The correlation of water quality parameters over wireless sensors generated dataset in the Sitnica River in Kosovo

• Autorzy: Ahmedi Figene , Makolli Shkumbin

Identyfikatory

DOI

10.24425/jwld.2023.147223

• Języki publikacji: EN

Abstrakty

EN

In this paper, the regression analysis technique is applied to a large water quality dataset for the Sitnica River in Kosovo. It has been done to assess the correlation between water quality parameters. The data are generated by a wireless sensors network deployed in Sitnica. A regression analysis is applied to four water quality parameters: temperature, dissolved oxygen, pH, and electrical conductivity. The correlation between each pair of parameters has been assessed by using the WEKA software package, which is a popular time-saving tool for data analysis in distinct domains. The data are pre-processed to exclude out-of-range values and then the assessment of correlation for the pairs of parameters is applied. In comparison to other pairs of water quality parameters, the results show that dissolved oxygen and electrical conductivity correlate particularly closely with temperature. Regression equations of these two pairs of parameters may provide inferred information on dissolved oxygen and electrical conductivity about the Sitnica River. Such information may otherwise not be available to resource managers in Kosovo. Moreover, due to its easy to use and availability as an open-source software, WEKA may aid decision-makers on the management providing almost real-time information about surface water quality within the basin. This can be particularly useful especially in the case of continuous observation of water quality and a huge dataset gathered by using wireless sensors.

Słowa kluczowe

EN

monitoring; parameters’ pair; regression analysis; water quality; wireless sensor

• Wydawca: Wydawnictwo ITP
• Czasopismo: Journal of Water and Land Development
• Rocznik: 2023
• Tom: no. 59
• Strony: 8--12
• Opis fizyczny: Bibliogr. 24 poz., fot., rys., tab.

Twórcy

autor

Ahmedi Figene

• The University of Prishtina, Faculty of Civil Engineering, Hydrotechnic Department, Rr. Agim Ramadani, ndërtesa e “Fakultetit Teknik”, 10000 Prishtina, Kosovo

• https://orcid.org/0000-0003-3246-1912

autor

Makolli Shkumbin

• The University of Prishtina, Faculty of Civil Engineering, Hydrotechnic Department, Rr. Agim Ramadani, ndërtesa e “Fakultetit Teknik”, 10000 Prishtina, Kosovo

• https://orcid.org/0000-0002-6908-7250

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).