Relevant bibliographies by topics / Evapotranspiration

Academic literature on the topic 'Evapotranspiration'

Author: Grafiati
Published: 4 June 2021
Last updated: 28 July 2024

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Journal articles on the topic "Evapotranspiration"

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Nakamichi, Takeshi, and Toshitsugu Moroizumi. "Applicability of three complementary relationship models for estimating actual evapotranspiration in urban area." Journal of Hydrology and Hydromechanics 63, no. 2 (June 1, 2015): 117–23. http://dx.doi.org/10.1515/johh-2015-0011.

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Abstract The characteristics of evapotranspiration estimated by the complementary relationship actual evapotranspiration (CRAE), the advection-aridity (AA), and the modified advection-aridity (MAA) models were investigated in six pairs of rural and urban areas of Japan in order to evaluate the applicability of the three models the urban area. The main results are as follows: 1) The MAA model could apply to estimating the actual evapotranspiration in the urban area. 2) The actual evapotranspirations estimated by the three models were much less in the urban area than in the rural. 3) The difference among the estimated values of evapotranspiration in the urban areas was significant, depending on each model, while the difference among the values in the rural areas was relatively small. 4) All three models underestimated the actual evapotranspiration in the urban areas from humid surfaces where water and green spaces exist. 5) Each model could take the effect of urbanization into account.
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Karishma, C. G., Balaji Kannan, K. Nagarajan, S. Panneerselvam, and S. Pazhanivelan. "Spatial and temporal estimation of actual evapotranspiration of lower Bhavani basin, Tamil Nadu using Surface Energy Balance Algorithm for Land Model." Journal of Applied and Natural Science 14, no. 2 (June 18, 2022): 566–74. http://dx.doi.org/10.31018/jans.v14i2.3412.

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Estimating evapotranspiration's spatiotemporal variance is critical for regional water resource management and allocation, including irrigation scheduling, drought monitoring, and forecasting. The Surface Energy Balance Algorithm for Land (SEBAL) method can be used to estimate spatio-temporal variations in evapotranspiration (ET) using remote sensing-based variables like Land Surface Temperature (LST), Normalized Difference Vegetation Index (NDVI), surface albedo, transmittance, and surface emissivity. The main aim of the study was to evaluate the actual evapotranspiration for the lower Bhavani basin, Tamil Nadu based on remote sensing methods using Landsat 8 data for the years 2018 to 2020. The actual evapotranspiration was estimated using SEBAL model and its spatial variation was compared over different land covers. The estimated values of daily actual evapotranspiration in the lower Bhavani basin ranged from 0 to 4.72 mm day-1. Thus it is evident that SEBAL model can be used to predict ET with limited ground base hydrological data. The spatially estimated ET values will help in managing the crop water requirement at each stage of crop and irrigation scheduling, which will ensure the efficient use of available water resources.
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Fadipe, O. B., G. C. Ufoegune, O. A. Ogidan, A. A. Ekaun, and D. A. Adenuga. "Evaluation and Mapping of Evapotranspiration in Forest-Savanna Transition Zone of Ogun State, South-Western Nigeria." Journal of Applied Sciences and Environmental Management 27, no. 8 (September 3, 2023): 1771–77. http://dx.doi.org/10.4314/jasem.v27i8.22.

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Evapotranspiration's impact on crop production, determined by water consumption in plants, varies across locations due to surface and climate differences. Traditional ground-based methods for measurement fall short in capturing these variations. In order to address this, the study evaluated and mapped the evapotranspiration in the forest-savanna transition zone of Ogun State, South-western Nigeria using a geo-informatics approach. Over six years, 12 Landsat images were collected, representing dry and wet seasons. These images were used to estimate the Normalized Difference Vegetative Index (NDVI), indicating vegetation density, and compute evapotranspiration values across the area. During the dry season, NDVI ranged from -0.326 to 0.376, and during the wet season, it ranged from -0.435 to 0.780, showing higher vegetation cover in the wet season. Evapotranspiration values varied across different regions. In Abeokuta South, Abeokuta North, and Odeda Local Government Areas, values ranged from 2.83 to 6.37 mm/day, 0.12 to 2.64 mm/day, and 3.12 to 5.44 mm/day, respectively, influenced by varying vegetation characteristics. The geo-informatics approach offered a realistic representation and spatial understanding of evapotranspiration, proving cost-effective and accessible. In conclusion, the study recommends the geo-informatics approach for evapotranspiration measurement due to its ability to consider spatial characteristics. This understanding is essential for effective water resource management and crop planning in the Forest-Savanna transition zone of Nigeria.
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Wang, Manqi. "Evaluating long-term potential evapotranspiration and soil moisture dynamics at Shanghai City China." E3S Web of Conferences 228 (2021): 02004. http://dx.doi.org/10.1051/e3sconf/202122802004.

