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Pregled bibliografske jedinice broj: 1189425

Application of revised innovative trend analysis in lower Drava River


Zakwan, Mohammad; Pham, Quoc Bao; Bonacci, Ognjen; Đurin, Bojan
Application of revised innovative trend analysis in lower Drava River // Arabian Journal of Geosciences, 15 (2022), 8; 758, 12 doi:10.1007/s12517-022-09591-5 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 1189425 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Application of revised innovative trend analysis in lower Drava River

Autori
Zakwan, Mohammad ; Pham, Quoc Bao ; Bonacci, Ognjen ; Đurin, Bojan

Izvornik
Arabian Journal of Geosciences (1866-7511) 15 (2022), 8; 758, 12

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

Ključne riječi
Trend analysis ; Drava River ; Mann–Kendall test ; Innovative trend analysis

Sažetak
Changes in the streamflow pattern raise a plethora of implications on the morphological, economic, social, and cultural aspects of an entire river basin. Trend analysis of hydrological time series is the most common method to identify these changes. Several methods have been proposed to identify the trends in time series. In the present study, Mann–Kendall (MK), innovative trend analysis (ITA), and revised innovative trend analysis (RITA) were used to identify the trend in discharge and sediment load at two gauging sites of the lower Drava River Basin, during 1988–2017 with an objective to compare and understand the limitations of these methods. Innovative trend analysis provided greater visualization of the trend of different magnitude of discharges and sediment load as compared to Mann–Kendall test. However, it was observed that due to certain assumptions, ITA produced significant trends when the trends were insignificant. The significance of trends obtained from RITA was in close agreement with the Mann–Kendall test. In this regard, the method of determining the significance of trend in ITA needs to be rechecked and revised.

Izvorni jezik
Engleski

Znanstvena područja
Geologija, Geofizika, Građevinarstvo



POVEZANOST RADA


Ustanove:
Fakultet građevinarstva, arhitekture i geodezije, Split,
Sveučilište Sjever, Koprivnica

Profili:

Avatar Url Bojan Đurin (autor)

Avatar Url Ognjen Bonacci (autor)

Poveznice na cjeloviti tekst rada:

doi link.springer.com doi.org

Citiraj ovu publikaciju:

Zakwan, Mohammad; Pham, Quoc Bao; Bonacci, Ognjen; Đurin, Bojan
Application of revised innovative trend analysis in lower Drava River // Arabian Journal of Geosciences, 15 (2022), 8; 758, 12 doi:10.1007/s12517-022-09591-5 (međunarodna recenzija, članak, znanstveni)
Zakwan, M., Pham, Q., Bonacci, O. & Đurin, B. (2022) Application of revised innovative trend analysis in lower Drava River. Arabian Journal of Geosciences, 15 (8), 758, 12 doi:10.1007/s12517-022-09591-5.
@article{article, author = {Zakwan, Mohammad and Pham, Quoc Bao and Bonacci, Ognjen and \DJurin, Bojan}, year = {2022}, pages = {12}, DOI = {10.1007/s12517-022-09591-5}, chapter = {758}, keywords = {Trend analysis, Drava River, Mann–Kendall test, Innovative trend analysis}, journal = {Arabian Journal of Geosciences}, doi = {10.1007/s12517-022-09591-5}, volume = {15}, number = {8}, issn = {1866-7511}, title = {Application of revised innovative trend analysis in lower Drava River}, keyword = {Trend analysis, Drava River, Mann–Kendall test, Innovative trend analysis}, chapternumber = {758} }
@article{article, author = {Zakwan, Mohammad and Pham, Quoc Bao and Bonacci, Ognjen and \DJurin, Bojan}, year = {2022}, pages = {12}, DOI = {10.1007/s12517-022-09591-5}, chapter = {758}, keywords = {Trend analysis, Drava River, Mann–Kendall test, Innovative trend analysis}, journal = {Arabian Journal of Geosciences}, doi = {10.1007/s12517-022-09591-5}, volume = {15}, number = {8}, issn = {1866-7511}, title = {Application of revised innovative trend analysis in lower Drava River}, keyword = {Trend analysis, Drava River, Mann–Kendall test, Innovative trend analysis}, chapternumber = {758} }

Časopis indeksira:


  • Scopus


Citati:





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