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长江下游流域传统村落空间分布特征及其对水网系统响应的研究

Study on the spatial distribution characteristics of traditional villages and their response to the water network system in the lower yangtze river basin.

作者信息

Wang Zhugen, Zhu Jianing, Wu Zhen

机构信息

College of Architecture, Nanjing Tech University, Nanjing, 211816, China.

出版信息

Sci Rep. 2024 Sep 29;14(1):22586. doi: 10.1038/s41598-024-74363-y.

Abstract

Traditional villages hold significant historical and cultural value as the precious heritage of China's agricultural civilization. Currently, against the backdrop of increasing urbanization and rapid expansion of urban construction land, the spatial patterns of traditional villages across various regions in China are being encroached upon and damaged, with protection pressures growing daily. As one of the important cradles of Chinese civilization, the Lower Yangtze River Basin (LYRB) has traditional villages closely linked with its water systems, forming a unique human-land relationship and spatial distribution pattern. However, influenced by the rapid urbanization process, the spatial patterns of traditional villages in this region also face a crisis, and the contradiction between protection and development is becoming increasingly prominent. How to balance this contradiction and ensure the reasonable protection and sustainable development of traditional villages has become an urgent issue to address. Therefore, this study focuses on the LYRB. Using ArcGIS tools and combined with mathematical analysis methods, the spatial distribution characteristics and essential influencing factors of traditional villages in this area were screened and analyzed. The objective was to examine the spatial structural relationship between traditional villages, four water system types, and nine sub-basin units, intending to reveal the unique interdependence between the water system and traditional villages in this area. This would provide scientific support for the formulation of scientific conservation strategies. The research results show that: (1) Traditional villages in The LYRB form two core clusters spatially and exhibit substantial spatial accumulation; (2) Water system characteristics are the main factors affecting the distribution of traditional villages; (3) In the LYRB, the spatial distribution of the nine sub-basins is closely related to the spatial distribution of traditional villages, resulting in typical regional spatial differentiation of traditional villages in this area. This study is based on a watershed perspective, and the results highlight the importance of the water system network in the development of traditional villages, revealing a unique spatial dependency relationship between traditional villages and the water network in the LYRB. In order to ensure the comprehensive protection of the traditional village system in this region, it is essential to adhere to the fundamental principles that govern its spatial configuration. A tripartite collaborative protection system based on the watershed should be formulated from the perspective of the overall distribution relationship between the water network and the traditional villages. This system would serve to protect the overall landscape, the water network pattern, and the traditional villages. Establishing an overall pattern view of integrating the water system network and the traditional villages is essential.

摘要

传统村落作为中国农耕文明的珍贵遗产,具有重要的历史文化价值。当前,在城市化进程加快、城市建设用地快速扩张的背景下,中国各地区传统村落的空间格局正受到侵蚀和破坏,保护压力日益增大。长江下游流域(LYRB)作为中华文明的重要发祥地之一,其传统村落与水系紧密相连,形成了独特的人地关系和空间分布格局。然而,受快速城市化进程的影响,该地区传统村落的空间格局也面临危机,保护与发展的矛盾日益突出。如何平衡这一矛盾,确保传统村落的合理保护与可持续发展,已成为亟待解决的问题。因此,本研究聚焦于长江下游流域。利用ArcGIS工具并结合数学分析方法,对该地区传统村落的空间分布特征及主要影响因素进行了筛选和分析。目的是考察传统村落、四种水系类型和九个子流域单元之间的空间结构关系,旨在揭示该地区水系与传统村落之间独特的相互依存关系。这将为制定科学的保护策略提供科学依据。研究结果表明:(1)长江下游流域的传统村落在空间上形成两个核心集群,并呈现出显著的空间集聚现象;(2)水系特征是影响传统村落分布的主要因素;(3)在长江下游流域,九个子流域的空间分布与传统村落的空间分布密切相关,导致该地区传统村落呈现典型的区域空间分异。本研究基于流域视角,研究结果突出了水系网络在传统村落发展中的重要性,揭示了长江下游流域传统村落与水网之间独特的空间依存关系。为确保该地区传统村落系统的全面保护,必须遵循其空间布局的基本原则。应从水网与传统村落的整体分布关系出发,构建基于流域的三方协同保护体系。该体系将用于保护整体景观、水网格局和传统村落。建立水系统网络与传统村落相融合的整体格局观至关重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ac14/11439937/7b9e13bd3829/41598_2024_74363_Fig9_HTML.jpg

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