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Surface Water Quality Index (WQI) Forecasting Dataset

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posted on 2025-01-10, 15:56 authored by Ashifur RahmanAshifur Rahman, Mahbubul SyeedMahbubul Syeed, Kaniz Fatema, Md. Rajaul KarimMd. Rajaul Karim, Razib Hayat Khan, Md Shakhawat Hossain, Mohammad Faisal Uddin

The dataset used in this study comprises 7,790 rows of daily water quality readings collected over 15 years (2007–2023) from Cork Harbour, Ireland. Cork Harbour, located at approximately 51.8410° N latitude and -8.2940° W longitude, is a large natural harbor influenced by both river and coastal factors, making it an important site for environmental monitoring and water quality assessment. The dataset includes measurements for 11 water quality parameters: Alkalinity, Ammonia, Biochemical Oxygen Demand, Chloride, Conductivity, Dissolved Oxygen, Orthophosphate, pH, Temperature, Total Hardness, and True Colour. These parameters provide comprehensive insights into water quality trends and variability in the region. This dataset is collected from the Environmental Open Data Portal (EPA), Ireland, the dataset is presented in a structured format and offers a valuable resource for developing and evaluating machine learning and deep learning models for Surface Water Quality Index (WQI) forecasting.

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