The application of infiltration basins and tanks is one of the primary means of sustainable stormwater management. However, the methods currently used to size these facilities do not take into account a number of parameters that have a significant impact on their required capacity. In light of this, the aim of this research was to develop a new method for selecting the geometry of the infiltration basins and tanks. Its application in the initial phase of designing stormwater management systems will allow assessing the validity of using such facilities in a given catchment area. This paper also presents the results of local and global sensitivity analyses examining how changes in individual design parameters influence stormwater infiltration facilities. The effectiveness of the developed model was evaluated through the example of a real urban catchment. The study was based on a hydrodynamic analysis of more than 3000 model catchments. The research plan was developed using Statistica software. On the other hand, the analysis of the results of hydrodynamic simulations was made possible through the use of artificial neural networks designed using the Python programming language. The research also confirmed that parameters such as the total catchment area, the percent of impervious area, and the type of soil within the catchment are crucial in the design process of these facilities. The results of this research can be considered when designing infiltration basins and tanks under Polish conditions. The described algorithm can also be used by other researchers to develop similar models based on different rainfall data. This will contribute to increasing the safety of urban infrastructure.

More from our Archive

• DOI: 10.3390/w15142572 2023

  Advanced Machine Learning Techniques to Improve Hydrological Prediction: A Comparative Analysis of Streamflow Prediction Models

  Vijendra Kumar, Naresh Kedam, Kul Vaibhav Sharma, Darshan J. Mehta, Tommaso Caloiero

• DOI: 10.3390/hydrology10070141 2023

  Comprehensive Overview of Flood Modeling Approaches: A Review of Recent Advances

  Vijendra Kumar, Kul Sharma, Tommaso Caloiero, Darshan Mehta, Karan Singh

• DOI: 10.3390/w15142532 2023

  Human Health Risks due to Exposure to Water Pollution: A Review

  Preethi Babuji, Subramani Thirumalaisamy, Karunanidhi Duraisamy, Gopinathan Periyasamy

• DOI: 10.1002/eem2.12651 2023

  Recent Research Progress of Paper‐Based Supercapacitors Based on Cellulose

  Chuanyin Xiong, Tianxu Wang, Jing Han, Zhao Zhang, Yonghao Ni

• DOI: 10.3390/w15132481 2023

  The Vital Roles of Parent Material in Driving Soil Substrates and Heavy Metals Availability in Arid Alkaline Regions: A Case Study from Egypt

  Manal Alnaimy, Ahmed Elrys, Martina Zelenakova, Katarzyna Pietrucha-Urbanik, Abdel-Rahman Merwad

• DOI: 10.2166/wcc.2023.056 2023

  Spatial distribution of the contamination and risk assessment of potentially harmful elements in the Ghizer River Basin, northern Pakistan

  Ayaz Ul Haq, Said Muhammad, Cem Tokatli

• DOI: 10.3390/w15142511 2023

  An Improved Flood Susceptibility Assessment in Jeddah, Saudi Arabia, Using Advanced Machine Learning Techniques

  Abdulnoor A. J. Ghanim, Ahmad Shaf, Tariq Ali, Maryam Zafar, Ahmed M. Al-Areeq, Saleh H. Alyami, Muhammad Irfan, Saifur Rahman

• DOI: 10.1002/wat2.1679 2023

  Hydrochemical and isotopic evaluation of groundwater and river water in the transboundary Silala River watershed

  Ramon Aravena, Christian Herrera, Javier Urrutia

• DOI: 10.1039/d3va00057e 2023

  Enhanced plastic economy: a perspective and a call for international action

  Kuok Ho Daniel Tang

• DOI: 10.3390/w15132438 2023

  Morphometric Determination and Digital Geological Mapping by RS and GIS Techniques in Aseer–Jazan Contact, Southwest Saudi Arabia

  Mohd Yawar Ali Khan, Mohamed ElKashouty, Ali Mohammad Subyani, Fuqiang Tian