Multiregression Analysis of the Kinetic Constants in Ephemeral Rivers: The Case Study of the Oreto River

Risultato della ricerca: Chapter


Profuse efforts have been committed to develop efficient tools tomeasure the ecological status of the receiving water body quality state. Therecurrence to mathematical models as support tools for the receiving water bodyquality assessment can be an optimal choice. Indeed, mathematical models canallow to build-up the cause effect relationship between polluting sources andreceiving water quality. Regarding the river water quality modelling, two different kinds of river can be single out: large and small rivers. In the modellingapproach, the main differences between the two types of rivers are reflected inthe model kinetic constants. Indeed, the main quality processes which controland govern the quality state play a differ rule. As a results, the application ofmodel approaches as well as kinetic constants derived for large river, can lead towide biases thus misevaluating the river quality state. The paper presents a studywhere a multiregression analysis was carried out for assessing relationships to beemployed for the evaluation of the kinetics constants for small rivers. Toaccomplish such a goal, the kinetic constants derived by a previous applicationof a river water quality model applied to a real case study were used. Suchkinetics constants were employed for deriving new multiregression equations forthe assessment of the kinetics constants for small rivers.
Lingua originaleEnglish
Titolo della pubblicazione ospiteSpringer Nature Switzerland AG 2019 G. Mannina (Ed.): UDM 2018, GREEN
Numero di pagine6
Stato di pubblicazionePublished - 2019

All Science Journal Classification (ASJC) codes

  • ???subjectarea.asjc.2100.2105???
  • ???subjectarea.asjc.2100.2102???
  • ???subjectarea.asjc.2300.2308???
  • ???subjectarea.asjc.2200.2209???


Entra nei temi di ricerca di 'Multiregression Analysis of the Kinetic Constants in Ephemeral Rivers: The Case Study of the Oreto River'. Insieme formano una fingerprint unica.

Cita questo