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Information Journal Paper

Title

Assessment of standardized precipitation and standardized precipitation-evapotranspiration indices for wet period detection

Pages

  207-221

Abstract

 Background and Objectives: Flood is one of the deadliest natural disasters in the world, which causes enormous damages to human societies and changes in environment. In recent years, the possibility of Floods in many parts of the world has been a source of concern for people and governments. This has caused the need for more experienced managers and Flood engineers to reduce the Flood impact on the society and environment. Flood forecasting is one of the most promising methods of Flood risk management that provides valuable information for Flood warning services and people and organizations in emergency situations will have enough time to prepare for Flood control measures. Materials and Methods: In this study, standardized precipitation index (SPI) and standardized precipitation-evapotranSPIration index (SPEI) in Darzikala and Sangadeh weather stations located in Kasilian basin, Mazandaran province were calculated to determine the wet period. Then, in order to explore the efficiency of SPI and SPEI in Flood detection, the results were compared with river discharge time series in Valikbon gage station. The parameters for the diagnosis probability (POD), the False Warning Ratio (FAR) and the Critical Position Indicator (CSI) were used to assess the success rate of these indicators in Flood detection at the stations. Results: The results showed that the maximum and minimum POD, CSI and FAR were 0. 89 and 0. 68, 0. 71 and 0. 61, 0. 32 and 0. 11, respectively, for SPI and SPET indices. The trend analysis of mentioned indices showed that the SPEI index was relatively better than SPI due to the use of temperature data and hence the calculation of evapotranSPIration, especially at the end of spring and summer in the Kasilian basin which has rainfall– snow regime. Conclusion: Based on the POD, FAR and CSI statistics, it is suggested that due to the use of temperature data for snow melt, especially in spring and summer, the application of SPEI index is more suitable than SPI for Flood forecasting in rainfall-snow regime. The SPI index is also an important indicator because of its ability in providing desirable results in Flood forecasting with only one parameter and also due to this fact that the rainfall is the only accurate data with appropriate historical period in all watersheds and at least two organs in the country are collecting information about it.

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    APA: Copy

    Hosseini Pazhouh, N., Ahmadaali, Kh., & SHOKOOHI, A.R.. (2019). Assessment of standardized precipitation and standardized precipitation-evapotranspiration indices for wet period detection. JOURNAL OF WATER AND SOIL CONSERVATION (JOURNAL OF AGRICULTURAL SCIENCES AND NATURAL RESOURCES), 25(6 ), 207-221. SID. https://sid.ir/paper/156434/en

    Vancouver: Copy

    Hosseini Pazhouh N., Ahmadaali Kh., SHOKOOHI A.R.. Assessment of standardized precipitation and standardized precipitation-evapotranspiration indices for wet period detection. JOURNAL OF WATER AND SOIL CONSERVATION (JOURNAL OF AGRICULTURAL SCIENCES AND NATURAL RESOURCES)[Internet]. 2019;25(6 ):207-221. Available from: https://sid.ir/paper/156434/en

    IEEE: Copy

    N. Hosseini Pazhouh, Kh. Ahmadaali, and A.R. SHOKOOHI, “Assessment of standardized precipitation and standardized precipitation-evapotranspiration indices for wet period detection,” JOURNAL OF WATER AND SOIL CONSERVATION (JOURNAL OF AGRICULTURAL SCIENCES AND NATURAL RESOURCES), vol. 25, no. 6 , pp. 207–221, 2019, [Online]. Available: https://sid.ir/paper/156434/en

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