Application of Distributed Water Storage Systems In Urban Water Hazards Management Under the Concept of "Sponge City"

Baizheng Sun

doi:10.54097/x58tq014

Authors

Baizheng Sun

DOI:

https://doi.org/10.54097/x58tq014

Keywords:

Sponge City; Distributed Systems; Water Storage; Urban; Water hazards Management.

Abstract

Management of waterlogging-dominated water hazards is a critical issue in contemporary urban development. The introduction of the "sponge city" concept provides a new paradigm for addressing urban water hazard challenges, with the integrated and adaptive approach emerging as a key solution. This paper explores urban water hazards management within the framework of the sponge city concept and draws on distributed network technology, commonly employed in managing internet congestion, to propose a design framework for distributed water storage systems. Compared to traditional water hazards control methods, distributed water storage systems exhibit superior drainage efficiency and enable precise regulation of urban water resources. By integrating big data and artificial intelligence technologies, these systems can facilitate intelligent spatial and temporal scheduling of water resources, effectively addressing urban water hazarding while simultaneously promoting the sustainable and efficient utilization of water resources.

Downloads

Download data is not yet available.

References

[1] Zhou Shiqi; Jia Weiyi; Liu Zhiyu; Wang Mo. Machine learning analysis of urban waterlogging risk prediction and influencing factors in high-density cities from the perspective of built environment: A case study of Shenzhen . Landscape Architecture (Chinese and English), 2024, 12(05): 48-67.

[2] Zheng Shuqin. Application and discussion of zoned drainage in the process of urban waterlogging control in bay-type cities. Urban Water Supply, 2024(05): 95-99+94.

[3] Li Shunyao. Analysis of causes of urban waterlogging and research on governance countermeasures. Urban Water Supply, 2023(05): 93-96.

[4] Cai Ruimeng. Analysis of causes of urban waterlogging from the perspective of municipal design. Value Engineering, 2023(21): 16-19.

[5] Qiu Gangfei. Exploration of systematic construction of sponge cities in plain water network areas: A case study of Xijiang New City. China Construction. 2024 (07):104-106.

[6] Xu Yitao. Deficiencies and improvement strategies of sponge city construction in the process of urbanization - taking Shenzhen as an example. Theoretical Research on Urban Construction (Electronic Edition), 2024(30):10-12.

[7] Sun Lianpeng;Xu Yifan;Lin Jianxin;Zhu Jinjun;Li Xianfeng;Zhu Xinzhe. Research on the construction of multi-monitoring system in urban smart drainage control. Theoretical Research on Urban Construction (Electronic Edition), 2024(30):10-12.

[8] Zhou Biao;Dong Yuliang. Identification and analysis of safe operation problems of drainage network based on online monitoring data of distributed sensors. Science and Technology Innovation and Application

[9] Rabelo, U. P., Dietrich, J., Costa, A. C., Simshäuser, M. N., Scholz, F. E., Nguyen, V. T., & Neto, I. E. L. Representing a dense network of ponds and reservoirs in a semi-distributed dryland catchment model. Journal of Hydrology, 2019(25):1-6.

[10] Chen Zhuo; Sun Jianjun. Simulation of urban storm waterlogging process based on distributed hydrological model. Geospatial Information.2022, 20(08): 105-108+122.

[11] Gao Wanfei; Zhu Jiwei; Yang Fan; Zhang Yifan. Construction of urban drainage big data platform and its application in urban drainage network planning. Water Supply and Drainage.2019, 55(09): 128-132.

[12] Rabelo, U. P., Dietrich, J., Costa, A. C., Simshäuser, M. N., Scholz, F. E., Nguyen, V. T., & Neto, I. E. L. Representing a dense network of ponds and reservoirs in a semi-distributed dryland catchment model. Journal of Hydrology, 2021, 603, 127103.

[13] Sushanth, K., Sojitra, R., Mishra, A., Goel, M. K., & Singh, R. Development of reservoir module for a distributed conceptual hydrological model. Acta Geophysica, 2023, 71(6), 2923-2940.