Assessment of Irrigation Water Performance in the Nile Delta Using Remotely Sensed Data

Elnmer, Ayat; Khadr, Mosaad; Allam, Ayman; Kanae, Shinjiro; Tawfik, Ahmed

doi:10.3390/w10101375

Cited by 16 publications

(11 citation statements)

References 42 publications

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“…With agricultural water resources around the world experiencing increasing shortages, research that explores how to effectively improve the efficiency of agricultural water use has become essential [1,2]. The apple tree is the main income-generating fruit crop that is grown on the Loess Plateau in China [3].…”

Section: Introductionmentioning

confidence: 99%

Estimating the Root Water Uptake of Surface-Irrigated Apples Using Water Stable Isotopes and the Hydrus-1D Model

Zheng

Sun

et al. 2018

Water

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The future production of irrigated fruit orchards in the Loess Plateau of China is threatened by a shortage of freshwater. To improve water use efficiency under conditions where irrigation is limited, it is necessary to quantify the root water uptake (RWU) of apple trees. The RWU of apple trees was estimated under surface irrigation using water stable isotope technology and the Hydrus-1D model. Using the Romero-Saltos and IsoSource models, the stable isotopes of water in stems, different soil depths, and different precipitation were analyzed in a 5-year-old dwarfing apple orchard during two seasons 2016 and 2017. Hydrus-1D model was able to simulate the RWU of apple using the maximum coefficient of determination (0.9), providing a root mean square error of 0.019 cm 3 cm −3 and a relative error of 2.25%. The results showed that the main depth of RWU ranged from 0-60 cm during the growth season, with the main contribution occurring in the 0-40 cm depth. These findings indicated that reducing the traditional surface irrigation depth will be important for improving the irrigation water use efficiency.

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Section: Introductionmentioning

confidence: 99%

Estimating the Root Water Uptake of Surface-Irrigated Apples Using Water Stable Isotopes and the Hydrus-1D Model

Zheng

Sun

et al. 2018

Water

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“…This study uses the single crop coefficient approach for a crop of soybeans under standard conditions on all simulation scenarios. This approach combines the effects of evaporation and transpiration into one single coefficient, which is used on the determination of crop water requirements for weekly, monthly or longer periods [ 41 , 91 , 93 , 94 ]. The farm manager provided the growth stages used on his farm, which were associated with the crop coefficient (

), obtained by the FAO manual number 4 [ 41 ].…”

Section: Multimethods Approachmentioning

confidence: 99%

Exploring the Adoption of Precision Agriculture for Irrigation in the Context of Agriculture 4.0: The Key Role of Internet of Things

Monteleone

Moraes

Faria

et al. 2020

Sensors

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In recent years, the concept of Agriculture 4.0 has emerged as an evolution of precision agriculture (PA) through the diffusion of the Internet of things (IoT). There is a perception that the PA adoption is occurring at a slower pace than expected. Little research has been carried out about Agriculture 4.0, as well as to farmer behavior and operations management. This work explores what drives the adoption of PA in the Agriculture 4.0 context, focusing on farmer behavior and operations management. As a result of a multimethod approach, the factors explaining the PA adoption in the Agriculture 4.0 context and a model of irrigation operations management are proposed. Six simulation scenarios are performed to study the relationships among the factors involved in irrigation planning. Empirical findings contribute to a better understanding of what Agriculture 4.0 is and to expand the possibilities of IoT in the PA domain. This work also contributes to the discussion on Agriculture 4.0, thanks to multidisciplinary research bringing together the different perspectives of PA, IoT and operations management. Moreover, this research highlights the key role of IoT, considering the farmer’s possible choice to adopt several IoT sensing technologies for data collection.

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“…In practice, these assumptions are unlikely to capture the true heterogeneity in field or farmer level irrigation efficiency. Several studies in our sample estimate crop irrigation requirements using either thermal‐infrared or crop coefficient models and compare these estimates to in situ abstraction data (Abuzar et al, 2017; Campos et al, 2017; Elnmer et al, 2018; Foster et al, 2019; Gonçalves et al, 2020; Ma et al, 2018; Santos et al, 2010; Segovia‐Cardozo et al, 2019; Vuolo et al, 2015; Wu et al, 2015). Universally, these studies show that efficiency—defined here as the ratio of irrigation abstracted or applied to crop irrigation requirements—varies significantly both between fields and over time.…”

Section: Uncertainty In Satellite‐based Water Use Estimatesmentioning

confidence: 99%

Satellite‐Based Monitoring of Irrigation Water Use: Assessing Measurement Errors and Their Implications for Agricultural Water Management Policy

Foster

Mieno

Brozović

2020

Water Resources Research

111

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Reliable accounting of agricultural water use is critical for sustainable water management. However, the majority of agricultural water use is not monitored, with limited metering of irrigation despite increasing pressure on both groundwater and surface water resources in many agricultural regions worldwide. Satellite remote sensing has been proposed as a low-cost and scalable solution to fill widespread gaps in monitoring of irrigation water use in both developed and developing countries, bypassing the technical, socioeconomic, and political challenges that to date have constrained in situ metering. In this paper, we show through a systematic meta-analysis that the relative accuracy of different satellite-based irrigation water use monitoring approaches remains poorly understood, with evidence of large uncertainties when water use estimates are validated against in situ irrigation data at both field and regional scales. Subsequently, we demonstrate that water use measurement errors result in large economic welfare losses for farmers and may negatively impact ability of policies to limit acute and nonlinear externalities of irrigation abstraction on both the environment and other water users. Our findings highlight that water resource planners must consider the trade-offs between accuracy and costs associated with different water use accounting approaches. Remote sensing has an important role to play in supporting improved agricultural water accounting-both independently and in combination with in situ monitoring. However, greater transparency and evidence is needed about underlying uncertainties in satellite-based models, along with how these measurement errors affect the performance of associated policies to manage different short-and long-term externalities of irrigation water use. Despite the importance of monitoring for water management, the overwhelming majority of agricultural water use worldwide-both from groundwater and surface water-remains unmetered (OECD, 2015). For example, a recent report by the Murray-Darling Basin Commission in Australia highlighted that around 30% of the total surface water abstractions were unmetered (MDMA, 2017), with monitoring gaps of up to 75% in some parts of the basin (Grafton, 2019; Hanemann & Young, 2020). Similarly, estimates from the U.S. Department of Agriculture (USDA, 2019) show only 36% of groundwater irrigation wells in the United States are equipped with flow meters (Figure 1), with large monitoring gaps in states such as California and Texas that have experienced severe aquifer depletion over recent decades (Scanlon et al., 2012). In low-income countries, gaps in agricultural water use accounting are even more pronounced, with almost nonexistence

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Assessment of Irrigation Water Performance in the Nile Delta Using Remotely Sensed Data

Cited by 16 publications

References 42 publications

Estimating the Root Water Uptake of Surface-Irrigated Apples Using Water Stable Isotopes and the Hydrus-1D Model

Estimating the Root Water Uptake of Surface-Irrigated Apples Using Water Stable Isotopes and the Hydrus-1D Model

Exploring the Adoption of Precision Agriculture for Irrigation in the Context of Agriculture 4.0: The Key Role of Internet of Things

Satellite‐Based Monitoring of Irrigation Water Use: Assessing Measurement Errors and Their Implications for Agricultural Water Management Policy

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