The relationship between spatial patterns of urban land uses and air pollutants in the Tehran metropolis, Iran

Gheshlaghpoor, Soheil; Abedi, Seyedeh Sanaz; Moghbel, Masoumeh

doi:10.1007/s10980-022-01549-y

Cited by 8 publications

(5 citation statements)

References 71 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Furthermore, we observed a positive exponential response of vegetation growth to built-up land patterns, while an inverse exponential relationship was found for unused land patterns. For built-up land, previous studies have shown that large, aggregated built-up land can inhibit ventilation and absorb more solar radiation, exacerbating UHIs (urban heat islands) and air pollution 18,19,35 . Therefore, PLAND, LPI, and COHESION in built-up land had a positive effect on UIE-VG.…”

Section: Discussionmentioning

confidence: 99%

“…Previous studies have shown that urban environments affecting vegetation growth are largely dependent on urban landscape patterns. Several studies indicate that the expansion of built-up areas is related to the intensification of urban heat islands, urban dry islands, and urban pollution islands [18][19][20] , which in turn influence vegetation growth 21 . Conversely, increasing green land and waterbodies can mitigate these effects 22 .…”

mentioning

confidence: 99%

See 1 more Smart Citation

Indirect non-linear effects of landscape patterns on vegetation growth in Kunming City

Li,

Zhao,

Chen

et al. 2024

npj Urban Sustain

View full text Add to dashboard Cite

Urban greening is becoming an important strategy in improving urban ecosystem services and sustainability. Identifying the response of vegetation to urbanization and urban landscape patterns can help in planning for urban greening. Urbanization may lead to both direct and indirect effects on vegetation, and the indirect effects of urbanization on vegetation growth (UIE-VG) have been paid much attention recently in large scale. In this study, we investigated the spatiotemporal evolution of UIE-VG and the effects of landscape patterns on UIE-VG using the boosted regression tree model and remotely sensed data. An increase in average UIE-VG from 4 to 56% was found during urbanization of Kunming, the case study area in southwest China. However, UIE-VG exhibited high variations due to landscape pattern changes at the local scale. Overall, area-related and aggregation-related landscape metrics had greater effects on UIE-VG than the other metrics. The increase and aggregation of built-up land enhanced UIE-VG by 3.1–81.3% while the increase and aggregation of unused land and waterbodies reduced UIE-VG by 0.7–20.6%. Moreover, we found that the large and aggregated vegetation areas may mitigate the negative UIE-VG in low urbanization areas. Our findings have important implications for integrating urban landscape planning into sustainable urban greening strategies.

show abstract

Section: Discussionmentioning

confidence: 99%

mentioning

confidence: 99%

Indirect non-linear effects of landscape patterns on vegetation growth in Kunming City

Li,

Zhao,

Chen

et al. 2024

npj Urban Sustain

View full text Add to dashboard Cite

show abstract

“…The method of this research is based on the use of the classification of GI through local climate zone (LCZ) and measurement of landscape metrics (Gheshlaghpoor, Abedi, & Moghbel, 2023). According to Figure 1, in this classification, urban land is divided into 17 different types of land use, of which 4 types are dedicated to green spaces (A-D).…”

Section: Local Climate Zone (Lst) and Measurement Of Landscape Metricsmentioning

confidence: 99%

Examining Relationships between Spatial Pattern of Green Infrastructure and Urban Heat Island (Case Study: Tehran Metropolis)

