Stewart, Lisa
ORCID: https://orcid.org/0000-0003-4246-6645; Mondal, Arpita; Griffin, Adam
ORCID: https://orcid.org/0000-0001-8645-4561.
2021
Flood risk management.
In: Sarkar, Sunita; Dixon, Harry
ORCID: https://orcid.org/0000-0002-7415-063X, (eds.)
Emerging science for sustainable water resource management: a guide for water professionals and practitioners in India.
Wallingford, UK Centre for Ecology & Hydrology, 26-33.
Abstract
Chapter 3. Globally, floods are the most common
of all natural disasters. They lead to loss of
life, extensive disruption and major economic
impacts. Flood risk is expected to increase
in the future because of changes in extreme
weather patterns caused by long-term
climate change. According to the UN Office
for Disaster Risk Reduction, India has experienced
an average of 17 floods per year over
the period 2000 to 2019, affecting approximately
345 million people (UNDRR 2020).
Estimating the risk and severity of floods both
now and in the future is vital for the design
and management of infrastructure such as
flood management schemes, dams, hydropower
projects and irrigation systems. Flood
frequency estimates are also a key source of
information for flood risk maps and insurance
applications. The key challenge is closing
the gap between research and practice in
design flood estimation in India. This chapter
introduces new statistical and modelling
techniques for generating spatially consistent
flood frequency estimates, moving away from simple regional equations. These new
techniques are flexible, robust, and can easily
be applied to local data. A particular advantage
of the combined approach is that it has
the potential to incorporate projected changes
in climate, and thus to establish the likely
effects of these changes on flood frequency.
Here, the application of these methods to river
catchments in the State of Maharashtra is
shared, but the approach has the potential for
national application in hydrological design and
flood risk assessment throughout India.
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