Capítulo de Livro
A Statistical Boost to Assess Water Quality
Springer Proceedings in Mathematics & Statistics
Cordeiro, C., Bajwa, F.-U.-N., & Cristina, S. (2023). A Statistical Boost to Assess Water Quality. Em Springer Proceedings in Mathematics & Statistics (pp. 53-68). Springer International Publishing. https://doi.org/10.1007/978-3-031-39864-3_5
Anotações
..., Cristina, S., Bajwa, F. A. (2023). Statistical boost to assess water quality. In C Kitsos, T Oliveira, F Pierri and M Restaino (eds.), Statistical Modelling and Risk Analysis: Selected contributions from ICRA9, Springer
Abstrato
Water quality in coastal and oceanic zones promotes various benefits for the regional economy, socio-cultural values, and biodiversity. Chlorophyll- a (Chl- a ) is one of the most widely used water quality indicators. Monthly time series of Chl- a from 1998 until 2020 from two sites on the south coast of Portugal, Guadiana and Sagres, are used. Sagres is characterized by strong seasonality, and Guadiana with a weaker seasonal variation. A comparison between the months shows that Sagres is statistically significant when comparing the winter months with the early spring/summer months. Guadiana
Publisher
Springer International Publishing
Year of Publication
2023
Number of Pages
53-68
ISBN Number
9783031398636