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As the finical hub of China, the Shanghai metropolitan area is one of the most important regions on earth, which requires significant efforts in water, energy and resources management and supply. Ongoing dynamic changes in climate have posed large uncertainties in our ability to better quantify, estimate and predict future hydrological and ecological responses, including soil moisture dynamics and potential evapotranspirative demands. Given these significant implications, in this study, we focused on better understanding long-term dynamic trends in soil moisture and potential evapotranspiration at Shanghai with the Hargreaves equation and 1-Dimensional flow transport with Richard’s equation. We further tested how perturbations in temperature and precipitation patterns influence soil moisture and potential evapotranspiration responses. Our results suggested significant correlation between temperature and potential evapotranspiration as well as precipitation inputs and soil moisture. We believe these results can provide useful insights to help us better understand the hydrological responses at Shanghai to climate change.
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Marganingrum, Dyah, and Heru Santoso. "Evapotranspiration of Indonesia Tropical Area." Jurnal Presipitasi : Media Komunikasi dan Pengembangan Teknik Lingkungan 16, no. 3 (September 20, 2019): 106–16. http://dx.doi.org/10.14710/presipitasi.v16i3.106-116.

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Indonesia is an archipelago country with a tropical climate. The region of Indonesia is quite large and located between two continents (Asia and Australia) and between two oceans (Indian and Pacific), making the territory of Indonesia has a unique climate pattern. One of the climate variables that quite important to be studied in this chapter is evapotranspiration. The Thornthwaite method was used to estimate potential evapotranspiration based on average air temperature. The relationships between evapotranspiration, precipitation, and elevation were then examined. Besides, temperature variations that affect climate patterns between monsoonal and equatorial regions were compared, between the mainland and small islands, and between mountain and coastal area. The impact of global warming was also examined on the climate and potential evapotranspiration of the Indonesian region. Data analysis showed that evapotranspiration correlates weakly with precipitation, and the contrary, the evapotranspiration correlates strongly with elevation, with correlation indices of 0.02 and 0.89, respectively. The study confirmed that air temperature is the primary controlling variable of the evapotranspiration in this very heterogeneous landscape. Under a global temperature increase of 1.5 °C above the pre-industrialized year (1765), the evapotranspiration is expected to increase in a range from 4.8 to 11.1%. In general, the excess of water to restore soil moisture in the future tends to decrease, i.e., drier.
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Hattendorf, M. J., and J. R. Davenport. "Cranberry Evapotranspiration." HortScience 31, no. 3 (June 1996): 334–37. http://dx.doi.org/10.21273/hortsci.31.3.334.

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Cranberry (Vaccinium macrocarpon Ait.) evapotranspiration (ET) has not been documented. Micrometeorological techniques based on canopy temperature minus air temperature were used to estimate ET on `Stevens' and `Crowley' cranberry at Long Beach (lat. ≈46°20′N, long. 124°W) and Grayland (lat. ≈46°47′N, long. 124°W), Wash., in 1991 and 1992, respectively. Cranberry ET was 55% of Priestley–Taylor reference ET and ranged from <0.5 to >4 mm·d–1. The Priestley–Taylor reference ET was a very good predictor of cranberry ET (r2 = 0.795). Running 7-day cumulative ET ranged from 7 to 17 mm·week–1.
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Anderson, Ray, and Andrew French. "Crop Evapotranspiration." Agronomy 9, no. 10 (October 5, 2019): 614. http://dx.doi.org/10.3390/agronomy9100614.

