Sustainable Development Goals (SDGs) Associated with Groundwater Over-Exploitation Vulnerability: Geographic Information System-Based Multi-criteria Decision Analysis

Saqr, Ahmed; Ibrahim, Mona G.; Fujii, Manabu; Nasr, Mahmoud

doi:10.1007/s11053-021-09945-y

Cited by 37 publications

(5 citation statements)

References 35 publications

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“…This initial step involves a detailed analysis of both academic research and expert insights to develop a comprehensive list of factors and constraints that shape the decision-making process. This list is formulated based on a thorough review of scholarly works and consultations with field experts (Aminu, 2007;Govindan et al, 2016;Saqr et al, 2021;Tiwari et al, 2024), ensuring the criteria are grounded in both theory and practical application.…”

Section: Establishing Selection Criteriamentioning

confidence: 99%

Geospatial modeling of optimal zones for sustainable urbanization in southwestern NEOM, Saudi Arabia using geomatics techniques

Alogayell,

Kamal,

Alkadi

et al. 2024

Front. Built Environ.

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Our study meticulously pursued its objectives through a strategic data-gathering approach and a thorough analytical evaluation. In the data collection phase, we undertook an exhaustive accumulation of geographical and environmental information, utilizing high-resolution satellite images and diverse thematic maps. We employed GIS-based models and the Analytical Hierarchy Process (AHP) to effectively determine the most suitable areas for urban development. These models pinpointed zones along the coastal areas and nearby plains, spanning 198.89 square kilometers or 8.25% of the total study area, as highly appropriate for development due to their potential for desalination and tourism, and proximity to vital infrastructure such as the forthcoming NEOM airport and high-speed railway connections. The findings from the Southwestern NEOM model corroborate with NEOM’s strategic goals, especially validating the chosen location for The Line. This location is considered ideal due to its accessibility, terrain suitability, and capability to incorporate renewable energy and sustainable water management, thereby supporting the strategic aims and placement of the initiative. This not only highlights the strategic positioning of these areas but also aligns with the Saudi Vision 2030, fostering economic diversification and sustainable development. Together, these actions have established a comprehensive framework for urban planning that respects environmental conservation and promotes sustainable development objectives. By incorporating socio-economic and cultural factors, our research offers a well-rounded approach to urban development, ensuring that new infrastructure is both environmentally considerate and strategically situated to promote enduring growth and community wellbeing in Southwestern NEOM.

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Section: Establishing Selection Criteriamentioning

confidence: 99%

Geospatial modeling of optimal zones for sustainable urbanization in southwestern NEOM, Saudi Arabia using geomatics techniques

Alogayell,

Kamal,

Alkadi

et al. 2024

Front. Built Environ.

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“…The principle of this method is simple and intuitive, but its applicability is poor. For relatively simple problems, the inverse analysis method can be used to solve it 11 .…”

Section: Displacement Inverse Analysismentioning

confidence: 99%

Back analysis of displacement of deep foundation pit based on genetic algorithm

Li¹

2023

International Conference on Computer Application and Information Security (ICCAIS 2022)

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At present, the deformation prediction during the construction of foundation pit is still in the exploratory stage. The more common prediction methods are to calculate the deformation based on numerical simulation software, or to find the law between the excavation conditions and the deformation according to the field measured data and use it for prediction of subsequent operating conditions. The deformation calculation accuracy of the numerical simulation software depends on the value of the model parameters, but the geotechnical parameters themselves are difficult to determine, the excavation process of the foundation pit is more complicated, and the excavation process of deep foundation pits is more complicated.The difficulty in determining the parameters can be efficiently overcome by doing an inverse analysis of the rock and soil characteristics based on field monitoring data (deformation, stress, etc.).According to the parameters obtained from the inverse analysis, the subsequent working conditions are simulated and calculated, and the deformation and stress of the foundation pit in the subsequent working conditions can be predicted.When comparing the excavation displacement inversion curve to the actual deformation curve of the soil layer parameters after inversion, the change trend of the two is essentially the same, and the relative error of the inversion is small. This paper uses the genetic algorithm to perform the inverse analysis of the engineering monitoring displacement. Experiments have proved the effectiveness of genetic algorithm prediction.

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“…It is also a useful tool for monitoring and achieving the 17 Sustainable Development Goals (SDGs) related to economic development, poverty eradication, and environmental protection [44,52]. It is noted that our study has applied the water accounting framework but not in detail involving socio-economic achievements from SDGs such as previous studies [53,54].…”

Section: Water Accounting Frameworkmentioning

confidence: 99%

Assessing Climate-Driven Salinity Intrusion through Water Accounting: A Case Study in Ben Tre Province for More Sustainable Water Management Plans

et al. 2023

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This scientific paper delves into sustainable water management strategies for Ben Tre Province of the Vietnamese Mekong Delta (VMD) in light of water-infrastructure plans that have been impacted by climate change-induced salinity intrusion. Specifically, we aim to mitigate the effects of salinity intrusion for the province while promoting long-term environmental sustainability. In doing so, a water accounting framework was applied, mostly based on the MIKE11 hydrodynamic modeling and water balance calculations, to determine current and future water stress issues based on two main scenarios of extreme drought year 2016 (baseline) and the future year 2030 under climate change for a medium-low emission scenario (RCP4.5). The study found that salinity intrusion significantly causes severe water stress in the future year 2030 compared to the baseline year 2016, while the existing water management methods are relatively inadequate to control salinity intrusion, leading to over 57% of the area affected by medium to critical water stress levels, although it will go along with planned water infrastructures. Additionally, a system of triple rice cropping converted two rice cropping and upland cropping with 40% water demand cutoff was found to be the most suitable measure for 2030. Particularly, water-saving and water demand reduction should be incorporated into infrastructural planning for sustainable water management. Our study provides valuable insights for policymakers and stakeholders, not only for the province and the VMD, but also other regions facing similar challenges.

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Sustainable Development Goals (SDGs) Associated with Groundwater Over-Exploitation Vulnerability: Geographic Information System-Based Multi-criteria Decision Analysis

Cited by 37 publications

References 35 publications

Geospatial modeling of optimal zones for sustainable urbanization in southwestern NEOM, Saudi Arabia using geomatics techniques

Geospatial modeling of optimal zones for sustainable urbanization in southwestern NEOM, Saudi Arabia using geomatics techniques

Back analysis of displacement of deep foundation pit based on genetic algorithm

Assessing Climate-Driven Salinity Intrusion through Water Accounting: A Case Study in Ben Tre Province for More Sustainable Water Management Plans

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