Department of Geography, Obafemi Awolowo University, Ile-Ife, Nigeria.
Department of Geography and Regional Research, University of Vienna, Universitätsstraße 7/5, 1010, Vienna, Austria.
Sci Rep. 2021 Oct 15;11(1):20537. doi: 10.1038/s41598-021-99693-z.
This study aims at assessing variations and changes in the intensity of urban land surface temperature (LST) over four major cities in different ecological zone. The study intends to examine the contributions of different land cover types and variation in ecological locations on the intensity of urban LST. Remote Sensing and GIS techniques were used to measure the extent of the LST intensity over different cities and implications of land use/land cover (LULC) changes, using the Landsat TM/ ETM from 1984 to 2012, and Landsat OLI/TIRS from 2015 to 2019. The contributions of different landscape types to urban LST intensity were examined, using contribution index (CI) and Landscape index (LI) methods while the relationship between urban LST, and changes in LULC was examined using zonal statistics. The results revealed that the spatial and temporal changes in the LULC have greatly influenced the LST in the cities, though this varies from identified LULC. Changes in estimated LST vary from 0.12 to 1 °C yearly, while the changes are much intensified in the core section of the cities. The contribution of each landscapes varies, - 0.25 < CI > - 1.17 for sink landscape and 0.24 < CI > 1.05 for source landscape. The results further reveal that as LI ≥ 1, the contribution of source landscape to intensity of LST is lesser than that of sink landscape, but LI ≤ 1 shows that source landscapes contribute more to intensity of LST than sink landscapes. This might be as a result of changes in the vegetation cover between 1984 and 2019 as revealed in LULC change. Loss in the vegetal cover is anthropogenically induced leading to an increase in built-up and impervious surfaces resulted in mean monthly and yearly temperature changes. It is observed that the core and densities areas of cities witnessed higher LST compared with the rural area. The study concludes that different types of land cover within an urban area can affect the spatial pattern of urban LST, though this varies from one ecological zone to another and distribution of LST intensity in the urban area depends on its changes LULC. Thus, as cities' population is expected to keep expanding there is a need to establish more viable linkages between the ever-growing population and land use patterns. The major findings from this study are useful in informing policymakers of the need to promote more sustainable urban development in the cities.
本研究旨在评估四个不同生态区主要城市的城市地表温度(LST)强度变化和差异。本研究旨在研究不同土地覆盖类型和生态位置变化对城市 LST 强度的贡献。本研究使用遥感和 GIS 技术,利用 1984 年至 2012 年的陆地卫星 TM/ETM 以及 2015 年至 2019 年的陆地卫星 OLI/TIRS,测量不同城市的 LST 强度范围以及土地利用/土地覆盖(LULC)变化的影响。本研究使用贡献指数(CI)和景观指数(LI)方法来研究不同景观类型对城市 LST 强度的贡献,同时使用分区统计方法来研究城市 LST 与 LULC 变化之间的关系。结果表明,城市土地利用/土地覆盖的时空变化极大地影响了城市的 LST,尽管这种影响因确定的土地利用/土地覆盖而异。估计的 LST 变化每年变化 0.12 至 1°C,而在城市核心区域,这种变化更为剧烈。每个景观的贡献不同,汇景观的 CI 为 -0.25<CI< -1.17,源景观的 CI 为 0.24<CI<1.05。结果还表明,当 LI≥1 时,源景观对 LST 强度的贡献小于汇景观,而 LI≤1 时,源景观对 LST 强度的贡献大于汇景观。这可能是由于 1984 年至 2019 年期间土地利用/土地覆盖变化所导致的植被覆盖变化。植被覆盖的减少是人为引起的,导致建成区和不透水面增加,导致月平均和年平均温度变化。研究发现,与农村地区相比,城市的核心和密度区域的 LST 更高。本研究得出结论,城市内部不同类型的土地覆盖会影响城市 LST 的空间格局,尽管这种影响因生态区而异,城市地区的 LST 强度分布取决于其土地利用/土地覆盖的变化。因此,随着城市人口的预期增长,有必要在不断增长的人口和土地利用模式之间建立更可行的联系。本研究的主要发现可为决策者提供有关促进城市可持续发展的必要性的信息。