Reliable precipitation data are often required for conducting hydro-climatological assessments. Therefore, the study aims to detect the inhomogeneity in each calendar month, mean annual and monthly time series precipitation data of Balochistan, an arid province of Pakistan. The inhomogeneity was assessed using standard normal homogeneity test, Buishand range test, Pettitt test and von Neumann ratio test at 95% confidence level. The tests were applied over the precipitation data obtained from 14 meteorological stations for the period 1961–2009. The results of the different tests were classified as ‘useful’, ‘doubtful’ and ‘suspect’ based on the null hypothesis. The result of calendar months and annual series indicates that most of the data were ‘useful’. The output of monthly time series precipitation indicates that the data at Jiwani, Lasbela, Nokkunddi, Ormara, Pasni, Turbat and Zhob stations were ‘useful’ and others are classified into ‘doubtful’ and ‘suspect’ class. It was also observed that von Neumann ratio test is sensitive to minor changes in the precipitation data, and standard normal homogeneity test was found less sensitive to changes.

中文翻译：

---

降水序列中的不均匀性检测：以巴基斯坦干旱省为例

进行水文气候评估通常需要可靠的降水数据。因此，本研究旨在检测巴基斯坦干旱省份俾路支省每个日历月、平均年和月时间序列降水数据的不均匀性。使用标准正态同质性检验、Buishand 极差检验、Pettitt 检验和冯诺依曼比检验在 95% 置信水平下评估不均匀性。这些测试适用于从 14 个气象站获得的 1961-2009 年期间的降水数据。基于零假设，不同测试的结果被分类为“有用”、“可疑”和“可疑”。日历月和年度序列的结果表明大部分数据是“有用的”。月度时间序列降水的输出表明，Jiwani、Lasbela、Nokkunddi、Ormara、Pasni、Turbat 和 Zhob 站是“有用的”，其他站被分为“可疑”和“可疑”级。还观察到冯诺依曼比检验对降水数据的微小变化敏感，而标准正态均匀性检验对变化不太敏感。