Articles | Volume 16, issue 10
https://doi.org/10.5194/acp-16-6285-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-16-6285-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Evaluating the impact of built environment characteristics on urban boundary layer dynamics using an advanced stochastic approach
Jiyun Song
School of Sustainable Engineering and the Built Environment, Arizona
State University, Tempe, AZ 85287, USA
School of Sustainable Engineering and the Built Environment, Arizona
State University, Tempe, AZ 85287, USA
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Cited
24 citations as recorded by crossref.
- On‐ and off‐line evaluation of the single‐layer urban canopy model in London summertime conditions A. Tsiringakis et al. 10.1002/qj.3505
- A novel probabilistic simulation approach for forecasting the safety factor of slopes: a case study S. Mojtahedi et al. 10.1007/s00366-018-0623-5
- The hysteresis effect on surface-air temperature relationship and its implications to urban planning: An examination in Phoenix, Arizona, USA J. Song et al. 10.1016/j.landurbplan.2017.06.024
- Biospheric and anthropogenic contributors to atmospheric CO2 variability in a residential neighborhood of Phoenix, Arizona J. Song et al. 10.1002/2016JD026267
- Wastewater Reclamation Holds a Key for Water Sustainability in Future Urban Development of Phoenix Metropolitan Area Z. Wang et al. 10.3390/su11133537
- The synergistic effect of urban heat and moisture islands in a compact high-rise city X. Huang et al. 10.1016/j.buildenv.2021.108274
- Modulation of the urban boundary‐layer heat budget by a heatwave L. Wang & D. Li 10.1002/qj.3526
- Uncertainty and sensitivity analysis of modeling plant CO2 exchange in the built environment P. Li & Z. Wang 10.1016/j.buildenv.2020.107539
- Prioritizing environmental determinants of urban heat islands: A machine learning study for major cities in China H. Hou et al. 10.1016/j.jag.2023.103411
- Compound environmental impact of urban mitigation strategies: Co-benefits, trade-offs, and unintended consequence Z. Wang 10.1016/j.scs.2021.103284
- The impact of urban irrigation on the temperature-carbon feedback in U.S. cities X. Yang et al. 10.1016/j.jenvman.2023.118452
- Changes in reference evapotranspiration and its driving factors in the middle reaches of Yellow River Basin, China D. She et al. 10.1016/j.scitotenv.2017.07.007
- Cooling wisdom of ‘water towns’: How urban river networks can shape city climate? D. Shi et al. 10.1016/j.rse.2023.113925
- Probabilistic private cost-benefit analysis for green roof installation: A Monte Carlo simulation approach A. Mahdiyar et al. 10.1016/j.ufug.2016.10.001
- Diurnal changes in urban boundary layer environment induced by urban greening J. Song & Z. Wang 10.1088/1748-9326/11/11/114018
- Practical Risk Assessment of Ground Vibrations Resulting from Blasting, Using Gene Expression Programming and Monte Carlo Simulation Techniques A. Mahdiyar et al. 10.3390/app10020472
- Thermodynamic characterisation of urban nocturnal cooling Z. Wang & Q. Li 10.1016/j.heliyon.2017.e00290
- Early‐Warning Signals for Critical Temperature Transitions C. Wang et al. 10.1029/2020GL088503
- Reconceptualizing urban heat island: Beyond the urban-rural dichotomy Z. Wang 10.1016/j.scs.2021.103581
- Characteristics of dry-wet abrupt alternation events in the middle and lower reaches of the Yangtze River Basin and the relationship with ENSO L. Shan et al. 10.1007/s11442-018-1540-7
- Probabilistic air-overpressure simulation resulting from blasting operations A. Mahdiyar et al. 10.1007/s12665-018-7293-x
- Modeling carbon dioxide exchange in a single-layer urban canopy model P. Li & Z. Wang 10.1016/j.buildenv.2020.107243
- Critical transitions in the hydrological system: early-warning signals and network analysis X. Yang et al. 10.5194/hess-26-1845-2022
- Spatiotemporal patterns of the impact of surface roughness and morphology on urban heat island H. Hou et al. 10.1016/j.scs.2023.104513
24 citations as recorded by crossref.
