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Development of India’s First Integrated Expert Urban Flood Forecasting System for Chennai


Affiliations
1 Department of Civil Engineering, Indian Institute of Technology Bombay, Mumbai 400 076, India
2 Interdisciplinary Program in Climate Studies, Indian Institute of Technology Bombay, Mumbai 400 076, India
3 Environmental Science and Engineering, Indian Institute of Technology Bombay, Mumbai 400 076, India
4 National Centre for Coastal Research, NIOT Campus, Velacherry–Tambaram Main Road, Pallikaranai, Chennai 600 100, India
5 National Centre for Medium Range Weather Forecasting, Ministry of Earth Sciences, Government of India, A-50, Sector-62, Noida 201 309, India
6 Indian National Centre for Ocean Information Services, Pragathi Nagar (BO), Nizampet (SO), Hyderabad 500 090, India
7 Department of Civil Engineering, Indian Institute of Technology Madras, Chennai 600 036, India
8 Institute of Remote Sensing, Anna University, Chennai 600 040, India
9 Centre of Studies in Resources Engineering, Indian Institute of Technology Bombay, Mumbai 400 076, India
10 Department of Civil Engineering, Indian Institute of Science, Bengaluru 560 012, India
11 India Meteorological Department, New Delhi 110 003, India
12 Office of the Principal Scientific Adviser to the Government of India, Vigyan Bhavan Annexe, Maulana Azad Road, New Delhi 110 011, India
13 National Institute of Advanced Studies, Indian Institute of Science Campus, Bengaluru 560 012, India
 

Floods are the most common and recurring natural hazards faced by humans since time immemorial. They pose a severe threat to the population, environment and economy in many places across the world, especially urban areas. Urbanization caused due to increasing migration into the floodplains has substantially increased the trend of devastation due to floods in a developing country like India. In Chennai and the surrounding suburban areas, torrential rainfall associated with low-pressure systems engulfed the city during December 2015, affecting more than 4 million people along with economic damages that cost around 3 billion USD.
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Abstract Views: 428

PDF Views: 127




  • Development of India’s First Integrated Expert Urban Flood Forecasting System for Chennai

Abstract Views: 428  |  PDF Views: 127

Authors

Subimal Ghosh
Department of Civil Engineering, Indian Institute of Technology Bombay, Mumbai 400 076, India
Subhankar Karmakar
Interdisciplinary Program in Climate Studies, Indian Institute of Technology Bombay, Mumbai 400 076, India
Anamitra Saha
Department of Civil Engineering, Indian Institute of Technology Bombay, Mumbai 400 076, India
Mohit Prakash Mohanty
Environmental Science and Engineering, Indian Institute of Technology Bombay, Mumbai 400 076, India
Shees Ali
Department of Civil Engineering, Indian Institute of Technology Bombay, Mumbai 400 076, India
Satya Kiran Raju
National Centre for Coastal Research, NIOT Campus, Velacherry–Tambaram Main Road, Pallikaranai, Chennai 600 100, India
Vrinda Krishnakumar
Department of Civil Engineering, Indian Institute of Technology Bombay, Mumbai 400 076, India
Maneesha Sebastian
Department of Civil Engineering, Indian Institute of Technology Bombay, Mumbai 400 076, India
Manasa Ranjan Behera
Department of Civil Engineering, Indian Institute of Technology Bombay, Mumbai 400 076, India
R. Ashrit
National Centre for Medium Range Weather Forecasting, Ministry of Earth Sciences, Government of India, A-50, Sector-62, Noida 201 309, India
P. L. N. Murty
Indian National Centre for Ocean Information Services, Pragathi Nagar (BO), Nizampet (SO), Hyderabad 500 090, India
K. Srinivas
Indian National Centre for Ocean Information Services, Pragathi Nagar (BO), Nizampet (SO), Hyderabad 500 090, India
B. Narasimhan
Department of Civil Engineering, Indian Institute of Technology Madras, Chennai 600 036, India
Tune Usha
National Centre for Coastal Research, NIOT Campus, Velacherry–Tambaram Main Road, Pallikaranai, Chennai 600 100, India
M. V. Ramana Murthy
National Centre for Coastal Research, NIOT Campus, Velacherry–Tambaram Main Road, Pallikaranai, Chennai 600 100, India
P. Thiruvengadam
Department of Civil Engineering, Indian Institute of Technology Bombay, Mumbai 400 076, India
J. Indu
Department of Civil Engineering, Indian Institute of Technology Bombay, Mumbai 400 076, India
D. Thirumalaivasan
Institute of Remote Sensing, Anna University, Chennai 600 040, India
John P. George
National Centre for Medium Range Weather Forecasting, Ministry of Earth Sciences, Government of India, A-50, Sector-62, Noida 201 309, India
S. Gedam
Centre of Studies in Resources Engineering, Indian Institute of Technology Bombay, Mumbai 400 076, India
A. B. Inamdar
Centre of Studies in Resources Engineering, Indian Institute of Technology Bombay, Mumbai 400 076, India
B. S. Murty
Department of Civil Engineering, Indian Institute of Technology Madras, Chennai 600 036, India
P. P. Mujumdar
Department of Civil Engineering, Indian Institute of Science, Bengaluru 560 012, India
M. Mohapatra
India Meteorological Department, New Delhi 110 003, India
Arun Bhardwaj
Office of the Principal Scientific Adviser to the Government of India, Vigyan Bhavan Annexe, Maulana Azad Road, New Delhi 110 011, India
Swati Basu
Office of the Principal Scientific Adviser to the Government of India, Vigyan Bhavan Annexe, Maulana Azad Road, New Delhi 110 011, India
Shailesh Nayak
National Institute of Advanced Studies, Indian Institute of Science Campus, Bengaluru 560 012, India

Abstract


Floods are the most common and recurring natural hazards faced by humans since time immemorial. They pose a severe threat to the population, environment and economy in many places across the world, especially urban areas. Urbanization caused due to increasing migration into the floodplains has substantially increased the trend of devastation due to floods in a developing country like India. In Chennai and the surrounding suburban areas, torrential rainfall associated with low-pressure systems engulfed the city during December 2015, affecting more than 4 million people along with economic damages that cost around 3 billion USD.

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DOI: https://doi.org/10.18520/cs%2Fv117%2Fi5%2F741-745