| Title | : | Sensitivity Analysis of FAO Penman-Monteith Equation: Effect of Climatic Parameters on Potential Evapotranspiration |
| Author | : | Muhammad Nazeer |
| Language | : | en |
| Rating | : | 4.90 out of 5 stars |
| Type | : | PDF, ePub, Kindle |
| Uploaded | : | Apr 07, 2021 |
Read Sensitivity Analysis of FAO Penman-Monteith Equation: Effect of Climatic Parameters on Potential Evapotranspiration - Muhammad Nazeer file in PDF
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Where the standard error of estimate exceeds 20% of the mean eto, a sensitivity analysis should be performed to determine causes (and limits) for the method.
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2 sensitivity analysis the results of the sensitivity analysis for a single variable show that radiation is the most sensitive parameter followed by temperature and relative humidity, as is illustrated in table 3 as an example for the station huimilpan. This behavior is in concordance with the results obtained by [21] and [22] in sensitivity.
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Among the studied models, fao-pm and bc models had the most annual sensitivity and pt model had the least annual sensitivity. All of the models had fairly high correlation coefficient with fao-pm model but the quantity of and was different in each model.
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In order to handle any possible potential impact of such changes on evapotranspiration, current study attempts to analyze the sensitivity of fao penman-monteith reference evapotranspiration.
The sensitivity analysis results revealed that solar radiation is the most sensitive input variable for eto estimated by using fao-penman-monteith method wind speed is least sensitive for all structures and open.
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The sensitivity analysis was performed by changing the original values by ±10%. The original values were set as fao recommended kc values for those simulations of niaes and tuat experiments. Application fao-56 method in simulation model of pollutant runoff.
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Sensitivity analysis indicates that relative humidity is the most sensitive factor for seasonal and annual change, and the influence is negative. The sensitivity of minimum temperature is the weakest and negative. Contribution analysis shows that the main contributors to changes are aerodynamic factors rather than radiative factors.
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Sensitivity analyses the principle of sensitivity analysis consists in varying each climate variable (tmax, tmin, sr, u2, rhmax and rhmin) in order to determine their impact on fao-pm evapotranspiration. Previous studies reveal that there is no standard procedure for calculating the sensitivity coefficient.
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