Land use/land cover change and its impact on surface urban heat island and urban thermal comfort in a metropolitan city

In this study, 167 land parcels of downtown Shanghai, China, were used to investigate the relationship between parcel-level land use/land cover (LULC) components and associated summertime intra-surface urban heat island (SUHI) effect, and further analyze the potential of mitigating summertime intra-SUHI effect through the optimized LULC components, by integrating a thermal sharpening method combining the Landsat-8 thermal band 10 data and high-resolution Quickbird image, statistical analysis, and nonlinear programming with constraints. The results show the remarkable variations in intra-surface urban heat island (SUHI) effect, which was measured with the mean parcel-level blackbody sensible heat flux in kW per ha (Mean_pc_BBF). Through measuring the relative importance of each specific predictor in terms of their contributions to changing Mean_pc_BBF, the influence of parcel-level LULC components on excess surface flux of heat energy to the atmosphere was estimated using the partial least square regression (PLSR) model. Analysis of the present and optimized parcel-level LULC components and their contribution to the associated Mean_pc_BBF were comparable between land parcels with varying sizes. Furthermore, focusing on the gap between the present and ideally optimized area proportions of parcel-level LULC components towards minimizing the Mean_pc_BBF, the uncertainties arising from the datasets and methods, as well as the implications for sustainable land development and mitigating the UHI effect were discussed.

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Spatiotemporal Analysis of Land Use/Land Cover and Its Effects on Surface Urban Heat Island Using Landsat Data: A Case Study of Metropolitan City Tehran (1988–2018)

Sustainability ◽

10.3390/su10124433 ◽

2018 ◽

Vol 10 (12) ◽

pp. 4433 ◽

Cited By ~ 21

Author(s):

Iman Rousta ◽

Md Sarif ◽

Rajan Gupta ◽

Haraldur Olafsson ◽

Manjula Ranagalage ◽

...

Keyword(s):

Land Use ◽

Land Cover ◽

Urban Heat Island ◽

Spatiotemporal Pattern ◽

Heat Island ◽

Land Use Land Cover ◽

Metropolitan City ◽

Open Land ◽

Urban Heat ◽

Normal Difference

This article summarized the spatiotemporal pattern of land use/land cover (LU/LC) and urban heat island (UHI) dynamics in the Metropolitan city of Tehran between 1988 and 2018. The study showed dynamics of each LU/LC class and their role in influencing the UHI. The impervious surface area expanded by 286.04 (48.27% of total land) and vegetated land was depleted by 42.06 km2 (7.10% of total land) during the period of 1988–2018. The mean land surface temperature (LST) has enlarged by approximately 2–3 °C at the city center and 5–7 °C at the periphery between 1988 and 2018 based on the urban–rural gradient analysis. The lower mean LST was experienced by vegetation land (VL) and water body (WB) by approximately 4–5 °C and 5–7 °C, respectively, and the higher mean LST by open land (OL) by 7–11 °C than other LU/LC classes at all time-points during the time period, 1988–2018. The magnitude of mean LST was calculated based on the main LU/LC categories, where impervious land (IL) recorded the higher temperature difference compared to vegetation land (VL) and water bodies (WB). However, open land (OL) recorded the highest mean LST differences with all the other LU/LC categories. In addition to that, there was an overall negative correlation between LST and the normal difference vegetation index (NDVI). By contrast, there was an overall positive correlation between LST and the normal difference built-up index (NDBI). This article, executed through three decadal change analyses from 1988 to 2018 at 10-year intervals, has made a significant contribution to delineating the long records of change dynamics and could have a great influence on policy making to foster environmental sustainability.

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Land Use/Land Cover changes dynamics and their effects on Surface Urban Heat Island in Bucharest, Romania

International Journal of Applied Earth Observation and Geoinformation ◽

10.1016/j.jag.2019.03.009 ◽

2019 ◽

Vol 80 ◽

pp. 115-126 ◽

Cited By ~ 14

Author(s):

Georgiana Grigoraș ◽

Bogdan Urițescu

Keyword(s):

Land Use ◽

Land Cover ◽

Urban Heat Island ◽

Land Cover Changes ◽

Heat Island ◽

Land Use Land Cover ◽

Urban Heat ◽

Surface Urban Heat Island

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Examining Land Use/Land Cover Change and the Summertime Surface Urban Heat Island Effect in Fast-Growing Greater Hefei, China: Implications for Sustainable Land Development

ISPRS International Journal of Geo-Information ◽

10.3390/ijgi9100568 ◽

2020 ◽

Vol 9 (10) ◽

pp. 568

Author(s):

Ying-ying Li ◽

Yu Liu ◽

Manjula Ranagalage ◽

Hao Zhang ◽

Rui Zhou

Keyword(s):

Land Use ◽

Land Cover ◽

Urban Heat Island ◽

Land Development ◽

Heat Island ◽

Land Use Land Cover ◽

Independent Variables ◽

Urban Heat ◽

Surface Urban Heat Island ◽

The Relationship

In this study, a retrospective analysis of the relationship between the land use/land cover (LULC) change and associated surface urban heat island (SUHI) effect in fast-growing Greater Hefei between 1995 and 2016 was performed. Our results reveal the heterogeneous patterns of LULC change. The concentric buffer-based urban–rural gradient analysis reveals that most of the newly emerging developed land occurred within downtown Hefei. In contrast, in three suburban municipality/county jurisdictions, the overall area change in the non-developed land was much lower, but the net increase in developed land is remarkable. Meanwhile, the spatiotemporal patterns of SUHI are in good agreement with that of the developed land, as evidenced by the notable increase in SUHI intensity (SUHII) levels and SUHI spatial extent (SUHISE) in response to the rapid urban expansion, particularly along transportation corridors. In addition, partial least square regression (PLSR) models indicate that the buffer-based predictors/independent variables are significantly related to the responses (SUHII and SUHISE), explaining approximately 61.3% of the variance in the SUHII and 79.8% of the variance in the SUHISE, respectively. Furthermore, the relative strength of the independent variables in determining the relationship was quantitatively examined. The findings of this study provide clear evidence for decision making for sustainable land development and mitigation of the SUHI effect.

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