Novel physics informed-neural networks for estimation of hydraulic conductivity of green infrastructure as a performance metric by solving Richards–Richardson PDE
Author:
Funder
Division of Civil, Mechanical and Manufacturing Innovation
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-023-09378-z.pdf
Reference35 articles.
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2. Hanna E, Comín FA (2021) Urban green infrastructure and sustainable development: a review. Sustainability. https://doi.org/10.3390/su132011498
3. Clary J, Leisenring M, Jones J, Hobson P, Strecker E (2020) International stormwater BMP database: 2020 summary statistics. Water Res Found 4968:1–118
4. William R, Gardoni P, Stillwell AS (2019) Reliability-based approach to investigating long-term clogging in green stormwater infrastructure. J Sustain Water Built Environ. https://doi.org/10.1061/jswbay.0000875
5. Zhang K, Chui TFM (2019) A review on implementing infiltration-based green infrastructure in shallow groundwater environments: challenges, approaches, and progress. J Hydrol. https://doi.org/10.1016/j.jhydrol.2019.124089
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