Amin Zadeh-Gohar-Rizi,

Gheshlaghpoor

2023

ICCAUA

View full text Add to dashboard Cite

Green infrastructure (GI) is one factor that reduces the intensity of Urban Heat Islands (UHI). The research results related to the relationship between the spatial pattern (composition/configuration) of urban GI and UHI show contradictory results. Some researchers emphasized the negative relationship between MPS and ED criteria, while other researchers found positive results in these criteria. Based on this, this study was conducted in the metropolis of Tehran, which is located in the center of Iran and has undergone many changes. The method is based on Local Climate Zone (LCZ) classification, measuring the landscape metrics (CA, ED, MPS, LSPI), and analyzing the relationships through Pearson correlation and partial Pearson correlation. The results show: (1) Areas with tree cover in two types of green spaces A/B have a negative effect on Land Surface Temperature by 0.46 and 0.84 at the 95% and 99% confidence levels, respectively, (2) Mean patch size (MPS) and largest patch index (LPI) of type A were important factors in reducing LST by 0.458 and 0.481 respectively at 99% confidence level, (3) The value of Edge Density (ED) in GI, including B/C type, has positive effects on LST and is 0.519 and 0.33 at the 95% confidence level. These results showed that it is possible to influence the reduction of LST by planning suitable GI spatial patterns, So that urban planners and designers should focus on creating green infrastructure with dense trees in urban centers, and on the other hand, pay attention to air circulation flows in Tehran metropolis based on the height of buildings.

show abstract

“…

activity, connection to nature, and opportunities for community engagement (Vos et al 2013;Gunawardena et al 2017). Nowadays, the need to preserve, maintain, and develop urban forests has become more noticeable and grown in importance to the people and authorities.Air pollution is a prominent environmental issue in cities due to its harmful effects (Gheshlaghpoor et al 2022). Tehran, the capital of Iran, with a population of 9.7 million, is ranked among the world's most polluted cities (Dadkhah-Aghdash et al 2022).

…”

mentioning

confidence: 99%

“…Air pollution is a prominent environmental issue in cities due to its harmful effects (Gheshlaghpoor et al 2022). Tehran, the capital of Iran, with a population of 9.7 million, is ranked among the world's most polluted cities (Dadkhah-Aghdash et al 2022).…”

mentioning

confidence: 99%

Assessment of the Relationships Between Leaf Characteristics with Air Pollutants: A Case Study on Oriental Plane (Platanus orientalisL.) and Caucasian Hackberry (Celtis caucasicaWilld.)

Mousavi Javardi,

Pakravan,

Panahi

et al. 2023

isa

View full text Add to dashboard Cite

BackgroundPlants are sensitive to air pollution by altering their vital processes such as growth or photosynthesis. Leaf characteristics reflect the adaptive mechanism of plants to their environment. This mechanism is demonstrated through changes in anatomical, morphological, and physiological characteristics relative to environmental changes.MethodsSamples were taken from 2 species ofPlatanus orientalisL. andCeltis caucasicaWilld. in 10 urban forests of Tehran, Iran. In each study area, 50 leaves were collected from different directions of the canopy of each tree, and their area was measured by a leaf area meter instrument in a laboratory. Leaf moisture and specific leaf area (SLA) were also calculated. The data of air pollutants were obtained from the nearest pollution measurement stations to each study location.ResultsThe average percentage of moisture forP. orientalisandC. caucasicawas calculated as 49.6% and 41.9%, respectively. The averages of SLA were estimated 9.2 and 6.5 cm2/g, respectively. The average leaf area was 36 and 6.04 cm2, respectively. The correlation between quantitative variables of leaf (leaf area and SLA) and air pollutant appeared in both study species, only there was a significant negative relationship between leaf area and O3. This relationship was stronger inC. caucasica(R2= −0.78).ConclusionThe results of this research showed that both species showed similar behavior against air pollutants, butC. caucasicashowed more reaction.

show abstract

The relationship between spatial patterns of urban land uses and air pollutants in the Tehran metropolis, Iran

Cited by 8 publications

References 71 publications

Indirect non-linear effects of landscape patterns on vegetation growth in Kunming City

Indirect non-linear effects of landscape patterns on vegetation growth in Kunming City

Examining Relationships between Spatial Pattern of Green Infrastructure and Urban Heat Island (Case Study: Tehran Metropolis)

Assessment of the Relationships Between Leaf Characteristics with Air Pollutants: A Case Study on Oriental Plane (Platanus orientalisL.) and Caucasian Hackberry (Celtis caucasicaWilld.)

Contact Info

Product

Resources

About