REVIEW PAPER
A Review on the Use of Landscape Indices to Study
the Effects of Three-Dimensional Urban Landscape
Patterns on Haze Pollution in China
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1
Jangho Architecture College, Liaoning Provincial Key Laboratory of Urban and Architectural Digital Technology,
Northeastern University, Shenyang 110819, China
2
Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology,
Chinese Academy of Sciences, Shenyang 110016, China
Submission date: 2020-10-01
Final revision date: 2020-11-23
Acceptance date: 2020-11-26
Online publication date: 2021-04-08
Publication date: 2021-06-09
Corresponding author
Wen Wu
JangHo Architecture College, Liaoning Provincial Key Laboratory of Urban and Architectural Digital Technology, Northeastern University, China
Pol. J. Environ. Stud. 2021;30(4):2957-2967
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ABSTRACT
The interactions between landscape patterns and ecological processes have become more complex
with rapid urbanization. In China, urban haze pollution has become increasingly apparent. Elucidating
the relationship between urban landscape patterns and haze effects is essential for understanding the
formation and development of haze and implementing effective mitigation measures. In-depth studies
of the effects of three-dimensional urban landscape patterns on haze are hindered by data limitations,
unreliable methods, and complex processes. This study reviews the use of landscape indices, with the
aim of advancing understanding of the impacts of three-dimensional urban landscape patterns on the
distribution and diffusion of haze pollution. The literature is examined to assess the status and progress
of research on the use of landscape indices, and a summary of case studies in which landscape indices
have been used in haze pollution modeling is presented. Furthermore, a feasible perspective based on
a landscape pattern index is presented. In light of this review focusing on the relationship between
urban landscape patterns and processes, new approaches for determining the spatial and temporal
heterogeneity of haze distribution and diffusion and haze-prone areas, and for optimizing landscape
patterns, are identified.