The objective of this study was to assess and model the condition and resilience of the Cunas River using integrated indices and multivariate statistics in order to determine the impact of anthropogenic pressure and enhance water security in the Peruvian Andes. Stations in the upper, middle, and lower reaches of the river were monitored during the rainy and dry seasons, applying quality indices (NSF-WQI, WA-WQI, CCME-WQI, and I-WQI), principal component analysis (PCA), hierarchical cluster analysis (HCA), and Spearman’s rank correlation (ρ) to assess the intensity and direction of associations between physical–chemical parameters. The results reveal severe degradation in the lower section of the river, with critical hypoxia and extreme coliform levels during the dry season, drastically exceeding the levels in the upper reach. The I-WQI demonstrated superior performance (322.24; Unfit) by being more sensitive than the NSF-WQI (53.15–59.87). PCA confirmed that low flow explains the greatest variance in pollution (PC1 71.55%), while HCA identified maximum synergy (rescaling distance < 1) between biochemical oxygen demand (BOD₅) and total phosphorus, indicating the collapse of self-purification capacity. The HCA identified a maximum synergy between BOD₅ and total phosphorus during the low-flow season, while the PCA confirmed that low discharge intensifies pollutant concentrations. These findings support the need for resilience-based governance that prioritizes the protection of natural infrastructure.

This study evaluated the quality of tap water from surface and groundwater sources in rural and urban communities during the rainy and dry seasons and its implications for public health in Peru. Water samples were collected and physicochemical parameters and bacteriological indicators were determined. The Wilcoxon (W) test indicated that pH, electrical conductivity (EC), total dissolved solids (TDS), total hardness (TH) and chlorides (Cl−) did not exceed permissible limits. In the rainy season, tap water from groundwater sources in rural communities presented the highest alkalinity values (326.67 mg CaCO3/L), and those of Escherichia coli exceeded the permissible limit. The Kruskal–Wallis (KW) test evidenced significant differences in the physicochemical parameters of surface water according to the geographic zone. Correlations between physicochemical and bacteriological parameters ranged from weak to moderate. The water quality index revealed that 89% of the water samples in rural communities were classified as poor and very poor quality water, and 73% of the water samples in urban communities as good quality. These findings highlight the importance of implementing urgent measures to improve tap water quality to safeguard public health.