Draft:Scale Analysis Methodologies in Residential Planning
 | Review waiting, please be patient.
This may take 2 months or more, since drafts are reviewed in no specific order. There are 1,783 pending submissions waiting for review.
Where to get help
How to improve a draft
You can also browse Wikipedia:Featured articles and Wikipedia:Good articles to find examples of Wikipedia's best writing on topics similar to your proposed article. Improving your odds of a speedy review To improve your odds of a faster review, tag your draft with relevant WikiProject tags using the button below. This will let reviewers know a new draft has been submitted in their area of interest. For instance, if you wrote about a female astronomer, you would want to add the Biography, Astronomy, and Women scientists tags. Editor resources
Reviewer tools
|
Submission declined on 3 January 2025 by Jlwoodwa (talk).
Where to get help
How to improve a draft
You can also browse Wikipedia:Featured articles and Wikipedia:Good articles to find examples of Wikipedia's best writing on topics similar to your proposed article. Improving your odds of a speedy review To improve your odds of a faster review, tag your draft with relevant WikiProject tags using the button below. This will let reviewers know a new draft has been submitted in their area of interest. For instance, if you wrote about a female astronomer, you would want to add the Biography, Astronomy, and Women scientists tags. Editor resources
This draft has been resubmitted and is currently awaiting re-review. |  |
| Submission declined on 24 December 2024 by SafariScribe (talk). This submission reads more like an essay than an encyclopedia article. Submissions should summarise information in secondary, reliable sources and not contain opinions or original research. Please write about the topic from a neutral point of view in an encyclopedic manner. Declined by SafariScribe 10 days ago. | |
Scale analysis has emerged as a pivotal methodology in urban planning, especially in addressing challenges such as climate change, urban heat islands, and fluid dynamics. It provides a systematic approach to simplifying complex systems, allowing for efficient modeling and decision-making. This technique is essential for developing sustainable and resilient urban environments by enabling planners to predict the impact of specific variables on urban systems and optimize infrastructure and resource allocation.
History and Evolution of Scale Analysis
[edit]Scale analysis is rooted in the principles of dimensional analysis and has a history that spans over a century. Its formalization began with the Buckingham Pi theorem, which introduced dimensionless parameters to simplify complex equations[1]. These principles also have application in fields such as fluid dynamics and thermodynamics and are being adapted for urban planning.
During the mid-20th century, researchers like Ludwig Prandtl and Osborne Reynolds advanced the field of fluid dynamics by exploring boundary layers and turbulence, which are key concepts for understanding urban fluid dynamics[2]. Computational tools further expanded the scope of scale analysis, enabling its integration into urban planning to address complex challenges such as airflow modeling and heat management[3].
Core Principles and Methodologies
[edit]1. Dimensional Analysis
[edit]Dimensional analysis ensures that mathematical models are dimensionally consistent. This process involves expressing physical quantities in terms of their fundamental dimensions (e.g., mass, length, time) and identifying significant variables that influence the system.
For example, in urban heat transfer studies, dimensional analysis can reveal the relative importance of conductive versus convective heat transfer mechanisms, guiding planners in focusing on variables like thermal conductivity and wind velocity[4].
2. Identification of Dominant Terms
[edit]Scale analysis most importantly requires identifying which terms in an equation dominate under specific conditions. This approach simplifies equations by allowing negligible terms to be disregarded.
In fluid mechanics, for instance, Reynolds numbers help determine whether viscous or inertial forces dominate airflow in urban settings. Such analyses inform decisions about building orientation and ventilation strategies[5].
3. Non-Dimensionalization
[edit]Non-dimensionalization transforms equations into dimensionless forms, highlighting relationships between variables and enabling cross-system comparisons. Common dimensionless parameters allow for scalable applications in urban planning. Thus planners can extrapolate findings from smaller models to larger urban systems, optimizing resources and improving scalability[1].
4. Integration with Computational Tools
[edit]Modern methodologies incorporate computational tools, such as CFD models, to simulate airflow, heat transfer, and pollutant dispersion. These tools leverage scale analysis to optimize computational efficiency, balancing accuracy with cost-effectiveness in urban planning scenarios[3].
Applications in Residential Planning
[edit]1. Building Design and Orientation
[edit]Scale analysis helps in optimizing building orientation, window-to-wall ratios, and ventilation systems. By modeling airflow and light distribution, planners can enhance energy efficiency and occupant comfort[6]. While Computational Fluid Dynamics (CFD) simulations are used to refine these analyses, Scale Analysis provides a base approximation at a significantly lower cost[3].
2. Mitigating Urban Heat Islands
[edit]Urban heat islands are a significant challenge in residential planning. Scale analysis is used to determine the placement of green spaces, water features, and shading structures to mitigate heat transfer and improve microclimates. This approach improves urban livability and reduces energy consumption in cooling systems[7].
