Your search found 5 records
1 Garg, N. K.. 1998. Two-level optimization model for Lower Indus Basin. Agricultural Water Management, 36(1):1-21.
Irrigation management ; Conjunctive use ; Irrigation canals ; Tube wells ; Surface water ; Groundwater ; Optimization ; Mathematical models ; Linear programming ; River basins ; Cropping systems / Pakistan / Indus Basin / Dadu Canal Command
(Location: IWMI-HQ Call no: PER Record No: H022344)

2 Garg, N. K.; Ali, A. 2000. Groundwater management for Lower Indus Basin. Agricultural Water Management, 42(3):273-290.
Groundwater management ; Simulation models ; Waterlogging ; Tube wells ; Conjunctive use / India / Lower Indus Basin
(Location: IWMI-HQ Call no: PER Record No: H025588)

3 Garg, N. K.; Venkateshwarlu, E. 2001. Optimal spacing of shallow tube wells in relation to conveyance losses. Journal of Irrigation and Drainage Engineering, 127(6):390-393.
Shallow tube wells ; Mathematical models ; Tube well irrigation ; Pumping ; Costs
(Location: IWMI-HQ Call no: PER Record No: H029316)

4 Garg, N. K.; Bhagat, S. K.; Asthana, B. N. 2002. Optimal barrage design based on subsurface flow considerations. Journal of Irrigation and Drainage Engineering, 128(4):253-263.
Rivers ; Weirs ; Irrigation design ; Flow channels / India
(Location: IWMI-HQ Call no: PER Record No: H030287)

5 Garg, N. K.; Azad, S. 2018. A framework model for water-sharing among co-basin states of a river basin. Journal of Hydrology, 560:289-300. [doi: https://doi.org/10.1016/j.jhydrol.2018.03.037]
Water allocation ; Cooperation ; Frameworks ; Models ; River basins ; Water demand ; Water supply ; Conflict management ; Catchment areas ; Sensitivity analysis / India / Odisha / Andhra Pradesh / Vamsadhara River Basin
(Location: IWMI HQ Call no: e-copy only Record No: H048790)
https://vlibrary.iwmi.org/pdf/H048790.pdf
(2.65 MB)
A new framework model is presented in this study for sharing of water in a river basin using certain governing variables, in an effort to enhance the objectivity for a reasonable and equitable allocation of water among co-basin states. The governing variables were normalised to reduce the governing variables of different co-basin states of a river basin on same scale. In the absence of objective methods for evaluating the weights to be assigned to co-basin states for water allocation, a framework was conceptualised and formulated to determine the normalised weighting factors of different co-basin states as a function of the governing variables. The water allocation to any co-basin state had been assumed to be proportional to its struggle for equity, which in turn was assumed to be a function of the normalised discontent, satisfaction, and weighting factors of each co-basin state. System dynamics was used effectively to represent and solve the proposed model formulation. The proposed model was successfully applied to the Vamsadhara river basin located in the South–Eastern part of India, and a sensitivity analysis of the proposed model parameters was carried out to prove its robustness in terms of the proposed model convergence and validity over the broad spectrum values of the proposed model parameters. The solution converged quickly to a final allocation of 1444 million cubic metre (MCM) in the case of the Odisha co-basin state, and to 1067 MCM for the Andhra Pradesh co-basin state. The sensitivity analysis showed that the proposed model’s allocation varied from 1584 MCM to 1336 MCM for Odisha state and from 927 to 1175 MCM for Andhra, depending upon the importance weights given to the governing variables for the calculation of the weighting factors. Thus, the proposed model was found to be very flexible to explore various policy options to arrive at a decision in a water sharing problem. It can therefore be effectively applied to any trans-boundary problem where there is conflict about water-sharing among co-basin states.

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