Assessment of LID Performance through Integration of Permeable Pavements with Digital Twins
Publication: World Environmental and Water Resources Congress 2024
ABSTRACT
Urbanization is responsible for the alteration of the hydrologic flow regime, which, associated with the increase in frequency and intensity of storms caused by climate change, threatens the sustainability of urban stormwater systems. Low impact development (LID) are stormwater control measures designed to alleviate the impacts of urbanization and climate change by restoring the pre-development hydrologic characteristics of urban watersheds. More recent advancements in computation, communication, and sensing offer the opportunity for LID stormwater control measures to be monitored in real time with high-resolution data, which objectively assesses how the systems are performing. To achieve this goal, this study showcases a scalable, cost-effective monitoring framework suitable for the concept of digital twins, which are digital representations of systems states in real time. Such a framework has several benefits, including forecast and feedback for real-time operations. The proposed methodology uses ESP32 microcontrollers and open-source software for data collection, transmission, and analysis, such as data validation and sensor error detection. The study explores the integration of digital twins with four permeable pavement LID parking lots located on top of the Edwards Aquifer’s recharge zone, a major water source for South-Central Texas. The findings suggest that the LID control measures integrated with the digital twin framework can enhance systems operation, paving the way for smarter, more sustainable urban stormwater systems.
Get full access to this chapter
View all available purchase options and get full access to this chapter.
REFERENCES
Adu Boateng, E., Asibey, M. O., Cobbinah, P. B., Adutwum, I. O., and Blija, D. K. (2023). Enabling nature-based solutions: Innovating urban climate resilience. Journal of Environmental Management, 332(November 2022), 117433. https://doi.org/10.1016/j.jenvman.2023.117433.
Arvand, S., Ganji Noroozi, Z., Delghandi, M., and Alipour, A. (2023). Evaluating the impact of LID-BMPs on urban runoff reduction in an urban sub-catchment. Urban Water Journal, 20(5), 604–615. https://doi.org/10.1080/1573062X.2023.2207083.
Bean, E. Z., Hunt, W. F., and Bidelspach, D. A. (2007). Field Survey of Permeable Pavement Surface Infiltration Rates. Journal of Irrigation and Drainage Engineering, 133(3), 249–255. https://doi.org/10.1061/(asce)0733-9437(2007)133:3(249).
Bhosale, S. A., and Sonavane, S. S. (2022). Cyber-security in the internet of things. Artificial Intelligence, Internet of Things (IoT) and Smart Materials for Energy Applications, 169–185. https://doi.org/10.1201/9781003220176-11.
Brasil, J. A. T., de Macedo, M. B., de Oliveira, T. R. P., Ghiglieno, F. G., de Souza, V. C. B., e Silva, G. M., Gomes Júnior, M. N., de Souza, F. A. A., and Mendiondo, E. M. (2022). Can we scale Digital Twins of Nature-based Solutions for stormwater and transboundary water security projects? Journal of Hydroinformatics, 24(4), 749–764. https://doi.org/10.2166/hydro.2022.142.
Brasil, J. A. T., de Macedo, M. B., de Oliveira, T. R. P., Ghiglieno, F. G., de Souza, V. C. B., Marinho e Silva, G., Gomes Júnior, M. N., de Souza, F. A. A., and Mendiondo, E. M. (2022). Can we scale Digital Twins of Nature-based Solutions for stormwater and transboundary water security projects? Journal of Hydroinformatics, 24(4), 749–764. https://doi.org/10.2166/hydro.2022.142.
Brasil, J., Macedo, M., Lago, C., Oliveira, T., Júnio, M., Oliveira, T., and Mendiondo, M. (2021). Nature-Based Solutions and Real-Time Control: Challenges and Opportunities. Water, 13, 651. https://doi.org/https://doi.org/10.3390/w13050651.
Brasil, J. Permeable Pavement Monitoring Code Source [Computer software]. https://github.com/arturbra/PP_arduino.
