Agricultural Indicators as Predictors of Annual Water Quality: An Analysis of Interconnectedness and Prediction Using Machine Learning
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-3242-5_12
Reference20 articles.
1. Tyagi S et al (2013) Water quality assessment in terms of water quality index. Am J Water Res 1(3):34–38
2. Zhang W et al (2012) A statistical assessment of the impact of agricultural land use intensity on regional surface water quality at multiple scales. Int J Environ Res Public Health 9(11):4170–4186
3. https://sdgs.un.org/goals
4. Ogbozige FJ et al (2020) Multiple linear regression (MLR) model: a tool for water quality interpretation. Momona Ethiopian J Sci 12:123–134
5. Zhang D et al (2021) Predicting water quality based on EEMD and LSTM networks. In: 2021 33rd Chinese control and decision conference (CCDC), pp 2372–2377
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