Water is a vital component of life systems, highly essential for all life forms. Human water exhaustion is of two types: direct and indirect. Like other natural resources, water demand evaluation is crucial for survival. With increased consumption pressure, “Water scarcity” is globally recognized. The only way out is to change water usage patterns, not only to reduce pollution loads but also to safely meet future needs. The water footprint (wf) measure, an indicator of conservational sustainability, is valid in water assessment and management. In regions of old municipal systems that are not maintained and have never been updated, urban flooding is a common occurrence each rainy season. Traditional methods of growing cereals, predominantly rice and wheat, have made conditions worse. In such environments, introducing ecological water use is fundamental. The evaluation of water in a certain system of production in a given scenario is regularly required. In this study, Indus River Basin (IRB), Pakistan was selected to apply the conception of ‘wf’ using GIS technology. This plotting will help to demonstrate statistics about water: depletion, stress, and exploitation in definite space and time. The green, blue, and grey components of ‘wf’ scheming will make available the estimation of precipitation, ground reserves, the water table, and contamination ratios generated during domestic, commercial, industrial, and agriculture practices conducted. This study will surely allow for a circumstantial baseline of water resource management, refrain from floods, and the ability to meet future demands for farming, food supplies, and economic development in the region. Its a method of assuming, accomplishing, and executing new sustainable processes of water use, measurement, management, and conservation, thereby avoiding life-threatening urban flooding, over evaporation in farms during roasting weather, and extensive drilling for performing daily tasks in each sector. This addresses the issues of increasing demand for excessive water from ground assets and subsequent energy costs.
