This blog summarizes research trends based on published paper abstracts. Specific numbers or findings may contain inaccuracies. For scholarly rigor, always consult the original papers cited in each post.
Why It Matters
Consider a seemingly simple decision: irrigating more farmland to increase food production. This requires water (diverting rivers, pumping groundwater) and energy (powering pumps, treating water). If the energy comes from hydropower, it competes with irrigation for the same water. If biofuels are grown to produce energy, they compete with food crops for the same land and water. If climate change reduces rainfall, all three resources are stressed simultaneously.
This is the food-water-energy (FWE) nexusโa system of interdependencies where decisions about any one resource cascade through the others. Traditional resource management treats water, food, and energy as separate sectors, managed by separate ministries with separate budgets and separate metrics. Nexus thinking recognizes that this siloed approach produces optimization within sectors but suboptimization across the system: maximizing food production may deplete water resources that energy production depends on, creating a net loss for the whole economy.
The urgency is intensifying. By 2050, global food demand will increase 50-60%, water demand by 55%, and energy demand by 80%โagainst a backdrop of climate change that disrupts the availability of all three resources simultaneously. The FWE nexus is not an academic abstraction; it is the operational challenge of feeding, watering, and powering a planet of 10 billion people without exceeding planetary boundaries.
The Science
Climate Resilience Through the WEF-E Nexus
Dhar (2025), with 6 citations, synthesizes current approaches to building climate-resilient food systems through the water-energy-food-environment (WEF-E) nexus. The addition of "environment" as a fourth dimension reflects growing recognition that ecosystem services (pollination, soil health, water purification) underpin all three resource sectors.
The review identifies five interconnected strategies: (1) climate-smart agriculture that reduces water and energy intensity per unit of food produced; (2) renewable energy integration that decouples energy production from water-intensive fossil fuels; (3) precision water management using sensors and AI to match irrigation to crop needs; (4) waste-to-resource systems that convert agricultural waste to energy and food waste to compost; and (5) nature-based solutions that leverage ecosystem services rather than replacing them with engineered infrastructure.
A critical finding: most WEF-E interventions produce co-benefits across nexus dimensions, but some create trade-offs that are only visible through nexus analysis. For example, large-scale solar farms reduce energy-sector carbon emissions but may displace agricultural land, affecting food production and altering local water cycles through land-use change.
Multi-Objective Optimization for Policy Scenarios
Ashkevari et al. (2025), with 3 citations, develop an integrated simulation-optimization framework for a real irrigation network in Iran. Using system dynamics modeling coupled with multi-objective genetic algorithms, they evaluate policy scenarios that simultaneously optimize water allocation, food production, and energy use.
The technical approach is significant: rather than optimizing a single objective (e.g., maximize crop yield) subject to constraints on the others (e.g., water limit), they treat all three as simultaneous objectives, generating a Pareto frontier of optimal trade-off solutions. Policymakers can then select the point on the frontier that best matches their priorities.
Key finding: the Pareto frontier reveals that significant efficiency gains are availableโcurrent water-food-energy management in the study region operates far from the efficient frontier. In other words, it is possible to produce more food with less water and less energy by coordinating decisions that are currently made independently. The gap between current practice and the efficient frontier represents the "nexus dividend"โthe value gained from integrated management.
Circular Economy Design for Arid Regions
Mashaal et al. (2025), with 4 citations, present a conceptual design model for integrating the water-energy-food nexus with circular economy principles in an Egyptian desert village. The design closes resource loops: wastewater from food processing irrigates energy crops, biomass from energy crops generates electricity that powers water desalination, and desalinated water supports food production.
This zero-waste circular design is particularly relevant for arid regions where all three resources are scarce. The model demonstrates that circular nexus design can make communities more self-sufficient and resilientโreducing dependence on external water, energy, and food supply chains that are vulnerable to climate disruption, political instability, and economic shocks.
The study also highlights the governance challenge: implementing circular nexus systems requires coordination across water, energy, agriculture, and waste management agenciesโinstitutional silos that resist integration even when the technical case is compelling.
