evaluating empirical methods of flood flow rate estimation in bakhtegan watershed-iran
Authors
abstract
several empirical methods for flood flow rate estimation have been presented. in this study,eight new empirical runoff estimation method including dredge & burge, bourges, inglis, faning, hyderabad, burkli ziegler, cramar and possenti were calculated in bakhtegan watershed which is located in fars province. after studying empirical methods for annual flood flow rate estimation and comparing the results from empirical methods with measured values by hydrometric station existing in the region, it was found that in most watersheds, the most suitable methods were cramar, burkli ziegler, faning, dredge & burge, bourges, possenti, hyderabad, and inglisrespectively.
similar resources
Evaluating empirical methods of flood flow rate estimation in Bakhtegan watershed-Iran
Several empirical methods for flood flow rate estimation have been presented. In this study,eight new empirical runoff estimation method including Dredge & Burge, Bourges, Inglis, Faning, Hyderabad, Burkli Ziegler, Cramar and Possenti were calculated in Bakhtegan watershed which is located in Fars province. After studying empirical methods for annual flood flow rate estimation and comparing the...
full textEvaluating empirical methods of flood flow rate estimation in Bakhtegan watershed-Iran
Several empirical methods for flood flow rate estimation have been presented. In this study,eight new empirical runoff estimation method including Dredge & Burge, Bourges, Inglis, Faning, Hyderabad, Burkli Ziegler, Cramar and Possenti were calculated in Bakhtegan watershed which is located in Fars province. After studying empirical methods for annual flood flow rate estimation and comparing the...
full textEvaluating empirical methods of flood flow rate estimation in Bakhtegan watershed-Iran
Several empirical methods for flood flow rate estimation have been presented. In this study,eight new empirical runoff estimation method including Dredge & Burge, Bourges, Inglis, Faning, Hyderabad, Burkli Ziegler, Cramar and Possenti were calculated in Bakhtegan watershed which is located in Fars province. After studying empirical methods for annual flood flow rate estimation and comparing the...
full textEvaluating empirical methods of flood flow rate estimation in Bakhtegan watershed-Iran
Several empirical methods for flood flow rate estimation have been presented. In this study,eight new empirical runoff estimation method including Dredge & Burge, Bourges, Inglis, Faning, Hyderabad, Burkli Ziegler, Cramar and Possenti were calculated in Bakhtegan watershed which is located in Fars province. After studying empirical methods for annual flood flow rate estimation and comparing the...
full textAssessment of Empirical Methods of Runoff Estimation by Statistical test (Case study: BanadakSadat Watershed, Yazd Province)
Runoff estimation resulted from precipitation is the basis of more study in various develop and exploit design from water resource, then its measure and calculation due to environmental bottlenecks, always have a plenty problem. As a result of the importance of output runoff estimation and flood volume in watershed for the sake of country integrated watershed management in this study tried to 9...
full textAssessment of Empirical Methods of Runoff Estimation by Statistical test (Case study: BanadakSadat Watershed, Yazd Province)
Runoff estimation resulted from precipitation is the basis of more study in various develop and exploit design from water resource, then its measure and calculation due to environmental bottlenecks, always have a plenty problem. As a result of the importance of output runoff estimation and flood volume in watershed for the sake of country integrated watershed management in this study tried to 9...
full textMy Resources
Save resource for easier access later
Journal title:
international journal of advanced biological and biomedical researchPublisher: casrp publishing company
ISSN 2383-2762
volume 1
issue 4 2013
Hosted on Doprax cloud platform doprax.com
copyright © 2015-2023