居住区植物绿量与其气温调控效应的关系
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国家自然科学基金项目(41071117,40830747);深圳市"百人计划"资助项目


Research of the vegetation's cooling effect in city's residential quarter
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    摘要:

    选取了深圳市3个居住小区,在对各小区植被分布调查的基础上,各选取20m×20m样区25个,统计了每个样区内植物的绿化三维量作为绿地量化指标。在实地气象观测的基础上,对温度与样区绿化三维量值进行了非线性回归,结果表明20m×20m样区内绿化三维量与植物的降温能力之间具有很高的拟合精度(Adj. R2=0.88),据此提出深圳市居住小区20m×20m范围内绿化三维量的合理指标。同时,通过对样区内不同结构植物绿化三维量与温度的相关性分析,得出乔木的遮阳作用是植物降温效应的主要影响因子。因此,若要有效发挥植物降温效应,城市居住区绿化应以乔木为主,同时在特定范围内(如20m×20m)满足植物绿量的要求。

    Abstract:

    The cooling effect is an important ecosystem service provided by urban green space. However, the quantitative information linking vegetation type and cover with cooing effect is lacking in Southern China cities such as Shenzhen, where summer heat is extremely strong. Here we chose three residential quarters in Shenzhen, and divided each residential quarter into twenty-five 20 m×20 m quadrats to study the relationship between near-surface air temperature and green space vegetation characteristics, including the size of green space, the dominance of trees in the overall vegetation composition. We evaluated the Tridimensional Green Biomass (TGB) in each 20 m×20 m quadrat according to the method of reference literature based on the field vegetation survey of the selected residential quarters. We also collected meteorological data at the centre of each quadrat from late August to early September. To avoid the influence of light exposure, the meteorological observation points were selected under the shade of vegetation in each quadrat. In each residential quarter, meteorological observations were taken three times a day from 12:00 to 13:00 in two consecutive days, and we took the average of the six results to present the general microclimate conditions of the time period from 12:00 to 13:00. Finally, using 25 quadrats of each residential quarter as sample units, we carried out a statistical analysis to find out the relationship between vegetation amount (TGB) in quadrat and the average temperature. In particular, we fitted a non-linear curve between T and TGB, and between the cooling effect (ΔT) and TGB.Our results showed that: (1) logistic curve can accurately describe the relationship between TGB and temperature, and the relationship between TGB and the cooling effect (ΔT), with adjusted R2 of 0.88, suggesting that the cooling effect is strongly related to the amount of all vegetation in the 20 m×20 m area. And if the vegetation cooling effect is to be considered in a residential green-space design, total green space and amount need be considered.(2) Our calculations showed that when the urban heat effect is high (temperature is from 36℃ to 39℃; relative humidity is from 52.9% to 65.4%), TGB in quadrat must reach 200 m3 to exert appreciable cooling effect; and when TGB is more than 300m3, the cooling effect would reach its maximum.(3) The significant correlation between ΔT and TGB of different vegetation composition showed that the TGB of trees is related to ΔT, but the TGB of shrub-grass was not, suggesting that the shading effect from trees plays a major role in the overall cooling effect of the vegetation.In summery, by examining the relationship between vegetation amount and the cooling effect of the vegetation, we acquired the quantitative information on how to design green space in urban residential area so that desired cooling effect can be achieved. We suggest that in green-space design in Shenzhen, the area must be large enough (20 m×20 m), and the green space must be dominated by trees.

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李英汉,王俊坚,李贵才,曾辉.居住区植物绿量与其气温调控效应的关系.生态学报,2011,31(3):830~838

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