RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN >> 2022, Vol. 31 >> Issue (9): 1938-1952.doi: 10.11870/cjlyzyyhj202209007

Previous Articles     Next Articles

Cooling Effect of Urban Wetlands and Its Influencing Factors Under Different Meteorological Conditions in Wuhan,China

ZHANG Li-wen1, Chen Ying-yi1, Wang Kai1,2, LIANG Zhi-chen1, LIANG Yi-Tong   

  1. (1.Wuhan Regional Climate Center, Wuhan 430074, China; 2. Jinsha National Atmospheric Background Station, Xianning 437599, China)
  • Online:2022-09-20 Published:2022-09-29

Abstract: Understanding climatic effect characteristics and influencing factors of urban wetlands assists construction scheme drafting of waterfront city climatic carrying capacity and adaptability optimization. In this study,Landsat-8 OLI/TIRS and high resolution GF-1 satellite images covering 18 typical urban wetland patches in Wuhan,China were collected to retrieve land surface temperature and other parameters during midsummer period of 2013-2020, in order to quantitatively evaluate the cooling effect of urban wetland patches including main river, small rivers, lakes and waterscape parks using cooling range (Lmax), amplitude of temperature drop (△Tmax),temperature gradient (Gtemp) and area efficiency of cooling intensity(Earea)based on GIS buffer analysis. In addition , potentials impacts of climatic characteristics and synoptic conditions on cooling effect were analyzed using Meiyu precipitation, midsummer extreme high temperature and urban summer dominant wind. The results show below: (1) Different types of urban wetlands have different optimal forms of cooling effect. The main river such as Yangtze River is strongest in Lmax and △Tmax, the lakes are largest in Gtemp, while the small rivers and waterscape parks are largest in Earea. (2)The cooling effect of rivers is mainly determined by their own feathers such as river length and surface water temperature, while the cooling effect of lakes and waterscape parks are mainly determined by the shape index, surface temperature, water and vegetation coverage and surrounded construction land. (3) The disparity of meteorological conditions is one of the most important causes of annual urban wetland cooling effect variances, but it has different influences on different kinds of wetlands and cooling effect indexes. The more precipitation in Meiyu period or higher temperature in midsummer period, the more prominent cooling effects of urban wetlands of the year are. Abundant precipitation and high temperature conditions promote greater improvements in △Tmax,Gtemp and Earea than Lmax and have larger influences on small rivers and waterscape parks than that of major river and lake wetlands. Only rivers that are parallel to the prevailing wind direction have broaden Lmax.

No related articles found!
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
[1] LIU Bing-jun,SHAO Dong-guo,YANG Shu-ming,CAO Wei-feng. THE MODEL AND METHOD OF THE MIDDLE AND LOWER BASINS OF HANJIANG RIVER WATER RESOURCE ALLOCATION BASED ON GRAY RELATIONAL ENTROPY[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2005, 14(6): 699 -703 .
[2] LIN Zhongrong1, ZHENG Yi1, XIANG Renjun2, LIU Zhan2, ZHANG Qingmei2, HAN. SIMULATION OF THE NONPOINT SOURCES LOAD OF HEAVY METALS AND ITS UNCERTAINTY ANALYSIS——A CASE STUDY OF CADMIUM POLLUTION AT THE XIANGJIANG RIVER IN THE ZHUZHOU CITY[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2012, 21(9): 1112 .
[3] AN Yu-jing, LIU Jing-yu, LI Ning, QIAO Dun-dun, LIU Meng-li. Railway Network Accessibility and Urban Economic Linkages in Central Plains city group[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2018, 27(09): 1947 -1957 .
[4] . Coupling Coordination Development between Ecological Civilization Construction and Urbanization in Yangtze River Delta Urban Agglomerations[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, , (): 0 .
[5] . Structural characteristics and formation mechanism of high speed rail network in Yangtze River Delta[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, , (): 0 .
[6] WANG Lei, LI Cheng-li.  

The Effect of Multi-Center Structure of Urban Agglomerations in Central China [J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2018, 27(10): 2231 -2240 .

[7] . On the Spatial Relationship between Land Use Transition and Urbanization in the Middle Yangtze River Urban Cluster[J]. , , (): 0 .
[8] ZHAO Yi, XU Xu-kan, , LI Xiao-juan. Evaluation of Water environmental System Vulnerability in Jiangsu  Province Based on Weight-Varying Gray Cloud Model[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2018, 27(11): 2463 -2471 .
[9] REN Juan, WANG Jianli, YANG Pingheng, ZHAN Zhaojun, . Geochemical Variation and Its Influence Factors in A Karst Tourist Attraction of Subalpine Area of Chongqing[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2018, 27(11): 2548 -2557 .
[10] KONG Feng, FANG Jian, SUN Shao, WANG Pin, LV Li-li, . Spatial Variability of Different Return Period of Rainfall Intensity and Variation Patterns of Heavy Rainfall in China from 1961 to 2016 Based on POT Sampling[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2019, 28(01): 144 -156 .