Evidence of the effect of an urban heat island on air quality near a landfill

Plocoste, Thomas; Jacoby-Koaly, Sandra; Molinié, Jack; Petit, R.H.

doi:10.1016/j.uclim.2014.03.007

Cited by 45 publications

(24 citation statements)

References 4 publications

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“…Detected at less than 3 km from the main municipal solid waste of the island, this surface inversion could potentially enhance VOCs concentrations emitted by the landfill in nearby urban areas [14].…”

Section: Resultsmentioning

confidence: 99%

Surface inversion characteristics in the nocturnal boundary layer of Guadeloupe and its impact on air quality

Plocoste

2015

WIT Transactions on Ecology and the Environment

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Dispersion of pollutants in the atmosphere strongly depends on its stability. In nocturnal stable conditions, occurrence of a surface thermal inversion can trap air pollutants near the ground. Such inversion develops after sunset consecutively to radiative cooling of the ground and is dissolved by convection in the morning. In literature, few studies deal with this phenomenon in the tropics. Through measurements carried out in Guadeloupe, we study the inversion depth and intensity from Météo France (MF) soundings at 7 am (11 UTC) in 2011 and 2012. We are also concerned here with its impact on air pollutants concentrations. We detect more cases of surface inversion at the beginning and at the end of the year. Annual global radiation and time of sunrise evolutions are key parameters for understanding its detection on MF soundings at 7 am. We find a surface inversion with average height of 121 m and average intensity of 1.8°C. When the night inversion is still visible on the early morning temperature sounding, simultaneous pollutants primary measurements always show higher concentrations. At sounding time we get on average, 23.3 µg.m-3 of NO concentration with inversion and 11.8 µg.m-3 without.

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Section: Resultsmentioning

confidence: 99%

Surface inversion characteristics in the nocturnal boundary layer of Guadeloupe and its impact on air quality

Plocoste

2015

WIT Transactions on Ecology and the Environment

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“…This local difference in temperatures creates a negative impact on people and environment because it hampers air quality, increases energy consumption, loses biological control, and affects people's health (Kikegawa et al, 2003;Grimmond, 2007;Meineke et al, 2014;Plocoste et al, 2014). Advances in thermal remote sensing, geographical information systems (GIS), and statistical methods have enabled the research community to characterize and examine UHI versus landscape relationship.…”

Section: Introductionmentioning

confidence: 99%

Characterizing the relationship between land use land cover change and land surface temperature

Tran

Pla

Carmona

et al. 2017

ISPRS Journal of Photogrammetry and Remote Sensing

522

187

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Exploring changes in land use land cover (LULC) to understand the urban heat island (UHI) effect is valuable for both communities and local governments in cities in developing countries, where urbanization and industrialization often take place rapidly but where coherent planning and control policies have not been applied. This work aims at determining and analyzing the relationship between LULC change and land surface temperature (LST) patterns in the context of urbanization. We first explore the relationship between LST and vegetation, man-made features, and cropland using normalized vegetation, and built-up indices within each LULC type. Afterwards, we assess the impacts of LULC change and urbanization in UHI using hot spot analysis (Getis-Ord Gi* statistics) and urban landscape analysis. Finally, we propose a model applying non-parametric regression to estimate future urban climate patterns using predicted land cover and land use change. Results from this work provide an effective methodology for UHI characterization, showing that (a) LST depends on a nonlinear way of LULC types; (b) hotspot analysis using Getis Ord Gi* statistics allows to analyze the LST pattern change through time; (c) UHI is influenced by both urban landscape and urban development type; (d) LST pattern forecast and UHI effect examination can be done by the proposed model using nonlinear regression and simulated LULC change scenarios. We chose an inner city area of Hanoi as a case-study, a small and flat plain area where LULC change is significant due to urbanization and industrialization. The methodology presented in this paper can be broadly applied in other cities which exhibit a similar dynamic growth. Our findings can represent an useful tool for policy makers and the community awareness by providing a scientific basis for sustainable urban planning and management.

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“…An UHI is more obvious under calm, cloudless conditions, where it depends greatly on the urban morphology and land use type [ 7 , 8 , 9 ]. UHIs are now considered major environmental problems in the 21st century [ 7 , 10 , 11 ], because the higher temperatures in UHIs can lead to increases in urban energy consumption [ 12 , 13 , 14 , 15 ], raised pollution levels [ 16 , 17 , 18 ], and they may even affect the habitability of cities and increase mortality [ 12 , 15 , 19 ]. Therefore, methods for mitigating UHIs are now a major research focus.…”

Section: Introductionmentioning

confidence: 99%

Effects of Land Use/Cover Changes and Urban Forest Configuration on Urban Heat Islands in a Loess Hilly Region: Case Study Based on Yan’an City, China

Wang

Zhang³

et al. 2017

IJERPH

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In this study Yan’an City, a typical hilly valley city, was considered as the study area in order to explain the relationships between the surface urban heat island (SUHI) and land use/land cover (LULC) types, the landscape pattern metrics of LULC types and land surface temperature (LST) and remote sensing indexes were retrieved from Landsat data during 1990–2015, and to find factors contributed to the green space cool island intensity (GSCI) through field measurements of 34 green spaces. The results showed that during 1990–2015, because of local anthropogenic activities, SUHI was mainly located in lower vegetation cover areas. There was a significant suburban-urban gradient in the average LST, as well as its heterogeneity and fluctuations. Six landscape metrics comprising the fractal dimension index, percentage of landscape, aggregation index, division index, Shannon’s diversity index, and expansion intensity of the classified LST spatiotemporal changes were paralleled to LULC changes, especially for construction land, during the past 25 years. In the urban area, an index-based built-up index was the key positive factor for explaining LST increases, whereas the normalized difference vegetation index and modified normalized difference water index were crucial factors for explaining LST decreases during the study periods. In terms of the heat mitigation performance of green spaces, mixed forest was better than pure forest, and the urban forest configuration had positive effects on GSCI. The results of this study provide insights into the importance of species choice and the spatial design of green spaces for cooling the environment.

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Evidence of the effect of an urban heat island on air quality near a landfill

Cited by 45 publications

References 4 publications

Surface inversion characteristics in the nocturnal boundary layer of Guadeloupe and its impact on air quality

Surface inversion characteristics in the nocturnal boundary layer of Guadeloupe and its impact on air quality

Characterizing the relationship between land use land cover change and land surface temperature

Effects of Land Use/Cover Changes and Urban Forest Configuration on Urban Heat Islands in a Loess Hilly Region: Case Study Based on Yan’an City, China

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