Groundwater Exploitation in Mega Projects: Egypt’s 1.5 Million Feddan Project

Abdelkhalek, Ahmed; King‐Okumu, Caroline

doi:10.1007/978-3-030-77622-0_14

Cited by 7 publications

(2 citation statements)

References 7 publications

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“…However, robust information derived from remote sensing data processed by advanced computer vision and pattern recognition tools can support risk mitigation measures and propose planning strategies in regions prone to natural hazards. Geomorphic data can also be used to evaluate groundwater supply [120,121] and its availability for irrigation in agriculture [122].…”

Section: Discussionmentioning

confidence: 99%

Recognizing the Wadi Fluvial Structure and Stream Network in the Qena Bend of the Nile River, Egypt, on Landsat 8-9 OLI Images

Lemenkova

Debeir

2023

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With methods for processing remote sensing data becoming widely available, the ability to quantify changes in spatial data and to evaluate the distribution of diverse landforms across target areas in datasets becomes increasingly important. One way to approach this problem is through satellite image processing. In this paper, we primarily focus on the methods of the unsupervised classification of the Landsat OLI/TIRS images covering the region of the Qena governorate in Upper Egypt. The Qena Bend of the Nile River presents a remarkable morphological feature in Upper Egypt, including a dense drainage network of wadi aquifer systems and plateaus largely dissected by numerous valleys of dry rivers. To identify the fluvial structure and stream network of the Wadi Qena region, this study addresses the problem of interpreting the relevant space-borne data using R, with an aim to visualize the land surface structures corresponding to various land cover types. To this effect, high-resolution 2D and 3D topographic and geologic maps were used for the analysis of the geomorphological setting of the Qena region. The information was extracted from the space-borne data for the comparative analysis of the distribution of wadi streams in the Qena Bend area over several years: 2013, 2015, 2016, 2019, 2022, and 2023. Six images were processed using computer vision methods made available by R libraries. The results of the k-means clustering of each scene retrieved from the multi-temporal images covering the Qena Bend of the Nile River were thus compared to visualize changes in landforms caused by the cumulative effects of geomorphological disasters and climate–environmental processes. The proposed method, tied together through the use of R scripts, runs effectively and performs favorably in computer vision tasks aimed at geospatial image processing and the analysis of remote sensing data.

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Section: Discussionmentioning

confidence: 99%

Recognizing the Wadi Fluvial Structure and Stream Network in the Qena Bend of the Nile River, Egypt, on Landsat 8-9 OLI Images

Lemenkova

Debeir

2023

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“…Nowadays in Egypt, farmers have moved to the desert to exploit the enormous regions of unused land, where the utilization of traditional diesel pumps for irrigation purposes is common. This is due to that access to electric networks is limited in these remote areas (Abdelkhalek and King-Okumu, 2021).…”

Section: Introductionmentioning

confidence: 99%

Diesel and Solar Energies Costs Assessment under Drip Irrigation System

Abo-Habaga

Elbanna

Silim

2021

Journal of Soil Sciences and Agricultural Engineering

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Recently, there is an urgent need for clean energy (renewable energy) to replace traditional energy for irrigation purposes, especially in new reclamation lands. There is also an important question about how renewable energy can become cost-competitive. So, the aim of the current investigation is the cost estimation at operation of water pumping system via various technologies i.e., photovoltaic and diesel systems under drip irrigation method. The experiments were done in a private farm located in Wadi El-Natrun desert represented the new reclamation lands in Egypt. The comparison 's findings indicated that the system cost of solar photovoltaic panels was less compared to the cost of the diesel generator system. Also, the water delivery for each kWh under the solar photovoltaic system is higher compared to that one of the diesel generator systems. Generally, it can be noticed that solar photovoltaic panels system possess a higher initial cost as compared to diesel systems. However, the solar photovoltaic panels system possess a lower recurring cost compared with the diesel system during the study period of time. The cost of solar energy/m 3 of extraction water under the solar photovoltaic panels system was about 0.36 LE/m 3 while using the convention diesel energy leads to cost of about 1.79 LE/m 3 . Thus it can be noticed that the cost of utilization of solar energy represented by 20% of usage of diesel energy. Generally, this would encourage farmers to care to utilization of the solar photovoltaic panels system to operate ground wells. Finally, the collected an obtained data recommended using solar energy.

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