Groundwater Quality Index Prediction and Aquifer Failure Risk Analysis Using Metaheuristic-Tuned Artificial Neural Networks

The uploaded dataset corresponds to the data used in the article “Groundwater Quality Index Prediction and Aquifer Failure Risk Analysis Using Metaheuristic‑Tuned Artificial Neural Networks”, which has been accepted for publication in Scientific Reports. The dataset includes the physicochemical groundwater parameters employed for model development, analysis, and validation. In the MATLAB file, the variables are organized in the following order: {'Cl', 'Na', 'Mg', 'Ca', 'TDS', 'EC', 'pH', 'TH', 'SO4', 'HCO3', 'K', 'GQI'} These variables represent the key water quality indicators and the corresponding Groundwater Quality Index (GQI) values used throughout the study.本上传数据集对应已被《Scientific Reports》（《科学报告》）录用的论文《基于元启发式算法优化的人工神经网络预测地下水质量指数与含水层破坏风险分析》中所使用的数据。该数据集包含用于模型开发、分析与验证的地下水理化参数。 在该MATLAB文件中，变量按如下顺序排列：{'Cl', 'Na', 'Mg', 'Ca', 'TDS', 'EC', 'pH', 'TH', 'SO4', 'HCO3', 'K', 'GQI'} 上述变量代表本研究中所采用的核心水质指标与对应的地下水质量指数（Groundwater Quality Index, GQI）值。