Strategy to Improve Outdoor Thermal Comfort in Open Public Space of a Desert City, <i>Ouargla, Algeria</i>

Gherraz, Halima; Guechi, Imen; Benzaoui, A

doi:10.1088/1755-1315/151/1/012036

Cited by 6 publications

(6 citation statements)

References 5 publications

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“…Thermal comfort: Many studies provided outdoor design considerations such as using vegetation and green spaces (Gherraz, H et.al 2018) 12 , (Lai, D.et.Al (2020)) 13 , and designing streets and sidewalk widths, shading structures, materials, landscaping, building heights (Zhang, L. et. Al 2020 ) 14 , (Lau, K et.Al 2019) 15 , and using shades in open space to decrease sunlight radiation (Abdallah, A ET, al 2020) 16 .…”

Section: Physiological Qualitymentioning

confidence: 99%

Improving Quality of Student’s Life on University Campus (Guidelines of New Assessment Tools)

Mohamed

Mandour

Baker

2023

Engineering Research Journal

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University is considered one of the main pillars on which the advancement and growth of society is based, it has a vital role in building student's character, goals, and future, and it affects all aspects of his life, such as social, educational, and cultural. One of the key elements that influences students' life on campus is the design of outdoor spaces (student spaces) where they spend most of their day. Several previous studies evaluated the quality of a university campus and the quality of student university life from different sides, most of which were academic, except the UI-Green Metric system that assesses the environmental quality of a campus. The current study aims to provide a new comprehensive assessment tool that evaluates the quality of student's life in all fields of life. The study reviewed many publications about quality of life and campus design requirements and based this tool on Maslow's expanded hierarchy of needs as well as Lang's functionalism theory. In order to develop a balanced index, the study adopted The analytical hierarchy process (AHP) and conducted 50 expert questionnaires to produce a balanced numerical evaluation index. An index was reached consisting of 25 quality indicators categorized into seven dimensions; physiological, social, safety & security, functional, cognitive, selfesteem & self-actualization, and aesthetic quality.

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Section: Physiological Qualitymentioning

confidence: 99%

Improving Quality of Student’s Life on University Campus (Guidelines of New Assessment Tools)

Mohamed

Mandour

Baker

2023

Engineering Research Journal

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“…At this scope, several studies report on outdoor thermal comfort in dry and arid climate conditions where Gherraz et al, [1] showed the main role of urban vegetation in improving thermal comfort by varying the sky view factor (SVF), reducing the radiation by more than 25%. The maximum Predict Mean Vote (PMV) level was decreased from 7.9 to 4.8 and the average radiant temperature also, from 52.9°C to 42.9°C.…”

Section: Introductionmentioning

confidence: 99%

“…Trees and the shade have a major impact on comfort and usage [25]. They contribute to the improvement of the microclimate in urban areas and significantly reduce user discomfort by providing better conditions [1,2,5,26]. A recent study related to the influence of green spaces on human behaviour; not only in terms of quantity of greenery but also in terms of the configuration [27].…”

Section: Introductionmentioning

confidence: 99%

Predictive Capacity Analysis for Outdoor Thermal Comfort Assessments: A Case Study of Jijel City, Algeria

BOUTELLIS

Bouchair

2022

ARFMTS

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Ensuring acceptable thermal comfort conditions in public spaces is nowadays a major concern of urban design. A number of indices have been proposed in the literature, namely PMV, PET, SET*, UTCI, PT, mPET and MOCI. The present study aims to find the most suitable index the outdoor thermal comfort assessment in the city of Jijel by comparing the predictive capacities of these indices in terms of frequency occurrence and by relating them with the contextual responses of users. These indices are defined, their feature is analysed and finally explored. Thermal comfort based on these indices was evaluated using RayMan and Townscope softwares. The choice among these indices needs their comparison with data gathered from a survey by questionnaire. The findings indicate a slight agreement between these indices and the perceived sensation (PESV) values in the range of -1 and +1, especially with the indices SET* and mPET. However, for the classes +2 and +4, a significant disagreement is observed. For the class +3, however, only PET, PMV and SET* are more joined to the perceived sensation values. The disagreements may be related to the physical environment characteristics, the subjective perception, and the adaptation attitude of the users. Thus, further indices calibration investigation is needed for better prediction of comfort taking into account local specificities. Based on the indices which are relatively in agreement with PESV, a neutral air temperature of 19.8 °C in winter and 20.4 °C in summer for the city of Jijel is deduced. Also, a comfort zone of 17.3 to 22.4 °C in winter and 18 to 22.8 °C in summer is extrapolated.

