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

Amit Krishan () and Ankita Srivastava ()

International Journal of Innovative Science and Research Technology (IJISRT), 2026, vol. 11, issue 06, 1226-1253

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.

Keywords: River Gomti; Water Quality; Statistical Analysis; Time-Series Analysis; ARIMA. (search for similar items in EconPapers)
Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:cvr:ijisrt:2026:06:ijisrt26jun378

DOI: 10.38124/ijisrt/26jun378

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