Calibration of seasonal transfer equation (Z–R) by data of Doppler weather radar, rainfall gauging station and genetic algorithm method in the Abolabbas watershed (in southwest of Iran)

The observed radar reflectivity (Z) converts to rainfall intensity (R) by a transfer function. In the first stage, for calibration of collected data (with time step 15 minutes) by weather radar and determination of the best relation between Z and R, it applied a genetic algorithm (GA) to minimize th...

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Autores principales:	Arash Adib, Masoud Soori Damirchi Sofla, Seyed Yahya Mirzaei, Mohammad Mahmoudian Shoushtari, Ali Liaghat
Formato:	article
Lenguaje:	EN
Publicado:	IWA Publishing 2021
Materias:	abolabbas watershed doppler weather radar genetic algorithm hec-hms rainfall–runoff model transfer function z–r Water supply for domestic and industrial purposes TD201-500 River, lake, and water-supply engineering (General) TC401-506
Acceso en línea:	https://doaj.org/article/33158b52453e47a9a923982b0c041b30
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spelling	oai:doaj.org-article:33158b52453e47a9a923982b0c041b302021-11-06T07:09:09ZCalibration of seasonal transfer equation (Z–R) by data of Doppler weather radar, rainfall gauging station and genetic algorithm method in the Abolabbas watershed (in southwest of Iran)1606-97491607-079810.2166/ws.2020.328https://doaj.org/article/33158b52453e47a9a923982b0c041b302021-03-01T00:00:00Zhttp://ws.iwaponline.com/content/21/2/567https://doaj.org/toc/1606-9749https://doaj.org/toc/1607-0798The observed radar reflectivity (Z) converts to rainfall intensity (R) by a transfer function. In the first stage, for calibration of collected data (with time step 15 minutes) by weather radar and determination of the best relation between Z and R, it applied a genetic algorithm (GA) to minimize the amount of root mean square error (RMSE). Although Z = 166R2 (the transfer function in the Khuzestan province of Iran) is an appropriate equation, the GA method distinguished that Z = 110R1.8 (from February to May) and Z = 126R2 (for other months) are the optimum transfer functions for the Abolabbas watershed in Iran. The mean of RMSE of optimum transfer equations is 0.59 mm/hr in the calibration stage and 0.85 mm/hr in the verification stage. In the second stage, the Hydrologic Modeling System (HEC-HMS model) used four types of precipitation data (extracted rainfall data from radar and the optimum transfer equations, Z = 166R2, Z = 200R1.6 and extracted rainfall data from rainfall gauging stations). The calibrated rainfall data by the optimum transfer equations can produce flood hydrographs in which their accuracy is similar to the accuracy of generated flood hydrographs by collected rainfall data of rainfall gauging stations. The mean of RMSE is 0.65 cubic metres per second and the mean or R2 is 0.89 for optimum transfer equations. HIGHLIGHTS Extraction of the function Z–R for a watershed.; Using time intervals less than 1 hr for rainfall hyetographs (15 minutes).; Using an optimization method for determination of the transfer function Z–R and considering seasonal characteristics of precipitation that can distinguish two transfer functions Z–R.; Using a rainfall–runoff model for determination of accuracy of the derived functions Z–R.;Arash AdibMasoud Soori Damirchi SoflaSeyed Yahya MirzaeiMohammad Mahmoudian ShoushtariAli LiaghatIWA Publishingarticleabolabbas watersheddoppler weather radargenetic algorithmhec-hms rainfall–runoff modeltransfer function z–rWater supply for domestic and industrial purposesTD201-500River, lake, and water-supply engineering (General)TC401-506ENWater Supply, Vol 21, Iss 2, Pp 567-580 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	abolabbas watershed doppler weather radar genetic algorithm hec-hms rainfall–runoff model transfer function z–r Water supply for domestic and industrial purposes TD201-500 River, lake, and water-supply engineering (General) TC401-506
