Английская Википедия:Evapotranspiration
Evapotranspiration (ET) is the combined processes which move water from the Earth's surface (open water and ice surfaces, bare soil and vegetation) into the atmosphere.[2]Шаблон:Rp It covers both water evaporation (movement of water to the air directly from soil, canopies, and water bodies) and transpiration (evaporation that occurs through the stomata, or openings, in plant leaves). Evapotranspiration is an important part of the local water cycle and climate, and measurement of it plays a key role in agricultural irrigation and water resource management.[3]
Definition
Evapotranspiration is defined as: "The combined processes through which water is transferred to the atmosphere from open water and ice surfaces, bare soil and vegetation that make up the Earth’s surface."[2]Шаблон:Rp
Evapotranspiration is a combination of evaporation and transpiration, measured in order to better understand crop water requirements, irrigation scheduling,[4] and watershed management.[5] The two key components of evapotranspiration are:
- Evaporation: the movement of water directly to the air from sources such as the soil and water bodies. It can be affected by factors including heat, humidity, solar radiation and wind speed.[6]Шаблон:Rp
- Transpiration: the movement of water from root systems, through a plant, and exit into the air as water vapor. This exit occurs through stomata in the plant. Rate of transpiration can be influenced by factors including plant type, soil type, weather conditions and water content, and also cultivation practices.[6]Шаблон:Rp
Evapotranspiration is typically measured in millimeters of water (i.e. volume of water moved per unit area of the Earth's surface) in a set unit of time.[6]Шаблон:Rp Globally, it is estimated that on average between three-fifths and three-quarters of land precipitation is returned to the atmosphere via evapotranspiration.[7][8][9]Шаблон:Rp
Evapotranspiration does not, in general, account for other mechanisms which are involved in returning water to the atmosphere, though some of these, such as snow and ice sublimation in regions of high elevation or high latitude, can make a large contribution to atmospheric moisture even under standard conditions.
Influencing factors
Primary factors
Levels of evapotranspiration in a given area are primarily controlled by three factors:[10] Firstly, the amount of water present. Secondly, the amount of energy present in the air and soil (e.g. heat, measured by the global surface temperature); and thirdly the ability of the atmosphere to take up water (humidity).
Regarding the second factor (energy and heat): climate change has increased global temperatures (see instrumental temperature record). This global warming has increased evapotranspiration over land.[11]Шаблон:Rp The increased evapotranspiration is one of the effects of climate change on the water cycle.
Secondary factors
Vegetation type
Vegetation type impacts levels of evapotranspiration.[12] For example, herbaceous plants generally transpire less than woody plants, because they usually have less extensive foliage. Also, plants with deep reaching roots can transpire water more constantly, because those roots can pull more water into the plant and leaves. Another example is that conifer forests tend to have higher rates of evapotranspiration than deciduous broadleaf forests, particularly in the dormant winter and early spring seasons, because they are evergreen.[13]
Vegetation coverage
Transpiration is a larger component of evapotranspiration (relative to evaporation) in vegetation-abundant areas.[14] As a result, denser vegetation, like forests, may increase evapotranspiration and reduce water yield.
Two exceptions to this are cloud forests and rainforests. In cloud forests, trees collect the liquid water in fog or low clouds onto their surface, which eventually drips down to the ground. These trees still contribute to evapotranspiration, but often collect more water than they evaporate or transpire.[15][16] In rainforests, water yield is increased (compared to cleared, unforested land in the same climatic zone) as evapotranspiration increases humidity within the forest (a portion of which condenses and returns quickly as precipitation experienced at ground level as rain). The density of the vegetation blocks sunlight and reduces temperatures at ground level (thereby reducing losses due to surface evaporation), and reduces wind speeds (thereby reducing the loss of airborne moisture). The combined effect results in increased surface stream flows and a higher ground water table whilst the rainforest is preserved. Clearing of rainforests frequently leads to desertification as ground level temperatures and wind speeds increase, vegetation cover is lost or intentionally destroyed by clearing and burning, soil moisture is reduced by wind, and soils are easily eroded by high wind and rainfall events.[17][18]
Soil and irrigation
Шаблон:Unreferenced section In areas that are not irrigated, actual evapotranspiration is usually no greater than precipitation, with some buffer and variations in time depending on the soil's ability to hold water. It will usually be less because some water will be lost due to percolation or surface runoff. An exception is areas with high water tables, where capillary action can cause water from the groundwater to rise through the soil matrix back to the surface. If potential evapotranspiration is greater than the actual precipitation, then soil will dry out until conditions stabilize, unless irrigation is used.
Measurements
Шаблон:More citations needed section
Direct measurement
Шаблон:Main Evapotranspiration can be measured directly with a weighing or pan lysimeter. A lysimeter continuously measures the weight of a plant and associated soil, and any water added by precipitation or irrigation. The change in storage of water in the soil is then modeled by measuring the change in weight. When used properly, this allows for precise measurement of evapotranspiration over small areas.
Indirect estimation
Because atmospheric vapor flux is difficult or time-consuming to measure directly,[9]Шаблон:Rp evapotranspiration is typically estimated by one of several different methods that do not rely on direct measurement.
Catchment water balance
Evapotranspiration may be estimated by evaluating the water balance equation for a given area:. The water balance equation relates the change in water stored within the basin (S) to its input and outputs:
<math>\Delta S = P - ET - Q - D \,\!</math>
In the equation, the change in water stored within the basin (ΔS) is related to precipitation (P) (water going into the basin), and evapotranspiration (ET), streamflow (Q), and groundwater recharge (D) (water leaving the basin). By rearranging the equation, ET can be estimated if values for the other variables are known:
<math>ET = P -\Delta S - Q - D \,\!</math>
Energy balance
A second methodology for estimation is by calculating the energy balance.