Bibliometric Landscape of Nexus Research
Judijanto (2025) maps the bibliometric landscape of WEF nexus research in arid and semi-arid agricultural systems from 2020 to 2025, analyzing 463 publications from Scopus and Web of Science. The analysis reveals research concentration in a few countries (China, USA, Iran, Egypt) with limited representation from Sub-Saharan Africa and South Asiaโregions where nexus challenges are most acute.
Key thematic clusters include: integrated modeling frameworks, climate change adaptation, groundwater management, solar-powered irrigation, and food security governance. An emerging cluster links the WEF nexus to digital technologiesโIoT sensors, remote sensing, and AI-driven decision support systems that enable real-time nexus management.
Food-Water-Energy Nexus Trade-Off Matrix
<
| Intervention | Food Impact | Water Impact | Energy Impact | Net Assessment |
|---|
| Large-scale irrigation expansion | ++ | -- | - | Trade-off: food vs. water |
| Solar-powered desalination | + | ++ | 0 (renewable) | Win-win-neutral |
| Biofuel crop expansion | - | -- | ++ | Trade-off: energy vs. food/water |
| Precision agriculture + IoT | + | + | - (energy for sensors) | Mostly beneficial |
| Wastewater recycling for irrigation | + | ++ | - (treatment energy) | Mostly beneficial |
| Circular biorefinery (waste โ energy) | 0 | + | ++ | Win-win |
What To Watch
The next phase of FWE nexus research will be driven by digital transformation. Real-time nexus dashboards that integrate satellite data, IoT sensors, and AI models are being piloted in several countriesโenabling dynamic resource allocation that responds to changing conditions (drought, energy price spikes, crop disease outbreaks) rather than following static plans. Watch for the expansion of nexus modeling from regional case studies to national and transboundary scalesโwhere the political complexity of managing shared water basins, cross-border energy grids, and international food trade adds a geopolitical dimension that local models cannot capture. The integration of circular economy principles with nexus thinking, as demonstrated by Mashaal et al., points toward a synthesis that could redefine resource management in resource-scarce regions.
Explore related work through ORAA ResearchBrain.
๋ฉด์ฑ
์กฐํญ: ์ด ๊ฒ์๋ฌผ์ ์ ๋ณด ์ ๊ณต์ ๋ชฉ์ ์ผ๋ก ํ ์ฐ๊ตฌ ๋ํฅ ๊ฐ์์ด๋ค. ํ์ ์ ์๋ฌผ์์ ์ธ์ฉํ๊ธฐ ์ ์ ๊ตฌ์ฒด์ ์ธ ์ฐ๊ตฌ ๊ฒฐ๊ณผ, ํต๊ณ ๋ฐ ์ฃผ์ฅ์ ์๋ณธ ๋
ผ๋ฌธ๊ณผ ๋์กฐํ์ฌ ๊ฒ์ฆํด์ผ ํ๋ค.
์๋-๋ฌผ-์๋์ง ๋ฅ์์ค ๋ชจ๋ธ๋ง: ํตํฉ ์์ ๊ด๋ฆฌ
์ ์ค์ํ๊ฐ
๊ฒ์ผ๋ก๋ ๋จ์ํด ๋ณด์ด๋ ๊ฒฐ์ ์ ๊ณ ๋ คํด ๋ณด์. ์๋ ์์ฐ์ ๋๋ฆฌ๊ธฐ ์ํด ๋ ๋ง์ ๋์ง์ ๊ด๊ฐ๋ฅผ ์ค์ํ๋ ๊ฒ์ด๋ค. ์ด๋ฅผ ์ํด์๋ ๋ฌผ(๊ฐ ์ ์ฉ, ์งํ์ ํํ)๊ณผ ์๋์ง(ํํ ๊ฐ๋, ์์ฒ๋ฆฌ)๊ฐ ํ์ํ๋ค. ์๋์ง๊ฐ ์๋ ฅ ๋ฐ์ ์์ ๋์จ๋ค๋ฉด ๊ด๊ฐ์ ๋์ผํ ๋ฌผ์ ๋๊ณ ๊ฒฝ์ํ๊ฒ ๋๋ค. ์๋์ง๋ฅผ ์์ฐํ๊ธฐ ์ํด ๋ฐ์ด์ค์ฐ๋ฃ ์๋ฌผ์ ์ฌ๋ฐฐํ๋ค๋ฉด, ๋์ผํ ํ ์ง์ ๋ฌผ์ ๋๊ณ ์๋ ์๋ฌผ๊ณผ ๊ฒฝ์ํ๊ฒ ๋๋ค. ๊ธฐํ ๋ณํ๋ก ๊ฐ์ฐ๋์ด ์ค์ด๋ ๋ค๋ฉด, ์ธ ๊ฐ์ง ์์ ๋ชจ๋๊ฐ ๋์์ ์๋ฐ์ ๋ฐ๋๋ค.
