Using Probable Maximum Precipitation to Bound the Disaggregation of Rainfall
نویسندگان
چکیده
منابع مشابه
Using Probable Maximum Precipitation to Bound the Disaggregation of Rainfall
The Multiplicative Discrete Random Cascade (MDRC) class of model is used to temporally disaggregate rainfall volumes through multiplying the volumes by random weights, which is repeated through multiple disaggregation levels. The model development involves the identification of probability density functions from which to sample the weights. The parameters of the probability density functions ar...
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The concept of Probable Maximum Precipitation (PMP) is based on the assumptions that (a) there exists an upper physical limit of the precipitation depth over a given area at a particular geographical location at a certain time of year, and (b) that this limit can be estimated based on deterministic considerations. The most representative and widespread estimation method of PMP is the so-called ...
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The Natural Resources Conservation Service (NRCS) has assisted local sponsors with analysis, design and construction of approximately 26,000 of the 80,000 dams in the National Inventory of Dams. Many of these dams are reaching their design life and require rehabilitation. Rehabilitation efforts come at a time when NRCS is in the process of evaluating a potential change from a minimum 6-hour sto...
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the two main approaches for estimating pmp are the synoptic and statistical techniques that their results are often different and selection of the appropriate option is difficult. in the most previous researches the frequency factor in the statistical method has been considered equal to 15 which this is the ultimate limit of frequency factor and the corresponding pmp is became too large. in the...
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Synthetic rainfall data has a large number of uses. Specifically, the behaviour of a reservoir under most scenarios can be best understood when evaluated using a large number of synthetic inputs. These synthetic values are all equally probable to occur but many of them may not have appeared in the historical record. Stochastic weather generators produce these synthetic data that were statistica...
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ژورنال
عنوان ژورنال: Water
سال: 2017
ISSN: 2073-4441
DOI: 10.3390/w9070496