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Pregled bibliografske jedinice broj: 941358

Estimation of Nitrate Trends in the Groundwater of the Zagreb Aquifer


Kovač, Zoran; Nakić, Zoran; Špoljarić, Drago; Stanek, David; Bačani, Andrea
Estimation of Nitrate Trends in the Groundwater of the Zagreb Aquifer // Geosciences, 8 (2018), 5; 159, 15 doi:10.3390/geosciences8050159 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 941358 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Estimation of Nitrate Trends in the Groundwater of the Zagreb Aquifer

Autori
Kovač, Zoran ; Nakić, Zoran ; Špoljarić, Drago ; Stanek, David ; Bačani, Andrea

Izvornik
Geosciences (2076-3263) 8 (2018), 5; 159, 15

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
linear regression ; LOESS non-parametric regression ; confidence and prediction intervals ; data aggregation ; nitrate contamination ; Zagreb aquifer ; trend’s evaluation at different scales

Sažetak
Nitrates present one of the main groundwater contaminants in the world and in the Zagreb aquifer. The Zagreb aquifer presents the main source of potable water for the inhabitants of the City of Zagreb and it is protected by the Republic of Croatia. The determination of contaminants trends presents one of the main tools in groundwater body status and risk assessment. In this paper, the use of regression analysis on the aggregated data, together with confidence and prediction intervals, at different observation scales has been evaluated. Nitrate concentrations are generally decreasing in almost all areas, observed at different observation scales. It has been shown that linear regression can be efficiently used in the estimation of nitrates trends. Results showed that the calculation of confidence and prediction intervals can provide more useful conclusions than the calculation of the trend’s statistical significance. Also, the results suggest that confidence and prediction intervals can be used in groundwater body chemical status and risk assessment, respectively. Data smoothing and data aggregation are generally desirable, but have certain limitations. If too much data is aggregated, trend estimation by regression analysis can point to false conclusions. Evaluation of trends at different observational scales can provide more realistic trend estimation, as well as more precise identification of areas where groundwater protection measures should be implemented.

Izvorni jezik
Engleski

Znanstvena područja
Matematika, Geologija, Rudarstvo, nafta i geološko inženjerstvo

Napomena
Zoran Kovač i Zoran Nakić su glavni autori ovog rada.



POVEZANOST RADA


Ustanove:
Rudarsko-geološko-naftni fakultet, Zagreb

Profili:

Avatar Url Zoran Nakić (autor)

Avatar Url Zoran Kovač (autor)

Avatar Url Drago Špoljarić (autor)

Avatar Url Andrea Bačani (autor)

Poveznice na cjeloviti tekst rada:

doi www.mdpi.com

Citiraj ovu publikaciju:

Kovač, Zoran; Nakić, Zoran; Špoljarić, Drago; Stanek, David; Bačani, Andrea
Estimation of Nitrate Trends in the Groundwater of the Zagreb Aquifer // Geosciences, 8 (2018), 5; 159, 15 doi:10.3390/geosciences8050159 (međunarodna recenzija, članak, znanstveni)
Kovač, Z., Nakić, Z., Špoljarić, D., Stanek, D. & Bačani, A. (2018) Estimation of Nitrate Trends in the Groundwater of the Zagreb Aquifer. Geosciences, 8 (5), 159, 15 doi:10.3390/geosciences8050159.
@article{article, author = {Kova\v{c}, Zoran and Naki\'{c}, Zoran and \v{S}poljari\'{c}, Drago and Stanek, David and Ba\v{c}ani, Andrea}, year = {2018}, pages = {15}, DOI = {10.3390/geosciences8050159}, chapter = {159}, keywords = {linear regression, LOESS non-parametric regression, confidence and prediction intervals, data aggregation, nitrate contamination, Zagreb aquifer, trend’s evaluation at different scales}, journal = {Geosciences}, doi = {10.3390/geosciences8050159}, volume = {8}, number = {5}, issn = {2076-3263}, title = {Estimation of Nitrate Trends in the Groundwater of the Zagreb Aquifer}, keyword = {linear regression, LOESS non-parametric regression, confidence and prediction intervals, data aggregation, nitrate contamination, Zagreb aquifer, trend’s evaluation at different scales}, chapternumber = {159} }
@article{article, author = {Kova\v{c}, Zoran and Naki\'{c}, Zoran and \v{S}poljari\'{c}, Drago and Stanek, David and Ba\v{c}ani, Andrea}, year = {2018}, pages = {15}, DOI = {10.3390/geosciences8050159}, chapter = {159}, keywords = {linear regression, LOESS non-parametric regression, confidence and prediction intervals, data aggregation, nitrate contamination, Zagreb aquifer, trend’s evaluation at different scales}, journal = {Geosciences}, doi = {10.3390/geosciences8050159}, volume = {8}, number = {5}, issn = {2076-3263}, title = {Estimation of Nitrate Trends in the Groundwater of the Zagreb Aquifer}, keyword = {linear regression, LOESS non-parametric regression, confidence and prediction intervals, data aggregation, nitrate contamination, Zagreb aquifer, trend’s evaluation at different scales}, chapternumber = {159} }

Časopis indeksira:


  • Web of Science Core Collection (WoSCC)
    • Emerging Sources Citation Index (ESCI)
  • Scopus


Citati:





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