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- W2405619320 abstract "Generation of evaporation data generally assists in planning, operation, and management of reservoirs and other water works. Annual and monthly evaporation series were generated for King Fahad Dam Lake in Bishah, Saudi Arabia. Data was gathered for period of 22 years. Tests of homogeneity and normality were conducted and results showed that data was homogeneous and normally distributed. For generating annual series, an Autoregressive first order model AR(1) was used and for monthly evaporation series method of fragments was used. Fifty replicates for annual series, and fifty replicates for each month series, each with 22 values length, were generated. Performance of the models was evaluated by comparing the statistical parameters of the generated series with those of the historical data. Annual and monthly models were found to be satisfactory in preserving the statistical parameters of the historical series. About 89% of the tested values of the considered parameters were within the assigned confidence limits" @default.
- W2405619320 created "2016-06-24" @default.
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- W2405619320 date "2001-01-01" @default.
- W2405619320 modified "2023-09-28" @default.
- W2405619320 title "EVAPORATION DATA STOCHASTIC GENERATION FOR KING FAHAD DAM LAKE IN BISHAH, SAUDI ARABIA" @default.
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