Abstract The climate change is an important event that affects hydrological, agricultural and water resources planning variables, and therefore, the hydrologists and meteorologists frequently try to identify trend possibilities especially in rainfall, runoff and temperature time series. For this purpose, the classical Mann-Kendall (MK), Spearman’s rho (SR), Sen’s slope, and linear regression approaches are applied frequently in the literature. Recently, innovative trend analysis (ITA) provides visual inspection and identification of categorical trends, which is one of the main concerns in this paper. On the basis of ITA methodology, several improvements namely double-ITA (D-ITA) and triple-ITA (T-ITA) procedures are suggested using with simple ITA together. These methods are attractive for the trend stability assessment by comparing partial trend components during different sub-periods of a given record series. Furthermore, partial MK test approach is proposed in this paper for the same purpose. These procedures and approach are applied to a set of annual rainfall records at many stations in different regions of Turkey. As a result, the comparison of the suggested methods based on partial sub-series of the same time series helps to improve trend detection with stability identification.

中文翻译：

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多重 Şen-innovative 趋势分析和部分 Mann-Kendall 检验

摘要 气候变化是影响水文、农业和水资源规划变量的重要事件，因此，水文学家和气象学家经常尝试识别趋势可能性，尤其是在降雨、径流和温度时间序列中。为此，经典的 Mann-Kendall (MK)、Spearman's rho (SR)、Sen's 斜率和线性回归方法在文献中经常被应用。最近，创新趋势分析 (ITA) 提供了对分类趋势的视觉检查和识别，这是本文的主要关注点之一。在 ITA 方法的基础上，建议将双 ITA (D-ITA) 和三重 ITA (T-ITA) 程序与简单 ITA 一起使用。这些方法通过比较给定记录系列的不同子周期内的部分趋势分量，对趋势稳定性评估很有吸引力。此外，出于同样的目的，本文提出了部分 MK 测试方法。这些程序和方法适用于土耳其不同地区许多站点的一组年降雨量记录。因此，基于相同时间序列的部分子序列的建议方法的比较有助于通过稳定性识别改进趋势检测。