Evapotranspiration estimation methods in hydrological models

Zhao, Liang; Xia, Jun; Xu, Chong‐Yu; Wang, Zhonggen; Sobkowiak, Leszek; Long, Cangrui

doi:10.1007/s11442-013-1015-9

Cited by 225 publications

(121 citation statements)

References 33 publications

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“…If access to soil moisture becomes restricted, actual ET rates fall below the PET. In the hydrological and agricultural science literature, many alternative PET formulae have been proposed (Oudin et al, 2005;Zhao et al, 2013). These are often categorised into temperature-based approaches, energy-based approaches or combination approaches, and have varying levels of input data requirements.…”

Section: Modelling Et Rates In Green Roof Systemsmentioning

confidence: 99%

“…The intention here is to extensive green roof systems, although there is clearly a need for further research to refine the predictive value of the model in response to specific plant, substrate or other climatic factors. Zhao et al (2013) list eighteen variations on the basic SMEF method, which may improve predictive capabilities. However, Figure 2b confirms that the basic SMEF method is acceptable for the present purpose.…”

Section: [Approximate Location Of Figure 2]mentioning

confidence: 99%

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A modelling study of long term green roof retention performance

Stovin

Poë

Berretta

2013

Journal of Environmental Management

195

143

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This paper outlines the development of a conceptual hydrological flux model for the long term continuous simulation of runoff and drought risk for green roof systems. A green roof s retention capacity depends upon its physical configuration, but it is also strongly influenced by local climatic controls, including the rainfall characteristics and the restoration of retention capacity associated with evapotranspiration during dry weather periods. The model includes a function that links evapotranspiration rates to substrate moisture content, and is validated against observed runoff data.to typical extensive green roof configurations is demonstrated with reference to four UK locations characterised by contrasting climatic regimes, using 30-year rainfall time-series inputs at hourly simulation time steps. It is shown that retention performance is dependent upon local climatic conditions. Volumetric retention ranges from 0.19 (cool, wet climate) to 0.59 (warm, dry climate). Per event retention is also considered, and it is demonstrated that retention performance decreases significantly when high return period events are considered in isolation. For example, in Sheffield the median per-event retention is 1.00 (many small events), but the median retention for events exceeding a 1 in 1 yr return period threshold is only 0.10. The simulation tool also provides useful information about the likelihood of drought periods, for which irrigation may be required. A sensitivity study suggests that green roofs with reduced moisture-holding capacity and/or low evapotranspiration rates will tend to offer reduced levels of retention, whilst high moisture-holding capacity and low evapotranspiration rates offer the strongest drought resistance.

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Section: Modelling Et Rates In Green Roof Systemsmentioning

confidence: 99%

Section: [Approximate Location Of Figure 2]mentioning

confidence: 99%

A modelling study of long term green roof retention performance

Stovin

Poë

Berretta

2013

Journal of Environmental Management

195

143

View full text Add to dashboard Cite

show abstract

“…This process uses nearly three-fifths of annual solar radiation, available globally towards the Earth's surface (WANG & DICKINSON, 2012). Moreover, it is a key element in water balance, so its estimate is of vital importance for water resources and for forecasting drought periods (LINGLING et al, 2013). FALAMARZIA et al (2014) studied this factor through neural networks in regions of climate-data scarcity.…”

Section: Introductionmentioning

confidence: 99%

Comparison of Methods for Estimating Reference Evapotranspiration: An Approach to the Management of Water Resources Within an Experimental Basin in the Brazilian Cerrado

Gotardo

Gomes

2016

Eng. Agríc.

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ABSTRACT:This study aimed to compare methods for estimating reference evapotranspiration using an experimental basin in the Brazilian Cerrado, for water management purposes. For that, we estimated daily reference evapotranspiration over a certain period (time series between 1982 and 2012) through different empirical methods. These methods consisted of Blaney-Criddle (BC), Hargreaves & Samani (HS), ASCE Penman-Monteith (ASCE-PM), Penman (1948Penman ( /1963) (PO), Priestley-Taylor (PT), which were all compared to the standard Penman-Monteith FAO-56 (PM-FAO56). Based on statistics, ASCE-PM, P and BC methods should be recommended for cerrado areas, either in rainy or dry seasons. After these, the PT also stood out. Among the less complex methods, based on temperature and energy data, PT method is recommended whether climatological data are scarce either in rainy or dry seasons. Yet, HS reached the greatest errors, a broad data spread and low estimate accuracy, but showing better performance in dry periods, thus remaining under restricted use.

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“…One major challenge of recent hydrological modeling activities is the assessment of the effects of climate change on the terrestrial water cycle [4]. Hydrological models are usually based on the calculation of reference evapotranspiration and reducing it to the actual evapotranspiration by considering the soil moisture status [5] or the number of days since the last rainfall event [6].…”

Section: Introductionmentioning

confidence: 99%

Climatic Characteristics of Reference Evapotranspiration in the Hai River Basin and Their Attribution

Zhao

Xia

Sobkowiak

et al. 2014

Water

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Based on the meteorological data from 46 stations in the Hai River Basin (HRB) from 1961-2010, the annual and seasonal variation of reference evapotranspiration was analyzed. The sensitivity coefficients combined with the detrend method were used to discuss the dominant factor affecting the reference evapotranspiration (ET o ). The obtained results indicate that the annual reference evapotranspiration is dominated by the decreasing trends at the confidence level of 95% in the southern and eastern parts of the HRB. The sensitivity order of climatic variables to ET o from strong to weak is: relativity humidity, temperature, shortwave radiation and wind speed, respectively. However, comprehensively considering the sensitivity and its variation strength, the detrend analysis indicates that the decreasing trends of ET o in eastern and southern HRB may be caused mainly by the decreasing wind speed and shortwave radiation. As for the relationship between human activity and the trend of ET o , we found that ET o decreased more significantly on the plains than in the mountains. By contrast, the population density increased more considerably from 2000 to 2010 on the plains than in the mountains. Therefore, in this paper, the OPEN ACCESSWater 2014, 6 1483 correlation of the spatial variation pattern between ET o and population was further analyzed. The spatial correlation coefficient between population and the trend of ET o is −0.132, while the spatial correlation coefficient between the trend of ET o and elevation, temperature, shortwave radiation and wind speed is 0.667, 0.668, 0.749 and 0.416, respectively. This suggests that human activity has a certain influence on the spatial variation of ET o , while natural factors play a decisive role in the spatial variation of reference evapotranspiration in this area.

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Evapotranspiration estimation methods in hydrological models

Cited by 225 publications

References 33 publications

A modelling study of long term green roof retention performance

A modelling study of long term green roof retention performance

Comparison of Methods for Estimating Reference Evapotranspiration: An Approach to the Management of Water Resources Within an Experimental Basin in the Brazilian Cerrado

Climatic Characteristics of Reference Evapotranspiration in the Hai River Basin and Their Attribution

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