An integrated risk-based water-food-energy nexus assessment framework for surface water operation governance DOI Creative Commons
Fatemeh Bayat, Abbas Roozbahani, Seied Mehdy Hashemy Shahdany

и другие.

Computers and Electronics in Agriculture, Год журнала: 2024, Номер 229, С. 109659 - 109659

Опубликована: Дек. 6, 2024

Язык: Английский

How do fiscal policies, energy consumption and environmental stringency impact energy transition in the G7 economies: Policy implications for the COP28 DOI
Muhammad Farhan Bashir,

Amar Rao,

Arshian Sharif

и другие.

Journal of Cleaner Production, Год журнала: 2023, Номер 434, С. 140367 - 140367

Опубликована: Дек. 28, 2023

Язык: Английский

Процитировано

44

Elevating urban sustainability: An intelligent framework for optimizing water-energy-food nexus synergies in metabolic landscapes DOI
Yanlai Zhou, Fi‐John Chang, Li‐Chiu Chang

и другие.

Applied Energy, Год журнала: 2024, Номер 360, С. 122849 - 122849

Опубликована: Фев. 21, 2024

Язык: Английский

Процитировано

10

Improving efficiency and sustainability of water-agriculture-energy nexus in a transboundary river basin under climate change: A double-sided stochastic factional optimization method DOI Creative Commons
Y.F. Zhang, Yongping Li, Guohe Huang

и другие.

Agricultural Water Management, Год журнала: 2024, Номер 292, С. 108648 - 108648

Опубликована: Янв. 2, 2024

In this study, a double-sided stochastic fractional programming (DSFP) method is developed for identifying optimal water-allocation schemes of water-agriculture-energy nexus (WAEN) system under considering climate change impact. The advantages DSFP are (i) handling complex uncertainty randomness, (ii) addressing conflicting objectives with efficiency, and (iii) achieving trade-off between marginal benefit risk. Then, DSFP-based (DSFP-WAEN) model formulated water resources allocation in transboundary river basin Central Asia, where 48 scenarios designed to examine the impacts change, irrigation risk over long-term planning horizon (2026–2050). Results reveal that: among all agricultural activities, cash crop cultivation shows greatest adaption share increasing 70.7% by 2050 RCP4.5; Kazakhstan, which has largest needs county most sensitive supply risk, should be first constrained case severe shortages poor delivery levels; improvement efficiency can increase inflow Aral Sea 2.7%, reduce loss infield 11.3% even shortage (i.e. p = 0.01). Compared models based on traditional single-objective methods, DSFP-WAEN optimizing water-use reflecting complexity flexible solutions. To coordinate conflicts, strategies from both demand sides related quota management water-saving techniques suggested Syr Darya River basin, such as clean energy transition, drip promotion canal improvement. From perspective, WAEN adapted attitude help address scarcity achieve future sustainability.

Язык: Английский

Процитировано

9

Efficiency assessment and scenario simulation of the water-energy-food system in the Yellow river basin, China DOI
Chenjun Zhang, Xiangyang Zhao, Changfeng Shi

и другие.

Energy, Год журнала: 2024, Номер 305, С. 132279 - 132279

Опубликована: Июль 2, 2024

Язык: Английский

Процитировано

5

Exploring the application and decision optimization of climate-smart agriculture within land-energy-food-waste nexus DOI
Bo Yu, Xuehao Bi, Xueqing Liu

и другие.

Sustainable Production and Consumption, Год журнала: 2024, Номер 50, С. 536 - 555

Опубликована: Сен. 6, 2024

Язык: Английский

Процитировано

4

Exploring the Integration of Industry 4.0 Technologies in Agriculture: A Comprehensive Bibliometric Review DOI Open Access
Benedetta Fasciolo, Luigi Panza, Franco Lombardi

и другие.

Sustainability, Год журнала: 2024, Номер 16(20), С. 8948 - 8948

Опубликована: Окт. 16, 2024

While it is essential to increase agricultural production meet the needs of a growing global population, this task becoming increasingly difficult due environmental challenges faced in recent decades. A promising solution enhance efficiency and sustainability integration Industry 4.0 technologies, such as IoT, UAVs, AI, Blockchain. However, despite their potential, there lack comprehensive bibliometric analyses that cover full range these technologies agriculture. This gap limits understanding impact. study aims provide holistic analysis agriculture, identifying key research trends gaps. We analyzed relevant literature using Scopus database VOSviewer software (version 1.6.20, Centre for Science Technology Studies, Leiden University, The Netherlands)and identified five major thematic clusters within Agriculture 4.0. These were examined understand included roles promoting sustainable practices. also unexplored present opportunities future research. paper offers overview current landscape 4.0, highlighting areas innovation development, serves valuable resource enhancing practices through technological integration.

