Study on Calculation Methods of Runoff Coefficient in Data-Scarce Areas

DOI

10.2991/978-94-6463-516-4_25How to use a DOI?

Keywords

Sponge city; Runoff coefficient; Data-Scarce Areas; BP neural network model

Abstract

After the sponge city construction, it is necessary to carry out quantitative evaluation and assessment of its construction effect. Among them, runoff coefficient is one of the important assessment indicators for the sponge city construction effect evaluation. Starting from the study on the influencing factors and determination method of runoff coefficient and BP neural network model, the main influencing factors and determination methods of runoff coefficient suitable for the study area were determined in this paper. According to the specification-based method, the catchment zones and the comprehensive runoff coefficient of the demonstration area were calculated, and the variation rule of runoff coefficient before and after the sponge city construction was analyzed, and the construction effect of the demonstration area was quantitatively evaluated. The results show that the sponge measures have an obvious effect on reducing the runoff coefficient, indicating that the use of sponge measures can reduce the adverse impact of urban construction on rainwater interception and storage, effectively alleviate the contradiction between urban water resource shortage and frequent waterlogging, and enhance the ability of water resource regulation.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Lin Zhang
AU  - Zizhu Peng
AU  - Shiming Yao
AU  - Qinghong Yang
AU  - Jinyun Deng
AU  - Jiasheng Wang
AU  - Ligang Li
PY  - 2024
DA  - 2024/09/17
TI  - Study on Calculation Methods of Runoff Coefficient in Data-Scarce Areas
BT  - Proceedings of the 2024 5th International Conference on Urban Construction and Management Engineering (ICUCME 2024)
PB  - Atlantis Press
SP  - 216
EP  - 224
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-516-4_25
DO  - 10.2991/978-94-6463-516-4_25
ID  - Zhang2024
ER  -