RRM

(redirected from Rainfall-Runoff Model)
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AcronymDefinition
RRMRenewable Resource Management (applied science degre; Canada)
RRMRainfall-Runoff Model
RRMRenewable Raw Material
RRMRadio Resource Management (GSM/UMTS)
RRMRoad Race Motorsports (Santa Fe Springs, CA)
RRMResource Repository Manager
RRMRadio Resource Measurement
RRMRadio Resource Management
RRMRelative Record Number
RRMRegional Risk Manager (various locations)
RRMRegistered Reporting Mechanism (Agency for the Cooperation of Energey Regulators)
RRMRNA Recognition Motifs
RRMRenegotiable Rate Mortgage (real estate finance)
RRMRapid Response Manufacturing
RRMRestorative Reproductive Medicine
RRMRolls-Royce Marine
RRMRate Review Mechanism (tariff; Texas)
RRMResonant Recognition Model
RRMMaximum Repetitive Reverse Voltage (electronic component datasheets for diodes and bridge diodes)
RRMResidual Radioactive Material
RRMRound-Robin Matching
RRMRisk-Reduction Mastectomy (cancer prevention)
RRMRisk Reduction Measure (hazard prevention)
RRMResilient Risk Management
RRMRemote Radio Module
RRMResource Request Matrix
RRMRandom Rotation Matrix
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References in periodicals archive ?
(4) Run the generated input set through a rainfall-runoff model and record the flood characteristics of interest;
Madsen, "Multiobjective calibration with Pareto preference ordering: an application to rainfall-runoff model calibration," Water Resources Research, vol.
Denic-Jukic, "Groundwater balance estimation in karst by using a conceptual rainfall-runoff model," Journal of Hydrology, vol.
Rainfall-runoff Model Parameters Parameter Value Units a 70 [mm.sup.0.5] [hr.sup.0.5] b 0.5 [S.sub.b] 150 mm [S.sub.fc] 45 mm M 0.6 [S.sub.bl] 1500 mm [E.sub.p] 1700 mm/year Tabel 2.
[4] P.C.Nayak, K.P.Sudheer and K.S.Ramasastri, 2005, "Fuzzy computing based rainfall-runoff model for real time flood forecasting", Hydrological Processes, 19, pp.
(2007), "Semi conceptual rainfall-runoff model" Ph.D thesis submitted to J.N.T.
Evaluation of global optimization methods for conceptual rainfall-runoff model calibration.
At its core is a continuous rainfall-runoff model based on landscape decomposition into hillslopes and channel links.
Compared with parametric estimators of climate elasticity, nonparametric estimator for eP has been determined to be robust, appropriate with smaller bias, and consistent with the results estimated using rainfall-runoff model [42, 45].
Their topics include using a geographical information system to assess hydropower potential within the Upper Indus Basin in Pakistan, predicting flood-vulnerability of areas using satellite remote-sensing images in Japan's Kumamoto City, monitoring soil moisture deficit using satellite data from the Soil Moisture and Ocean Salinity mission: correspondence through rainfall-runoff model, predicting Caspian Sea level fluctuation using artificial intelligence, and soil moisture retrieval from bistatic scatterometer measurement using fuzzy logic system.