Chen, T., Wang, M., Su, J., Ikram, R. M. A., and Li, J. (2023). Application of Internet of Things (IoT) Technologies in Green Stormwater Infrastructure (GSI): A Bibliometric Review. Sustainability (Switzerland), 15(18). https://doi.org/10.3390/su151813317.
Cheng, H., Park, C. Y., Cho, M., and Park, C. (2023). Water requirement of Urban Green Infrastructure under climate change. Science of the Total Environment, 893(June), 164887. https://doi.org/10.1016/j.scitotenv.2023.164887.
Eggimann, S., Mutzner, L., Wani, O., Schneider, M. Y., Spuhler, D., Moy De Vitry, M., Beutler, P., and Maurer, M. (2017). The Potential of Knowing More: A Review of Data-Driven Urban Water Management. Environmental Science and Technology, 51(5), 2538–2553. https://doi.org/10.1021/acs.est.6b04267.
Ferré-Bigorra, J., Casals, M., and Gangolells, M. (2022). The adoption of urban digital twins. Cities, 131(March). https://doi.org/10.1016/j.cities.2022.103905.
Frantzeskaki, N., et al. (2019). Nature-based solutions for urban climate change adaptation: Linking science, policy, and practice communities for evidence-based decision-making. BioScience, 69(6), 455–466. https://doi.org/10.1093/biosci/biz042.
García, L., Barreiro-Gomez, J., Escobar, E., Téllez, D., Quijano, N., and Ocampo-Martinez, C. (2015). Modeling and real-time control of urban drainage systems: A review. Advances in Water Resources, 85(June 2018), 120–132. https://doi.org/10.1016/j.advwatres.2015.08.007.
Harvey, C., Neidich, B., Ellis, R., Gomez, D. O., Belton, A., and Bathi, J. R. (2021). Retrofit Upgrade of Stormwater Controls with Real-Time Mechanism for Smart and Sustainable Urban Water Resources Management. 2021 31st Waste-Management Education Research Conference, WERC 2021, 02, 1–9. https://doi.org/10.1109/WERC52047.2021.9477537.
Javed, A. R., Shahzad, F., ur Rehman, S., Zikria, Y. B., Razzak, I., Jalil, Z., and Xu, G. (2022). Future smart cities requirements, emerging technologies, applications, challenges, and future aspects. Cities, 129(May), 103794. https://doi.org/10.1016/j.cities.2022.103794.
Kim, D., Park, J., Han, H., Lee, H., Kim, H. S., and Kim, S. (2023). Application of AI-Based Models for Flood Water Level Forecasting and Flood Risk Classification. KSCE Journal of Civil Engineering, 27(7), 3163–3174. https://doi.org/10.1007/s12205-023-2175-5.
Livingston, G. (2015). Bioretention Establishment Hydrologic Characterization with Drift Correction and Calibration of Fine Water Level Measurements. https://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/9z903320s.
Madakam, S., Ramaswamy, R., and Tripathi, S. (2015). Internet of Things (IoT): A Literature Review. Journal of Computer and Communications, 03(05), 164–173. https://doi.org/10.4236/jcc.2015.35021.
Mashaly, M. (2021). Connecting the twins: A review on digital twin technology & its networking requirements. Procedia Computer Science, 184, 299–305. https://doi.org/10.1016/j.procs.2021.03.039.
Negri, E., Fumagalli, L., and Macchi, M. (2017). A Review of the Roles of Digital Twin in CPS-based Production Systems. Procedia Manufacturing, 11(June), 939–948. https://doi.org/10.1016/j.promfg.2017.07.198.
Oberascher, M., Rauch, W., and Sitzenfrei, R. (2022). Towards a smart water city: A comprehensive review of applications, data requirements, and communication technologies for integrated management. Sustainable Cities and Society, 76(October 2021), 103442. https://doi.org/10.1016/j.scs.2021.103442.
Olufon, T., Campbell, C. E. A., Hole, S., Radhakrishnan, K., and Sedigh, A. (2014). Mitigating external threats in wireless local area networks. International Journal of Communication Networks and Information Security, 6(3), 200–216. https://doi.org/10.17762/ijcnis.v6i3.797.