3. Resource Allocation and Infrastructure Development
[edit]By focusing on dominant terms, scale analysis supports efficient resource allocation and infrastructure planning. Applications include optimizing water distribution systems, managing traffic flows, and designing urban drainage systems[8].
Challenges and Limitations
[edit]1. Site-Specific Environmental Variability
[edit]Local microclimates and environmental conditions can complicate the identification of dominant terms, requiring tailored models for different urban contexts[9].
2. Balancing Natural Lighting and Heat Gain
[edit]Optimizing for natural lighting while maintaining thermal comfort poses challenges, particularly in warm climates where excessive sunlight can increase cooling loads[6].
3. Integration of Sustainability Goals
[edit]Incorporating sustainability objectives, such as energy efficiency and reduced carbon footprints, adds complexity to scale analysis models[10].
Future Directions
[edit]The future of scale analysis in residential planning is aligned with emerging trends in urban development, including:
1. High-Density Development
[edit]Scale analysis will be critical in optimizing vertical construction and high-density living arrangements to address space constraints in growing urban areas[11]
2. Sustainable Construction Materials
[edit]Evaluating the scalability of low-carbon materials across construction projects will reduce environmental impacts while maintaining structural integrity.[1]
3. Climate-Resilient Design
[edit]Incorporating adaptive reuse and climate-resilient features into urban planning will ensure cities can withstand environmental challenges such as flooding and heat waves.[3]
4. Energy-Efficient Building Systems
[edit]Expanding the use of solar panels, smart energy grids, and geothermal systems through scale analysis will reduce urban carbon footprints while meeting increasing energy demands.[6]
References
[edit]- ^ a b c Langtangen, Hans Petter; Pedersen, Geir K. (2016). Scaling of Differential Equations. Springer Nature. hdl:20.500.12657/42897. ISBN 978-3-319-32726-6.
- ^ Young, I. R. (2006). "Directional spectra of hurricane wind waves". Journal of Geophysical Research: Oceans. 111 (C8). Bibcode:2006JGRC..111.8020Y. doi:10.1029/2006JC003540. hdl:1885/8975. ISSN 0148-0227.
- ^ a b c d Priyadarsini, R., Hien, W. N., & David, C. K. W. (2009). Microclimatic modeling of the urban thermal environment of Singapore to mitigate urban heat island. Solar Energy, 83(4), 527–538. https://doi.org/10.1016/j.solener.2008.02.008
- ^ Didichenko, M., Bulakh, I., & Kozakova, O. (2019). Spatial and temporal principles and methods of the historical urban environment composition transformations. Urban and Regional Planning, 4(4), 144. https://doi.org/10.11648/j.urp.20190404.13
- ^ Lepage, Michael F.; Irwin, Peter A. (1990-01-01). "Scale model and analytical methods to improve natural ventilation of an office". Journal of Wind Engineering and Industrial Aerodynamics. The Sixth U.S. National Conference on Wind Engineering. 36: 469–479. Bibcode:1990JWEIA..36..469L. doi:10.1016/0167-6105(90)90330-F. ISSN 0167-6105.
- ^ a b c Ashmawy, R. E., & Azmy, N. Y. (2018). Buildings Orientation and its Impact on the Energy Consumption. ARCHive-SR, 2(3), 35–49. https://doi.org/10.21625/archive.v2i3.344
- ^ Gorgoglione, Angela; Castro, Alberto; Iacobellis, Vito; Gioia, Andrea (2021). "A Comparison of Linear and Non-Linear Machine Learning Techniques (PCA and SOM) for Characterizing Urban Nutrient Runoff". Sustainability. 13 (4): 2054. doi:10.3390/su13042054. ISSN 2071-1050.
- ^ Huang, H., Cheng, Y., & Weibel, R. (2019). Transport mode detection based on mobile phone network data: a systematic review. Transportation Research Part C Emerging Technologies, 101, 297-312. https://doi.org/10.1016/j.trc.2019.02.008
- ^ Hanaoka, K. (2016). New insights on relationships between street crimes and ambient population: use of hourly population data estimated from mobile phone users' locations. Environment and Planning B Urban Analytics and City Science, 45(2), 295-311. https://doi.org/10.1177/0265813516672454
- ^ Asadi, E., et al. (2012). Multi-objective optimization for building retrofit strategies: A model for residential buildings. Energy and Buildings, 44, 81–87. https://doi.org/10.1016/j.enbuild.2011.10.016
- ^ "World Urbanization Prospects - Population Division - United Nations". population.un.org. Retrieved 2024-10-09.
- Promotional tone, editorializing and other words to watch
- Vague, generic, and speculative statements extrapolated from similar subjects
- Essay-like writing
- Hallucinations (plausible-sounding, but false information) and non-existent references
- Close paraphrasing
Please address these issues. The best way to do it is usually to read reliable sources and summarize them, instead of using a large language model. See our help page on large language models.