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Evapotranspiration (ET) is one of the largest components of the water cycle, and accurately measuring and modeling ET is critical for improving and optimizing agricultural water management. However, parameterizing ET in croplands can be challenging due to the wide variety of irrigation strategies and techniques, crop varieties, and management approaches that employ traditional tabular ET and make crop coefficient approaches obsolete. This special issue of Agronomy highlights nine approaches to improve the measurement and modeling of ET across a range of spatial and temporal resolutions and differing environments that address some of the challenges encountered.
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Huang, Bingru, and Jack D. Fry. "Turfgrass Evapotranspiration." Journal of Crop Production 2, no. 2 (September 10, 2000): 317–33. http://dx.doi.org/10.1300/j144v02n02_14.

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Zhang, Baozhong, He Chen, Di Xu, and Fusheng Li. "Methods to estimate daily evapotranspiration from hourly evapotranspiration." Biosystems Engineering 153 (January 2017): 129–39. http://dx.doi.org/10.1016/j.biosystemseng.2016.11.008.

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Malek, Esmaiel. "Night-time evapotranspiration vs. daytime and 24h evapotranspiration." Journal of Hydrology 138, no. 1-2 (September 1992): 119–29. http://dx.doi.org/10.1016/0022-1694(92)90159-s.

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Dissertations / Theses on the topic "Evapotranspiration"

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Rijal, Ishara. "Reference Evapotranspiration and Actual Evapotranspiration Measurements in Southeastern North Dakota." Thesis, North Dakota State University, 2011. https://hdl.handle.net/10365/29335.

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Subsurface drainage (SSD) has been used to remove excess water from fields in the United States upper Midwest for more than a century, but only since the last decade in the Red River Basin of the North in North Dakota (ND). The water leaving from a SSD system can affect both the quality and quantity of water that flows to a surface water system. Therefore, determination of the water balance components is the first step to study the impact of SSD on water quantity, while evapotranspiration (ET), one of the most important components in the water balance, needs to be accurately measured for SSD field. A field experiment was conducted to study the water balance in SSD and undrained (having no artificial drainage system) fields in southeast ND. The field had three different water management systems: 22 ha undrained (UD), 11 ha subsurface drained, and the remaining 11 ha subsurface drained and subsurface irrigated. The ET rates were measured directly using an eddy covariance (EC) system for the SSD and UD fields. The changes in water table were monitored in 8 wells installed in both fields. Rainfall, SSD drainage volume, and soil moisture at six different depths at two locations were measured in both fields. The measurements were conducted in the growing seasons of 2009 and 2010. The ET rates were calculated for two different field crops: Com (Zea Mays) in 2009 and soybean (Glycine Max) in 2010. Crop coefficient (Kc) value was also developed using the ET measured by the EC system and the reference ET (ETref) estimated using the American Society of Civil Engineers Environmental and Water Resources Institute (ASCE-EWRI, alfalfa) method. The ETref was also estimated using the ASCE-EWRI grass and the Jensen Haise (JH) methods. The results indicated that the water table in the SSD field was lower during spring and fall than that in the UD field. The shallow water table and high soil moisture content in the spring and fall have resulted in higher ET rates in the UD field. In the summer, SSD field has favorable soil moisture at the root zone depth; the ET in the SSD field was 30% and 13% higher than that in UD field in summer 2009 and 2010, respectively. For the entire growing season, the ET in the SSD field was 15% higher compared to UD field and the difference was minimal in 2010. Though there were differences in the ET values, they were not statistically different. However, difference in magnitude of ET during summer 2009 yielded a statistical difference. During the peak growing season in July and August, the Kc values were greater in the SSD field due to healthy crops.
USDA (Grants CSREES NRI 2008-35102-19253)
USDA NRCS
North Dakota Agricultural Experiment Station
North Dakota State Water Commission
North Dakota Water Resource Research Institute
North Dakota Department of Health
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Brown, Paul. "Standardized Reference Evapotranspiration: A New Procedure for Estimating Reference Evapotranspiration in Arizona." College of Agriculture and Life Sciences, University of Arizona (Tucson, AZ), 2005. http://hdl.handle.net/10150/147007.

