Urban blue-green space planning based on thermal environment simulation: A case study of Shanghai, China

Du, Han; Cai, Yongli; Zhou, Fengqi; Jiang, Hong; Jiang, Wuyi; Xu, Yanqing

doi:10.1016/j.ecolind.2019.105501

Cited by 73 publications

(44 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The coordinated optimization of the quantity, structure and spatial distribution of land use is key to the rational use of ecological land and the achievement of landscape ecological security 9 . Scholars have studied urban land at different scales and from different perspectives, such as the distribution of urban land use 10 , urban vegetation coverage 11 , urban blue-green space 12 , and urban impervious surfaces 13 , 14 . Regarding the impacts of urban land use/cover change on the surrounding environment, scholars have studied the impacts of urban vegetation and water bodies on urban heat islands 15 , 16 , the impacts of urban blue-green space on the health and welfare of urban residents 17 , and the impacts of urban land change on biodiversity 18 .…”

Section: Introductionmentioning

confidence: 99%

Spatial–temporal dynamics and driving factor analysis of urban ecological land in Zhuhai city, China

Zhang

2020

Sci Rep

View full text Add to dashboard Cite

Ecological land is a type of land that has considerable ecological value. Understanding the evolution of urban ecological land in Zhuhai, China, holds great significance for revealing the evolution of ecological land in the Dawan District of southern China. We explored the temporal and spatial variation in urban ecological land in Zhuhai using the transformation matrix, equivalent ecological land, landscape index and ecological land center of gravity migration methods. Multivariate logistic regression was used to analyze the mechanism of ecological land change, and a transition probability map of the ecological land in the study area was drawn. The results showed the following. (1) From 1991 to 2018, the area of ecological land in Zhuhai city continuously decreased, with a reduction in area of 274.8 km2, or 32.3%. Sharp changes mainly occurred from 1991 to 2000. (2) The ecological land in the study area has gradually become fragmented, and the degree of landscape heterogeneity has increased. Affected by the expansion of the outer edge of the city to the southwest and the construction of ecological land within the city, the center of gravity of the ecological land has shifted to the northeast by 1346 m. (3) The elevation, slope, distance from built-up land and growth rate of built-up land are important factors influencing the transformation of ecological land. In the future, rivers and shallow coastal waters, tidal flats, and grasslands in the study area have the highest probability of transformation. The Jinwan District and Xiangzhou District will face severe ecological land protection pressure. The method of spatial–temporal analysis of urban ecological land developed in this paper can be applied in similar studies on other cities, and the results obtained for Zhuhai, China, have reference value for future urban planning and ecological protection work.

show abstract

Section: Introductionmentioning

confidence: 99%

Spatial–temporal dynamics and driving factor analysis of urban ecological land in Zhuhai city, China

Zhang

2020

Sci Rep

View full text Add to dashboard Cite

show abstract

“…The ecological functions of urban blue-green spaces have become a popular topic in geography, urban planning, environmental science, and urban ecology in recent years [ 1 , 2 , 3 , 4 ]. The cooling effect of urban blue-green spaces is a very significant function and plays a critical role in mitigating urban heat islands (UHIs) [ 5 , 6 , 7 ].…”

Section: Introductionmentioning

confidence: 99%

Comparative Study on the Cooling Effects of Green Space Patterns in Waterfront Build-Up Blocks: An Experience from Shanghai

Jiang

Shi

2020

IJERPH

View full text Add to dashboard Cite

Different structural patterns of waterfront green space networks in built-up areas have different synergistic cooling characteristics in cities. This study’s aim is to determine what kinds of spatial structures and morphologies of waterfront green spaces offer a good cooling effect, combined with three different typical patterns in Shanghai. A multidimensional spatial influence variable system based on the cooling effect was constructed to describe the spatial structural and morphological factors of the green space network. The ENVI-met 4.3 software, developed by Michael Bruse at Bochum, German, was used to simulate the microclimate distribution data, combined with the boosted regression tree (BRT) model and the correlation analysis method. The results showed that at the network level, the distance from the water body and the connectivity of green space had a stronger cooling correlation. The orientation of green corridors consistent with a summer monsoon had larger cooling effect ranges. In terms of spatial morphology, the vegetation sky view factor (SVF) and Vegetation Surface Albedo (VSAlbedo) had an important correlation with air temperature (T), and the green corridor with a 20–25 m width had the largest marginal effect on cooling. These results will provide useful guidance for urban climate adaptive planning and design.

show abstract

“…Because of Yuzhong District’s crucial political and economic role in the Chongqing municipality, it is not practical to transform the impervious surface area into vegetation. However, urban planners can optimize limited urban green space by making intentional decisions regarding distances from trees to buildings, tree species selection, and shaping the height, form and structure of the urban tree canopy [57,58,59], etc. At the same time, urban planners can gradually transfer part of Yuzhong District’s urban function to proximate districts.…”

Section: Discussionmentioning

confidence: 99%

Analysis of the Spatial and Temporal Evolution of Land Cover and Heat Island Effects in Six Districts of Chongqing’s Main City

Lang

et al. 2019

Sensors

View full text Add to dashboard Cite

The urban heat island effect has always been one of the hottest issues in urban development. In this study, Landsat images from the summers of 2001, 2004, 2009, 2014 and 2018 were used to identify land cover type in six districts of Chongqing’s main city. Land cover was categorized as water, vegetation or impervious surface with the object-oriented method. Land surface temperature (LST) data was calculated with the atmospheric radiation transfer equation method, and was then divided into different heat island intensity grades. Next, the spatial and temporal changes in land cover type and heat island effect were analyzed in the six districts. Center migration analysis and heat island coefficients were used to quantitatively reflect the spatiotemporal evolution relationship between land cover and heat island effect. All six districts exhibited a trend of expanding impervious surface, with a 419.38% increase from 2001 to 2018, and shrinking vegetation, with a 17.81% decrease from 2001 to 2018. Also from 2001 to 2018, Yuzhong District had the most significant heat island effect, with a heat island coefficient 0.35 higher than the mean value of the whole study area. The impervious surface center migrated in different directions in each district. Both the direction and the corresponding velocity of the impervious surface and heat island centers were tightly correlated, with a correlation coefficient of 0.53. Relative heat island coefficients (the difference from the mean) of water ranged from −2.08 to −1.17 in different districts. That of impervious surface ranged from 1.60 to 1.93, and that of vegetation ranged from −0.22 to 1.09. The internal heterogeneity of land cover and heat island effect in Chongqing’s main city was huge. This study quantitatively analyzed the evolution of the heat island effect in the study area to help provide each district with some targeted suggestions for future urban planning.

show abstract

Urban blue-green space planning based on thermal environment simulation: A case study of Shanghai, China

Cited by 73 publications

References 27 publications

Spatial–temporal dynamics and driving factor analysis of urban ecological land in Zhuhai city, China

Spatial–temporal dynamics and driving factor analysis of urban ecological land in Zhuhai city, China

Comparative Study on the Cooling Effects of Green Space Patterns in Waterfront Build-Up Blocks: An Experience from Shanghai

Analysis of the Spatial and Temporal Evolution of Land Cover and Heat Island Effects in Six Districts of Chongqing’s Main City

Contact Info

Product

Resources

About