Язык: Английский

Процитировано

4

Predictive models for photosynthetic active radiation irradiance in temperate climates DOI Creative Commons
Yazan J. K. Musleh,

Tasmiat Rahman

Renewable and Sustainable Energy Reviews, Год журнала: 2024, Номер 200, С. 114599 - 114599

Опубликована: Май 29, 2024

This research evaluated 10 different empirical models designed for predicting Photosynthetically Active Radiation (PAR) at higher latitudes, addressing atmospheric conditions specific to these regions. The introduces the Musleh-Rahman (MR) model, which substitutes Diffuse Horziontal Irradiance (DHI) with Clear Direct Normal (DNI), Ozone and Aerosol Optical Depth 550 nm (AOD550) sourced satellite reanalysis data, achieving a Mean Bias Deviation (MBD) of 0.19 % Root Square Error (RMSE) 12.42 W/m2. Furthermore, when applied six untested locations, results demonstrate that MR model outperformed best performing an MBD improvement 3.68 RMSE 4.28 W/m2, whereas, compared machine learning models, Light Gradient Boost Model (LGBM), had −3.85 %. also maintained consistency across seasonal density evaluations, attaining R2 value as high 0.9709, thereby highlighting significant benefits integrating satellite-sourced data into PAR prediction models. Moreover, illustrated substituting DHI DNI, Ozone, AOD550 not only reduces boosts values but amplifies model's applicability accuracy in capturing early peaks reducing overestimations through precise adjustments levels. highlights incorporating satellite-derived predictions

Язык: Английский

Процитировано

3

The iGains4Gains model guides irrigation water conservation and allocation to enhance nexus gains across water, food, carbon emissions, and nature DOI Creative Commons
Bruce Lankford, Nafn Amdar, Matthew McCartney

и другие.

Deleted Journal, Год журнала: 2025, Номер 2(1), С. 015014 - 015014

Опубликована: Фев. 6, 2025

Abstract This paper introduces and applies iGain4Gains, an Excel-based model, to reveal how changes water conservation allocation, irrigation technology, can produce four nexus gains. These gains are; reduced aggregate consumption, sustained crop production, lower carbon emissions, enhanced availability for nature. We developed the model with limited data hypothetical future scenarios from Amman–Zarqa basin in Jordan. Given its significant urban demands difficult decisions regarding allocation choices, this is a highly appropriate case study. The paper’s primary aim demonstrate iGains4Gains rather than build accurate hydrological of basin’s resources. addresses two critical questions increased efficiency. First, efficiency other factors, such as irrigated area, be applied achieve real savings while maintaining ensuring greenhouse gas emission reductions, ‘freeing’ nature? Second, insight that distributive/allocative act, we ask who between paracommoners (the proprietor system, neighbouring systems, society, nature) benefits hydrologically efficiency? Recognising are not always linear, positive predictable, reveals achieving all simultaneously difficult, likely leading trade-offs consumption rebounds or emissions. Demonstrated by use at workshop Jordan February 2024, used students, scientists decision-makers, explore understand connected management. concludes recommendations governing agriculture basins where large volumes withdrawn depleted irrigation.

Язык: Английский

Процитировано

0

Climate and human activities shaping carbon-water-food interactions: Implications for governance in the Yangtze River Basin and its sub-basins, China DOI

Yulong Li,

Liang Zheng, Hongping Cui

и другие.

Journal of Environmental Management, Год журнала: 2025, Номер 377, С. 124582 - 124582

Опубликована: Фев. 20, 2025

Язык: Английский

Процитировано

0

Synergising agricultural systems: A critical review of the interdependencies within the water-energy-food nexus for sustainable futures DOI Creative Commons
Krishna Mondal, Manojit Chowdhury, Suman Dutta

и другие.

Water-Energy Nexus, Год журнала: 2025, Номер unknown

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0