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This publication describes the procedure that is now recommended as a US standard for computing reference evapotranspiration. Included in the publication are: the rationale for developing the new procedure, the equations utilized in the new procedure, a discussion of how the new procedure differs from the established AZMET procedure, and tables to facilitate conversion between procedures (new and AZMET).
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Maddock, Thomas III, and Kathryn J. Baird. "A riparian evapotranspiration package." Department of Hydrology and Water Resources, University of Arizona (Tucson, AZ), 2002. http://hdl.handle.net/10150/615764.

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A new evapotranspiration package for the U.S. Geological Survey's groundwater -flow model, MODFLOW, is documented. The Riparian Evapotranspiration Package (RIP-ET), provides flexibility in simulating riparian and wetland evapotranspiration (ET) not provided by the MODFLOW-96 Evapotranspiration (EVT) Package, nor by the MODFLOW-2000 Segmented Function Evapotranspiration (ETS1) Package. This report describes how the package was conceptualized and provides input instructions, listings and explanations of the source code, and an example simulation. Traditional approaches to modeling ET processes assume a piecewise linear relationship between ET flux rate and hydraulic head. The Riparian ET Package replaces this traditional relationship with a segmented, nonlinear dimensionless curve that reflects the eco-physiology of riparian and wetland ecosystems. Evapotranspiration losses from these ecosystems are dependent not only on hydraulic head but on the plant types present. User-defined plant functional groups (PFGs) are used to elucidate the interactive processes of plant ET with groundwater conditions. Five generalized plant functional groups based on transpiration rates, plant rooting depth, and drought tolerance are presented: obligate wetland, shallow-rooted riparian, deep-rooted riparian, transitional riparian and bare ground/open water. Plant functional groups can be further divided into subgroups (PFSG) based on plant size and/or density. The Riparian ET Package allows for partial habitat coverage and mixtures of plant functional subgroups to be present in a single model cell. This requires a determination of fractional coverage for each of the plant functional subgroups present in a cell to simulate the mixture of coverage types and resulting ET. The fractional cover within a cell has three components: 1) fraction of active habitat, 2) fraction of plant functional subgroup in a cell, and 3) fraction of plant canopy area. The Riparian ET package determines the ET rate for each plant functional group in a cell, the total ET in the cell, and the total ET rate over the region of simulation.
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Fenton, Lynda L. "Evapotranspiration of Kentucky Bluegrass." DigitalCommons@USU, 2010. https://digitalcommons.usu.edu/etd/745.

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Rapid population growth in arid regions of the western US is placing increased demand on water resources. Variability in precipitation and common occurrence of drought have promoted scrutiny of water use in urban lawns and gardens. However, few reliable measurements of water use of these landscapes exist. Quantifying the amount of water used vs. required by landscapes such as turfgrass would allow significant water conservation. Evapotranspiration (ET) is affected by biophysical factors such as: available energy, turbulent mixing, saturation deficit, soil water, and stomatal conductance. In order to simulate the water use by turfgrass, the relative importance of these processes must be determined for this environment. This study measures ET rates for Kentucky bluegrass using eddy covariance techniques, to quantify water use under various conditions. The results are combined with a coupled form of the Penman-Monteith Equation to determine which biophysical factors affect the ET rate under various atmospheric conditions, especially the advection of heat and saturation deficit from the regional atmosphere. In addition, changes in ET and other properties of the vegetation were monitored during a period of reduced irrigation or dry-down. These results will help determine the amount of water such landscapes actually need.
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Goodman, Ryan. "Wi-fi evapotranspiration irrigation controller." Click here to view, 2010. http://digitalcommons.calpoly.edu/eesp/22/.

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Thesis (B.S.)--California Polytechnic State University, 2010.
Project advisor: James Harris. Title from PDF title page; viewed on Apr. 19, 2010. Includes bibliographical references. Also available on microfiche.
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Yitayew, Muluneh. "Reference Evapotranspiration Estimates for Arizona." College of Agriculture, University of Arizona (Tucson, AZ), 1990. http://hdl.handle.net/10150/602135.

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Li, Fuqin. "Large scale estimation of evapotranspiration." Thesis, Li, Fuqin (1999) Large scale estimation of evapotranspiration. PhD thesis, Murdoch University, 1999. https://researchrepository.murdoch.edu.au/id/eprint/51652/.

