首页|基于栅格数据的辽中南城市群人居环境自然适宜性测评

基于栅格数据的辽中南城市群人居环境自然适宜性测评

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以辽中南城市群为研究对象,基于1km×1km栅格数据,建立了基于地形起伏度、植被、水文、温湿指数的人居环境自然适宜性综合评价模型,对人居环境自然适宜性进行了综合评价与合理分区。研究结果表明:①辽中南城市群人居环境自然适宜性受地形条件限制较小,受水文、植被、气候条件限制较大。②辽中南城市群人居环境自然适宜性指数范围为19。03~84。15,在空间上总体呈现出西高东低的态势。③中度适宜地区分布最广,高度适宜地区与不适宜地区面积最小。④辽中南城市群64。48%的人口分布在中高度适宜地区。
Evaluation of the Natural Suitability of Human Settlements in the Urban Agglomeration of Central-South Liaoning Province Based on Grid Data
This paper took the Urban Agglomeration in Central-South Liaoning as the research target based on 1 km× 1 km raster data,and established a comprehensive evaluation model of natural suitability of human settlement on the basis of the degree of terrain undulation,vegetation,hydrology,temperature and humidity index,and carried out a comprehensive evaluation of natural suitability of the human settlement and a reasonable zoning.The results showed that the natural suitability of the human settlement in the Urban Agglomeration in Central-South Liaoning was less restricted by topographic conditions,but more restricted by hydrological,vegetative and climatic conditions.The natural suitability index of human settlement in the Urban Agglomeration in Central-South Liaoning ranged from 19.03 to 84.15,with an overall spatial trend of high in the west and low in the east.Moderately suitable areas had the widest distribution.Highly suitable areas and unsuitable areas had the smallest area.Sixty-four point forty-eight percentage of the population of the Urban Agglomeration in Central-South Liaoning was distributed in the moderately and highly suitable areas.

raster datahuman settlementnatural suitabilitypopulation distributionthe Urban Agglomeration in Central-South Liaoning

田深圳、吴文美、李航、王亚丹、李雪铭

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辽宁师范大学地理科学学院,辽宁大连 116029

辽宁师范大学人居环境研究中心,辽宁大连 116029

中国城市群研究基地联盟辽中南城市群研究基地,辽宁大连 116029

辽宁省"海洋经济高质量发展"高校协同创新中心,辽宁大连 116029

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栅格数据 人居环境 自然适宜性 人口分布 辽中南城市群

国家自然科学基金辽宁省自然科学基金辽宁省社会科学规划基金大连市社科联项目

422012212023-MS-254L22CJY0162022dlskzd037

2024

环境科学导刊
云南环境科学研究院

环境科学导刊

影响因子:0.525
ISSN:1673-9655
年,卷(期):2024.43(4)