China's Língqú 灵渠 Magic Transport Canal: Context, Origin, Design, and Significance.
Published In: Yearbook of the Association of Pacific Coast Geographers, 2025, v. 87. P. 105 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Stembridge, James E. 3 of 3
Abstract
One aim of historical geography is to understand and explain how specific cultural features emerged, diffused, evolved, and affected the landscapes and cultures into which they were incorporated. The focus of this paper is the summit-crossing ("watershed") transportation canal. Now recognized as the world's first summit transportation canal, China's Língqú 灵渠 Magic Transport Canal is 2,240 years old, dating from the year 214 BCE. "Re-discovered" for the Western world by Joseph Needham more than fifty years ago, its origin, context, design, and significance remain obscure. What innovations are embodied in the Língqú? How did its technology change landscapes, cultures, and the relationship of people with their environment? This paper brings together what is known of the canal, followed by a comprehensive summary of the Língqú's significance in the context of human history--the ingenious engineering of its invention, its role in the unification and creation of China, the diffusion of its concept to Europe where summit canals became critical enablers of the Industrial Revolution, and its contribution to the early development of today's worldwide transportation network. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Yearbook of the Association of Pacific Coast Geographers. 2025/01, Vol. 87, p105
- Document Type:Article
- Subject Area:Politics and Government
- Publication Date:2025
- ISSN:0066-9628
- DOI:10.1353/pcg.2025.a977366
- Accession Number:190174213
- Copyright Statement:Copyright of Yearbook of the Association of Pacific Coast Geographers is the property of University of Hawai'i and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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