A simulation model for predicting hourly pan evaporation from meteorological data

Molina-Martínez, José Miguel; Álvarez, Victoriano Martínez; González-Real, M.M.; Baille, Alain

doi:10.1016/j.jhydrol.2005.06.016

Cited by 60 publications

(32 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Somewhat lower correlation coefficients of T a and T w ranged from r = 0.56 (S) to r = 0.642 (P s ). Martinez et al (2006) and McVicar et al (2007) communicated the decisive effect of T w on the rate of Class A pan E p . Gundalia and Mrugen (2013) and Xiaomang et al (2011) also found high positive correlation between T a and E p .…”

Section: Impact Of Weather On E P Of Implemented Class a Pansmentioning

confidence: 99%

Estimation of natural water body’s evaporation based on Class A pan measurements in comparison to reference evapotranspiration

Anda¹,

Simón²,

Soós³

et al. 2018

Időjárás

View full text Add to dashboard Cite

Abstract⎯ A Class A pan (C) evaporation (E p ) study was conducted at the Agrometeorological Research Station of Keszthely, in the growing season of 2016. Some of the evaporation pans were implemented with freshwater aquatic macrophytes (Myriophyllum sp., Potamogeton sp., and Najas sp.) (P s ) and sediment covered bottom (S). The applied macrophytes were the predominant species of Keszthely Bay (Balaton Lake). Reference (E o ) after Shuttleworth and reference evapotranspiration (ET o ) after PenmanMonteith (FAO-56 formula) were also included for the E study. Of pre-selected four investigated variables, air temperature and air humidity impacted E p of treated Class A pans the most. Cumulative E p values for 2016 were 363.1, 427.7, and 461.5 mm in C, S, and Ps, respectively. There was no difference in measured cumulative E p of P s (461.5 mm) and computed ET o (472.1 mm) during the studied season.On the basis of a simplified water budget, E rate of Keszthely Bay increased with 16.9%, when macrophytes and sediment cover were accounted. It is equivalent to 264,000,000 m 3 water in Keszthely Bay's E estimation. Simple E approach -when lake's components, such as submerged macrophytes and sediment cover were also accounted -could extend the accuracy of natural lake's E estimation in a broader circle than earlier.

show abstract

Section: Impact Of Weather On E P Of Implemented Class a Pansmentioning

confidence: 99%

Estimation of natural water body’s evaporation based on Class A pan measurements in comparison to reference evapotranspiration

Anda¹,

Simón²,

Soós³

et al. 2018

Időjárás

View full text Add to dashboard Cite

show abstract

“…Equation (15) determines the main depot, dep ∈ N . This is the depot from which vehicles depart at the beginning of the time horizon using constraints (18) and to which they return at the end of it according to constraints (19). Constraints (16) limit the vehicle to either water or traverse an edge at a specific time period.…”

Section: Mathematical Modelmentioning

confidence: 99%

“…e t = e t−1 + 0.1 if 0.55T ≤ t < 0.75T ; e t = e t−1 − 0.1 if 0.75T ≤ t < 0.95T ; and e t = 1 otherwise. These parameters are used to approximate the evaporation rate during daytime, which is increased on the second half of the time horizon as shown in the results of hourly evaporation found in [18]. Table 1 shows the characteristics of each network.…”

Section: Parametersmentioning

confidence: 99%

“…We tested six different initial humidity levels, I c ij : 10%, 20%, 30%, 40%, 50% and 60% of H max ij . These six scenarios were combined with three evaporation scenarios: The first scenario is an approximation of the evaporation behaviour described in [18] where the evaporation rate is higher during afternoon hours; the second scenario has no evaporation, and the loss of humidity is due to traffic volume only; the third scenario is a situation where humidity is briefly increased by weather events such as rain. As explained in Section 3.1, parameter DC is used to determine the required distance between depots.…”

Section: Routing Costs With Different Number Of Depotsmentioning

confidence: 99%

See 1 more Smart Citation

Location arc routing problem with inventory constraints

Riquelme-Rodríguez

Gamache

Langevin

2016

Computers & Operations Research

View full text Add to dashboard Cite

“…Existem vários métodos para determinação da evapotranspiração de referência (ETo), como lisímetros, tabelas e equações, onde geralmente na determinação ou ajuste de valores de evaporação do tanque para obtenção da taxa de evaporação ou evapotranspiração de referência usa-se um coeficiente empírico, Kp, tanto para aplicações na agricultura quanto na hidrologia (MOLINA MARTÍNEZ et al, 2006).…”

Section: Introductionunclassified

Coeficiente Do Tanque Classe a Para a Região De Mossoró, Rn

Peixoto

Levien

Bezerra³

et al. 2016

RBAI

View full text Add to dashboard Cite

RESUMOO método do Tanque Classe A, para determinar a evapotranspiração de referência (ETo), foi desenvolvido para se ter uma forma prática para estimá-la e aplicar ao manejo da irrigação. Para a realização deste trabalho foram utilizados dados meteorológicos de uma série histórica de 15 anos, no período do ano de 1993 a 2007, da estação climatológica convencional da Universidade Federal Rural do Semi-Árido. Objetivou-se com este trabalho calcular e propor valores médios de coeficientes do Tanque Classe A (Kp) em diferentes intervalos temporais (mensal, sazonal e anual), para a região de Mossoró, Rio Grande do Norte, para auxiliar produtores rurais na sua utilização no manejo da irrigação. Os valores médios mensais do coeficiente (Kp) são os mais recomendados para utilização; a segunda escolha seria a utilização dos valores médios sazonais de 0,79 e 0,62, para período chuvoso e período seco, respectivamente; e, por último, o valor médio anual, igual a 0,71. Palavras-chave: dados meteorológicos, evaporação do tanque, evapotranspiração, manejo de irrigação CLASS A PAN COEFFICIENT TOTHE REGION OF MOSSORÓ, RN, BRAZIL ABSTRACTThe Class A pan method, to determine the reference evapotranspiration (ETo), was developed to be a practical way to estimate it and apply to irrigation management. For this work, a historical meteorological data series of 15 years, within the period of 1993 to 2007, of the conventional climatological station of Universidade Federal Rural do Semi-Árido was used. The objective of this

show abstract

A simulation model for predicting hourly pan evaporation from meteorological data

Cited by 60 publications

References 12 publications

Estimation of natural water body’s evaporation based on Class A pan measurements in comparison to reference evapotranspiration

Estimation of natural water body’s evaporation based on Class A pan measurements in comparison to reference evapotranspiration

Location arc routing problem with inventory constraints

Coeficiente Do Tanque Classe a Para a Região De Mossoró, Rn

Contact Info

Product

Resources

About