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

可靠的雨量计网络的存在是管理水源和任何流域相关环境问题的必要条件。本研究旨在调查伊朗乌尔米亚湖西南部 Tazehkand 次流域的雨量计网络，并使用熵 - copula 方法，使用从伊朗六个雨量站获得的数据对雨量站进行排名。 1981 年至 2019 年期间伊朗西北部的 Siminehrood 盆地。使用 copula 模拟方法而不是多元回归分析来研究台站的相互作用效应。在使用与错误调查相关的统计数据调查了各种藤蔓后，R-vine 被选为最方便的 copula。然后，使用 R-vine 研究了站点的相互作用效应。每个站点的降雨量是通过考虑其他站点的降雨量来估算的。此外，实施了更流行的多元回归分析，并将其结果与藤蔓模拟方法获得的结果进行了比较。根据 NSE 统计的比较结果表明，藤蔓模拟方法在所有站点中均高于 90%。使用熵理论对每个站点的 ITI 和 N(i) 指数的估计表明调查区域内站点的短缺。根据 ITI 指数，这些站点处于平均、高于平均和过剩模式。N(i) 指数的评级表明，Dashband 站是最适合与其他站通信和方便覆盖平原的站。