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Evapotranspiration is an essential component of the energy and water bud­get, but its estimation depends on available data sources and the environment of an area. Remote sensing techniques, combined with routine meteorological data, are used to estimate evapotranspiration over central Australia through the development and application of a number of models, ranging from physically based instantaneous models to a daily simulation model. The proposed models are evaluated using aircraft observations over two dis­tinct vegetation regimes in south-western Australia. Among the three physically based instantaneous models, single-source models using an excess resistance term empirically determined performed better than a two-source model which does not require such a parameterization. The mean absolute difference between measured and estimated values of the sensible heat flux is below 17 wm-2 in comparison to approximately 40 Wm-2 for evapotranspiration. Estimates of evapotranspiration depend on the closure of the surface energy balance and incorporate all residual errors in this closure. All models perform better over the agricultural vegetation than over the native vegetation. As these physically based models only provide instantaneous estimates of evapotranspiration at satellite overpass, a coupled one dimensional soil-canopy­atmosphere model and a simple budget water balance model have been used to simulate the daily evapotranspiration. Comparison of these results with the air-craft observations shows that the coupled model provides a good estimate of sur­face heat fluxes over the agricultural area with mean absolute differences between measured and estimate values being approximately 25 wm-2 for both sensible heat flux and evapotranspiration. Over the native vegetation, the mean absolute difference between measured and observed fluxes increased to 49 and 47 wm-2, respectively, for the sensible heat and evapotranspiration. This increase results from the inability of a simple water balance model to incorporate the effects of the underlying aquifer on deep rooted native vegetation, particularly during the dry summer season. It also highlights the sensitivity of the one dimensional soil-canopy-atmosphere model to the specification of soil moisture. Since the model simulation of surface temperature is also very sensitive to the soil moisture, a comparison between model simulation of surface temperature and satellite derived surface temperature was used to adjust parameters of a water balance model resulting in better estimates of soil moisture and consequently improved predictions of evapotranspiration. These models have been applied to estimating evapotranspiration in central Australia, using limited routine meteorological data and the NOAA-14 AVHRR overpass. Minimizing the difference between model predicted surface temperature and satellite derived temperature to adjust the estimated soil moisture, both the instantaneous physically based model and the simulation yielded consistent re­sults for 8 representative clear sky days during 1996-1997. These results highlight the sensitivity of surface temperature to soil moisture and suggest that radiomet­ric surface temperature can be used to adjust simple water balance estimates of soil moisture providing a simple and effective means of estimating large scale evapotranspiration in remote arid regions.
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Brown, Paul. "Basics of Evaporation and Evapotranspiration." College of Agriculture and Life Sciences, University of Arizona (Tucson, AZ), 2014. http://hdl.handle.net/10150/311700.

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Revised. (Originally published: 2000).
4 pp.
Introduction: Local information on evapotranspiration (ET) is now readily available from on-site weather stations and/or public weather networks to assist turfgrass professionals with irrigation management decisions. Proper utilization of ET information can provide accurate estimates of daily water use and thus can assist irrigation managers with the all important decisions of when to apply water and how much water to apply. The concept of ET can be confusing and often is presented in a highly technical manner. The objective of this and subsequent bulletins in the Turf Irrigation Management Series is to simplify the subject of ET and thereby increase the effective utilization of ET in irrigation management. This bulletin provides some basic background on the related subjects of evaporation and evapotranspiration.
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Brown, Paul. "Basics of Evaporation and Evapotranspiration." College of Agriculture and Life Sciences, University of Arizona (Tucson, AZ), 2000. http://hdl.handle.net/10150/146968.

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The objective of this and subsequent bulletins in the Turf Irrigation Management Series is to simplify the subject of ET and thereby increase the effective utilization of ET in irrigation management. This bulletin provides some basic background on the related subjects of evaporation and evapotranspiration.
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Ben, Hamouda Ghaieth <1987&gt. "Evapotranspiration: Present and Future Challenges." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amsdottorato.unibo.it/9501/5/Evapotranspiration_Present%20and%20Future%20Challenges.pdf.

