Issue |
E3S Web Conf.
Volume 308, 2021
2021 6th International Conference on Materials Science, Energy Technology and Environmental Engineering (MSETEE 2021)
|
|
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Article Number | 01004 | |
Number of page(s) | 6 | |
Section | Energy Resource Development and Energy Saving Technology | |
DOI | https://doi.org/10.1051/e3sconf/202130801004 | |
Published online | 27 September 2021 |
Impact of cover change of land use on flood vulnerability in Jiangsu province
1 Nanjing University of Information Science & Technology, Nanjing, Jiangsu, 210044, China
2 Kang Chiao internation school, Kunshan, Jiangsu, 215300, China
† These authors contributed equally.
* Corresponding author’s e-mail:
a Shuangchen.du@student.reading.ac.uk,
b lakzhang@foxmail.com
In the context of global warming and rising sea levels, as urbanization continues to increase, the risk situation of urban systems facing floods has become more severe. Therefore, we constructed a vulnerability assessment model for urban flood disasters in Jiangsu Province, focusing on using GIS technology to classify the land use of each city in Jiangsu Province for supervised learning. We also established a flood disaster vulnerability model to evaluate the Vulnerability of 13 cities in Jiangsu Province. Evaluation and analysis of the changes in land use vulnerability use flood disasters in Jiangsu Province from 2000 to 2020. The results show that from 2000 to 2020, the Vulnerability to flooding disasters is on the rise as a whole. Yancheng has the lowest average Vulnerability to flooding disasters due to the low population density and high greening rate in the built-up area. On the other hand, Nantong City has the most heightened average flood vulnerability due to excessive population density. The low greening rate in built-up areas has led to a worsening of flood vulnerability. Suggestions have been made to reduce the Vulnerability of urban floods in Jiangsu Province, such as vigorously developing the local economy, reasonably adjusting the rate of urbanization, and building drainage infrastructure.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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