<math> \lambda E = R_n - G - H \,\!</math>
where λE is the energy needed to change the phase of water from liquid to gas, Rn is the net radiation, G is the soil heat flux and H is the sensible heat flux. Using instruments like a scintillometer, soil heat flux plates or radiation meters, the components of the energy balance can be calculated and the energy available for actual evapotranspiration can be solved.
The SEBAL and METRIC algorithms solve for the energy balance at the Earth's surface using satellite imagery. This allows for both actual and potential evapotranspiration to be calculated on a pixel-by-pixel basis. Evapotranspiration is a key indicator for water management and irrigation performance. SEBAL and METRIC can map these key indicators in time and space, for days, weeks or years.[19]
Estimation from meteorological data
Given meteorological data like wind, temperature, and humidity, reference ET can be calculated. The most general and widely used equation for calculating reference ET is the Penman equation. The Penman–Monteith variation is recommended by the Food and Agriculture Organization[20] and the American Society of Civil Engineers.[21] The simpler Blaney–Criddle equation was popular in the Western United States for many years but it is not as accurate in wet regions with higher humidity. Other equations for estimating evapotranspiration from meteorological data include the Makkink equation, which is simple but must be calibrated to a specific location, and the Hargreaves equations.
To convert the reference evapotranspiration to the actual crop evapotranspiration, a crop coefficient and a stress coefficient must be used. Crop coefficients, as used in many hydrological models, usually change over the year because crops are seasonal and, in general, plant behaviour varies over the year: perennial plants mature over multiple seasons, while annuals do not survive more than a fewШаблон:Clarify, so stress responses can significantly depend upon many aspects of plant type and condition.
Potential evapotranspiration
List of remote sensing based evapotranspiration models
- ALEXI[22]
- BAITSSS[23][24]
- METRIC[25]
- Abtew Method[26]
- SEBAL[27]
- SEBS[28]
- SSEBop[29]
- PT-JPL[30][31]
- ETMonitor[30][32]
- ETLook[30]
- ETWatch[33][34]
See also
- Eddy covariance flux (aka eddy correlation, eddy flux)
- Effects of climate change on the water cycle
- Hydrology (agriculture)
- Hydrologic Evaluation of Landfill Performance (HELP)
- Latent heat flux
- Water Evaluation And Planning system (WEAP)
- Soil plant atmosphere continuum
- Deficit irrigation
- Biotic pump
References
External links
- New Mexico Eddy Covariance Flux Network (Rio-ET)
- Texas Evapotranspiration Network
- Use and Construction of a Lysimeter to Measure Evapotranspiration
- Washoe County (NV) Et Project
- US Geological Survey
- ↑ Brun, P., Zimmermann, N.E., Hari, C., Pellissier, L., Karger, D.N. (preprint): Global climate-related predictors at kilometre resolution for the past and future. Earth Syst. Sci. Data Discuss. https://doi.org/10.5194/essd-2022-212 Шаблон:Webarchive
- ↑ 2,0 2,1 IPCC, 2022: Annex II: Glossary [Möller, V., R. van Diemen, J.B.R. Matthews, C. Méndez, S. Semenov, J.S. Fuglestvedt, A. Reisinger (eds.)]. In: Climate Change 2022: Impacts, Adaptation and Vulnerability. Contribution of Working Group II to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [H.-O. Pörtner, D.C. Roberts, M. Tignor, E.S. Poloczanska, K. Mintenbeck, A. Alegría, M. Craig, S. Langsdorf, S. Löschke, V. Möller, A. Okem, B. Rama (eds.)]. Cambridge University Press, Cambridge, UK and New York, NY, USA, pp. 2897–2930, doi:10.1017/9781009325844.029.
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- ↑ Douville, H., K. Raghavan, J. Renwick, R.P. Allan, P.A. Arias, M. Barlow, R. Cerezo-Mota, A. Cherchi, T.Y. Gan, J. Gergis, D. Jiang, A. Khan, W. Pokam Mba, D. Rosenfeld, J. Tierney, and O. Zolina, 2021: Chapter 8: Water Cycle Changes. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1055–1210, doi:10.1017/9781009157896.010.
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- ↑ Abtew W. Evapotranspiration Measurements and Modeling for Three Wetland Systems in South Florida. J. Am. Water Resour. Assn. 1996;32:465–473.
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- ↑ 30,0 30,1 30,2 FAO. 2023. Remote sensing determination of evapotranspiration – Algorithms, strengths, weaknesses, uncertainty and best fit-for-purpose. Cairo. https://doi.org/10.4060/cc8150en
- ↑ Fisher J.B., Tu K.P. and Baldocchi D.D. 2008. Global estimates of the land–atmosphere water flux based on monthly AVHRR and ISLSCP-II data, validated at 16 FLUXNET sites. Remote sensing Environ., 112: 901–919
- ↑ Hu G. and Jia L. 2015. Monitoring of evapotranspiration in a semi-arid inland river basin by combining microwave and optical remote sensing observations. Remote sensing, 7: 3056-3087; https://doi.org/10.3390/rs70303056
- ↑ FAO. 2023. Remote sensing determination of evapotranspiration – Algorithms, strengths, weaknesses, uncertainty and best fit-for- purpose. Cairo. https://doi.org/10.4060/cc8150en
- ↑ Wu B., Zhu W., Yan N., Xing Q., Xu J., Ma Z. and Wang L. 2020. Regional actual evapotranspiration estimation with land and meteorological variables derived from multi-source satellite data. Remote sensing, 12, 332; https://doi.org/10.3390/rs12020332
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