Criticising De marttone regionalization method according to linear moments for maximum daily precipitation in Iran

Geographical regionalization means defining and classifying different regions according to their climatic characteristics. Scientists of this field have developed various methods for this regard. De Martonne is one of these methods which works according to two factors namely annual temperature and precipitation. Geographical regionalization or defining homogeneous regions is needed in analyzing meteorological events such as temperature, precipitation, wind, flood, runoff etc. It worth noting that analysis of these factors is not possible unless all of them were related to same region, or in other words, follows a basic pattern. Nowadays, scientists have developed math-based methods, such as linear moments and homogeneity tests. The advantage of these methods over the previous ones, is that these new methods are applicable for almost all events, where as the old ones were limited to be used by only some of the events. In this study, all the meteorological stations which measured temperature and precipitation were selected. Then via linear moments and De Martonne methods, the homogeneity and discordancy of the regions were analyzed. The results gained from this analysis rejected the efficiency of De Martonne method. Besides, application of this method is not recommended in developing homogeneous regions.