A Data Driven Approach to Identify Rainfall Derived Inflow and Infiltration in Sanitary Sewer Sub-catchments
- ADS bibcode
- 2019AGUFMNH41B0925Z
- year
- 2019
- Listed Authors
- Zhang, Z.
- Laakso, T.
- Pulkkinen, S.
- Ahopelto, S.
- Zhang, C.
- Li, Y.
- Cai, X.
- Sheng, Z.
- Vahala, R.
- Virrantaus, K.
- Listed Institutions
- Texas A&M University College Station, College Station, TX, United States
- Department of Built Environment, Aalto University, Espoo, Finland
- Finnish Meteorological Institute, Helsinki, Finland
- Department of Built Environment, Aalto University, Espoo, Finland
- School of Hydraulic Engineering, Dalian University of Technology, Dalian, China
- School of Hydraulic Engineering, Dalian University of Technology, Dalian, China
- Department of Civil and Environmental Engineering, University of Illinois at Urbana Champaign, Urbana, IL, United States
- Texas A&M AgriLife Research, El Paso, TX, United States
- Department of Built Environment, Aalto University, Espoo, Finland
- Department of Built Environment, Aalto University School of Engineering, Espoo, Finland
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Linked Institutions