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Assessment and Forecasting of Water Quality Variables of the River Gomti, Lucknow, India

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  • Amit Krishan

  • Ankita Srivastava

Abstract

The predicted water quality parameter data for the study period (2013–2017) and the anticipated period (2018–2022) revealed a seasonal trend pattern, indicating that the seasonal inflows significantly affect water quality. For all sampling stations, the observed water quality parameter value increased from upstream to downstream, demonstrating the effects of rapid industrialization and urbanization and showing the same behavior for the predicted period. The study results indicate the suitability of the time series technique for predicting river water quality.

Suggested Citation

  • Amit Krishan & Ankita Srivastava, 2026. "Assessment and Forecasting of Water Quality Variables of the River Gomti, Lucknow, India," International Journal of Innovative Science and Research Technology (IJISRT), IJISRT Publication, vol. 11(06), pages 1226-1253, June.
    • Handle: RePEc:cvr:ijisrt:2026:06:ijisrt26jun378
    DOI: https://doi.org/10.38124/ijisrt/26jun378
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