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The thesis first explored and evaluated some of the most used models that were developed to account for the effect of CO2 on evapotranspiration. This review depicts the complexity of the modeling procedure and underlines the advantages and shortcomings of each model. Then, the projected climate change in the near future (2021-2050) in different locations in Emilia-Romagna (Italy) was studied, with an emphasis on the opposite effect of an increase in both air temperature and CO2 levels on ETo. The case study used reanalysis data as a surrogate to historical weather stations measurements and an ensemble of regional climate models (RCMs) for the future projections. Results show that higher CO2 levels moderated the increase in ETo that accompanies an increase in air temperature, taking in consideration the change in other weather variables i.e. solar radiation, wind speed and dew point temperature. The outcomes of this study show that considering the CO2 fertilization effect when calculating reference evapotranspiration might give a more realistic estimation of water use efficiency and irrigation requirements in Emilia-Romagna and a better analysis of the future availability and distribution of water resources in the region. Finally, data from a model forecasting reference evapotranspiration (FRET) and the different variables involved in its calculation for the state of California (USA) were compared with similar data from the regional weather station network (CIMIS) to evaluate their accuracy and reliability. The evaluation was done in locations with different microclimates and included also sample irrigation schedules developed using FRET ETo. The obtained results demonstrate that FRET ETo forecasts are a viable alternative to traditional ETo measurements with some differences depending on the climatic condition of the location considered in this study. This implies that FRET could be replicated in other areas with similar climate settings.
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Books on the topic "Evapotranspiration"

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Abtew, Wossenu, and Assefa Melesse. Evaporation and Evapotranspiration. Dordrecht: Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-4737-1.

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Sousa, Daniel John. Multiscale Imaging of Evapotranspiration. [New York, N.Y.?]: [publisher not identified], 2019.

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A, Black T., International Union of Geodesy and Geophysics. General Assembly, World Meteorological Organization, and IAHS International Commission on Surface Water., eds. Estimation of areal evapotranspiration. Wallingford, Oxfordshire, UK: International Association of Hydrological Sciences, 1989.

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Yang, Yuting. Evapotranspiration Over Heterogeneous Vegetated Surfaces. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-46173-0.

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Burman, Robert D. Evaporation, evapotranspiration and climatic data. Amsterdam: Elsevier, 1994.

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Kotoda, Kazuo. Estimation of river basin evapotranspiration. Ibaraki, Japan: Environmental Research Center, University of Tsukuba, 1986.

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Burman, R. Evaporation, evapotranspiration and climatic data. Amsterdam: Elsevier, 1994.

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Kotoda, Kazuo. Estimation of river basin evapotranspiration. Ibaraki, Japan: Environmental Research Center, University of Tsukuba, 1986.

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Franco, E. P. Cardoso. Quantificação do coeficiente [alpha] da fórmula de piche (corrigida) para aplicação do método de Bouchet ao território de Portugal continental. Lisboa: Ministério do Planeamento e da Administração do Território, Secretaria de Estado da Ciência e Tecnologia, 1991.

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1958-, Berger David L., Nevada. Division of Water Resources., U.S. Fish and Wildlife Service., and Geological Survey (U.S.), eds. Estimates of evapotranspiration from the Ruby Lake National Wildlife Refuge area, Ruby Valley, northeastern Nevada, May 1999-October 2000. Carson City, Nev: U.S. Dept. of the Interior, U.S. Geological Survey, 2001.

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Book chapters on the topic "Evapotranspiration"

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Engman, E. T., and R. J. Gurney. "Evapotranspiration." In Remote Sensing in Hydrology, 85–102. Dordrecht: Springer Netherlands, 1991. http://dx.doi.org/10.1007/978-94-009-0407-1_5.

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Waller, Peter, and Muluneh Yitayew. "Evapotranspiration." In Irrigation and Drainage Engineering, 67–87. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-05699-9_5.

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Novák, Viliam. "Evapotranspiration." In Encyclopedia of Agrophysics, 280–83. Dordrecht: Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-90-481-3585-1_55.

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Musy, Marjorie. "Evapotranspiration." In Solar Energy at Urban Scale, 139–57. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118562062.ch7.

