Exploratory analysis of the influence of landscape patterns on lake cooling effect in Wuhan, China

Zhou, Yangyang; Gao, Wei; Yang, Chen; Shen, You-Gen

doi:10.1016/j.uclim.2021.100969

Cited by 13 publications

(3 citation statements)

References 53 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Heterogeneity of the cooling effect existed among different water bodies according to previous efforts. Some studies found little cooling or even warming effect of urban water bodies 24 – 26 , but others reported significant cooling effect (up to 5.5 ℃) 16 , 27 , 28 . Literature indicates that the magnitude of the cooling effect of urban water bodies is affected by the size, shape, location, surrounding landscape and background climate (e.g., wind speed and direction) 25 , 27 , 29 – 31 .…”

Section: Introductionmentioning

confidence: 99%

“…Based on spatial form, blue space can be broadly categorized into two types: linear watercourses (e.g., rivers and streams) and polygonal water bodies (e.g., lakes, ponds, reservoirs and wetlands). The heterogeneity of cooling effect of different water bodies and the influencing factors have been widely discussed 28 , 31 , 32 . However, much less attention has been paid to the UCI effect of a single watercourse or river system in detail.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Exploring the spatial and seasonal heterogeneity of cooling effect of an urban river on a landscape scale

Zhou,

Wu,

Tao

2024

Sci Rep

View full text Add to dashboard Cite

Urban water bodies can effectively mitigate the urban heat island effect and thus enhance the climate resilience of urban areas. The cooling effect of different water bodies varies, however, the cooling heterogeneity of different sections of a single watercourse or river network is rarely considered. Based on various satellite images, geospatial approaches and statistical analyses, our study confirmed the cooling heterogeneity from spatial and seasonal perspectives of the Suzhou Outer-city River in detail in the urban area of Suzhou, China. The cooling effect of the river was observed in the daytime in four seasons, and it is strongest in summer, followed by spring and autumn, and weakest in winter. The combination of the width of the river reach, the width and the NDVI value of the adjacent green space can explain a significant part of the cooling heterogeneity of the different river sections in different seasons. Land surface temperature (LST) variations along the river are more related to the width of the river reach, but the variations of the cooling distance are more related to the adjacent green space. The cooling effect of a river reach could be enhanced if it is accompanied by green spaces. In addition, the cooling effect of a looping river is stronger on the inside area than on the outside. The methodology and results of this study could help orient scientific landscape strategies in urban planning for cooler cities.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Exploring the spatial and seasonal heterogeneity of cooling effect of an urban river on a landscape scale

Zhou,

Wu,

Tao

2024

Sci Rep

View full text Add to dashboard Cite

show abstract

“…However, owing to different space forms and types, blue-green spaces often have different impacts on residents. Zhou studied the impact of small and micro blue-green spaces on residents' social interaction [13]. The results showed that many blue-green space characteristics, such as accessibility, hydrophilicity, breadth of vision, diversity of facilities, sense of spatial belonging, and green vision rate are significantly related to social interaction.…”

Section: Introductionmentioning

confidence: 99%

Monetized Estimates of the Ecosystem Service Value of Urban Blue and Green Infrastructure and Analysis: A Case Study of Changsha, China

Gong¹,

Chang

2022

Sustainability

View full text Add to dashboard Cite

Urban blue-green infrastructure (BGI) forms the basis of a regional ecosystem. Quantitative calculations can identify the weak points of a typical ecological environment, which is helpful for providing a basis for the spatial planning and ecological environment protection of developing cities. Currently, assessment of BGI ecosystem services focuses on local temperature, climate, and entertainment aesthetics, and the integrity of ecological indicators needs improvement. The assessment is usually conducted within large blue-green areas such as parks and rivers, and street greening is typically ignored. Roof gardens and unmanaged blue-green spaces also have ecosystem service functions. Therefore, our study aimed to extract the basic design distribution of urban blue-green spaces more accurately and monetize the value of its ecosystem services. Changsha, one of the top ten ecologically competitive cities in China, was the research focus. First, four types of BGI, forest, grassland, wetland, and waterbody, were extracted using remote sensing images and ArcGIS10.8. Second, the adjusted value coefficient was used to quantify the service value and geographic spatial distribution of the four BGI ecosystems in monetary terms. The results showed that in 2020, the total economic value of ecosystem services (ESV) generated by BGI in the study area was CNY 36.25 billion. Among ecosystem services, forest land climate regulation and waterbody hydrological regulation accounted for the largest proportion, at CNY 6.543 and 15.132 billion, respectively. The urban center had the weakest climate regulation capacity, and the Xiangjiang River Basin had the strongest hydrological regulation capacity. The urban center had the lowest ESV, thus requiring the attention of urban planners in the future. This study evaluated and optimized the distribution of BGI in Changsha according to the ESV of the existing BGI to help improve the ESV of the city center and create a green, ecological, and healthy city.

show abstract

Assessment of urban blue-green space cooling effect linking maximum and accumulative perspectives in the Yangtze River Delta, China

Cui,

Guo,

et al. 2023

Environ Sci Pollut Res

View full text Add to dashboard Cite

Exploratory analysis of the influence of landscape patterns on lake cooling effect in Wuhan, China

Cited by 13 publications

References 53 publications

Exploring the spatial and seasonal heterogeneity of cooling effect of an urban river on a landscape scale

Exploring the spatial and seasonal heterogeneity of cooling effect of an urban river on a landscape scale

Monetized Estimates of the Ecosystem Service Value of Urban Blue and Green Infrastructure and Analysis: A Case Study of Changsha, China

Assessment of urban blue-green space cooling effect linking maximum and accumulative perspectives in the Yangtze River Delta, China

Contact Info

Product

Resources

About