์ด๊ฒ์ด ๋ฐ๋ก ์๋-๋ฌผ-์๋์ง(FWE) ๋ฅ์์ค์ด๋ค. ์ด๋ ์ด๋ค ํ๋์ ์์์ ๊ดํ ๊ฒฐ์ ์ด ๋ค๋ฅธ ์์๋ค์ ์ฐ์์ ์ผ๋ก ํ๊ธ๋๋ ์ํธ์์กด์ฑ์ ์ฒด๊ณ์ด๋ค. ์ ํต์ ์ธ ์์ ๊ด๋ฆฌ๋ ๋ฌผ, ์๋, ์๋์ง๋ฅผ ๋ณ๋์ ์์ฐ๊ณผ ๋ณ๋์ ์งํ๋ฅผ ๊ฐ์ง ๋ณ๋์ ๋ถ์ฒ๊ฐ ๊ด๋ฆฌํ๋ ๋ถ๋ฆฌ๋ ๋ถ๋ฌธ์ผ๋ก ์ทจ๊ธํ๋ค. ๋ฅ์์ค์ ์ฌ๊ณ ๋ ์ด๋ฌํ ์นธ๋ง์ด์ ์ ๊ทผ ๋ฐฉ์์ด ๋ถ๋ฌธ ๋ด์์๋ ์ต์ ํ๋ฅผ ์ด๋ฃจ์ง๋ง ์์คํ
์ ๋ฐ์ ๊ฑธ์ณ์๋ ์ค์ต์ ํ๋ฅผ ์ด๋ํ๋ค๋ ์ ์ ์ธ์ํ๋ค. ์ฆ, ์๋ ์์ฐ์ ์ต๋ํํ๋ฉด ์๋์ง ์์ฐ์ด ์์กดํ๋ ์์์์ด ๊ณ ๊ฐ๋์ด ๊ฒฝ์ ์ ์ฒด์ ์์์ค์ด ๋ฐ์ํ ์ ์๋ค.
๊ทธ ๊ธด๋ฐ์ฑ์ ๋์ฑ ์ฌํ๋๊ณ ์๋ค. 2050๋
๊น์ง ์ ์ธ๊ณ ์๋ ์์๋ 50~60%, ๋ฌผ ์์๋ 55%, ์๋์ง ์์๋ 80% ์ฆ๊ฐํ ๊ฒ์ผ๋ก ์์๋๋๋ฐ, ์ด๋ ์ธ ๊ฐ์ง ์์์ ๊ฐ์ฉ์ฑ์ ๋์์ ๊ต๋ํ๋ ๊ธฐํ ๋ณํ๋ฅผ ๋ฐฐ๊ฒฝ์ผ๋ก ํ๋ค. FWE ๋ฅ์์ค๋ ํ๋ฌธ์ ์ถ์ ๊ฐ๋
์ด ์๋๋ผ, ์ง๊ตฌ์ ํ๊ณ๋ฅผ ์ด๊ณผํ์ง ์์ผ๋ฉด์ 100์ต ๋ช
์ ์ธ๋ฅ์๊ฒ ์๋์ ๊ณต๊ธํ๊ณ ๋ฌผ์ ์ ๊ณตํ๋ฉฐ ๋๋ ฅ์ ์ ๊ณตํด์ผ ํ๋ ์ค์ง์ ์ธ ๋์ ๊ณผ์ ์ด๋ค.
