Hydrological modeling using the SWAT model based on two types of data from the watershed of Beni Haroun dam, Algeria

• Autorzy: Kateb Zakaria , Bouchelkia Hamid , Benmansour Abdelhalim , Belarbi Fadila

Identyfikatory

DOI

10.2478/jwld-2019-0065

Warianty tytułu

PL

Modelowanie hydrologiczne za pomocą modelu SWAT na podstawie dwóch typów danych dotyczących zlewni zbiornika zaporowego Beni Haroun w Algierii

• Języki publikacji: EN

Abstrakty

EN

The dam of Beni Haroun is the largest in Algeria, and its transfer structures feed seven provinces (wilayas) in the eastern part of Algeria. Due to its importance in the region, it has now become urgent to study its watershed as well as all the parameters that can influence the water and solid intakes that come into the dam. The Soil and Water Assessment Tool (SWAT) model is used to quantify the water yields and identify the vulnerable spots using two scenarios. The first one uses worldwide data (GlobCover and HWSD), and the second one employs remote sensing and digital soil mapping in order to determine the most suitable data to obtain the best results. The SWAT model can be used to reproduce the hydrological cycle within the watershed. Concerning the first scenario, during the calibration period, R² was found between 0.45 and 0.69, and the Nash–Sutcliffe efficiency (NSE) coefficient was within the interval from 0.63 to 0.80; in the validation period, R² lied between 0.47 and 0.59, and the NSE coefficient ranged from 0.58 to 0.64. As for the second scenario, during the calibration period, R² was between 0.60 and 0.66, and the NSE coefficient was between 0.55 and 0.75; however, during the validation period, R² was in the interval from 0.56 to 0.70, and the NSE coefficient within the range 0.64–0.70. These findings indicate that the data obtained using remote sensing and digital soil mapping provide a better representation of the watershed and give a better hydrological modelling.

PL

Beni Haroun jest największym zbiornikiem zaporowym Algierii zasilającym w wodę siedem prowincji we wschodniej części kraju. Podjęcie badań jego zlewni oraz wszystkich czynników, które wpływają na dostawę wody i zawiesiny do zbiornika, okazało się pilne ze względu na regionalne znaczenie zbiornika. Model SWAT (Soil and Water Assessment Tool) wykorzystano do ilościowego ujęcia natężenia przepływu wody i identyfikacji wrażliwych elementów systemu z użyciem dwóch scenariuszy. W pierwszym wykorzystano dane światowe, w drugim dane z teledetekcji i cyfrowych map glebowych celem ustalenia najbardziej odpowiednich danych do osiągnięcia najlepszych rezultatów. Model SWAT można użyć do odtworzenia cyklu hydrologicznego na obszarze zlewni. Według pierwszego scenariusza podczas kalibracji R² wynosił od 0,45 do 0,69, a współczynnik efektywności Nasha–Sutcliffa (NSE) mieścił się w przedziale od 0,63 do 0,80. Podczas walidacji R² zmieniał się od 0,47 do 0,59, a współczynnik NSE od 0,58 do 0,64. Według drugiego scenariusza podczas kalibracji R² wynosił od 0,60 do 0,66, a współczynnik NSE od 0,55 do 0,75. Podczas walidacji współczynniki mieściły się odpowiednio w granicach od 0,56 do 0,70 i od 0,64 do 0,70. Wyniki wskazują, że dane pozyskane z teledetekcji i cyfrowych map glebowych stanowią lepszą reprezentację zlewni i umożliwiają usprawnienie modelowania hydrologicznego.

Słowa kluczowe

EN

Beni Haroun; calibration; SWAT model; water yields; watershed

PL

Beni Haroun; kalibracja; model SWAT; natężenie przepływu wody; zlewnia

• Wydawca: Wydawnictwo ITP
• Czasopismo: Journal of Water and Land Development
• Rocznik: 2019
• Tom: no. 43
• Strony: 76--89
• Opis fizyczny: Bibliogr. 50 poz., rys., tab.

Twórcy

autor

Kateb Zakaria

• University of Tlemcen, Department of Hydraulic, URMER Laboratory, Tlemcen, Algeria

autor

Bouchelkia Hamid

• University of Tlemcen, Department of Hydraulic, URMER Laboratory, BP, 13000, Tlemcen, Algeria

autor

Benmansour Abdelhalim

• University of Tlemcen, Department of Hydraulic, URMER Laboratory, Tlemcen, Algeria

autor

Belarbi Fadila

• University of Tlemcen, Department of Hydraulic, URMER Laboratory, Tlemcen, Algeria

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Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).