Analysis of Internal Pattern of Storms Using the Gordji Method (Case Study: Golestan Province)
Subject Areas : Water resources management
Yagob Dinpashoh
1
*
,
Saina Vakili Azar
2
,
Saeed Jahanbakhsh-Asl
3
1 - Professor, Department of Water Engineering, University of Tabriz, Tabriz, Iran.
2 - PhD Student, Department of Water Engineering, University of Tabriz, Tabriz, Iran.
3 - Professor, Department of Climatology, University of Tabriz, Tabriz, Iran.
Keywords: Huff curves, Design storm hyetograph, Gordji method, Golestan province,
Abstract :
Background and Aim: In recent decades, the increase in population on the one hand and climate changes and their unfortunate consequences on the other hand have caused a crisis of water resources in the Earth including Iran. In this situation, the right management and optimal use of water resources is very important. Among the efficient factors in the optimal use of water resources, it can be pointed out to the accurate identification of storm pattern during their duration. For this purpose, in this study, the recorded storms in the three rain gauge stations of Golestan province, namely, Aqqala, Maraveh Tappeh, and Minudasht were considered and their rainfall patterns were analyzed using different methods namely plotting the Huff curves, designing storm hyetographs and Gordji method.
Method: At the first stage, the recorded storms in each of the stations were separated into three distinct rainfall classes based on duration. Then, the set of Huff curves was plotted in each of the rainfall classes and in the selected stations. Incorporating the median Huff curve (50%), the pattern of storms is determined in terms of quartiles. Also, from the median Huff curve, design storm hyetographs of the rainfall classes extracted for the selected stations. In the following, the variability of rainfall patterns was analyzed according to the i) the difference between the 80% Huff curve and the 20% Huff curve (denoted by V) in the three dimensionless time points (25, 50, and 75 percent), and ii) the height of the median Huff curve (d50) in the mentioned time points. Then the patterns of the stations were compared with each other in different rainfall classes.
Results: The results showed that the shape of plotted Huff curves in the selected stations was not same in the three rainfall classes. Also, the results indicated that the form of the rainfall patterns was the second quartile type in all the rainfall classes, and in all the stations. According to the plotted hyetographs, it was found that considering the 10% time increments, the amount of partial rain was not greater than 15% of total rain in the selected stations, and in the three rainfall classes. The results of the Gordji method showed that in the station Aqqala, the largest value of V in all the three-time points, i.e. 25%, 50%, and 75%, belonged to the more than 12 hours class. While, in the stations of Maraveh Tappeh and Minudasht, the largest value of V in all the three mentioned time periods belonged to the 0-6 hour class. Also, the results showed that the highest values of d50 in two classes namely 0-6, and 6-12 hours in all three mentioned time periods, belonged to the stations Maraveh Tappeh and Aqqala, respectively.
The highest values of d50 in the rainfall class of more than 12 hours, and in the time scales of 25% and 75% belonged to the station Minudasht, but in the case of the 50% time scale, it belonged to the station Aqqala.
Conclusion: In general, it can be concluded that for a given station and for an arbitrary rainfall class, the lower V for each of the dimensionless time scales (i.e. 25, 50, 75% of rainfall duration), the more similarity for the rainfall patterns. In each of the mentioned time scales, as the V increases in a given class, the similarity decreases in that class.
The results of this study can be used by hydrologists in water resources management, including the storage, and drainage of excessive rainwater, and warning and control of destructive floods.
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