Observational study reveals severe water quality degradation in urban Himalayan rivers driven by land use changes and sewage influx, highlighting the need for targeted watershed management.
Urban Himalayan tributaries are increasingly exposed to land-use transformation, drain-mediated pollutant loading, and seasonal hydrologic stress, yet integrated frameworks linking spatial land dynamics to multi-season water quality degradation remain limited. This study quantifies spatio-temporal degradation and process controls in the Rispana and Bindal rivers (Dehradun, Uttarakhand, India) using a coupled hydrochemical GIS statistical approach. Seasonal monitoring (post-monsoon, winter, summer, monsoon; October 2021–October 2023) was conducted across seven stations (LR1–LR4; LB1–LB3) for physicochemical, ionic, organic, and microbial indicators, followed by statistical validation (one-way ANOVA, Pearson correlation, hierarchical clustering), multivariate time-series decomposition using Dynamic Factor Analysis (DFA), and index-based diagnosis using Weighted Arithmetic WQI (WAWQI), CCME WQI, Horton WQI, and Oregon WQI to evaluate sensitivity to drain-dominated urban stressors. Results reveal strong downstream deterioration with persistent hotspot formation in urban reaches (LR4; LB2–LB3), where WAWQI frequently exceeded the “unsuitable” threshold, reaching extreme values during low-flow seasons (e.g., LB3 ~ 272 in summer and ~ 269 in monsoon). Degradation was characterised by concurrent dissolved oxygen depletion (< 4 mg/L) and elevated organic loading (high BOD/COD), indicating dominance of sewage-driven oxygen-demanding processes under reduced assimilative capacity. DFA resolved a limited set of latent dynamic factors, separating organic–microbial forcing from ionic/mineralisation control and capturing seasonal concentration–dilution behaviour. GIS-based LULC assessment confirmed intensive urban expansion within river corridors, while the Dynamic LULC Impact Matrix (DLIM) quantified net degradation for both rivers (Rispana ≈ − 1.46; Bindal ≈ − 1.15). Markov projections indicate that continued urban expansion is likely to maintain pressure on river water quality unless appropriate management measures are implemented. The integrated framework presented in this study provides a practical approach for understanding present degradation and supporting future management of urban rivers in rapidly developing Himalayan regions.
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Rana et al. (2026) studied this question.
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