Persaud, P. P., Akin, A. A., Kerkez, B., McCarthy, D. T., and Hathaway, J. M. (2019). Real time control schemes for improving water quality from bioretention cells. Blue-Green Systems, 1(1), 55–71. https://doi.org/10.2166/bgs.2019.924.
Persaud, P. P., Hathaway, J. M., Kerkez, B., and McCarthy, D. T. (2024). Real-Time Control and Bioretention: Implications for Hydrology. Journal of Sustainable Water in the Built Environment, 10(1). https://doi.org/10.1061/jswbay.sweng-527.
Petersen, S., Myhre, B., and Røstum, J. (2014). Wireless instrumentation for the water and wastewater industry. Procedia Engineering, 70(1877), 1314–1323. https://doi.org/10.1016/j.proeng.2014.02.145.
Rahimi, M., and Ebrahimi, H. (2023). Data driven of underground water level using artificial intelligence hybrid algorithms. Scientific Reports, 13(1), 1–14. https://doi.org/10.1038/s41598-023-35255-9.
Ramos, H. M., Kuriqi, A., Coronado-Hernández, O. E., López-Jiménez, P. A., and Pérez-Sánchez, M. (2023). Are digital twins improving urban-water systems efficiency and sustainable development goals? Urban Water Journal, 00(00), 1–13. https://doi.org/10.1080/1573062X.2023.2180396.
Shen, P., Deletic, A., Bratieres, K., and McCarthy, D. T. (2020). Real time control of biofilters delivers stormwater suitable for harvesting and reuse. Water Research, 169, 115257. https://doi.org/10.1016/j.watres.2019.115257.
Silva, G. M. E., Campos, D. F., Brasil, J. A. T., Tremblay, M., Mendiondo, E. M., and Ghiglieno, F. (2022). Advances in Technological Research for Online and In Situ Water Quality Monitoring—A Review. Sustainability (Switzerland), 14(9), 1–28. https://doi.org/10.3390/su14095059.
Singapore. (2016). Managing the water distribution network with a Smart Water Grid. Smart Water, 1(1), 4. https://doi.org/10.1186/s40713-016-0004-4.
Spatari, S., Yu, Z., and Montalto, F. A. (2011). Life cycle implications of urban green infrastructure. Environmental Pollution, 159(8–9), 2174–2179. https://doi.org/10.1016/j.envpol.2011.01.015.
Texas Comission on Environmental Quality. (2005). Complying with the Edwards Aquifer Rules: Technical Guidance on Best Management Practices. June. https://www.tceq.texas.gov/publications/rg/rg-348.
Wang, Z., Song, H., Watkins, D. W., Ong, K. G., Xue, P., Yang, Q., and Shi, X. (2015). Cyber-physical systems for water sustainability: Challenges and opportunities. IEEE Communications Magazine, 53(5), 216–222. https://doi.org/10.1109/MCOM.2015.7105668.
Weil, C., Bibri, S. E., Longchamp, R., Golay, F., and Alahi, A. (2023). Urban Digital Twin Challenges: A Systematic Review and Perspectives for Sustainable Smart Cities. Sustainable Cities and Society, 99(August). https://doi.org/10.1016/j.scs.2023.104862.
Wu, M. W., and Lin, Y. D. (2001). Open source software development: An overview. Computer, 34(6), 33–38. https://doi.org/10.1109/2.928619.
Information & Authors
Information
Published In
World Environmental and Water Resources Congress 2024
Pages: 254 - 267
History
Published online: May 16, 2024
ASCE Technical Topics:
- Business management
- Climate change
- Climates
- Data analysis
- Engineering fundamentals
- Environmental engineering
- Hydrologic engineering
- Hydrology
- Infrastructure
- Methodology (by type)
- Practice and Profession
- Research methods (by type)
- Stormwater management
- Sustainable development
- Urban and regional development
- Urban areas
- Water and water resources
- Water treatment
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.