๊ณผํ์ ๋ด์ฉ
WEF-E ๋ฅ์์ค๋ฅผ ํตํ ๊ธฐํ ํ๋ณต๋ ฅ
Dhar(2025)๋ 6๊ฑด์ ์ธ์ฉ์ ๋ฐ์ ๋
ผ๋ฌธ์์ ๋ฌผ-์๋์ง-์๋-ํ๊ฒฝ(WEF-E) ๋ฅ์์ค๋ฅผ ํตํด ๊ธฐํ ํ๋ณต๋ ฅ ์๋ ์๋ ์์คํ
์ ๊ตฌ์ถํ๊ธฐ ์ํ ํ์ฌ์ ์ ๊ทผ ๋ฐฉ์์ ์ข
ํฉํ๋ค. "ํ๊ฒฝ"์ ๋ค ๋ฒ์งธ ์ฐจ์์ผ๋ก ์ถ๊ฐํ ๊ฒ์ ์ํ๊ณ ์๋น์ค(์๋ถ ๋งค๊ฐ, ํ ์ ๊ฑด๊ฐ, ์์ง ์ ํ)๊ฐ ์ธ ๊ฐ์ง ์์ ๋ถ๋ฌธ ๋ชจ๋๋ฅผ ๋ท๋ฐ์นจํ๋ค๋ ์ธ์์ด ํ์ฐ๋๊ณ ์์์ ๋ฐ์ํ๋ค.
์ด ๋ฆฌ๋ทฐ๋ ๋ค์ฏ ๊ฐ์ง ์ํธ์ฐ๊ฒฐ๋ ์ ๋ต์ ์ ์ํ๋ค. (1) ์๋ ๋จ์ ์์ฐ๋๋น ๋ฌผ๊ณผ ์๋์ง ์ง์ฝ๋๋ฅผ ๋ฎ์ถ๋ ๊ธฐํ ์ค๋งํธ ๋์
, (2) ์๋์ง ์์ฐ์ ๋ฌผ ์ง์ฝ์ ํ์ ์ฐ๋ฃ๋ก๋ถํฐ ๋ถ๋ฆฌํ๋ ์ฌ์์๋์ง ํตํฉ, (3) ์๋ฌผ ํ์์ ๋ง๊ฒ ๊ด๊ฐ๋ฅผ ์กฐ์ ํ๊ธฐ ์ํด ์ผ์์ AI๋ฅผ ํ์ฉํ๋ ์ ๋ฐ ์ฉ์ ๊ด๋ฆฌ, (4) ๋์
ํ๊ธฐ๋ฌผ์ ์๋์ง๋ก, ์์๋ฌผ ์ฐ๋ ๊ธฐ๋ฅผ ํด๋น๋ก ์ ํํ๋ ํ๊ธฐ๋ฌผ-์์ํ ์์คํ
, (5) ์์ง๋์ด๋ง ์ธํ๋ผ๋ก ๋์ฒดํ๋ ๋์ ์ํ๊ณ ์๋น์ค๋ฅผ ํ์ฉํ๋ ์์ฐ ๊ธฐ๋ฐ ํด๋ฒ์ด๋ค.
ํต์ฌ ๋ฐ๊ฒฌ: ๋๋ถ๋ถ์ WEF-E ๊ฐ์
์ ๋ฅ์์ค ์ฐจ์ ์ ๋ฐ์ ๊ฑธ์ณ ๊ณต๋ ํธ์ต์ ์ฐฝ์ถํ์ง๋ง, ์ผ๋ถ๋ ๋ฅ์์ค ๋ถ์์ ํตํด์๋ง ๊ฐ์ํ๋๋ ํธ๋ ์ด๋์คํ๋ฅผ ์ ๋ฐํ๋ค. ์๋ฅผ ๋ค์ด, ๋๊ท๋ชจ ํ์๊ด ๋ฐ์ ์๋ ์๋์ง ๋ถ๋ฌธ์ ํ์ ๋ฐฐ์ถ๋์ ์ค์ด์ง๋ง, ๋์
์ฉ ํ ์ง๋ฅผ ์ ์ํ์ฌ ์๋ ์์ฐ์ ์ํฅ์ ๋ฏธ์น๊ณ ํ ์ง ์ด์ฉ ๋ณํ๋ฅผ ํตํด ์ง์ญ ๋ฌผ ์ํ์ ๋ณํ์ํฌ ์ ์๋ค.
