Spatial-Temporal Evolution Relationship between Water Systems and Historical Settlement Sites Based on Quantitative Analysis: A Case Study of Hankou in Wuhan, China (1635–1949)

Han Zou (), Chen Chen, Wei Xiao and Lifu Shi
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Han Zou: School of Civil Engineering, Architecture and Environment, Hubei University of Technology, Wuhan 430068, China
Chen Chen: School of Civil Engineering, Architecture and Environment, Hubei University of Technology, Wuhan 430068, China
Wei Xiao: CITIC General Institute of Architectural Design and Research Co., Ltd., Wuhan 430014, China
Lifu Shi: School of Civil Engineering, Architecture and Environment, Hubei University of Technology, Wuhan 430068, China

Sustainability, 2022, vol. 14, issue 21, 1-20

Abstract: When deciding on and creating their own settlement environment, humans’ relationships with water resources have evolved. From the earliest times when they observed water and learned about its characteristics and laws to create artificial rivers, to the gradual development and use of water resources to create water plants and pumping stations, to the management of water resources to set up customs and dams to prevent and manage water hazards.To lay the groundwork for more sustainable development of the relationship between humans and water in the city, it is important to understand and summarize this state of change. Wuhan, known as the “City of a Thousand Lakes”, is a typical case of studying the traditional relationship between Chinese people and water, and can better provide modern cities with the value of historical experience in sustainable development. Therefore, this study takes the Hankou town of Wuhan from 1635 to 1949 as the research object, uses historical maps and written materials as data sources, and creates a database of historical information based on the water system of Hankou and the sites of artificial settlements such as buildings and streets. It takes quantitative analysis and map visualization techniques of the GIS platform from the perspective of quantitative historical research. Firstly, it creates a database of historical information based on the water system of Hankou and the sites of artificial settlements such as buildings and streets. Secondly, it gives the quantitation about the human–water relationship in Hankou by applying the spatial analysis methods of buffer analysis. The study’s findings demonstrate that from 1635 to 1864 there were an increasing number of artificial settlement sites that were distributed along the water system, keeping a reasonable distance from the water; from 1684 to 1905, people constructed dikes to prevent flooding, which resulted in an increase in urban space; and from 1905 to 1949, the development of Hankou shifted toward the Hanjiang River and the Yangtze River. The procedure shows a change in the relationship between avoiding water and subsequently managing water and using water. The results of the study indicate the following: (1) Water is essential for the environment of human settlements. (2) Human activities have an impact on the structure of water systems. (3) There is a high degree of coupling between the Hankou urban water system and the sites of artificial settlements. It proves that the relationship between humans and water is very close in the process of modern urbanization in Hankou. In building a traditional habitat environment to regulate water, it is consistent with the ancient Chinese concepts of “harmony between man and nature” and “the best place to live is close to water conservancy but also avoid flood.” This paper is helpful for re-examining and establishing the harmonious relationship between humans and water to encourage sustainable urban growth and reshape the urban spatial environment with Chinese characteristics. It also provides a method based on quantitative analysis for studying the evolution history of urban settlement environments.

Keywords: settlement environment; human–water relationship; geographic information system; space analysis; temporal and spatial evolution (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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