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“…(Kong et al, 2014, Taha et al, 1988, Oliveira et al, 2011. Furthermore, the vegetation type and density, green space size and shape, and trees shaded areas are all important parameters in determining the cooling effect (Gherraz et al, 2018, Hanafi & Alkama, 2017, Giridharan et al, 2008. Green surfaces may effectively contribute to the reduction of higher temperatures which are caused by UHI effects by keeping its temperature low.…”

Section: Introductionmentioning

confidence: 99%

“…Several studies have investigated the impact of parks and green spaces on the urban microclimate (Boudjelal & Bourbia, 2017, Qiu et al, 2017, Zhang, 2017, Chun & Guldmann, 2018. They have deduced that the reduction in temperature in a green urban environment can reach 4 °C (Gherraz et al, 2018). However, many studies (Cohen et al, 2012) have predicted that urban green spaces could be warmer than the surrounding built-up area and could worsen unpleasant microclimatic conditions.…”

Section: Introductionmentioning

confidence: 99%

Quantifying the effects of spatial patterns of green spaces on urban climate and urban heat island in a semi-arid climate

Gherraz¹,

Guechi²,

Alkama³

2020

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Green spaces in urban areas have a positive effect on the urban climate and microclimate. They help regulate the urban climate and mitigate the urban heat island (UHI) by creating a cooling effect through shade and evapotranspiration. In addition, they release oxygen, absorb carbon dioxide, generate shade, as well as energy usage and pollution emissions. The aim of this study is to assess the impact of spatiotemporal changes in green cover on the urban climate to mitigate the urban heat island (UHI). This is achieved through analyzing their effects on the land surface temperature (LST) due to the change in the spatial configuration of this green cover in the period between 1990 and 2019 in Constantine city. To materialize this effect, Google Earth Pro images, Landsat 5TM and Landsat 8 OLI/TIRS images of multiple years were acquired, processed and analyzed to generate land use maps (LU/LC), the normalized difference vegetation index (NDVI) maps. Those maps were used in order to estimate land surface temperature LST, the green cooling island (GCI) and the urban cooling island (UCI) of vegetation. Many landscape metrics (PLAND, CA, PD, NP, LPI, LSI, MPS, AI, PR, and SHAPE_MN) were chosen for the study at the class and landscape level to analyze the relationship between spatial patterns of vegetation and spatial distribution of LST through the SPSS 26 software. Our results showed that there is a negative relationship between NDVI and LST during the study period. Thus, the increase in NDVI values caused a decrease in LST values. Dense green space with the highest values of NDVI had the highest cooling effect. Therefore, our study confirmed that the type, density, size and the shape of vegetation are important factors in determining its cooling effect. The obtained results showed also that a simple, homogeneous and aggregated green landscape is more effective. The large dominant green patch has the highest impact on LST distribution leading to fragmented green patches with complicated shapes which led to an increase in LST.

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Strategy to Improve Outdoor Thermal Comfort in Open Public Space of a Desert City, Ouargla, Algeria

Cited by 6 publications

References 5 publications

Improving Quality of Student’s Life on University Campus (Guidelines of New Assessment Tools)

Improving Quality of Student’s Life on University Campus (Guidelines of New Assessment Tools)

Predictive Capacity Analysis for Outdoor Thermal Comfort Assessments: A Case Study of Jijel City, Algeria

Quantifying the effects of spatial patterns of green spaces on urban climate and urban heat island in a semi-arid climate

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