- On‐ and off‐line evaluation of the single‐layer urban canopy model in London summertime conditions A. Tsiringakis et al. 10.1002/qj.3505
- A novel probabilistic simulation approach for forecasting the safety factor of slopes: a case study S. Mojtahedi et al. 10.1007/s00366-018-0623-5
- The hysteresis effect on surface-air temperature relationship and its implications to urban planning: An examination in Phoenix, Arizona, USA J. Song et al. 10.1016/j.landurbplan.2017.06.024
- Biospheric and anthropogenic contributors to atmospheric CO2 variability in a residential neighborhood of Phoenix, Arizona J. Song et al. 10.1002/2016JD026267
- Wastewater Reclamation Holds a Key for Water Sustainability in Future Urban Development of Phoenix Metropolitan Area Z. Wang et al. 10.3390/su11133537
- The synergistic effect of urban heat and moisture islands in a compact high-rise city X. Huang et al. 10.1016/j.buildenv.2021.108274
- Modulation of the urban boundary‐layer heat budget by a heatwave L. Wang & D. Li 10.1002/qj.3526
- Uncertainty and sensitivity analysis of modeling plant CO2 exchange in the built environment P. Li & Z. Wang 10.1016/j.buildenv.2020.107539
- Prioritizing environmental determinants of urban heat islands: A machine learning study for major cities in China H. Hou et al. 10.1016/j.jag.2023.103411
- Compound environmental impact of urban mitigation strategies: Co-benefits, trade-offs, and unintended consequence Z. Wang 10.1016/j.scs.2021.103284
- The impact of urban irrigation on the temperature-carbon feedback in U.S. cities X. Yang et al. 10.1016/j.jenvman.2023.118452
- Changes in reference evapotranspiration and its driving factors in the middle reaches of Yellow River Basin, China D. She et al. 10.1016/j.scitotenv.2017.07.007
- Cooling wisdom of ‘water towns’: How urban river networks can shape city climate? D. Shi et al. 10.1016/j.rse.2023.113925
- Probabilistic private cost-benefit analysis for green roof installation: A Monte Carlo simulation approach A. Mahdiyar et al. 10.1016/j.ufug.2016.10.001
- Diurnal changes in urban boundary layer environment induced by urban greening J. Song & Z. Wang 10.1088/1748-9326/11/11/114018
- Practical Risk Assessment of Ground Vibrations Resulting from Blasting, Using Gene Expression Programming and Monte Carlo Simulation Techniques A. Mahdiyar et al. 10.3390/app10020472
- Thermodynamic characterisation of urban nocturnal cooling Z. Wang & Q. Li 10.1016/j.heliyon.2017.e00290
- Early‐Warning Signals for Critical Temperature Transitions C. Wang et al. 10.1029/2020GL088503
- Reconceptualizing urban heat island: Beyond the urban-rural dichotomy Z. Wang 10.1016/j.scs.2021.103581
- Characteristics of dry-wet abrupt alternation events in the middle and lower reaches of the Yangtze River Basin and the relationship with ENSO L. Shan et al. 10.1007/s11442-018-1540-7
- Probabilistic air-overpressure simulation resulting from blasting operations A. Mahdiyar et al. 10.1007/s12665-018-7293-x
- Modeling carbon dioxide exchange in a single-layer urban canopy model P. Li & Z. Wang 10.1016/j.buildenv.2020.107243
- Critical transitions in the hydrological system: early-warning signals and network analysis X. Yang et al. 10.5194/hess-26-1845-2022
- Spatiotemporal patterns of the impact of surface roughness and morphology on urban heat island H. Hou et al. 10.1016/j.scs.2023.104513
Latest update: 21 Nov 2024
Short summary
In this study, we found that the apparent impact of landscape changes due to urbanization is far beyond a localized effect limited in a relatively shallow layer of atmosphere above a city. Instead, it can effectively penetrate into the deep layer of atmosphere above cities up to kilometres in height. Some of the landscape characteristics, e.g., the urban morphology, even exhibit peculiar (nonlinear) effect that challenges our intuitive thinking and invites further investigations.
In this study, we found that the apparent impact of landscape changes due to urbanization is far...
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