Evapotranspiration: Concepts and Future Trends

Pereira, L. S.; Perrier, Alain; Allen, Richard G.; Alves, Isabel

doi:10.1061/(asce)0733-9437(1999)125:2(45)

Cited by 190 publications

(154 citation statements)

References 25 publications

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“…It is also influenced by soil water content, the rate at which water can be taken up from the soil by the plant roots and crop characteristics (type, variety and growth stage) [64]. Readers are directed to [41,65] for a further discussion on the ET process.…”

Section: Weather-based Sensingmentioning

confidence: 99%

Advanced Monitoring and Management Systems for Improving Sustainability in Precision Irrigation

et al. 2017

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Globally, the irrigation of crops is the largest consumptive user of fresh water. Water scarcity is increasing worldwide, resulting in tighter regulation of its use for agriculture. This necessitates the development of irrigation practices that are more efficient in the use of water but do not compromise crop quality and yield. Precision irrigation already achieves this goal, in part. The goal of precision irrigation is to accurately supply the crop water need in a timely manner and as spatially uniformly as possible. However, to maximize the benefits of precision irrigation, additional technologies need to be enabled and incorporated into agriculture. This paper discusses how incorporating adaptive decision support systems into precision irrigation management will enable significant advances in increasing the efficiency of current irrigation approaches. From the literature review, it is found that precision irrigation can be applied in achieving the environmental goals related to sustainability. The demonstrated economic benefits of precision irrigation in field-scale crop production is however minimal. It is argued that a proper combination of soil, plant and weather sensors providing real-time data to an adaptive decision support system provides an innovative platform for improving sustainability in irrigated agriculture. The review also shows that adaptive decision support systems based on model predictive control are able to adequately account for the time-varying nature of the soil-plant-atmosphere system while considering operational limitations and agronomic objectives in arriving at optimal irrigation decisions. It is concluded that significant improvements in crop yield and water savings can be achieved by incorporating model predictive control into precision irrigation decision support tools. Further improvements in water savings can also be realized by including deficit irrigation as part of the overall irrigation management strategy. Nevertheless, future research is needed for identifying crop response to regulated water deficits, developing improved soil moisture and plant sensors, and developing self-learning crop simulation frameworks that can be applied to evaluate adaptive decision support strategies related to irrigation.

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Section: Weather-based Sensingmentioning

confidence: 99%

Advanced Monitoring and Management Systems for Improving Sustainability in Precision Irrigation

et al. 2017

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“…This paper demonstrates the great potential of the statistical modelling of climate variables when used in tandem with GIS to map ET o , a variable that is important in many environmental processes and is very useful for the management of agriculture, ecology, and water resources (Doorenbos and Pruitt, 1977;Pereira et al, 1999).…”

Section: Discussionmentioning

confidence: 87%

“…Water entering the evaporation phase of the hydrological cycle becomes unavailable for the generation of runoff or replenishment of groundwater (Doorenbos and Pruitt, 1977;Sharma, 1985;Jensen et al, 1990;Tsanis and Naoum, 2003;Pereira et al, 1999). Globally, an average of 57% of the annual precipitation returns to the atmosphere via evapotranspiration, and this value may reach 90-100% in arid or desert areas (Sanchez-Toribio, 1992).…”

Section: Introductionmentioning

confidence: 99%

Comparison of different procedures to map reference evapotranspiration using geographical information systems and regression‐based techniques

Vicente‐Serrano

Lanjeri

López‐Moreno

2007

Intl Journal of Climatology

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Abstract:This paper compares different procedures for mapping reference evapotranspiration (ET o ) by means of regression-based techniques and geographical information systems (GIS). ET o is calculated following the method of Hargreaves (HG) from a dense database of meteorological stations in the northernmost semi-arid region of Europe, the Ebro valley. The HG method requires the calculation of estimates of extraterrestrial radiation (R a ). We calculated this parameter using two approaches: (1) the common approach that assumes a planar surface and determines the parameter as a function of latitude and (2) using a digital terrain model (DTM) and GIS modelling. The maps were made on a monthly basis using both approaches. We also compared possible propagations of errors in the map calculations for maps derived from modelled layers of maximum and minimum temperatures with those modelled using previously determined local ET o calculations. We demonstrate that calculations of R a from a DTM and GIS modelling provide a more realistic spatial distribution of ET o than those derived by only considering latitude. It is also preferable to model in advance the variables involved in the calculation of ET o (temperature and R a ) and to subsequently calculate ET o by means of layer algebra in the GIS rather than directly model the local ET o calculations. The obtained maps are useful for the purposes of agriculture and ecological and water resources management in the study area.

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“…k * θ (-) is the critical threshold below which the soil is considered under water stress, commonly set at 0.5 or at a moisture content of half the soil moisture content at field capacity, θ fc (-) (Dingman, 2002;Gervais et al, 2012). At this point, soil water availability for plants is limited and the actual evapotranspiration rate becomes less than the potential evapotranspiration (Pereira et al, 1999).…”

Section: Forcing and Boundary Conditionsmentioning

confidence: 99%

Hortonian runoff closure relations for geomorphologic response units: evaluation against field data

Vannametee

Karssenberg

Hendriks

et al. 2013

Hydrol. Earth Syst. Sci.

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Abstract. This paper presents an evaluation of the closure relation for Hortonian runoff, proposed in Vannametee et al. (2012), that incorporates a scaling component to explicitly account for the process heterogeneity and scale effects in runoff generation for the real-world case studies. We applied the closure relation, which was embedded in an eventbased lumped rainfall-runoff model, to a 15 km 2 catchment in the French Alps. The catchment was disaggregated into a number of landform units, referred to as Geomorphologic Response Units (GRUs), to each of which the closure relation was applied. The scaling component in the closure relation was identified using the empirical relations between rainstorm characteristics, geometry, and local-scale measurable properties of the GRUs. Evaluation of the closure relation performance against the observed discharge shows that the hydrograph and discharge volume were quite satisfactorily simulated even without calibration. Performance of the closure relation can be mainly attributed to the use of scaling component, as it is shown that our closure relation outperforms a benchmark closure relation that lacks this scaling component. The discharge prediction is significantly improved when the closure relation is calibrated against the observed discharge, resulting in local-scale GRUproperties optimal for the predictions. Calibration was done by changing one local-scale observable, i.e. hydraulic conductivity (K s ), using a single pre-factor for the entire catchment. It is shown that the calibrated K s values are somewhat comparable to the observed K s values at a local scale in the study catchment. These results suggest that, in the absence of discharge observations, reasonable estimates of catchment-scale runoff responses can possibly be achieved with the observations at the sub-GRU (i.e. plot) scale. Our study provides a platform for the future development of lowdimensional, semi-distributed, physically based discharge models in ungauged catchments.

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Evapotranspiration: Concepts and Future Trends

Cited by 190 publications

References 25 publications

Advanced Monitoring and Management Systems for Improving Sustainability in Precision Irrigation

Advanced Monitoring and Management Systems for Improving Sustainability in Precision Irrigation

Comparison of different procedures to map reference evapotranspiration using geographical information systems and regression‐based techniques

Hortonian runoff closure relations for geomorphologic response units: evaluation against field data

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