The simulation of the impact of the spatial distribution of vegetation on the urban microclimate: A case study in Mostaganem

Bachir, Nora; Bounoua, Lahouari; Aiche, Messaoud; Maliki, Mustapha; Nigro, Joseph; Ghazouani, Laila El

doi:10.1016/j.uclim.2021.100976

Cited by 15 publications

(7 citation statements)

References 28 publications

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“…Again, A and B stand out negatively. Indeed, the urban configuration of these areas shows few efforts to use plant elements for microclimate improvement and landscape attractiveness (Bachir et al, 2021;Hu et al, 2023), generating scenarios that are predominantly gray.…”

Section: Source: Based On Foundations Of Urban Morphology and Vitalitymentioning

confidence: 99%

Unveiling Dynamics of Contemporary Cities: The Influences of Urban Form on the Potential for the Socio-Spatial Vitality of Streets

Siqueira Lima,

Antunes Hardt,

Hardt

2024

GJHSS

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Starting from the assertion that vitality can be promoted by morphological elements, the article focuses on the significance of understanding these relationships for the urban security. The research aims to develop an original methodological essay in different scalar approaches of the Cidade Industrial de Curitiba (CIC) neighborhood in the state capital of Paraná, Brazil. The study began with spatial syntax on a macroscale (CIC) associating road axes integration with crime spots, resulting in the selection of four analysis points on the microscale (street). The integration of these two scales as a unique feature of the study. Considering the lot frontage as a unit of evaluation for interpreting characteristics of public spaces, private areas, temporary conditions, and nighttime scenarios, the answers to the investigative question indicate similar behavior for the parameters of the two latter themes. At the same time, significant connections with criminal activities are found only for the second subject. This result is primarily conditioned by the existence of elements that do not generate vitalized places and are not attractive to the attention of offenders. In conclusion, the guiding hypothesis that certain variables for vitality have more relevant relationships between landscape and security is confirmed. The practical implications of this confirmation have real-world applications in structuring integrated policies for urban planning and security measures in contemporary cities.

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Section: Source: Based On Foundations Of Urban Morphology and Vitalitymentioning

confidence: 99%

Unveiling Dynamics of Contemporary Cities: The Influences of Urban Form on the Potential for the Socio-Spatial Vitality of Streets

Siqueira Lima,

Antunes Hardt,

Hardt

2024

GJHSS

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“…Comfort in urban settlements is determined by looking at the density of settlements and surface temperature, besides that comfort is also influenced by the vegetated land in the area. Various studies have shown the effect of these land parameters on thermal comfort in big cities, urban areas and their surroundings (Al-Masaodi & Al-Zubaidi, 2021;Bachir et al, 2021;Faisal et al, 2021;Jamei, Rajagopalan, & Sun, 2019). The classes consist of the very uncomfortable class which is colored red, uncomfortable in brown, rather comfortable in yellow, comfortable in greenish yellow, vegetated land in light green, densely vegetated land in dark green, rice field in cyan, inland waters in blue, shallow water in light blue and deep water in dark blue.…”

Section: Optimization Of the Neural Network Layermentioning

confidence: 99%

Optimized Artificial Neural Network for the Classification of Urban Environment Comfort using Landsat-8 Remote Sensing Data in Greater Jakarta Area, Indonesia

Sari

Kushardono

Mukhoriyah

et al. 2023

JAETS

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The development of computer vision technology as a type of artificial intelligence is increasing rapidly in various fields. This method uses deep learning methods based on artificial neural networks, a well-performed algorithm in multi-parameter analysis. One of the development of computer vision models and algorithms is for a thematic digital image classification, such as environmental analysis. Remote sensing based digital image classification is one of the reliable tools for environmental quality analysis. This study aims to perform neural network optimization for the analysis of the urban environment comfort based on satellite data. The input data used are 4 types of geobiophysical indexes as urban environmental comfort parameters derived from cloud-free annual mosaics Landsat-8 remote sensing satellite data. The results obtained in this study indicate that the 1 hidden layer neural network architecture with 16 neurons for the classification of urban environmental comfort and 10 other land cover classes is quite good. The result of the classification using this optimized artificial neural network shows that the distribution of classes is very uncomfortable which dominates the Greater Jakarta area and its surroundings. For other classes in the study area, some are uncomfortable and rather comfortable. By using this method, we obtained a fast classification training time of 18 seconds for 145 iterations to achieve an RMS Error of 0.01, and has a fairly high classification accuracy overall 89% with a Kappa coefficient of 0.88, while the 2 hidden layer neural network architecture does not succeed in achieving convergence

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“…Many interrogations were also raised on the services or disservices of vegetation related to air quality, as the question is at the center of attention of policy makers and urban planners for places where the urban pollution island causes major health concerns. District Tree ENVI-met (Mahdavinejad et al, 2018) x Dispersion of CO Park Tree ENVI-met (Morakinyo et al, 2017;Daemei et al, 2018;Forouzandeh, 2018;Ma et al, 2019;Bachir et al, 2021) Air The studies analyzed considered urban greening under all its forms as a relevant strategy of urban adaptation to climate change. This involved the definition and study of greening techniques, and therefore the design of more accurate calculation techniques to assess pedestrian thermal comfort, or building energy consumption.…”

Section: Bibliometric Reviewmentioning

confidence: 99%

“…Another tool claiming to assess greening's impacts on both microclimate and air quality is the CFD-based ENVI-met model. Its scale of study is often limited to a few streets (e.g., Daemei et al, 2018;Bachir et al, 2021) and highly dependent on set boundary conditions (Forouzandeh, 2018). Therefore, among the articles studied, none was found to suggest a model that could support city planner's decision-making at the city scale.…”

Section: Microclimate and Air Quality Modelsmentioning

confidence: 99%

Impact of urban greening on microclimate and air quality in the urban canopy layer: Identification of knowledge gaps and challenges

Ernst

Mentec

Louvrier³

et al. 2022

Front. Environ. Sci.

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Growing urbanization leads to microclimate perturbations and in particular to higher temperatures inside the city as compared to its rural surroundings, a phenomenon known as the urban heat island. Although it exists at several scales, this study focused only on the urban canopy layer, where inhabitants live. A bibliometric study was performed to describe and understand the relationships between strategies of urban greening and canopy layer urban heat island modification in terms of air quality and microclimate. Science mapping of 506 bibliographical resources was performed through co-word and co-citation analysis. A subset of forty-four articles related to microclimate and air quality modelling was extracted and synthesized. This analysis showed scientific papers were polarized into microclimate or air quality studies without strong links between both, implying small collaboration between these fields. There is need for studies coupling microclimate and air pollution modelling to assess vegetation’s impacts at city scale.Systematic Review Registration: [website], identifier [registration number].

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The simulation of the impact of the spatial distribution of vegetation on the urban microclimate: A case study in Mostaganem

Cited by 15 publications

References 28 publications

Unveiling Dynamics of Contemporary Cities: The Influences of Urban Form on the Potential for the Socio-Spatial Vitality of Streets

Unveiling Dynamics of Contemporary Cities: The Influences of Urban Form on the Potential for the Socio-Spatial Vitality of Streets

Optimized Artificial Neural Network for the Classification of Urban Environment Comfort using Landsat-8 Remote Sensing Data in Greater Jakarta Area, Indonesia

Impact of urban greening on microclimate and air quality in the urban canopy layer: Identification of knowledge gaps and challenges

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