Xingchi Zhou
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Xingchi Zhou has a total of 3 co-authors. Here are the top co-authors by number of shared publications:
- Shuangqiao Wang
Xi’an Meihang Remote Sensing Information Co., Ltd., Aerial Photogrammetry and Remote Sensing Group Co., Ltd., China National Administration of Coal Geology, No. 216 Shenzhou Fourth Road, Xi’an 710199, China
1 shared publication - Yantao Xi
School of Resources and Geosciences, China University of Mining and Technology, Daxue Road 1, Xuzhou 221116, China
1 shared publication - Yuanfan Zhang
School of Resources and Geosciences, China University of Mining and Technology, Daxue Road 1, Xuzhou 221116, China
1 shared publication
Latest Publications
- Open Access
Spatiotemporally Heterogeneous Effects of Urban Landscape Pattern on PM2.5: Seasonal Mechanisms in Urumqi, China
PM2.5 pollution presents a significant risk to urban habitability. The urban landscape pattern (ULP) serves as a crucial regulator that profoundly influences the spatiotemporal distribution features of PM2.5. Analysis of the driving mechanisms of the ULP is therefore essential for optimizing urban ecological spatial planning. However, the driving mechanism is dynamic and exhibits seasonal variations. This study selected four landscape metrics and four control variables, developed a geographically and temporally weighted regression (GTWR) model, and examined the spatiotemporal and seasonal effects of ULP on PM2.5 concentrations in the central urban area of Urumqi (CUA) from 2003 to 2023. The results show the following: (1) Over the past two decades, the four ULP metrics have shown an increasing trend in the CUA. (2) The spatial distribution of PM2.5 concentrations follows a latitudinal gradient, with higher concentrations observed in the northern regions and lower concentrations in the southern regions, initially increasing and then declining over time. (3) The driving mechanisms of ULP on PM2.5 exhibited significant variations across different locations and time scales. (4) Seasonal variations arise from pronounced meteorological contrasts and intensified pollution from central heating, which is particularly evident in central CUA.
Open AccessSpatiotemporally Heterogeneous Effects of Urban Landscape Pattern on PM2.5: Seasonal Mechanisms in Urumqi, China
PM2.5 pollution presents a significant risk to urban habitability. The urban landscape pattern (ULP) serves as a crucial regulator that profoundly influences the spatiotemporal distribution features of PM2.5. Analysis of the driving mechanisms of the ULP is therefore essential for optimizing urban ecological spatial planning. However, the driving mechanism is dynamic and exhibits seasonal variations. This study selected four landscape metrics and four control variables, developed a geographically and temporally weighted regression (GTWR) model, and examined the spatiotemporal and seasonal effects of ULP on PM2.5 concentrations in the central urban area of Urumqi (CUA) from 2003 to 2023. The results show the following: (1) Over the past two decades, the four ULP metrics have shown an increasing trend in the CUA. (2) The spatial distribution of PM2.5 concentrations follows a latitudinal gradient, with higher concentrations observed in the northern regions and lower concentrations in the southern regions, initially increasing and then declining over time. (3) The driving mechanisms of ULP on PM2.5 exhibited significant variations across different locations and time scales. (4) Seasonal variations arise from pronounced meteorological contrasts and intensified pollution from central heating, which is particularly evident in central CUA.