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Reconstruction of Historical Land Use and Urban Flood Simulation in Xi’an, Shannxi, China

Shuangtao Wang, Pingping Luo, Chengyi Xu, Wei Zhu, Zhe Cao, Steven Ly

2022Remote Sensing32 citationsDOIOpen Access PDF

Abstract

Reconstruction of historical land uses helps to understand patterns, drivers, and impacts of land-use change, and is essential for finding solutions to land-use sustainability. In order to analyze the relationship between land-use change and urban flooding, this study used the Classification and Regression Tree (CART) method to extract modern (2017) land-use data based on remote sensing images. Then, the Paleo-Land-Use Reconstruction (PLUR) program was used to reconstruct the land-use maps of Xi’an during the Ming (1582) and Qing (1766) dynasties by consulting and collecting records of land-use change in historical documents. Finally, the Flo-2D model was used to simulate urban flooding under different land-use scenarios. Over the past 435 years (1582–2017), the urban construction land area showed a trend of increasing, while the unused land area and water bodies were continuously decreasing. The increase in urban green space and buildings was 20.49% and 19.85% respectively, and the unused land area changed from 0.32 km2 to 0. Urban flooding in the modern land-use scenario is the most serious. In addition to the increase in impervious areas, the increase in building density and the decrease in water areas are also important factors that aggravate urban flooding. This study can provide a reference for future land-use planning and urban flooding control policy formulation and revision in the study area.

Topics & Concepts

Impervious surfaceFlooding (psychology)Land useFlood mythChinaGeographyLand use, land-use change and forestryUrban planningWater resource managementEnvironmental scienceEnvironmental resource managementHydrology (agriculture)Civil engineeringGeologyArchaeologyEngineeringPsychologyEcologyGeotechnical engineeringBiologyPsychotherapistFlood Risk Assessment and ManagementLand Use and Ecosystem ServicesRemote Sensing and Land Use
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