京杭大运河水工设施空间分布的结构方程模型及其与自然因素的关系

IF 2.6 1区 艺术学 Q2 CHEMISTRY, ANALYTICAL
Wang Cheng, Zhang Yiwen, Li Liang, Yan Yihua, Wang Guanhua, Qiu Xin, Zeng Yangqinxue
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引用次数: 0

摘要

水工设施是明清时期京杭大运河的重要组成部分,其分布与流域水文地形特征密切相关。本研究利用ArcGIS(地理信息系统软件)10.8软件重建了明清时期的运河网分布图和水工设施数据库。采用Amos (analysis of Moment Structures) 26.0软件,考察各种自然环境因素对水利工程设施选址的影响。结果表明,水工设施的空间分布与主河道坡度和坡向具有显著的相关性,并对水工设施的空间分布有直接影响。主河道坡度估计系数为-0.166,与水工设施空间分布呈负相关;主河道坡度方向估计系数为- 0.112,与水工设施空间分布呈负相关。水工设施所在流域的估算系数为-0.096,呈负相关。支流坡度和坡向对水工设施空间分布的影响是间接的,由水工设施所在的流域区域介导。支流坡度的效应值为-0.017,与水工设施空间分布呈负相关,支流坡度方向的效应值为0.010,与水工设施空间分布呈正相关。本研究实现了运河沿线水工设施遗产从点到线的整合,为运河文化遗产廊道的建设提供数据支持,有利于促进遗产保护和合理布局,对了解运河文化具有重要意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Structural equation model of the spatial distribution of water engineering facilities along the Beijing-Hangzhou grand canal and its relationship with natural factors

Structural equation model of the spatial distribution of water engineering facilities along the Beijing-Hangzhou grand canal and its relationship with natural factors

Water engineering facilities are a crucial component of the Beijing-Hangzhou Grand Canal during the Ming and Qing dynasties, and their distribution is closely related to the hydrological and topographical characteristics of the area. In this study, we reconstructed the canal network distribution map and water engineering facilities database of the Ming and Qing periods using ArcGIS (Geographical information systems software) 10.8 software. We employed Amos (Analyze of Moment Structures) 26.0 software to investigate the influence of various natural environmental factors on the selection of water engineering facility sites. The results revealed a significant correlation between the spatial distribution of water engineering facilities and the main channel slope and slope direction, which had a direct impact. The estimated coefficient for the main channel slope was -0.166, showing a negative correlation with the spatial distribution of water engineering facilities, while the estimated coefficient for the main channel slope direction was − 0.112, also indicating a negative correlation. Moreover, the estimated coefficient for the watershed area where water engineering facilities were located was -0.096, demonstrating a negative correlation. In contrast, the effects of tributary slope and slope direction on the spatial distribution of water engineering facilities were indirect, mediated by the watershed area where these facilities were situated. The effect size for tributary slope was -0.017, showing a negative correlation, while the effect size for tributary slope direction was 0.010, indicating a positive correlation with the spatial distribution of water engineering facilities.The study achieves the integration of the heritage of water engineering facilities along the canal from point to line, provides data support for the construction of the cultural heritage corridor of the canal, and facilitates the promotion of heritage protection and rational layout, which is of great significance to the understanding of the canal culture.

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来源期刊
Heritage Science
Heritage Science Arts and Humanities-Conservation
CiteScore
4.00
自引率
20.00%
发文量
183
审稿时长
19 weeks
期刊介绍: Heritage Science is an open access journal publishing original peer-reviewed research covering: Understanding of the manufacturing processes, provenances, and environmental contexts of material types, objects, and buildings, of cultural significance including their historical significance. Understanding and prediction of physico-chemical and biological degradation processes of cultural artefacts, including climate change, and predictive heritage studies. Development and application of analytical and imaging methods or equipments for non-invasive, non-destructive or portable analysis of artwork and objects of cultural significance to identify component materials, degradation products and deterioration markers. Development and application of invasive and destructive methods for understanding the provenance of objects of cultural significance. Development and critical assessment of treatment materials and methods for artwork and objects of cultural significance. Development and application of statistical methods and algorithms for data analysis to further understanding of culturally significant objects. Publication of reference and corpus datasets as supplementary information to the statistical and analytical studies above. Description of novel technologies that can assist in the understanding of cultural heritage.
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