์ ์ฑ
์๋๋ฆฌ์ค๋ฅผ ์ํ ๋ค๋ชฉ์ ์ต์ ํ
Ashkevari ๋ฑ(2025)์ 3๊ฑด์ ์ธ์ฉ์ ๋ฐ์ ๋
ผ๋ฌธ์์ ์ด๋์ ์ค์ ๊ด๊ฐ ๋คํธ์ํฌ๋ฅผ ๋์์ผ๋ก ํตํฉ ์๋ฎฌ๋ ์ด์
-์ต์ ํ ํ๋ ์์ํฌ๋ฅผ ๊ฐ๋ฐํ๋ค. ๋ค๋ชฉ์ ์ ์ ์๊ณ ๋ฆฌ์ฆ๊ณผ ๊ฒฐํฉ๋ ์์คํ
๋ค์ด๋ด๋ฏน์ค ๋ชจ๋ธ๋ง์ ํ์ฉํ์ฌ ๋ฌผ ๋ฐฐ๋ถ, ์๋ ์์ฐ, ์๋์ง ์ฌ์ฉ์ ๋์์ ์ต์ ํํ๋ ์ ์ฑ
์๋๋ฆฌ์ค๋ฅผ ํ๊ฐํ๋ค.
๊ธฐ์ ์ ์ ๊ทผ ๋ฐฉ์์ด ์ฃผ๋ชฉํ ๋งํ๋ค. ๋ค๋ฅธ ๋ชฉํ๋ค(์: ๋ฌผ ํ๊ณ)์ ๋ํ ์ ์ฝ ์กฐ๊ฑด ์๋ ๋จ์ผ ๋ชฉํ(์: ์๋ฌผ ์ํ๋ ์ต๋ํ)๋ฅผ ์ต์ ํํ๋ ๋์ , ์ธ ๊ฐ์ง ๋ชจ๋๋ฅผ ๋์์ ๋ชฉํ๋ก ์ทจ๊ธํ์ฌ ์ต์ ํธ๋ ์ด๋์คํ ํด์ ํ๋ ํ ํ๋ก ํฐ์ด๋ฅผ ์์ฑํ๋ค. ์ดํ ์ ์ฑ
์
์์๋ค์ ์์ ๋ค์ ์ฐ์ ์์์ ๊ฐ์ฅ ์ ๋ถํฉํ๋ ํ๋ก ํฐ์ด ์์ ์ง์ ์ ์ ํํ ์ ์๋ค.
ํต์ฌ ๋ฐ๊ฒฌ: ํ๋ ํ ํ๋ฐํฐ์ด(Pareto frontier)๋ ์๋นํ ํจ์จ์ฑ ํฅ์์ด ๊ฐ๋ฅํจ์ ๋ณด์ฌ์ค๋คโ์ฐ๊ตฌ ๋์ ์ง์ญ์ ํํ ๋ฌผ-์๋-์๋์ง ๊ด๋ฆฌ๋ ํจ์จ์ ํ๋ฐํฐ์ด์์ ํฌ๊ฒ ๋ฒ์ด๋ ์๋ค. ๋ค์ ๋งํด, ํ์ฌ ๋
๋ฆฝ์ ์ผ๋ก ๋ด๋ ค์ง๋ ๊ฒฐ์ ๋ค์ ์กฐ์จํจ์ผ๋ก์จ ๋ ์ ์ ๋ฌผ๊ณผ ์๋์ง๋ก ๋ ๋ง์ ์๋์ ์์ฐํ๋ ๊ฒ์ด ๊ฐ๋ฅํ๋ค. ํํ ๊ดํ๊ณผ ํจ์จ์ ํ๋ฐํฐ์ด ์ฌ์ด์ ๊ฒฉ์ฐจ๋ "๋ฅ์์ค ๋ฐฐ๋น(nexus dividend)"โํตํฉ ๊ด๋ฆฌ๋ฅผ ํตํด ์ป๋ ๊ฐ์นโ๋ฅผ ๋ํ๋ธ๋ค.
