Bridging Qatar's food demand and self-sufficiency: A system dynamics simulation of the energy–water–food nexus

Sustainable Production and Consumption, Journal Year: 2024, Volume and Issue: 46, P. 382 - 399

Published: Feb. 16, 2024

The food sector in Qatar is confronted with formidable challenges due to its harsh environmental conditions. Striving for total self-sufficiency such an environment would inevitably exert pressure on the energy and water sectors. This heightened demand translates into increased costs escalates impacts. Consequently, this study embarks in-depth analysis of production within context Qatar's energy-water-food nexus, aiming demonstrate how varying degrees may impact sectors, as well greenhouse gas (GHG) emissions. Moreover, demonstrates what extent specific subsystems nexus can be modified enhance sustainability. An meticulously crafted proposed framework elucidate intricate interdependencies among these incorporating pertinent external variables. These interconnections are then transmuted a system dynamics model (SDM), facilitating nuanced exploration potential transformations their ripple effects. Furthermore, life-cycle thinking approach explicitly tailored was implemented estimate GHG emissions accurately. Four distinct scenarios rigorously examined using SDM, spanning from status quo perspective ambitious transitions toward full self-sufficiency. findings indicate that scenario 4, which partially provides country demands locally desalinated water, treated wastewater, groundwater satisfies 20 % solar energy, most ideal annual 5.36 × 1010 kWh/year consumption, 1.73 1012 l/year demand, 3.26 kg CO2 eq./year outcomes underscore imperative prioritizing less energy-intensive resources mitigate overall consumption. Additionally, achieving optimal national necessitates judicious equilibrium between imports domestic production.

Language: Английский

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Revealing the heterogeneity of socio-economic impacts on resource-environmental pressure: A novel three-dimensional framework applied to the Yellow River Basin

Ecological Indicators, Journal Year: 2024, Volume and Issue: 166, P. 112419 - 112419

Published: July 28, 2024

Language: Английский

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Responses of vegetation cover to hydro-climatic variations in Bosten Lake Watershed, NW China

Frontiers in Plant Science, Journal Year: 2024, Volume and Issue: 15

Published: April 16, 2024

Amidst the backdrop of global climate change, it is imperative to comprehend intricate connections among surface water, vegetation, and climatic shifts within watersheds, especially in fragile, arid ecosystems. However, these relationships across various timescales remain unclear. We employed Ensemble Empirical Mode Decomposition (EEMD) method analyze multifaceted dynamics water vegetation Bosten Lake Watershed multiple temporal scales. This analysis has shed light on how elements interact with revealing significant insights. From March October, approximately 14.9–16.8% areas permanent were susceptible receding drying up. Both annual monthly values Lake’s level area exhibited a trend initial decline followed by an increase, reaching their lowest point 2013 (1,045.0 m 906.6 km2, respectively). Approximately 7.7% vegetated showed increase Normalized Difference Vegetation Index (NDVI). NDVI volatility was observed 23.4% areas, primarily concentrated southern part study near Bosten. Regarding components (6 < T 24 months), temperature, 3-month cumulative NDVI, 3-month-leading precipitation strongest correlation changes area. For interannual (T≥ precipitation, temperature displayed most robust alterations In both components, had negative impact area, while exerted positive effects. Through comparative analysis, this reveals importance periodicity developing adaptive strategies for achieving Sustainable Development Goals dryland watersheds. introduces methodology dissecting trends scale lake links variations different The inherent correlations uncovered research can serve as valuable guidance future investigations into regions.

Language: Английский

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Analysis of Interactions and Driving Factors in Subsystems of Regional Water Resource Carrying Capacity: A Case Study of Ningxia Hui Autonomous Region

Water, Journal Year: 2025, Volume and Issue: 17(6), P. 792 - 792

Published: March 10, 2025

The sustainable utilization of water resources plays a crucial strategic role in regional economic development. carrying capacity (WRCC) is multifaceted system influenced by diverse factors, where the interplay among resources, societal conditions, and ecological elements collectively determines overall WRCC. Combining relevant research results, this paper utilized an improved TOPSIS (Technique for Order Preference Similarity to Ideal Solution) GRA (grey relational analysis)-based WRCC evaluation model, introduced panel vector autoregressive (PVAR) model analyze effects interactions subsystems, applied geographically temporally weighted regression (GTWR) driving analysis Using Ningxia Hui Autonomous Region as case study, discusses internal dynamic relationships mechanisms system. It also provides new perspective discussing water-scarce areas novel approaches optimizing resource management enhancing protection. results indicate that subsystem central Ningxia, with significant interconnections four subsystems. However, spatial temporal heterogeneity evident across different regions. contributes significantly, development having positive impact on resources. social has restrictive

Language: Английский

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Synergising agricultural systems: A critical review of the interdependencies within the water-energy-food nexus for sustainable futures

Water-Energy Nexus, Journal Year: 2025, Volume and Issue: unknown

Published: April 1, 2025

Language: Английский

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Analysis of coupling coordination structural characteristics of water-energy-food-ecosystems based on SNA model: A case study in the nine provinces along the Yellow River, China

Physics and Chemistry of the Earth Parts A/B/C, Journal Year: 2024, Volume and Issue: 135, P. 103654 - 103654

Published: June 5, 2024

Language: Английский

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A novel assessment framework for analyzing the sustainability of water-energy-food nexus system from a pressure-support perspective

Energy Conversion and Management, Journal Year: 2025, Volume and Issue: 332, P. 119715 - 119715

Published: March 9, 2025

Language: Английский

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Simulation of regional green development policies under the nexus of water-energy-food-ecology: A case study of the Yangtze River economic Belt

Ecological Indicators, Journal Year: 2025, Volume and Issue: 173, P. 113364 - 113364

Published: March 18, 2025

Language: Английский

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Exploring the food-energy-water nexus in China's national industries: Insights from network structure and production disturbances

Sustainable Production and Consumption, Journal Year: 2023, Volume and Issue: 43, P. 377 - 388

Published: Dec. 1, 2023

Language: Английский

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Water–Energy–Food Nexus in the Yellow River Basin of China under the Influence of Multiple Policies

Land, Journal Year: 2024, Volume and Issue: 13(9), P. 1356 - 1356

Published: Aug. 25, 2024

The water–energy–food (WEF) nexus constitutes a pivotal aspect of regional ecological protection and high-quality development. exertion multiple WEF-related policies would engender both synergies trade-offs within the WEF nexus. However, quantified framework that integrates impact with conventional assessments simulations is currently lacking. This study in Yellow River basin (YRB) China under influence policies, calculated current future scores different policy combination scenarios using improved entropy weight method, auto-regressive integrated moving average (ARIMA) model, linear optimization method. results revealed following: (1) From 2000 to 2020, overall subsystem were substantially increased spatial heterogeneity. (2) Scenario analysis indicated implementation generally accelerate score improvements each city, yet embracing all simultaneously was not optimal for city. (3) heterogeneity impacts also found YRB, higher upper reaches cities, middle lower cities. To attain development related policies’ should consider disparities enhance resource allocation across regions.

Language: Английский

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