Water scarcity is a major issue in arid regions, and it is crucial to have an accurate understanding of water resource utilization for informed decision-making regarding water-related issues. However, due to various reasons such as inadequate measuring facilities, the actual agricultural water usage is often underestimated. The concept and methodology of the water footprint, based on a life-cycle perspective, provide a powerful tool for studying the actual water usage in agriculture. By utilizing the theories and models of water footprints, a method for reviewing the actual agricultural water usage in arid regions is proposed. Taking the Aksu region as an example, the evolution patterns and water consumption of 15 major crops over a 31-year period from 1990 to 2020 were calculated and analyzed. The research shows that the total water footprint of crops in the Aksu region has increased by nearly 3.13 times over the 31-year period, with significant accelerations in 2003 and 2016. The green water footprint accounts for an average of about 8% of the major crops, while the average water footprint of cotton accounts for over 57.2% of the total water footprint of major crops in the study area. Based on the calculation of the blue water footprint, the actual water usage in the Aksu region in 2020 was estimated to be 11.128 billion cubic meters, which is 1.30 times higher than the reported water usage, with groundwater extraction being 2.46 times higher than reported. This method of water footprint analysis for reviewing actual water usage and its application examples provide a methodological foundation and technical support for regional water resource management and policymaking.

Agriculture is the largest water user of all sectors. In arid regions in particular, achieving efficient water use in agriculture is an important way to solve water scarcity. However, the difference in water use efficiency between arid and humid regions has long been a focus of academic debate. Many studies consider water use efficiency to be higher in humid areas due to the abundance of water resources. This view is based on the fact that less irrigation in humid areas may lead to higher crop yields and better conditions for agricultural production; however, it ignores the efforts of researchers and agricultural workers in arid zones who have attempted to develop efficient water-saving technologies, as well as the effect of natural conditions on agricultural production. Correctly evaluating the efficiency of agricultural water use in arid zones is important for achieving efficient use of water resources, as well as for water management decisions. This study calculates the yield structure and water productivity of typical crops in both arid and humid regions in China based on the footprint theory and other methodologies. This approach allows for an accurate assessment of irrigation water benefits in various regions, providing a scientific basis for improving agricultural water use efficiency under different climatic conditions. The study results indicate that the average reliance on blue water for wheat and cotton gradually increases from 49.9% to 93.6% as regional aridity intensifies, ranging from the Central China Humid Region to the Northwest China Arid Region. Similarly, the average contribution of blue water to crop yield rises from 31.0% to 100%, while irrigation water productivity increases from 0.27 kg·m⁻³ to 0.53 kg·m⁻³. Finally, this study concludes that, in arid zones with lower precipitation and more hours of sunshine, a higher dependence on blue water for crop growth and development leads to a higher productivity of irrigation water. In addition, in arid zones, the focus should be on optimizing the use of irrigation water and improving irrigation technology and efficiency, while, in humid zones, there should be more use of natural precipitation to efficiently reduce dependence on irrigation water.

The authors would like to make the following corrections to the published paper