Version 1
: Received: 14 August 2023 / Approved: 14 August 2023 / Online: 15 August 2023 (03:02:23 CEST)
How to cite:
Chen, Y.; Zhen, W.; Li, Y.; Zhang, N.; Shi, Y.; Shi, D. Spatiotemporal Analysis and Multifactor Driving Mechanisms of Urban Blue Space in Beijing Using Remote Sensing. Preprints2023, 2023081061. https://doi.org/10.20944/preprints202308.1061.v1
Chen, Y.; Zhen, W.; Li, Y.; Zhang, N.; Shi, Y.; Shi, D. Spatiotemporal Analysis and Multifactor Driving Mechanisms of Urban Blue Space in Beijing Using Remote Sensing. Preprints 2023, 2023081061. https://doi.org/10.20944/preprints202308.1061.v1
Chen, Y.; Zhen, W.; Li, Y.; Zhang, N.; Shi, Y.; Shi, D. Spatiotemporal Analysis and Multifactor Driving Mechanisms of Urban Blue Space in Beijing Using Remote Sensing. Preprints2023, 2023081061. https://doi.org/10.20944/preprints202308.1061.v1
APA Style
Chen, Y., Zhen, W., Li, Y., Zhang, N., Shi, Y., & Shi, D. (2023). Spatiotemporal Analysis and Multifactor Driving Mechanisms of Urban Blue Space in Beijing Using Remote Sensing. Preprints. https://doi.org/10.20944/preprints202308.1061.v1
Chicago/Turabian Style
Chen, Y., Yishao Shi and Donghui Shi. 2023 "Spatiotemporal Analysis and Multifactor Driving Mechanisms of Urban Blue Space in Beijing Using Remote Sensing" Preprints. https://doi.org/10.20944/preprints202308.1061.v1
Abstract
With the rapid development in Beijing, there is a critical need to explore the circumstance and reveal the mechanisms of precious urban natural resources. In this context, urban blue space has attracted more and more attention by driving microcirculation, cooling heat islands, and relaxing residential. We extracted the UBS at Beijing using remote sensing, explored the spatial and temporal development in the last two decades via USDA methods, uncovered the full spectrum of landscape patterns from an ecological perspective, and simulated the mechanisms of the UBS area and the landscape quantitatively. We found that: (1) The UBS area in Beijing increased with fluctuation from 2000 to 2020. (2) The spatial clustering has distributed stable with some subtle changes. (3)The ecological circumstance has improved in the last 21 years in Beijing, with the increasing habitat diversity and richness, while the inferior landscape fragmentation has indicated some severe challenges. (4) Natural factors impact urban blue space areas more than social ones, while both similarly influence the UBS landscape. (5) Vegetation circumstances and precipitation are the most important natural factors on both area and landscape of UBS, and population and artificial surface are the most important social factors.
Keywords
urban blue space; spatio-temporal analysis; mechanism simulation; landscape analysis
Subject
Environmental and Earth Sciences, Water Science and Technology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