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da Rocha, Humberto R., Antonio O. Manzi, and Jim Shuttleworth. "Evapotranspiration." In Amazonia and Global Change, 261–72. Washington, D. C.: American Geophysical Union, 2009. http://dx.doi.org/10.1029/2008gm000744.

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Robins, J. S. "Evapotranspiration." In Agronomy Monographs, 286–98. Madison, WI, USA: American Society of Agronomy, Soil Science Society of America, 2015. http://dx.doi.org/10.2134/agronmonogr9.1.c20.

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Waller, Peter, and Muluneh Yitayew. "Crop Evapotranspiration." In Irrigation and Drainage Engineering, 89–104. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-05699-9_6.

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Abtew, Wossenu, and Assefa Melesse. "Wetland Evapotranspiration." In Evaporation and Evapotranspiration, 93–108. Dordrecht: Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-4737-1_7.

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Goyal, Megh. "Evapotranspiration." In Evapotranspiration, 87–108. Apple Academic Press, 2013. http://dx.doi.org/10.1201/b15779-7.

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Sumner, David. "Evapotranspiration for Cypress and Pine Forests." In Evapotranspiration, 165–225. Apple Academic Press, 2013. http://dx.doi.org/10.1201/b15779-10.

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Conference papers on the topic "Evapotranspiration"

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Ghilain, Nicolas, Francoise Gellens-Meulenberghs, and Alirio Arboleda. "Continuous monitoring of evapotranspiration (ET) overview of LSA-SAF evapotranspiration products." In Remote Sensing for Agriculture, Ecosystems, and Hydrology, edited by Christopher M. Neale and Antonino Maltese. SPIE, 2017. http://dx.doi.org/10.1117/12.2278249.

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DEMIRCI, Mustafa, Bestami TASAR, Yunus Ziya KAYA, and Hakan VARCİN. "" Estimation of Reference Evapotranspiration Using Support Vector Machines: a Case Study of Adana, Turkey. "." In Air and Water – Components of the Environment 2022 Conference Proceedings. Casa Cărţii de Ştiinţă, 2022. http://dx.doi.org/10.24193/awc2022_20.

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Abstract:
Evapotranspiration is an important parameter in hydrological and meteorological studies. Evapotranspiration forecasting plays an important role in irrigation management and hydraulic designs, especially during dry periods. In this study, average temperature (T), relative humidity (RH), wind speed (U), solar radiation (SR) parameters were used to estimate the daily evapotranspiration amount. Daily evapotranspiration estimation (ET0) was made according to the Penman-Monteith method recommended by FAO (Food and Agriculture Organization) as a standard method. The Penman-Monteith method was considered as the reference equation. Support Vector Machines (SVM) methods with four different input combinations were used to estimate the daily evapotranspiration of Adana province. SVM models were compared with each other and the reference equations’ results. According to the results obtained from SVM models, SVM3 model giave slightly better results according to the higher determination coefficient and lowest error data.
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Abtew, W., and A. M. Melesse. "Landscape Dynamics and Evapotranspiration." In World Environmental and Water Resources Congress 2016. Reston, VA: American Society of Civil Engineers, 2016. http://dx.doi.org/10.1061/9780784479872.069.

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Eching, Simon, and Richard L. Snyder. "Estimating Urban Landscape Evapotranspiration." In World Water and Environmental Resources Congress 2005. Reston, VA: American Society of Civil Engineers, 2005. http://dx.doi.org/10.1061/40792(173)309.

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Bagis, Serdar, Eyup Selim Koksal, and Burak Berk Ustundag. "Large area evapotranspiration mapping system." In 2015 Fourth International Conference on Agro-Geoinformatics. IEEE, 2015. http://dx.doi.org/10.1109/agro-geoinformatics.2015.7248134.

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Walter, I. A., R. G. Allen, R. Elliott, M. E. Jensen, D. Itenfisu, B. Mecham, T. A. Howell, et al. "ASCE's Standardized Reference Evapotranspiration Equation." In Watershed Management and Operations Management Conferences 2000. Reston, VA: American Society of Civil Engineers, 2001. http://dx.doi.org/10.1061/40499(2000)126.

