基于多源数据的中国海岸带地区人口空间化模拟

CORC > 烟台海岸带研究所 > 中国科学院烟台海岸带研究所 > 中科院海岸带环境过程与生态修复重点实验室 > 海岸带信息集成与综合管理实验室

	基于多源数据的中国海岸带地区人口空间化模拟
	杜培培 1,2,3,4; 侯西勇 1,3,4
刊名	地球信息科学学报
	2020
卷号	22 期号:2 页码:207-217
关键词	人口阈值动态分区空间化人居指数海岸带中国
ISSN号	1560-8999
其他题名	Spatial Simulation of Population in China's Coastal Zone based on Multi-source Data
文献子类	Article
英文摘要	Coastal zone is not only the hotspot of population aggregation and rapid economic growth, but also eco- environmentally sensitive, vulnerable to natural disasters.Detailed spatial distribution information of population is of great significance for solving resource allocation and disaster risk management in the coastal zone.This paper took the coastal cities in China as the study area.We combined the NPP- VIIRS data and NDVI data to construct Human Settlements Index(HSI), and selected the proportion of residential area per unit grid as a parameter to enhance the inter-demographic difference.Then, we used the dynamic partitioning samples and model to obtain the 1000 m grid population distribution data in the coastal zone of China(POP).To show the advantages of our proposed modeling approach, the published Chinese 1000 m grid population data(TPOP)and world population data with 100 m resolution(WorldPOP)were used to compare with our simulated POP data.For the comparison, three indicators were chosen: the macroscopic distribution characteristics, difference between urban and rural area, and population distribution within city.Results show that all the three data can reflect the macroscopic distribution characteristics of population in China's coastal zone, while POP has the best performance of depicting urban and rural differences in population distribution and the most detailed features of population distribution within city.According to the census and POP data, due to the influence of the coastal terrain and regional to national economic development strategies, the population distribution in China's coastal zone has obvious regional characteristics:(1)Topographically, the population density of montane and tidal flats areas is generally low(below 5 person/hm~2), while that of plain and estuary delta areas is generally high(over 10 person/hm~2).(2)At macroscopic scale, areas with high population density(over 25 person/hm~2)are mainly concentrated in coastal plain areas such as the Circum Bohai Sea region, the Yangtze River delta and the Pearl River delta;the population distribution in the north of the Yangtze River has the pattern of large dispersion and small concentration, especially in the provinces of Shandong and Jiangsu, the population distribution in the south of the Yangtze River is relatively concentrated, mainly in the coastal lowlands and plains in Zhejiang, Fujian, and Guangdong.(3)Regarding the urban and rural differences, the higher the urban level is, the more significant the gradient characteristics of population distribution will be;meanwhile, there is a huge difference in population density among urban, suburbs and exurban areas.
语种	中文
CSCD记录号	CSCD:6676526
资助机构	中国科学院战略性先导科技专项 ; 国家自然科学基金项目
内容类型	期刊论文
源URL	[http://ir.yic.ac.cn/handle/133337/30378]
专题	烟台海岸带研究所_海岸带信息集成与综合管理实验室
作者单位	1.中国科学院烟台海岸带研究所,烟台264003; 2.中国科学院大学,北京100049; 3.中国科学院海岸带环境过程与生态修复重点实验室,烟台264003; 4.中国科学院海洋大科学研究中心,青岛266071
推荐引用方式 GB/T 7714	杜培培,侯西勇. 基于多源数据的中国海岸带地区人口空间化模拟[J]. 地球信息科学学报,2020,22(2):207-217.
APA	杜培培,&侯西勇.(2020).基于多源数据的中国海岸带地区人口空间化模拟.地球信息科学学报,22(2),207-217.
MLA	杜培培,et al."基于多源数据的中国海岸带地区人口空间化模拟".地球信息科学学报 22.2(2020):207-217.