宁夏师范学院学报2024,Vol.45Issue(7) :51-57.

基于Python的海绵城市关键要素提取及空间特征分析

Key element extraction and spatial characterisation analysis of sponge cities based on Python

鲍香玉 王飘
宁夏师范学院学报2024,Vol.45Issue(7) :51-57.

基于Python的海绵城市关键要素提取及空间特征分析

Key element extraction and spatial characterisation analysis of sponge cities based on Python

鲍香玉 1王飘2
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作者信息

  • 1. 池州学院地理与规划学院,安徽池州 247000
  • 2. 上海海洋大学海洋科学与生态环境学院,上海 201306
  • 折叠

摘要

海绵城市的合理规划和管理对提高城市的水资源利用效率和环境适应能力尤为重要.以安徽省池州市为例,通过Python抓取海绵城市关键要素数据,运用Arcgis对关键要素进行核密度分析和缓冲区分析,发现水体、学校、公园、居住小区、主要道路等要素在贵池区分布密度最高,其次是青阳县、东至县和石台县.关键要素向市区空间集聚,表现出欠发达地区的普遍特点,通过空间特征分析的研究结果揭示了不同要素在城市空间中的分布规律,为同类型的海绵城市规划和建设提供了理论和实践支持.

Abstract

Reasonable planning and management of sponge cities are particularly important for improving the utilization of water resources and environmental adaptability of cities.Taking Chizhou City in Anhui Province as an example,the key elements of sponge city are captured by Python,and arcgis is used to carry out kernel density analysis and buffer analysis of the key elements.It is found that the distribution density of water bodies,schools,parks,residential areas and main roads is the highest in Guichi district,followed by Qingyang county,Dongzhi county and Shitai county.The concentration of key ele-ments in the urban space shows a common characteristic of underdeveloped areas.The results of the spatial characterisation reveal the distribution pattern of different elements in the urban space,which provides theoretical and practical support for the planning and construction of sponge cities of the same type.

关键词

海绵城市/Python/空间特征/欠发达地区

Key words

Sponge city/Python/Spatial characteristics/Underdeveloped area

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基金项目

安徽省教育厅自然科学研究重点项目(2023AH052359)

出版年

2024
宁夏师范学院学报
宁夏师范学院

宁夏师范学院学报

影响因子:0.138
ISSN:1674-1331
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