Ranking and optimizing the rain-gauge networks using the entropy–copula approach (Case study of the Siminehrood Basin, Iran)

Abstract The existence of reliable rain-gauge networks is a necessity in managing water sources and the relevant environmental issues any basin. present study aimed to investigate network rank stations Tazehkand sub-basin southwest Lake Urmia, Iran, using entropy–copula approach data obtained from six Siminehrood basin Northwestern Iran between 1981 2019. interaction effects were investigated copula simulation instead multivariate regression analysis. R-vine was selected as most convenient after investigating various vines statistics related error investigation. Then, R-vine. rainfall each station estimated by considering other stations. Moreover, more prevalent analysis implemented, its results compared with vine approach. comparison according NSE statistic showed that above 90% across all estimates for ITI N(i) indices entropy theory shortage area. average, above-average, surplus modes index. rating concerning index indicated Dashband appropriate one terms communicating conveniently covering plain.