Analyzing the interpretative ability of landscape pattern to explain thermal environmental effects in the Beijing-Tianjin-Hebei urban agglomeration

Dongchuan Wang; Zhichao Sun; Junhe Chen; Xiao Wang; Xian Zhang; Wei Zhang

doi:10.7717/peerj.7874

Analyzing the interpretative ability of landscape pattern to explain thermal environmental effects in the Beijing-Tianjin-Hebei urban agglomeration

PeerJ. 2019 Oct 7:7:e7874. doi: 10.7717/peerj.7874. eCollection 2019.

Authors

Dongchuan Wang^{1

2}, Zhichao Sun¹, Junhe Chen¹, Xiao Wang¹, Xian Zhang¹, Wei Zhang¹

Affiliations

¹ School of Geology and Geomatics, Tianjin Chengjian University, Tianjin, China.
² Tianjin Key Laboratory of Civil Structure Protection and Reinforcement, Tianjin, China.

Abstract

The development of the urban agglomeration has caused drastic changes in landscape pattern and increased anthropogenic heat emission and lead to the urban heat island (UHI) effect more serious. Therefore, understanding the interpretation ability of landscape pattern on the thermal environment has gradually become an important focus. In the study, the spatial heterogeneity of the surface temperature was analyzed using the hot-spot analysis method which was improved by changing the calculation of space weight. Then the interpretation ability of a single landscape and a combination of landscapes to explain surface temperature was explored using the Pearson correlation coefficient and ordinary least squares regression from different spatial levels, and the spatial heterogeneity of the interpretation ability was explored using geographical weighted regression under the optimal granularity (5 × 5 km). The results showed that: (1) The hot spots of surface temperature were distributed mainly in the plains and on the southeast hills, where the landscapes primarily include artificial landscape (ArtLS) and farmland landscape (FarmLS). The cold spots were distributed mainly in the northern hills, which are dominated by forest landscape (ForLS). (2) On the whole, the interpretative ability of ForLS, FarmLS, ArtLS, green space landscape pattern, and ecological landscape pattern to explain surface temperature was stronger, whereas the interpretative ability of grassland landscape and wetland landscape to explain surface temperature was weaker. The interpretation ability of landscape pattern to explain surface temperature was obviously different in different areas. Specifically, the ability was stronger in the hills than in the plain and plateau. The results are intended to provide a scientific basis for adjusting landscape structural, optimizing landscape patterns, alleviating the UHI effect, and coordinating the balance among cities within the urban agglomeration.

Keywords: Beijing-Tianjin-Hebei urban agglomeration; Landscape pattern; Spatial heterogeneity; Surface temperature; The interpretative ability.

Grants and funding

This research was funded by the Major Project of the National Natural Science Foundation of China (No. 41590841), the National Key Research and Development Plan (No. 2016YFC0503001), the Natural Science Foundation of Tianjin, China (No. 18JCYBJC90900), the Project of Scientific Research Plan of Tianjin Education Commission (No. 2018KJ164), and Tianjin Education Commission Research Project (No. 2016CJ20). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.