Model Library

Capabilities

• It simplifies urban water cycle simulation with enhanced visualization and analysis capabilities (Cao et al., 2023);
• It accurately models interactions between pipe networks and surface water to simulate runoff and flooding (Wang et al., 2023);
• It provides scalable capabilities and highly precise hydrological modeling and projections (Wang et al., 2024).
• It simplifies the modeling process and integrates various water resource simulations (Wang et al., 2024).
• It supports diverse data formats, including GIS, CAD, Excel, SQL, and Oracle, for optimizing urban drainage system designs (Wang et al., 2024).

Limitations

• Not open-source;
• Independent InfoWorks ICM models lack comprehensive 2D representation of rainfall-runoff scenarios across surface, drainage, and river systems, requiring integration of multiple sub-models to simulate water exchange processes accurately (Gong et al., 2024);
• Cloud databases do not support simulation re-runs (Autodesk, 2024);
• Ground models larger than 2GB cannot be uploaded to the cloud (Autodesk, 2024);
• Certain objects cannot be copied or created in a cloud database (Autodesk, 2024);
• Results cannot be transferred from a cloud database to an on-premise database, either directly or via a transportable database (Autodesk, 2024).
• Simulation results may differ in InfoWorks ICM due to different processing technologies, which may impact the numerically sensitive models (Autodesk, 2024)

Inputs

Topography data, Soil data, LULC data, Boundary conditions, Meteorological data, Hydrological data, Hydraulic data, Water quality data, Control structures data.

Outputs

• The software is mainly utilized for modeling, evaluating, and improving urban drainage system designs (Wang et al., 2024).
• Hydrological parameters: surface runoff parameters, Infiltration parameters, and evaporation parameters.
• Water quality parameters: conservative determinants, pH, algae, decaying determinants, temperature, macrophytes, sediment fractions, DO, H2S, coliforms, user defined processes, and salt.

References

Song, W., Wang, S. Z., Zhao, J., Xu, S. L., Zhou, X. F., & Zhang, Y. L. (2023). Comprehensive treatment for river pollution in a coastal city with a complex river network: A case study in Sanya, China. Sustainability, 15(8), 6830. https://doi.org/10.3390/su15086830

Wang, J., Zhou, X., Wang, S., Chen, L., & Shen, Z. (2023). Simulation and comprehensive evaluation of the multidimensional environmental benefits of sponge cities. Water, 15(14), 2590. https://doi.org/10.3390/w15142590

Objectives

The objectives of the study are to build a hydraulic and water quality model using InfoWorks ICM to analyze the pollution status quo in Sanya, China, and to establish a comprehensive treatment scheme to mitigate pollutant emissions, regulate pollution sources, and minimize the impact on the water environment.

The objective of the study is to simulate and comprehensively evaluate the multidimensional environmental benefits (hydrological regulation, nonpoint source reduction, and ecological improvement) of grey and green infrastructure retrofitting in the Beijing Normal University study area.