IDEAS home Printed from https://ideas.repec.org/a/spr/waterr/v38y2024i14d10.1007_s11269-024-03896-8.html
   My bibliography  Save this article

Simulation and Evaluation of Collapsible Risk of Low Impact Development Rainwater System in Collapsible Loess Area

Author

Listed:
  • Jing Jing

    (Xi’an University of Technology)

  • Jingming Hou

    (Xi’an University of Technology)

  • Zhanpeng Pan

    (Xi’an University of Technology)

  • Tian Wang

    (Xi’an University of Technology)

  • Xinyi Li

    (Xi’an University of Technology)

  • Guangzhao Chen

    (Xi’an University of Technology)

  • Xueliang Sun

    (China Planning Institute (Beijing) Planning and Design Co.)

  • Changhui Duan

    (Changzhi City River Affairs Center)

Abstract

To investigate the risk levels of collapse associated with different Low-Impact Development (LID) measures employed in constructing stormwater systems within collapsible loess areas, the study utilized the High-Efficiency and High-Precision Urban Stormwater Model (GAST) to analyze the risk of waterlogging. The aim was to propose a method that integrates the analysis of waterlogging accumulation time with considerations of the correlation between the collapsibility coefficient and soil parameters, thereby assessing the collapse risk level of various LID measures. This method was applied to examine the changing patterns of settlement risk levels in grassed swales and rain gardens under different rainfall return periods (P1 = 20 years, P2 = 50 years, P3 = 100 years) and water accumulation durations (T1 = 0.5 days, T2 = 5 days). Findings reveal a direct correlation between rainfall return periods and collapse risk levels. Specifically, at P3 = 100 years, 50% of the collapse risk level in the study region reaches level III. However, when the water accumulation duration is extended to 5 days, the percentage of locations classified as category III increases to 75%. Despite rain gardens' superior water storage capacity compared to grass swales, they also elevate the risk of collapse. Therefore, diligent monitoring of rain garden durability during prolonged periods of frequent rainfall is essential. The evaluation approach proposed in this research demonstrates a 75% accuracy rate, affirming its initial reliability for evaluating the risk associated with constructing LID stormwater systems in collapsible loess areas. Furthermore, it can be utilized for further investigations into the collapsibility impacts of LID measures in regions characterized by collapsible loess.

Suggested Citation

  • Jing Jing & Jingming Hou & Zhanpeng Pan & Tian Wang & Xinyi Li & Guangzhao Chen & Xueliang Sun & Changhui Duan, 2024. "Simulation and Evaluation of Collapsible Risk of Low Impact Development Rainwater System in Collapsible Loess Area," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 38(14), pages 5485-5505, November.
    • Handle: RePEc:spr:waterr:v:38:y:2024:i:14:d:10.1007_s11269-024-03896-8
    DOI: 10.1007/s11269-024-03896-8
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11269-024-03896-8
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11269-024-03896-8?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Pan, Zhanpeng & Tong, Yu & Hou, Jingming & Zheng, Jian & Kang, Yongde & Wang, Yan & Cao, Changchong, 2021. "Hole irrigation process simulation using a soil water dynamical model with parameter inversion method," Agricultural Water Management, Elsevier, vol. 245(C).
    2. Peng Chen & Jiquan Zhang & Xinyu Jiang & Xingpeng Liu & Yulong Bao & Yingyue Sun, 2012. "Scenario Simulation-Based Assessment of Trip Difficulty for Urban Residents under Rainstorm Waterlogging," IJERPH, MDPI, vol. 9(6), pages 1-18, May.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Qi Zhang & Jiquan Zhang & Liupeng Jiang & Xingpeng Liu & Zhijun Tong, 2014. "Flood Disaster Risk Assessment of Rural Housings — A Case Study of Kouqian Town in China," IJERPH, MDPI, vol. 11(4), pages 1-16, April.
    2. Peng Chen & Jiquan Zhang & Lifeng Zhang & Yingyue Sun, 2014. "Evaluation of Resident Evacuations in Urban Rainstorm Waterlogging Disasters Based on Scenario Simulation: Daoli District (Harbin, China) as an Example," IJERPH, MDPI, vol. 11(10), pages 1-17, September.
    3. Chao Wang & Yongheng Gu & Fei Ma & Yongping Li, 2022. "Extreme Weather Influence on Carbon Emissions in Chinese Urban Traffic Environments," SAGE Open, , vol. 12(3), pages 21582440221, August.
    4. Donglai Li & Jingming Hou & Yangwei Zhang & Minpeng Guo & Dawei Zhang, 2022. "Influence of Time Step Synchronization on Urban Rainfall-Runoff Simulation in a Hybrid CPU/GPU 1D-2D Coupled Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(10), pages 3417-3433, August.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:waterr:v:38:y:2024:i:14:d:10.1007_s11269-024-03896-8. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.