2 edition of use of rainfall data in estimating actual and maximum probable river discharge (Tana/Kenya) found in the catalog.
use of rainfall data in estimating actual and maximum probable river discharge (Tana/Kenya)
|Statement||by G. Kovacs and H.T. Mörth.|
|Series||Technical memorandum - East African Meteorological Department ;, no. 20|
|Contributions||Mörth, H. T., joint author.|
|LC Classifications||GB1373.K4 K68|
|The Physical Object|
|Pagination||8 p. :|
|LC Control Number||82462337|
Estimate of the maximum probable precipitation for Alberta river basins [J. P Verschuren] on *FREE* shipping on qualifying : J. P Verschuren. A generalized method to estimate the probable maximum precipitation (PMP) has been developed for catchments in eastern India (80° E, 18° N) by pooling together all the major rainstorms that have occurred in this area. The areal raindepths of these storms are normalized for factors such as storm dew point temperature, distance of the storm from the coast, Cited by: 7.
Estimating Probable Maximum Precipitation in Mountainous Watersheds radar rainfall data, and interpolated rain gage data. Information for the storm event, the raw data, depth-area duration information, and geographical information, is included in the database. It is unclear how actual storm data were used to develop PMP values;. RI 2-year, minute rainfall (in inches) The maximum minute rainfall having a recurrence interval of 2 years, as determined from U.S. Weather Bureau Technical Paper 40 (U.S. Department of Commerce, ). RI 2-year, minute rainfall (in inches) The maximum minute rainfall having a recurrence interval ofCited by: 9.
 A theoretical hydrograph based on Darcy's law and the diffusion equation has been extended into a predictive model for the discharge of diffuse springs and small rivers from a detailed rainfall record, using only a single free parameter, the basin time constant model accurately predicts the flow variations of natural hydrographs, including the magnitude and timing of peak Cited by: probable maximum precipitation in India. J. Hydrol., In this paper a version of a generalised method of estimating probable maximum precipitation (PMP) is applied to the catchments of four large dams in India. The value of a secure dam is high both in terms of human life and in economic terms.
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Of rainfall data, but contains few seri-ous attempts at systematic analyses of these data for the purpose of de-veloping a procedure for obtaining a figure for the maximum rainfall.
This article may be considered both an ex-tension and revision of a. flood such as standard project flood, probable maximum flood and design basis flood. In case of large river basins, the hydrological and stream flow series of a significant duration are generally available.
However, for ungauged catchments, more data is not available other than rainfall. The rainfall data is also of shorterFile Size: KB. The annual maximum daily rainfall was extracted from the long term data series as shown in Figure 3.
Figure 3 Maximum Daily Rainfall at Lidam Rain Gauge Station () Table 2 Statistical parameters and PMP value estimated for the Linau River Size: KB.
Estimating probable maximum flood probabilities procedures to be included in a chapter in the revised book Australia Rainfall and Runoff.
the use of long rainfall data at fine time scales. probable maximum flood and design basis flood. In case of large river basins, the hydrological and stream flow series of a significant duration are generally available.
However, for ungauged catchments, more data is not available other than rainfall. The rainfall data is also of shorter duration and mayFile Size: KB. Probable maximum precipitation (PMP) is a theoretical concept that is widely used by hydrologists to arrive at estimates for probable maximum flood (PMF) that find use in planning, design and risk.
Methods for Estimating Annual Exceedance-Probability. Discharges for Streams in Iowa, Based on Data through Graphs showing relation between maximum flood discharge and drainage area for streams in.
A, flood region 1, B, Regression equations for estimating annual exceedance-probability by: Due to unavailability of sufficient discharge data for many rivers, hydrologists have used indirect methods for deriving flood discharge amount, that is, application of channel geometry and hydrological models, for the estimation of peak discharge in the selected ungauged river basin(s) in their research/project works.
This paper has studied the estimation of peak flood discharge Cited by: 1. Introduction. River discharge measurements are essential for flood management, climate studies, and water resources management.
Knowledge of river flow propagation speed, i.e., the time for flows to pass downstream, is critical for watershed modeling, flood prediction, and managing reservoirs (Brakenridge et al., ).Therefore, there is a great need for long-term, Cited by: Probable maximum precipitation (PMP) is a theoretical concept that is widely used by hydrologists to arrive at estimates for probable maximum flood (PMF) that find use in planning, design and risk assessment of high-hazard hydrological structures such as flood control dams upstream of populated by: 9.
Probable Maximum Precipitation (PMP) Estimates. can be produced for any catchment in Australia. There are 3 Generalised Methods used to estimate PMP, appropriate for different locations and durations: Generalised Short-Duration Method (GSDM) - for durations up to 6 hours and areas up to km 2. data that included the Columbia River Basin.
Zone 12B and 15 peaks for areas less than 8, WATER RESOURCE CONSULTANTS LTD. - PROBABLE MAXIMUM FLOOD ESTIMATOR FOR BRITISH COLUMBIA Page No STUDY METHOD GENERAL select the most suitable relationships for use in estimating PMFs in British Columbia.
Method (GSDM) offers guidance to those engaged in estimating the probable maximum precipitation for durations up to three or six hours in Australia. Despite careful preparation, it may contain typographical or other errors that affect use of File Size: KB.
Probable Maximum Flood Estimation - Eastern United States September US Army Corps of Engineers Institute for Water Resources Hydrologic Engineering Center Second Street Davis, CA () () FAX TPFile Size: KB. The maximum observed rainfall, X m, can be defined from: X m = n + K m S n (3) where n and S n are respectively the mean and standard deviation of the n annual maximum precipitation series and K m is maximum frequency factor which varies with statistical distributions and other meteorological Size: KB.
The probable maximum precipitation (PMP) is defined as the highest precipitation (measured by a rain gauge) for a given period that is meteorologically reliably recorded in the rainfall station. Estimation of the PMP is very important, especially forAuthor: Sutopo Purwo Nugroho, Seno Adi.
Estimation of Peak Flood Discharge (PFD) at a desired location on a river is important for planning, design and management of hydraulic structures such as dams, bridges, barrages and design of storm water drainage systems. These include different types of flood such as standard project flood, probable maximum flood and design basis by: 3.
Example The normal annual rainfall at stations A, B, C and D in a basin are,and cm, respectively. In the yearthe station D was inoperative and the stations A, B, and C recorded annual rainfall of, and cm, respectively. Estimate the rainfall at station D in that year. landslides. However, studies based on rainfall data could be disturbed by the occurrence of missing data.
Therefore, studies of procedures and methods used to estimate missing data are essential. The most common spatial interpolation method used in estimating missing rainfall data is normal ratio (NR) weighting method (Chow et al, ). PROBABLE MAXIMUM PRECIPITATION IN BARCELONA Table I. Storm efﬁciency E(t) and PMP values for every duration t, estimated using the physical approach.t (min) 5 10 15 20 25 30 35 40 45 50 55 60 E(t) PMP (mm) 37 54 75 86 99 t (min).
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Visit to get more information about this book, to buy it in print, or to download it as a free PDF.Estimating Probable Maximum Precipitation - From Research to Design W.
C. D. K. Fernando and S. S. Wickramasuriy a Abstract: There are two widely used methods for estimating Probable Maximum Precipitation (PMP), namely, th e hydro-meteorologica l an d statistica l technique s whic h ar e characteristi c of th e deterministi c.bution with the shape parameter given as a function of average annual maximum precipitation for a return period of 60, years [Koutsoyiannis, ].
In other words, the current equation for estimating PMPs may not yield ‘‘probable maximum’’ but rather would result in a rainfall with a given (large) return period. Later,Cited by: