Distributed modeling provides for mapping of spatial and temporal patterns of highly stressed regions, and it offers local solutions to reduce stress in aquifers. In this study, the groundwater stress index (GWSI) is evaluated based on the groundwater footprint index over the Varamin aquifer in Iran. Using ArcGIS software, all necessary layers were produced and then input into the Groundwater Modeling System software to evaluate GWSI. The results show that distributed modeling offers a more accurate assessment of GWSI than water budget analysis. The minimum and maximum values of the GWSI calculated by the distributed model are 2.4 and 1.4 times, respectively, higher than those values obtained in previous studies. Besides, a significant agreement was observed between highly stressed areas and agricultural land use. Furthermore, the results obtained from comparison between stress pattern and land subsidence indicated that only 10% of the area under subsidence was caused by groundwater stress. Applying appropriate scenarios in the future can be useful to reduce water stress and its increasing trend.

分布式建模提供了高应力区域的空间和时间模式的映射，并提供了局部解决方案来减少含水层中的应力。在这项研究中，根据伊朗Varamin含水层的地下水足迹指数评估了地下水压力指数（GWSI）。使用ArcGIS软件，生成了所有必需的图层，然后将其输入到地下水建模系统软件中以评估GWSI。结果表明，与水预算分析相比，分布式建模对GWSI的评估更为准确。分布式模型计算的GWSI的最小值和最大值分别是以前研究中获得的值的2.4倍和1.4倍。此外，在高度紧张的地区和农业用地之间也达成了重要协议。此外，应力模式与地面沉降的比较结果表明，地面沉降中只有10％是由地下水压力引起的。将来应用适当的方案可能有助于减少缺水压力及其趋势。