๊ฑด์กฐ ์ง์ญ์ ์ํ ์ํ๊ฒฝ์ ์ค๊ณ
Mashaal et al. (2025)์ 4ํ ์ธ์ฉ์ผ๋ก, ์ด์งํธ ์ฌ๋ง ๋ง์์์ ๋ฌผ-์๋์ง-์๋ ๋ฅ์์ค(WEF nexus)์ ์ํ๊ฒฝ์ ์์น์ ํตํฉํ๋ ๊ฐ๋
์ ์ค๊ณ ๋ชจ๋ธ์ ์ ์ํ๋ค. ์ด ์ค๊ณ๋ ์์ ์ํ ๊ณ ๋ฆฌ๋ฅผ ์์ฑํ๋ค: ์ํ ๊ฐ๊ณต์์ ๋ฐ์ํ ํ์๊ฐ ์๋์ง ์๋ฌผ์ ๊ด๊ฐ๋๊ณ , ์๋์ง ์๋ฌผ์ ๋ฐ์ด์ค๋งค์ค(biomass)๋ ํด์ ๋ด์ํ๋ฅผ ๊ฐ๋ํ๋ ์ ๋ ฅ์ ์์ฐํ๋ฉฐ, ๋ด์ํ๋ ๋ฌผ์ ์๋ ์์ฐ์ ๋ท๋ฐ์นจํ๋ค.
์ด ๋ฌดํ๊ธฐ๋ฌผ ์ํ ์ค๊ณ๋ ์ธ ๊ฐ์ง ์์์ด ๋ชจ๋ ๋ถ์กฑํ ๊ฑด์กฐ ์ง์ญ์ ํนํ ์ ํฉํ๋ค. ์ด ๋ชจ๋ธ์ ์ํ ๋ฅ์์ค ์ค๊ณ๊ฐ ์ง์ญ์ฌํ๋ฅผ ๋์ฑ ์๊ธ์์กฑ์ ์ด๊ณ ํ๋ณต๋ ฅ ์๊ฒ ๋ง๋ค ์ ์์์ ๋ณด์ฌ์ค๋คโ๊ธฐํ ๊ต๋, ์ ์น์ ๋ถ์์ , ๊ฒฝ์ ์ ์ถฉ๊ฒฉ์ ์ทจ์ฝํ ์ธ๋ถ ๋ฌผยท์๋์งยท์๋ ๊ณต๊ธ๋ง์ ๋ํ ์์กด๋๋ฅผ ์ค์์ผ๋ก์จ ๊ทธ๋ฌํ๋ค.
์ด ์ฐ๊ตฌ๋ ๋ํ ๊ฑฐ๋ฒ๋์ค ๊ณผ์ ๋ฅผ ๊ฐ์กฐํ๋ค: ์ํ ๋ฅ์์ค ์์คํ
์ ๊ตฌํํ๋ ค๋ฉด ๋ฌผ, ์๋์ง, ๋์
, ํ๊ธฐ๋ฌผ ๊ด๋ฆฌ ๊ธฐ๊ด ๊ฐ์ ์กฐ์จ์ด ํ์ํ๋ฐ, ์ด๋ฌํ ๊ธฐ๊ด๋ค์ ๊ธฐ์ ์ ํ๋น์ฑ์ด ๋ช
ํํ ๊ฒฝ์ฐ์๋ ํตํฉ์ ์ ํญํ๋ ์ ๋์ ์ฌ์ผ๋ก(institutional silo)๋ฅผ ํ์ฑํ๊ณ ์๋ค.