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Abtew, W., J. Obeysekera, M. Irizarry-Ortiz, D. Lyons, and A. Reardon. "Evapotranspiration Estimation for South Florida." In World Water and Environmental Resources Congress 2003. Reston, VA: American Society of Civil Engineers, 2003. http://dx.doi.org/10.1061/40685(2003)235.

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Howell, T. A., J. A. Tolk, S. R. Evett, K. S. Copeland, and D. A. Dusek. "Evapotranspiration of Deficit Irrigated Sorghum." In World Environmental and Water Resources Congress 2007. Reston, VA: American Society of Civil Engineers, 2007. http://dx.doi.org/10.1061/40927(243)242.

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Prasad, Rai Sachindra. "Modeling evapotranspiration: Some issues resolved." In 2012 Annual IEEE India Conference (INDICON). IEEE, 2012. http://dx.doi.org/10.1109/indcon.2012.6420793.

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Pereira, J. R., W. P. Araújo, E. S. A. B. Almeida, J. R. C. Bezerra, H. O. C. Guerra, and J. H. Zonta. "Sesame Crop Coefficients, Using Crop Evapotranspiration by Water Balance and, Reference Evapotranspiration by Penman-Monteith." In II Inovagri International Meeting. Fortaleza, Ceará, Brasil: INOVAGRI/INCT-EI/INCTSal, 2014. http://dx.doi.org/10.12702/ii.inovagri.2014-a109.

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Reports on the topic "Evapotranspiration"

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Link, S. O., and W. J. Waugh. Evapotranspiration studies for protective barriers: Experimental plans. Office of Scientific and Technical Information (OSTI), November 1989. http://dx.doi.org/10.2172/5064764.

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Link, S. O., J. L. Downs, M. E. Thiede, D. J. Lettau, T. R. Twaddell, and R. A. Black. Evapotranspiration studies for protective barriers: FY 1990 status report. Office of Scientific and Technical Information (OSTI), May 1992. http://dx.doi.org/10.2172/10154353.

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Link, S. O., J. L. Downs, M. E. Thiede, D. J. Lettau, T. R. Twaddell, and R. A. Black. Evapotranspiration studies for protective barriers: FY 1990 status report. Office of Scientific and Technical Information (OSTI), May 1992. http://dx.doi.org/10.2172/5120494.

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Link, S. O., M. E. Thiede, R. D. Evans, J. L. Downs, and W. J. Waugh. Evapotranspiration studies for protective barriers: FY 1988 status report. Office of Scientific and Technical Information (OSTI), May 1990. http://dx.doi.org/10.2172/6988115.

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Liu, J., J. M. Chen, J. Cihlar, W. Chen, and G. Pavlic. Quantifying the Spatial Distribution of Evapotranspiration with Satellite Data. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1999. http://dx.doi.org/10.4095/219532.

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Czarnecki, J. B. Geohydrology and evapotranspiration at Franklin Lake playa, Inyo County, California. Office of Scientific and Technical Information (OSTI), December 1997. http://dx.doi.org/10.2172/604254.

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Coulter, R. L., G. E. Klazura, B. M. Lesht, and M. L. Wesely. Long-term evapotranspiration estimates in the Walnut River Watershed in Kansas. Office of Scientific and Technical Information (OSTI), August 1999. http://dx.doi.org/10.2172/12043.

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Wilson, G. V., M. Henley, and R. Valceschini. Numerical evaluation of monofil and subtle-layered evapotranspiration (ET) landfill caps. Office of Scientific and Technical Information (OSTI), January 1998. http://dx.doi.org/10.2172/615649.

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Kolka, Randall K., and Ann T. Wolf. Estimating actual evapotranspiration for forested sites: modifications to the Thornthwaite Model. Asheville, NC: U.S. Department of Agriculture, Forest Service, Southern Research Station, 1998. http://dx.doi.org/10.2737/srs-rn-006.

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Kolka, Randall K., and Ann T. Wolf. Estimating actual evapotranspiration for forested sites: modifications to the Thornthwaite Model. Asheville, NC: U.S. Department of Agriculture, Forest Service, Southern Research Station, 1998. http://dx.doi.org/10.2737/srs-rn-6.

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