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Lack of data in maximum daily rainfall frequency analysis can generate ineffcient estimates for design purposes.
In fact, a regionalization formula which involves the percentile 90% of the annual maximum daily rainfall was developed and validated.
Frequency and cumulative soil loss distributions are obtained by combining verified annual and maximum daily rainfall frequency distributions with a proposed erosion algorithm.
Maximum daily rainfall under control increased, exceeding 200% after the construction of the optimal RWH system compared with that before construction.
Particularly on flood event in 2013, consecutive rainy days occurred since in the beginning of July until mid-August with total depth of rainfall more than triple of 50-year return period of maximum daily rainfall.
The core components of the framework include the scaling model of rainfalls of different durations, the establishment of relationship between annual maximum daily rainfall and rolling-time 1440 min rainfall, the quantification of statistical features of estimated annual maximum 1440 min rainfalls, and the assessment of uncertainty of derived rainfall DDF relationships at conventional raingauges.
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This study aimed to find appropriate regional frequency distributions for maximum daily rainfalls and predict the return values of extreme rainfall events (design rainfall depths) for the future.
In the present study, regional frequency analysis of maximum daily rainfalls was investigated for Golestan province located in the northeastern Iran.
Although there is a positive climatic tendency in annual rainfall, due to an increasing number of rainy days, the annual maximum of daily rainfall remained constant.
The RRFA-S method was assessed through a comparative study with the traditional index flood method using the available annual maximum series of daily rainfall in two different regions in USA (11 sites in Colorado and 18 sites in California).
Weather data included daily minimum and maximum temperatures and daily rainfall.
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maximum daily wind
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