๋ฅ์์ค ์ฐ๊ตฌ์ ๊ณ๋์์งํ์ ํํฉ
Judijanto (2025)๋ 2020๋
๋ถํฐ 2025๋
๊น์ง ๊ฑด์กฐ ๋ฐ ๋ฐ๊ฑด์กฐ ๋์
์์คํ
์์์ WEF ๋ฅ์์ค ์ฐ๊ตฌ์ ๋ํ ๊ณ๋์์งํ์ (bibliometric) ํํฉ์ ๋ถ์ํ๋ฉฐ, Scopus์ Web of Science์์ 463ํธ์ ๋
ผ๋ฌธ์ ๊ฒํ ํ๋ค. ๋ถ์ ๊ฒฐ๊ณผ, ์ฐ๊ตฌ๊ฐ ์์ ๊ตญ๊ฐ(์ค๊ตญ, ๋ฏธ๊ตญ, ์ด๋, ์ด์งํธ)์ ์ง์ค๋์ด ์์ผ๋ฉฐ, ๋ฅ์์ค ๋ฌธ์ ๊ฐ ๊ฐ์ฅ ์ฌ๊ฐํ ์ฌํ๋ผ ์ด๋จ ์ํ๋ฆฌ์นด(Sub-Saharan Africa)์ ๋จ์์์(South Asia)์์์ ์ฐ๊ตฌ๋ ์๋์ ์ผ๋ก ๋ถ์กฑํ ๊ฒ์ผ๋ก ๋ํ๋ฌ๋ค.
์ฃผ์ ์ฃผ์ ํด๋ฌ์คํฐ(thematic cluster)๋ก๋ ํตํฉ ๋ชจ๋ธ๋ง ํ๋ ์์ํฌ, ๊ธฐํ๋ณํ ์ ์, ์งํ์ ๊ด๋ฆฌ, ํ์๊ด ๊ด๊ฐ, ์๋ ์๋ณด ๊ฑฐ๋ฒ๋์ค๊ฐ ํฌํจ๋๋ค. ์๋กญ๊ฒ ๋ถ์ํ๋ ํด๋ฌ์คํฐ๋ WEF ๋ฅ์์ค๋ฅผ ๋์งํธ ๊ธฐ์ โ์ค์๊ฐ ๋ฅ์์ค ๊ด๋ฆฌ๋ฅผ ๊ฐ๋ฅํ๊ฒ ํ๋ IoT ์ผ์, ์๊ฒฉ ํ์ฌ(remote sensing), AI ๊ธฐ๋ฐ ์์ฌ๊ฒฐ์ ์ง์ ์์คํ
โ๊ณผ ์ฐ๊ฒฐํ๋ค.
์๋-๋ฌผ-์๋์ง ๋ฅ์์ค ํธ๋ ์ด๋์คํ ๋งคํธ๋ฆญ์ค
<
| ๊ฐ์
๋ฐฉ์ | ์๋ ์ํฅ | ๋ฌผ ์ํฅ | ์๋์ง ์ํฅ | ์ข
ํฉ ํ๊ฐ |
|---|
| ๋๊ท๋ชจ ๊ด๊ฐ ํ๋ | ++ | -- | - | ํธ๋ ์ด๋์คํ: ์๋ ๋ ๋ฌผ |
| ํ์๊ด ํด์ ๋ด์ํ | + | ++ | 0 (์ฌ์์๋์ง) | ์-์-์ค๋ฆฝ |
| ๋ฐ์ด์ค์ฐ๋ฃ ์๋ฌผ ํ๋ | - | -- | ++ | ํธ๋ ์ด๋์คํ: ์๋์ง ๋ ์๋/๋ฌผ |
| ์ ๋ฐ๋์
+ IoT | + | + | - (์ผ์ ์๋์ง ์๋น) | ๋์ฒด๋ก ์ ์ต |
| ๊ด๊ฐ์ฉ ํ์ ์ฌํ์ฉ | + | ++ | - (์ฒ๋ฆฌ ์๋์ง) | ๋์ฒด๋ก ์ ์ต |
| ์ํ ๋ฐ์ด์ค๋ฆฌํ์ด๋๋ฆฌ(ํ๊ธฐ๋ฌผ โ ์๋์ง) | 0 | + | ++ | ์-์ |
์ฃผ๋ชฉํ ๋ํฅ
FWE ๋ฅ์์ค ์ฐ๊ตฌ์ ๋ค์ ๋จ๊ณ๋ ๋์งํธ ์ ํ์ ์ํด ์ฃผ๋๋ ๊ฒ์ด๋ค. ์์ฑ ๋ฐ์ดํฐ, IoT ์ผ์, AI ๋ชจ๋ธ์ ํตํฉํ๋ ์ค์๊ฐ ๋ฅ์์ค ๋์๋ณด๋๊ฐ ์ฌ๋ฌ ๊ตญ๊ฐ์์ ์๋ฒ ์ด์๋๊ณ ์์ผ๋ฉฐโ์ด๋ฅผ ํตํด ์ ์ ๊ณํ์ ๋ฐ๋ฅด๊ธฐ๋ณด๋ค ๋ณํํ๋ ์กฐ๊ฑด(๊ฐ๋ญ, ์๋์ง ๊ฐ๊ฒฉ ๊ธ๋ฑ, ์๋ฌผ ์ง๋ณ ๋ฐ์)์ ๋์ํ๋ ๋์ ์์ ๋ฐฐ๋ถ์ด ๊ฐ๋ฅํด์ง๊ณ ์๋ค. ๋ฅ์์ค ๋ชจ๋ธ๋ง์ด ์ง์ญ ์ฌ๋ก ์ฐ๊ตฌ์์ ๊ตญ๊ฐ ๋ฐ ์ด๊ตญ๊ฒฝ ๊ท๋ชจ๋ก ํ์ฅ๋๋ ๊ฒ์ ์ฃผ๋ชฉํ ํ์๊ฐ ์๋คโ์ด ๋จ๊ณ์์๋ ๊ณต์ ์๊ณ ๊ด๋ฆฌ, ๊ตญ๊ฒฝ ๊ฐ ์๋์ง ๊ทธ๋ฆฌ๋, ๊ตญ์ ์๋ ๊ต์ญ์ ์ ์น์ ๋ณต์ก์ฑ์ด ์ง์ญ ๋ชจ๋ธ๋ก๋ ํฌ์ฐฉํ ์ ์๋ ์ง์ ํ์ ์ฐจ์์ ๋ํ๊ฒ ๋๋ค. Mashaal et al.์ด ๋ณด์ฌ์ฃผ๋ฏ, ์ํ๊ฒฝ์ ์์น๊ณผ ๋ฅ์์ค ์ฌ๊ณ ์ ํตํฉ์ ์์ ๋ถ์กฑ ์ง์ญ์ ์์ ๊ด๋ฆฌ๋ฅผ ์ฌ์ ์ํ ์ ์๋ ์ข
ํฉ์ ์ ๊ทผ๋ฒ์ ํฅํด ๋์๊ฐ๊ณ ์๋ค.
๊ด๋ จ ์ฐ๊ตฌ๋ ORAA ResearchBrain์ ํตํด ํ์ํ ์ ์๋ค.
References (5)
[1] Dhar, A.R. (2025). Building Climate-Resilient Food Systems Through the WEF-E Nexus. Environments, 12(5), 167.
[2] Ashkevari, S., Janatrostami, S., & Ashrafzadeh, A. (2025). Evaluation of planning policy scenarios for the water-food and energy nexus through multi-objective optimization. Scientific Reports, 15.
[3] Mashaal, N.M., Abdelzaher, M., & Awad, M. (2025). Towards sustainability and circular economy: WEF nexus conceptual design for Ferdaws Village, Egypt. Innovative Infrastructure Solutions, 10.
[4] Judijanto, L. (2025). Water-Energy-Food Nexus in Arid Regions: A Bibliometric Review. West Science Information System and Technology, 3(10).
Mashaal, N. M., Abdelzaher, M. A., Awad, M. M., Elwakeel, K. Z., & Hassan, A. A. (2025). Towards sustainability and circular economy: conceptual design model for the water-energy-food nexus in Ferdaws Village, Western Desert, Egypt. Innovative Infrastructure Solutions, 10(6).