FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4385202350> ?p ?o ?g. }

• W4385202350 endingPage "11428" @default.
• W4385202350 startingPage "11428" @default.
• W4385202350 abstract "Water, Energy and Food (WEF) are coordinated and constrained by each other, constituting a multivariate coupled feed-forward dynamical system. Traditional modeling and simulation methods struggle to model and simulate complex interactions in the WEF nexus. Therefore, we proposed and developed an agent-based model, which is one of the most effective tools for simulating complex systems. It also has unique advantages in simulating WEF allocation, which is very helpful in improving regional WEF use efficiency. By taking Ningdong Energy and Chemical Base as the research area, an agent-based water–energy–food model based on MESA library was developed using Python 3.9 language, which includes six types of agents and can explore and simulate the complex dynamic interactions in the supply and demand process of WEF sectors. Different behavior rules were proposed to quantify the interactions between WEF sectors of Ningdong Energy and Chemical Base. Four different scenarios were set up, namely, the baseline scenario, the water conservation scenario, the new reservoir scenario and the integrated scenario, and the uncertain system evolution processes between departments and resources under the four different scenarios were analyzed in detail to quantitatively analyze the evolution of the water–energy–food complex system of Ningdong Energy and Chemical Base, which has proven the effectiveness of the proposed model. The results show that: water allocation, energy consumption and food consumption in the domestic sector have similar degrees of impact, because the natural population growth rate does not change under different scenarios; water allocation in the food sector shows a trend corresponding to changes in crop yields; water allocation in the energy management sector shows an upward trend, the water allocation in the actual years 2016–2020 is almost the same, and in the forecast years 2021–2025, the baseline scenario and the water conservation scenario can’t meet the demand volume of the energy management sector due to limited water sources, so the total allocated water is lower than that in the increased reservoir and comprehensive scenario; the water allocated to ecological sector has a balanced situation, and the annual growth of the ecological greening coverage area is also balanced; the total water allocation also shows a trend of annual growth; regarding the annual energy volume that can be delivered to the area outside the base, the curve first grows sharply with a growth rate of about 19.85%, and then becomes slowly with a growth rate of about 3.53%. The total volume is expected to increase to 4.96 × 107 tce by 2025; the total energy, consumed energy and output energy, in general, shows a growing trend, and with the development of the economy and technology, the total energy of the base will reach 7.96 × 107 tce by 2025." @default.
• W4385202350 created "2023-07-25" @default.
• W4385202350 creator A5010991595 @default.
• W4385202350 creator A5027245294 @default.
• W4385202350 creator A5043635981 @default.
• W4385202350 creator A5056347218 @default.
• W4385202350 date "2023-07-23" @default.
• W4385202350 modified "2023-10-14" @default.
• W4385202350 title "Agent-Based Modeling for Water–Energy–Food Nexus and Its Application in Ningdong Energy and Chemical Base" @default.
• W4385202350 cites W1018816146 @default.
• W4385202350 cites W1730771398 @default.
• W4385202350 cites W1960510011 @default.
• W4385202350 cites W1975218604 @default.
• W4385202350 cites W2021441514 @default.
• W4385202350 cites W2041981446 @default.
• W4385202350 cites W2079747486 @default.
• W4385202350 cites W2087054423 @default.
• W4385202350 cites W2091345116 @default.
• W4385202350 cites W2140862057 @default.
• W4385202350 cites W2150704630 @default.
• W4385202350 cites W2163055135 @default.
• W4385202350 cites W2314959864 @default.
• W4385202350 cites W2394858910 @default.
• W4385202350 cites W2587770662 @default.
• W4385202350 cites W2778372366 @default.
• W4385202350 cites W2784217825 @default.
• W4385202350 cites W2789465850 @default.
• W4385202350 cites W2955756207 @default.
• W4385202350 cites W3092482696 @default.
• W4385202350 cites W3097665034 @default.
• W4385202350 cites W3111648487 @default.
• W4385202350 cites W3156019499 @default.
• W4385202350 cites W4224142864 @default.
• W4385202350 cites W4298340378 @default.
• W4385202350 cites W4306909756 @default.
• W4385202350 cites W2888617144 @default.
• W4385202350 doi "https://doi.org/10.3390/su151411428" @default.
• W4385202350 hasPublicationYear "2023" @default.
• W4385202350 type Work @default.
• W4385202350 citedByCount "0" @default.
• W4385202350 crossrefType "journal-article" @default.
• W4385202350 hasAuthorship W4385202350A5010991595 @default.
• W4385202350 hasAuthorship W4385202350A5027245294 @default.
• W4385202350 hasAuthorship W4385202350A5043635981 @default.
• W4385202350 hasAuthorship W4385202350A5056347218 @default.
• W4385202350 hasBestOaLocation W43852023501 @default.
• W4385202350 hasConcept C10138342 @default.
• W4385202350 hasConcept C119599485 @default.
• W4385202350 hasConcept C127413603 @default.
• W4385202350 hasConcept C134560507 @default.
• W4385202350 hasConcept C144024400 @default.
• W4385202350 hasConcept C144133560 @default.
• W4385202350 hasConcept C148609458 @default.
• W4385202350 hasConcept C149635348 @default.
• W4385202350 hasConcept C149923435 @default.
• W4385202350 hasConcept C162324750 @default.
• W4385202350 hasConcept C18785705 @default.
• W4385202350 hasConcept C2780165032 @default.
• W4385202350 hasConcept C2908647359 @default.
• W4385202350 hasConcept C39432304 @default.
• W4385202350 hasConcept C41008148 @default.
• W4385202350 hasConceptScore W4385202350C10138342 @default.
• W4385202350 hasConceptScore W4385202350C119599485 @default.
• W4385202350 hasConceptScore W4385202350C127413603 @default.
• W4385202350 hasConceptScore W4385202350C134560507 @default.
• W4385202350 hasConceptScore W4385202350C144024400 @default.
• W4385202350 hasConceptScore W4385202350C144133560 @default.
• W4385202350 hasConceptScore W4385202350C148609458 @default.
• W4385202350 hasConceptScore W4385202350C149635348 @default.
• W4385202350 hasConceptScore W4385202350C149923435 @default.
• W4385202350 hasConceptScore W4385202350C162324750 @default.
• W4385202350 hasConceptScore W4385202350C18785705 @default.
• W4385202350 hasConceptScore W4385202350C2780165032 @default.
• W4385202350 hasConceptScore W4385202350C2908647359 @default.
• W4385202350 hasConceptScore W4385202350C39432304 @default.
• W4385202350 hasConceptScore W4385202350C41008148 @default.
• W4385202350 hasIssue "14" @default.
• W4385202350 hasLocation W43852023501 @default.
• W4385202350 hasOpenAccess W4385202350 @default.
• W4385202350 hasPrimaryLocation W43852023501 @default.
• W4385202350 hasRelatedWork W172582856 @default.
• W4385202350 hasRelatedWork W1999321066 @default.
• W4385202350 hasRelatedWork W2187119371 @default.
• W4385202350 hasRelatedWork W2561127001 @default.
• W4385202350 hasRelatedWork W2617750347 @default.
• W4385202350 hasRelatedWork W2899084033 @default.
• W4385202350 hasRelatedWork W2911396426 @default.
• W4385202350 hasRelatedWork W2993737457 @default.
• W4385202350 hasRelatedWork W4226113949 @default.
• W4385202350 hasRelatedWork W1563991405 @default.
• W4385202350 hasVolume "15" @default.
• W4385202350 isParatext "false" @default.
• W4385202350 isRetracted "false" @default.
• W4385202350 workType "article" @default.