Development of a Physics-Guided Neural Network Model for Effective Urban Flood Management-Reference-Cited by-同舟云学术

Development of a Physics-Guided Neural Network Model for Effective Urban Flood Management

Published:2022-09 Issue:9 Volume:27 Page:
ISSN:1084-0699
Container-title:Journal of Hydrologic Engineering
language:en
Short-container-title:J. Hydrol. Eng.

Author:

Balakrishna Madayala Arjun¹^ORCID,Jain Ashu²,Lohani Bharat³

Affiliation:

1. Scientist, Dept. of Space, Govt. of India, North Eastern Space Applications Centre, Umiam, Meghalaya 793103, India (corresponding author). ORCID: .

2. Former Professor, Dept. of Civil Engineering, Indian Institute of Technology Kanpur, Kalyanpur, Uttar Pradesh 208016, India.

3. Professor, Dept. of Civil Engineering, Indian Institute of Technology Kanpur, Kalyanpur, Uttar Pradesh 208016, India.

Publisher

American Society of Civil Engineers (ASCE)

Subject

General Environmental Science,Water Science and Technology,Civil and Structural Engineering,Environmental Chemistry

Link

https://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29HE.1943-5584.0002196

Reference85 articles.

1. Emulation of 2D Hydrodynamic Flood Simulations at Catchment Scale Using ANN and SVR

2. Aroonnet S. B. 2008. “Applications of the innovative modeling of urban surface flooding in the UK case studies.” In Proc. 11th ICUSD. London: International Water Association.

3. Introduction Neural networks in remote sensing

4. Characterising performance of environmental models

5. Modeling urban floods and drainage using SWMM and MIKE URBAN: a case study

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