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Characteristics of urban heat island (UHI) source and sink areas in urban region of Shenyang

机译:沉阳市区城市热岛(UHI)源区和水槽区的特点

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Based on the Landsat TM image on August 12, 2010, a 4 × 4 fishnet with 16 grids was built, and each grid was 3.5 km× 3.5 km. The changes of the LST (land surface temperature), urban heat island (UHI) source and sink areas and their corresponding percentages in the 16 grids were analyzed in order to find the optimum configuration of source and sink areas. The relationships between LST and remote sensing indices such as NDVI, NDBI and MNDWI, LST and LI (UHI intensity index), LI and remote sensing indices were discussed. The results indicated that the percentage of UHI source area is greater than that of UHI sink area in each grid. The 16 grids are divided into 5 groups according to the percentage of source area. There are 7 grids in the first group with greater 90.00%, 3 grids in the second group with 80.00%–89.99%, 2 grids in the third group with 70.00%–79.99%, 3 grids in the fourth group with 60.00%–69.99%, 1 grid in the fifth group with fewer 60.00%. The mean LST in the source area, sink area and the whole grid decreases with the decreasing of source area percentage, especially for LST in the sink area. The NDVI and NDBI values in each grid are fewer than 0.100 and greater than 0.100 of the first and second groups respectively, and their corresponding LI values are lower than 1.00. It suggests that they can enhance the urban heat island effect. The NDVI values in the two grids with 70.84% and 78.11% are greater than 0.100, the NDBI values are 0.030 and 0.106, and the corresponding LI values are 1.05 and 0.94. The effects of the third group on urban heat island are complex. The percentage of source area is fewer than 70% in the fourth and fifth groups, and their corresponding LI values are greater 1.00, which suggests that they can reduce the UHI effect. Analysis of relationships between indices showed that the relation of the LST is in a negative correlation with NDVI and is in a positive correlation with NDBI, while that of- the LI is positive with NDVI and is in a negative correlation with NDBI. The MNDWI has no significant correlations with LST and LI. According to the above analysis, the study plot can reduce or enhance the UHI effect when the percentage of UHI source area is fewer or greater than the 70%, while it neither reduce nor enhance the UHI effect when the percentage of UHI source area is about 70%. Thus, the 70% of the UHI source area should be considered as a reference for urban planning in order to reduce the UHI effect.
机译:基于2010年8月12日的Landsat TM图像,建造了4×4个渔网,建成了16个网格,每个网格为3.5公里×3.5公里。分析了LST(陆地表面温度),城市热岛(UHI)源和沉降区的变化及其16个网格中的相应百分比,以找到源和水槽区域的最佳配置。讨论了LST和遥感指标的关系,如NDVI,NDBI和MNDWI,LST和LI(UHI强度指数),LI和遥感指数。结果表明,UHI源区的百分比大于每个网格中的UHI沉积区域的百分比。根据源区的百分比,16个网格分为5组。第一个组中有7个网格,第二组中有70.00%,第二组网格,第三组中有80.00%-89.99%,2个网格,第四组3个网格,第四组,60.00%-69.99第五组中的%,1个网格,较少60.00%。源区,下沉区域和整个网格中的平均LST随着源区百分比的降低而降低,特别是在水槽区域中的LST。每个网格中的NDVI和NDBI值分别的少于0.100且大于0.100,并且它们的相应LI值低于1.00。它表明他们可以增强城市热岛的影响。两个网格中的NDVI值,70.84%和78.11%大于0.100,NDBI值为0.030和0.106,相应的Li值为1.05和0.94。第三组对城市热岛的影响是复杂的。源极面积的百分比在第四组和第五组中少于70%,它们的相应LI值大1.00,这表明它们可以降低UHI效应。索引之间的关系分析表明,LST的关系与NDVI的负相关性,并且与NDBI具有正相关,而LI与NDVI呈阳性,并且与NDBI具有负相关性。 MNDWI与LST和LI没有显着的相关性。根据上述分析,研究曲线可以减少或提高UHI效应,当UHI源区的百分比较少或大于70%时,虽然在UHI源区的百分比上,但既不减少也没有增强UHI效应70%。因此,70%的UHI源区应被视为城市规划的参考,以减少UHI效应。

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