Flood Prioritization of Dehbar Watersheds in Khorasan Razavi Province using TOPSIS Model, Morphometric Analysis and Regional Flood Frequency Analysis
نویسندگان
چکیده
Flood Prioritization of Dehbar Watersheds in Khorasan Razavi Province using TOPSIS Model, Morphometric Analysis and Regional Frequency
منابع مشابه
Comparison of hybrid regression and multivariate regression in the regional flood frequency analysis: A case study in Khorasan Razavi province
Background: Magnitude, rate and frequency of the stochastic and unexpected events are of great significance and importance in hydrology. Nowadays, for economic planning of the projects, the use of analytical methods of unexpected events in hydrology is unavoidable. The aim of this study was to compare hybrid regression and multivariate regression to estimate flood peak discharge in the province...
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in regions with deficient or no data, it is necessary to apply indirect methods to estimate the peak flow. regional flood analysis is the most accurate and reliable technique in such cases. one of the regional flood methods for flood analysis in arid and semi arid regions is hybrid technique, which was applied on data of khorasan razavi province watersheds to estimate the peak flow. hybrid meth...
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abstract natural disasters threatening and endangering human communities has resulted in the study and research of such disasters through the related sciences and present methods of forecasting their behavior with time and place and also from a qualification and quantity viewpoint. to this end, numerous methods for the determination of the maximum flood in various return period has been made av...
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Proper flood discharge forecasting is significant for the design of hydraulic structures, reducing the risk of failure, and minimizing downstream environmental damage. The objective of this study was to investigate the application of machine learning methods in Regional Flood Frequency Analysis (RFFA). To achieve this goal, 18 physiographic, climatic, lithological, and land use parameters were ...
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Flood Frequency Analysis is usually based on the fitting of an extreme value distribution to the series of local streamflow. However, when the local data series is short, frequency analysis results become unreliable. Regional frequency analysis is a convenient way to reduce the estimation uncertainty. In this work, we propose a regional Bayesian model for short record length sites. This model i...
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ژورنال
عنوان ژورنال: ????????? ?????? ???? ??????
سال: 2022
ISSN: ['2676-4636', '2251-6174']
DOI: https://doi.org/10.52547/jwmr.13.25.188