

 

15

Garg V and V. Jothiprakash (2010) “Reservoir Trap Efficiency Using Artificial Neural Networks” International Journal of Ecology and Development, Vol. 15, No. W10, pp 14-25

 

14

Jothiprakash, V., and Mandar V. Sathe, (2009) “Evaluation of Rainwater Harvesting Methods and Structures for a Large Scale Industry”, Journal of Water Resources and Protection, Vol. 1, No. 6, pp 427-438

 

13

Bhosekar V.V., V. Jothiprakash and P.B. Deolalikar, (2009) “Hydraulic design of spillway aerators” International Journal of Dam Engineering, Vol. XX, Bo. 2, pp117-148.

 

12

Jothiprakash, V. and Garg, V, (2009) “Reservoir Sedimentation Estimation using Artificial Neural Networks” Journal of Hydrologic Engineering, ASCE, Vol.14, No.9, pp 1035-1040.

 

11

Jothiprakash, V, R, Magar and Sunil K (2009) “Rainfall Runoff Models Using ANFIS for an Intermittent River” International Journal of Artificial Intelligence, Vol 3, No. A09, pp 1-23.

 

10

Alka Kote and V. Jothiprakash, (2009) “Monthly Reservoir Inflow Modeling using Time Lagged Recurrent Networks” International Journal of Tomography and Statistics Vol. 12, No. F09, pp 64-84.

 

9

Jothiprakash, V. and Ganesan Shanthi (2009) “Comparison of policies derived from SDP and GA models, Water Resources Management, Vol. 23(8), pp 1563-1580.

 

8

Garg V and Jothiprakash, V. (2008) “Estimation of Useful life of a Reservoir Using Sediment Trap Efficiency” International Journal of Spatial Hydrology, Vol. 8, No. 2, Fall 2008, pp 1-14.

 

7

Jothiprakash, V. and Garg, V. (2008) “Re-Look of Conventional Techniques for Trap Efficiency Estimation of a Reservoir” International Journal of Sediment Research, Vol 23, No1, pp 76-84.

 

6

Omkar Deo, Jothiprakash, V. and M.C. Deo (2008) “Genetic Programming to Predict Spillway Scour”, International Journal of Tomography and Statistics Vol. 8, No WO8, pp 32-45.

 

5

Jothiprakash, V. and Ganesan Shanthi (2006) “Single reservoir operating policies using Genetic Algorithm, Water Resources Management, Vol 20 (6), pp 917-929

 

4

Mohan, S., K. Elango, M.G. Devamane and V. Jothiprakash, (2003) “Evaluation of Mulitisite streamflow generation models”, Water Resources Journal ESCAP, ST/ESCAP/SER.C/214, June, pp 16-39.

 

3

Jothiprakash, V., and S. Mohan (2003) “Implicit stochastic approach for seasonal planning of an irrigation system” Water Resources Journal ESCAP, ST/ESCAP/SER.C/214 June, pp 40-52.

 

2

Mohan, S and V. Jothiprakash, (2003) “Development of priority based policies for conjunctive use of surface and ground water”, Water International, Vol 28, No2. pp 254 – 267.

 

1

Vairavamoorthy, K., V. Jothiprakash and S. Krishnamoorthi (2001) “Training in waste water reuse techniques”, Waterlines, Vol 19, No. 4, pp 11 to 13.

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