长江流域资源与环境 >> 2022, Vol. 31 >> Issue (9): 1938-1952.doi: 10.11870/cjlyzyyhj202209007

• 自然资源 • 上一篇    下一篇

不同气象条件下的城市湿地夏季降温效应及其影响因素 ——以武汉为例

张丽文1,陈滢伊1,王  凯1,2,梁之辰1,梁益同1*   

  1. (1.武汉区域气候中心,湖北 武汉 430074; 2.金沙国家大气本底站,湖北 咸宁 437599)
  • 出版日期:2022-09-20 发布日期:2022-09-29

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

摘要: 理解城市湿地的气候效应特征及其影响因素,有助于制定滨水城市优化气候承载力和适应力建设方案。鉴于此,选择武汉市区18个典型城市湿地斑块为研究对象,利用2013~2020年盛夏期Landsat8 OLI/TIRS和GF-1数据反演的地表温度和其他影响参数,运用GIS缓冲区空间分析方法定量评估了武汉市四类城市湿地(主要河流、细小河流、湖泊湿地及水景公园)的夏季降温影响范围、降温强度、降温梯度及降温面积效率特征,并参考梅雨期累计降水量、盛夏期气温、夏季主导风和卫星过境日气象条件,探究了降雨、高温及风环境条件对城市湿地夏季降温效应的影响。结果表明:(1)不同类型城市湿地的最优降温效应指标不同,其中以长江为代表的主要河流有最强的降温影响范围和降温强度,湖泊湿地对周边环境具有单位距离下较大的降温幅度,而细小河流和水景公园则在降温面积效率上表现更明显。(2)河流湿地降温效应主要由河流长度和表层水温等自身属性决定,而湖泊湿地及水景公园降温效应则主要受到形状指数、湿地斑块地表温度、水体和植被覆盖水平、湿地周边建设用地等属性及周边环境因子的共同影响。(3)气象条件差异是影响城市湿地降温效应年际变化的重要原因之一,但对不同降温效应指标和不同湿地类型影响不同。梅雨期降雨偏多或盛夏期气温偏高,对降温强度、降温梯度及降温面积效率的积极影响强于降温影响距离,对细小河流和水景公园降温效应的积极影响大于主要河流和湖泊湿地。夏季主导风向只对与之平行河段的降温影响范围上起促进作用。

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.

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