Research Article
Plant Landscape Configuration Method of Regional Characteristic Rainwater Garden Based on Deep Learning
@INPROCEEDINGS{10.1007/978-3-031-18123-8_27, author={Qian He and Jing Lin Ng and Nur Ilya Farhana Md Noh}, title={Plant Landscape Configuration Method of Regional Characteristic Rainwater Garden Based on Deep Learning}, proceedings={Multimedia Technology and Enhanced Learning. 4th EAI International Conference, ICMTEL 2022, Virtual Event, April 15-16, 2022, Proceedings}, proceedings_a={ICMTEL}, year={2022}, month={10}, keywords={Deep learning Area Rain garden Plant landscape Configuration method}, doi={10.1007/978-3-031-18123-8_27} }- Qian He
Jing Lin Ng
Nur Ilya Farhana Md Noh
Year: 2022
Plant Landscape Configuration Method of Regional Characteristic Rainwater Garden Based on Deep Learning
ICMTEL
Springer
DOI: 10.1007/978-3-031-18123-8_27
Abstract
With the acceleration of urbanization and the continuous expansion and construction of cities, more and more cities in China are facing increasingly serious urban rainwater problems. As a rainwater management measure under the low impact development system, rainwater garden can manage and utilize rainwater resources. Therefore, a plant landscape configuration method of regional characteristic rainwater garden based on in-depth learning is proposed. By analyzing the types and characteristics of rainwater landscape facilities; Constructed rainwater garden runoff management system; Design the plant configuration scheme of wet area, semi-humid area, arid area and semi-arid area of rainwater garden; The plant landscape characteristic parameters are calculated based on the deep learning algorithm to complete the plant landscape configuration. Experiments show that the waterlogging tolerance index D of this rainwater garden landscape configuration method for different kinds of plant landscape is higher than that of the traditional configuration method, which can manage rainwater and improve the ecological environment at the same time.
