Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Low-Flow Indices in Sub Catchments of Caspian, Iran
Low flows are one of the most important hydrological parameters required for quantitative and qualitative analysis of watersheds and play an important role in water resources engineering and management. In this study, 9 low flow indices including mean annual 3,7,15,30, days average minimum flow, flow duration curve indices (FDC) and exceeded 95, 90, 75 and 25% of the time respectively, and base flow index (BFI) were used. Daily stream flow of 20 hydrometric stations with a period of 30 years were used. BFI was extracted using One-parameter recursive digital filter algorithm and FDC indices were determined by plotting FDC. Then, the relationships between selected indices were analyzed. The results showed that there was a good correlation between base flow and FDC indices with a coefficient of determination above 68%. MAM3, MAM7 and MAM30 indices had a good correlation with a coefficient of determination higher than 0.90 and a suitable standard error for FDC indices that can be used for regional analysis of low flow. The MAM30 low flow showed the minimum standard error and the maximum coefficient of determination with FDC indices. The MAM15 low flow index had no correlation with FDC indices and not recommended for regional analysis of low flow in the research area.
Low-Flow Indices in Sub Catchments of Caspian, Iran
Low flows are one of the most important hydrological parameters required for quantitative and qualitative analysis of watersheds and play an important role in water resources engineering and management. In this study, 9 low flow indices including mean annual 3,7,15,30, days average minimum flow, flow duration curve indices (FDC) and exceeded 95, 90, 75 and 25% of the time respectively, and base flow index (BFI) were used. Daily stream flow of 20 hydrometric stations with a period of 30 years were used. BFI was extracted using One-parameter recursive digital filter algorithm and FDC indices were determined by plotting FDC. Then, the relationships between selected indices were analyzed. The results showed that there was a good correlation between base flow and FDC indices with a coefficient of determination above 68%. MAM3, MAM7 and MAM30 indices had a good correlation with a coefficient of determination higher than 0.90 and a suitable standard error for FDC indices that can be used for regional analysis of low flow. The MAM30 low flow showed the minimum standard error and the maximum coefficient of determination with FDC indices. The MAM15 low flow index had no correlation with FDC indices and not recommended for regional analysis of low flow in the research area.
Low-Flow Indices in Sub Catchments of Caspian, Iran
Rahim Kazemi (Autor:in) / Bagher Ghermezcheshmeh (Autor:in)
2022
Aufsatz (Zeitschrift)
Elektronische Ressource
Unbekannt
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