Impacts of land cover change on cooling effect of waterbodies: Spatiotemporal variations and drivers in Wuhan from 1990 to 2022

• Cooling distance and intensity of two types of waterbodies quantified and compared. • Multi-year changes in waterbodies and cooling analyzed per season. • Change in shape of a waterbody rather than area was dominant for cooling effect. • Land cover change within waterfronts impacted the cooling effect of waterbody. Previous studies quantified the cooling effect of urban waterbodies with temperatures at one point in time, linking waterbodies’ characteristics and land cover to cooling effects. This study goes one step further by relating the impact of land cover changes within the waterfront to changes in the cooling effect. It quantifies the changes in waterbody size and shape and distinguishes between flowing and standing water and cooling effects in summer and winter. The city of Wuhan, China, is an interesting case to investigate the cooling effects of waterbodies because it is both highly urbanized and has numerous waterbodies. Land surface temperature (LST) and land use/cover data from 1990/91 and 2022 were utilized. Multiple regressions were employed to quantify the cooling effect and identify contributing factors. The results show that the cooling distances and cooling intensities of waterbodies vary considerably. Increasing the waterbody shape index and the mean shape index of surrounding cropland, so more irregular shapes with longer interfaces between water and land, both lead to increases in cooling effects. Unexpectedly, the changes in the size of the waterbodies, as such, are not significant. Regression models for the cooling effect of flowing water overall show higher explanatory value (adjusted R 2 between 0.13 and 0.74) compared to standing water. These results can provide quantitative guidance for blue landscape planning for UHI effect mitigation.

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Publication Details

Journal
Ecological Indicators
Published
2025-08-20
DOI
https://doi.org/10.1016/j.ecolind.2025.113902
Citations
2
Primary Topic
Urban Heat Island Mitigation
Type
article
Field-Weighted Citation Impact
1.60

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article

Impacts of land cover change on cooling effect of waterbodies: Spatiotemporal variations and drivers in Wuhan from 1990 to 2022

Richard Sliuzas, Nina Schwarz, Muqian ZHANG, Zhong Zhang et al.
2 citations
Ecological Indicators
Urban Heat Island Mitigation
1.60
article

Impacts of land cover change on cooling effect of waterbodies: Spatiotemporal variations and drivers in Wuhan from 1990 to 2022

Richard Sliuzas, Nina Schwarz, Muqian ZHANG, Zhong Zhang, Jian Gong
article en
2 citations

Abstract

• Cooling distance and intensity of two types of waterbodies quantified and compared. • Multi-year changes in waterbodies and cooling analyzed per season. • Change in shape of a waterbody rather than area was dominant for cooling effect. • Land cover change within waterfronts impacted the cooling effect of waterbody. Previous studies quantified the cooling effect of urban waterbodies with temperatures at one point in time, linking waterbodies’ characteristics and land cover to cooling effects. This study goes one step further by relating the impact of land cover changes within the waterfront to changes in the cooling effect. It quantifies the changes in waterbody size and shape and distinguishes between flowing and standing water and cooling effects in summer and winter. The city of Wuhan, China, is an interesting case to investigate the cooling effects of waterbodies because it is both highly urbanized and has numerous waterbodies. Land surface temperature (LST) and land use/cover data from 1990/91 and 2022 were utilized. Multiple regressions were employed to quantify the cooling effect and identify contributing factors. The results show that the cooling distances and cooling intensities of waterbodies vary considerably. Increasing the waterbody shape index and the mean shape index of surrounding cropland, so more irregular shapes with longer interfaces between water and land, both lead to increases in cooling effects. Unexpectedly, the changes in the size of the waterbodies, as such, are not significant. Regression models for the cooling effect of flowing water overall show higher explanatory value (adjusted R 2 between 0.13 and 0.74) compared to standing water. These results can provide quantitative guidance for blue landscape planning for UHI effect mitigation.

Ecological IndicatorsVol. 178
Ministry of Education of the People's Republic of China (CN), Ministry of Natural Resources (CN), China University of Geosciences (CN), University of Twente (NL)
National Natural Science Foundation of China, China Scholarship Council
Climate action
Openalex Percentile: Top 16%
Urban Heat Island Mitigation
1.60
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