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Analysis of the Spatiotemporal Evolution and Driving Mechanisms of Impervious Surfaces along the Jiaozhou Bay (China) Coast over the Past Four Decades
Ma, Pengyun1,2,3; Liu, Yilin4,5; Han, Xibin1,2,3; Geng, Xiangfeng6; Cui, Xiaodong1; Zhao, Lihong4; Liu, Yun1,2,3; Han, Rui1,2,3
2024-07-01
发表期刊SUSTAINABILITY
卷号16期号:13页码:20
通讯作者Liu, Yilin(liu@sdust.edu.cn) ; Han, Xibin(hanxibin@sio.org.cn)
摘要Impervious surfaces serve as critical indicators for monitoring urbanization processes and assessing urban ecological conditions. The precise extraction and analysis of the spatiotemporal variations in impervious surfaces are essential for informing urban planning strategies. The unique location advantage of Jiaozhou Bay makes it an important urban gathering area. Based on Landsat remote sensing image data, the extraction effect and accuracy of urban built-up area index, biophysical index, and random forest classification were compared and analyzed. Then, the optimal random forest method was used to extract impervious water information from 8 Landsat satellite images of the coastal area of Jiaozhou Bay from 1986 to 2022. Over the past four decades, the impervious surface area in the Jiaozhou Bay coastal region has expanded dramatically from 71.53 km2 in 1986 to 1049.16 km2 in 2022, with the most significant increase, nearly doubling, occurring between 2011 and 2017. Spatially, the distribution of impervious surfaces has expanded progressively from coastal to inland areas and from central to peripheral zones, particularly toward the southwest in Huangdao District and Jiaozhou City. The distribution of impervious surfaces in the Jiaozhou Bay coastal area is primarily confined to flat and gently sloping nearshore regions due to natural constraints like terrain slope. Concurrently, policy initiatives, along with population and economic growth, have catalyzed the rapid expansion of these surfaces. These insights are invaluable for comprehending the urban spatiotemporal dynamics and patterns along the Jiaozhou Bay coast and offer fresh perspectives for research into urban transformations and the sustainable development of ecological environments in other coastal regions.
关键词impervious surface Random Forest long sequence spatiotemporal characteristics driving force Jiaozhou Bay
DOI10.3390/su16135659
收录类别SCI
语种英语
资助项目Open Fund of the Key Laboratory of Marine Geology and Environment, Chinese Academy of Sciences[MGE2022KG1] ; National Natural Science Foundation of China[41706092] ; National Natural Science Foundation of China[42307255] ; National Natural Science Foundation of China[52201400] ; National Natural Science Foundation of China[U2244222] ; Hebei Natural Science Foundation[D2023402033] ; Shandong Provincial Natural Science Foundation[ZR2022QD087] ; Shandong Provincial Natural Science Foundation[ZR2022QD043]
WOS研究方向Science & Technology - Other Topics ; Environmental Sciences & Ecology
WOS类目Green & Sustainable Science & Technology ; Environmental Sciences ; Environmental Studies
WOS记录号WOS:001268036100001
出版者MDPI
WOS关键词URBAN ; INDEX
引用统计
文献类型期刊论文
条目标识符http://ir.qdio.ac.cn/handle/337002/186342
专题海洋地质与环境重点实验室
通讯作者Liu, Yilin; Han, Xibin
作者单位1.Shandong Univ Sci & Technol, Coll Geodesy & Geomat, Qingdao 266590, Peoples R China
2.Minist Nat Resources, Key Lab Submarine Geosci, Hangzhou 310012, Peoples R China
3.Minist Nat Resources, Inst Oceanog 2, Hangzhou 310012, Peoples R China
4.Shandong Univ Sci & Technol, Coll Earth Sci & Engn, Qingdao 266590, Peoples R China
5.Chinese Acad Sci, Inst Oceanol, Key Lab Marine Geol & Environm, Qingdao 266071, Peoples R China
6.Shandong Prov Geomineral Engn Explorat Inst, Jinan 250014, Peoples R China
通讯作者单位中国科学院海洋研究所
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Ma, Pengyun,Liu, Yilin,Han, Xibin,et al. Analysis of the Spatiotemporal Evolution and Driving Mechanisms of Impervious Surfaces along the Jiaozhou Bay (China) Coast over the Past Four Decades[J]. SUSTAINABILITY,2024,16(13):20.
APA Ma, Pengyun.,Liu, Yilin.,Han, Xibin.,Geng, Xiangfeng.,Cui, Xiaodong.,...&Han, Rui.(2024).Analysis of the Spatiotemporal Evolution and Driving Mechanisms of Impervious Surfaces along the Jiaozhou Bay (China) Coast over the Past Four Decades.SUSTAINABILITY,16(13),20.
MLA Ma, Pengyun,et al."Analysis of the Spatiotemporal Evolution and Driving Mechanisms of Impervious Surfaces along the Jiaozhou Bay (China) Coast over the Past Four Decades".SUSTAINABILITY 16.13(2024):20.
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