Published: Jan. 1, 2024
Language: Английский
Sustainability, Journal Year: 2025, Volume and Issue: 17(3), P. 809 - 809
Published: Jan. 21, 2025
The precise selection of agricultural land is essential for guaranteeing global food security and sustainable development. Additionally, suitability (AgLS) analysis crucial tackling issues including resource scarcity, environmental degradation, rising demands. This research examines the synergies trade-offs among development goals (SDGs) using a hybrid geographic information system (GIS)–fuzzy analytic hierarchy process (FAHP)–geostatistical framework AgLS in Attur Taluk, India. area was chosen its varied agro-climatic conditions, riverine habitats, importance. Accordingly, data from ten topographical, climatic, soil physiochemical variables, such as slope, temperature, texture, were obtained analyzed to carry out study. geostatistical demonstrated spatial variability parameters, providing insights into key factors study area. Based on receiver operating characteristic curve analysis, results showed that FAHP method (AUC = 0.71) outperformed equal-weighting scheme 0.602). Moreover, mapping designated 17.31% highly suitable (S1), 41.32% moderately (S2), 7.82% permanently unsuitable (N2). identified reinforcing conflicting correlations with SDGs, emphasizing need policies address trade-offs. findings 40% alignment climate action (SDG 13) via improved resilience, 33% clean water 6) by identifying low-salinity zones, 50% zero hunger 2) through systems. Conflicts arose SDG 13 (20%) due reliance rain-fed agriculture, 15 (11%) 2 (13%) inefficiencies low-productivity zones. A plan (SAP) can tackle these promoting drought-resistant crops, nutrient management, participatory land-use planning. provide replicable integrating agriculture sustainability objectives worldwide.
Language: Английский
Citations
7
Advances in Applied Energy, Journal Year: 2023, Volume and Issue: 12, P. 100155 - 100155
Published: Oct. 6, 2023
The urban energy infrastructure is facing a rising number of challenges due to climate change and rapid urbanization. In particular, the link between morphology systems has become increasingly crucial as cities continue expand more densely populated. Achieving neutrality adds another layer complexity, highlighting need address this relationship develop effective strategies for sustainable infrastructure. occurrence extreme events can also trigger cascading failures in system components, leading long-lasting blackouts. This review paper thoroughly explores incorporating into models through comprehensive literature proposes new framework enhance resilience interconnected systems. emphasizes integrated provide deeper insights design operation addresses failures, interconnectivity, compound impacts urbanization on It emerging opportunities, including requirement high-quality data, utilization big integration advanced technologies like artificial intelligence machine learning proposed integrates classification, mesoscale microscale process consider influence morphology, variability, events. Given prevalence climate-resilient strategies, study underscores significance improving accommodate future variations while recognizing interconnectivity within
Language: Английский
Citations
28
Sustainable Cities and Society, Journal Year: 2025, Volume and Issue: unknown, P. 106203 - 106203
Published: Feb. 1, 2025
Language: Английский
Citations
2
Building and Environment, Journal Year: 2025, Volume and Issue: unknown, P. 112688 - 112688
Published: Feb. 1, 2025
Citations
2
Energy and Buildings, Journal Year: 2025, Volume and Issue: unknown, P. 115392 - 115392
Published: Jan. 1, 2025
Language: Английский
Citations
1
International Journal of Applied Earth Observation and Geoinformation, Journal Year: 2024, Volume and Issue: 130, P. 103929 - 103929
Published: May 25, 2024
In the quest for large-scale photovoltaic (PV) panel extraction, substantial data volumes are essential, given demand sub-meter rooftop PV resolution. This requires concept of Latent Photovoltaic Locations (LPL) to reduce scope amount subsequent processing. order minimize manual annotation, a pioneering weakly-supervised framework is proposed, which capable generating pixel-level annotations segmentation based on image-level and provides two datasets required classification-then-segmentation strategy without more annotations. The strong noise-resistance Segment Anything Model (SAM) discovered in extremely difficult rough coarse pseudo-label refinement, which, after integrating probability updating mechanism, achieves seamless transition from scene classification semantic segmentation. resulting national LPL distribution map, rendered at 2 m resolution, showcases commendable 92 % accuracy F1-score 91 %, advantages terms efficiency have been verified through large number experiments. process explores how use fundamental models accelerate remote sensing information extraction process, crucial current trajectory deep learning sensing. relevant code available https://github.com/Github-YRQ/LPL.
Language: Английский
Citations
8
Journal of Building Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 112357 - 112357
Published: March 1, 2025
Language: Английский
Citations
1
Building and Environment, Journal Year: 2024, Volume and Issue: 261, P. 111710 - 111710
Published: June 2, 2024
Language: Английский
Citations
5
Buildings, Journal Year: 2024, Volume and Issue: 14(6), P. 1774 - 1774
Published: June 12, 2024
The global demand for energy is significantly impacted by the consumption patterns within building sector. As such, importance of simulation and prediction growing exponentially. This research leverages Building Information Modelling (BIM) methodologies, creating a synergy between traditional software methods algorithm-driven approaches comprehensive analysis. study also proposes method monitoring select management factors, step that could potentially pave way integration digital twins in systems. grounded case newly constructed educational New South Wales, Australia. physical model was created using Autodesk Revit, conventional BIM methodology. EnergyPlus, facilitated OpenStudio, employed software-based analysis output then used to develop preliminary algorithm models regression strategies Python. In this analysis, temperature relative humidity each unit were as independent variables, with their being dependent variable. sigmoid model, known its accuracy interpretability, advanced simulation. combined sensor data real-time prediction. A basic twin (DT) example simulate dynamic control air conditioning lighting, showcasing adaptability effectiveness system. explores potential machine learning, specifically reinforcement optimizing response environmental changes usage conditions. Despite current limitations, identifies future directions. These include enhancing developing complex algorithms boost efficiency reduce costs.
Language: Английский
Citations
4
Energy and Built Environment, Journal Year: 2024, Volume and Issue: unknown
Published: Nov. 1, 2024
Language: Английский
Citations
3