spellingShingle	abolabbas watershed doppler weather radar genetic algorithm hec-hms rainfall–runoff model transfer function z–r Water supply for domestic and industrial purposes TD201-500 River, lake, and water-supply engineering (General) TC401-506 Arash Adib Masoud Soori Damirchi Sofla Seyed Yahya Mirzaei Mohammad Mahmoudian Shoushtari Ali Liaghat Calibration of seasonal transfer equation (Z–R) by data of Doppler weather radar, rainfall gauging station and genetic algorithm method in the Abolabbas watershed (in southwest of Iran)
description	The observed radar reflectivity (Z) converts to rainfall intensity (R) by a transfer function. In the first stage, for calibration of collected data (with time step 15 minutes) by weather radar and determination of the best relation between Z and R, it applied a genetic algorithm (GA) to minimize the amount of root mean square error (RMSE). Although Z = 166R2 (the transfer function in the Khuzestan province of Iran) is an appropriate equation, the GA method distinguished that Z = 110R1.8 (from February to May) and Z = 126R2 (for other months) are the optimum transfer functions for the Abolabbas watershed in Iran. The mean of RMSE of optimum transfer equations is 0.59 mm/hr in the calibration stage and 0.85 mm/hr in the verification stage. In the second stage, the Hydrologic Modeling System (HEC-HMS model) used four types of precipitation data (extracted rainfall data from radar and the optimum transfer equations, Z = 166R2, Z = 200R1.6 and extracted rainfall data from rainfall gauging stations). The calibrated rainfall data by the optimum transfer equations can produce flood hydrographs in which their accuracy is similar to the accuracy of generated flood hydrographs by collected rainfall data of rainfall gauging stations. The mean of RMSE is 0.65 cubic metres per second and the mean or R2 is 0.89 for optimum transfer equations. HIGHLIGHTS Extraction of the function Z–R for a watershed.; Using time intervals less than 1 hr for rainfall hyetographs (15 minutes).; Using an optimization method for determination of the transfer function Z–R and considering seasonal characteristics of precipitation that can distinguish two transfer functions Z–R.; Using a rainfall–runoff model for determination of accuracy of the derived functions Z–R.;
format	article
author	Arash Adib Masoud Soori Damirchi Sofla Seyed Yahya Mirzaei Mohammad Mahmoudian Shoushtari Ali Liaghat
author_facet	Arash Adib Masoud Soori Damirchi Sofla Seyed Yahya Mirzaei Mohammad Mahmoudian Shoushtari Ali Liaghat
author_sort	Arash Adib
title	Calibration of seasonal transfer equation (Z–R) by data of Doppler weather radar, rainfall gauging station and genetic algorithm method in the Abolabbas watershed (in southwest of Iran)
title_short	Calibration of seasonal transfer equation (Z–R) by data of Doppler weather radar, rainfall gauging station and genetic algorithm method in the Abolabbas watershed (in southwest of Iran)
title_full	Calibration of seasonal transfer equation (Z–R) by data of Doppler weather radar, rainfall gauging station and genetic algorithm method in the Abolabbas watershed (in southwest of Iran)
title_fullStr	Calibration of seasonal transfer equation (Z–R) by data of Doppler weather radar, rainfall gauging station and genetic algorithm method in the Abolabbas watershed (in southwest of Iran)
title_full_unstemmed	Calibration of seasonal transfer equation (Z–R) by data of Doppler weather radar, rainfall gauging station and genetic algorithm method in the Abolabbas watershed (in southwest of Iran)
title_sort	calibration of seasonal transfer equation (z–r) by data of doppler weather radar, rainfall gauging station and genetic algorithm method in the abolabbas watershed (in southwest of iran)
publisher	IWA Publishing
publishDate	2021
url	https://doaj.org/article/33158b52453e47a9a923982b0c041b30
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Calibration of seasonal transfer equation (Z–R) by data of Doppler weather radar, rainfall gauging station and genetic algorithm method in the Abolabbas watershed (in southwest of Iran)

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