Abstract
The interdependence among energy, water, food, and land sectors has been addressed through the concept of Energy-Water-Food-Land nexus (EWFLN), where interconnections between different sectors generate complex feedback loops. In the field of EWFLN, transitioning from deterministic to stochastic approach is considered as the natural choice for policy makers. Working with a large number of uncertain parameters can make a stochastic system complex. Therefore, Identification of the significant uncertain parameters in the system would create a more acceptable model before transforming from a deterministic to a stochastic approach. This study incorporates uncertainty prioritisation in the mathematical model for the optimisation of EWFLN. The specific objectives of this study include creating a mathematical model, determining and prioritising uncertain parameters, and prescribing appropriate policy recommendations. This study points out clearly which specific parameters should be taken into consideration for risk hedging. The sensitivity analysis results present a quantitative hierarchical ranking of uncertain parameters based on their influence on the objective function. The results demonstrate that energy price, solar radiation flux and crop yield are the most sensitive among them all. Moreover, it provides information about prioritised uncertain parameters to the policy makers to avoid dangerous risk of food, water, and energy scarcity.