Environmental Science Processes & Impacts,
Journal Year:
2015,
Volume and Issue:
17(8), P. 1359 - 1362
Published: Jan. 1, 2015
This
highlight
features
four
recent
publications
on
an
ESPA
project
in
the
Ganges–Brahmaputra–Meghna
(GBM)
delta
system,
emphasizing
their
balance
between
fundamental
questions
and
user-oriented
outputs.
Journal of Hydrology Regional Studies,
Journal Year:
2018,
Volume and Issue:
16, P. 32 - 53
Published: March 18, 2018
Ganga
River
basin.
The
availability
of
freshwater
has
been
recognized
as
a
global
issue,
and
the
reliable
evaluation
quantification
it
within
basin
is
necessary
to
bolster
sustainable
management
water.
For
this
purpose
basin-scale
SWAT
model
developed.
Model
validation
showed
that
simulated
results
were
consistent
with
observed
data
in
reproducing
seasonal
dynamics
surface
water
suggest
capable
hydrological
features
including
snow
melt.
However,
there
are
large
variations
both
temporal
spatial
distribution
components.
Statistical
methods
have
used
for
detecting
trends
critical
changes
streamflow.
It
found
although
streamflow
from
fed
areas
increased,
stream
flow
lower
reaches
non-perennial
tributaries
declined
significantly.
This
decline
can
be
attributed
anthropogenic
exogenous
changes.
study
also
establishes
substantial
reduction
overall
resources
respect
Virgin.
information
sets
yardstick
restoration
environmental
health
lead
better
under
scarcity.
Hydrological Sciences Journal,
Journal Year:
2018,
Volume and Issue:
63(5), P. 763 - 782
Published: March 2, 2018
Identification
of
factors
controlling
sediment
dynamics
under
natural
flow
regimes
can
establish
a
baseline
for
quantifying
effects
present
day
hydrological
alteration
and
future
climate
change
on
delivery
associated
flooding.
The
process-based
INCA-Sediment
model
was
used
to
simulate
Ganga
River
transport
conditions
quantify
possible
changes
using
three
contrasting
scenarios.
Construction
barrages
canals
has
significantly
altered
regimes,
with
profound
consequences
transport.
Projected
increases
in
monsoonal
precipitation
will
lead
higher
peak
flows,
increasing
flood
frequency
greater
water
availability.
Increased
groundwater
recharge
during
monsoon
periods
rates
evaporation
due
increased
temperature
complicate
projections
availability
non-monsoon
periods.
Rainfall
land
surface
interaction
high-relief
areas
drive
uncertainties
Upper
loads.
However,
flows
increase
erosion
western
lower
reaches.
Remote Sensing,
Journal Year:
2019,
Volume and Issue:
11(5), P. 501 - 501
Published: March 1, 2019
Sustainable
water
management
is
one
of
the
important
priorities
set
out
in
Development
Goals
(SDGs)
United
Nations,
which
calls
for
efficient
use
natural
resources.
Efficient
nowadays
depends
a
lot
upon
simulation
models.
However,
availability
limited
hydro-meteorological
data
together
with
sharing
practices
prohibits
modelling
and
consequently
flood
risk
sparsely
gauged
basins.
Advances
remote
sensing
has
significantly
contributed
to
carrying
hydrological
studies
ungauged
or
In
particular,
global
datasets
observations
(e.g.,
rainfall,
evaporation,
temperature,
land
use,
terrain,
etc.)
allow
develop
hydraulic
models
catchments.
this
research,
we
have
considered
large
scale
modelling,
using
freely
available
datasets,
trans-boundary
Brahmaputra
basin,
an
enormous
potential
terms
agriculture,
hydropower,
supplies
other
utilities.
A
semi-distributed
conceptual
model
was
developed
HEC-HMS
(Hydrologic
Modelling
System
from
Hydrologic
Engineering
Centre).
Rainfall
estimates
Tropical
Measuring
Mission
(TRMM)
compared
gauge
used
simulation.
The
Nash
Sutcliffe
coefficient
uncorrected
rainfall
calibration
validation
were
0.75
0.61
respectively
whereas
similar
values
corrected
0.81
0.74.
output
as
boundary
condition
lateral
inflow
model.
results
obtained
remotely
sensed
products
discharge
at
basin
outlet
(Bahadurabad)
altimetry
Jason-2
satellite.
simulated
inundation
maps
lower
part
showed
reasonably
good
match
probability
detection,
success
ratio
critical
index.
Overall,
study
demonstrated
that
reliable
robust
can
be
both
only
input
Sustainability,
Journal Year:
2018,
Volume and Issue:
10(5), P. 1660 - 1660
Published: May 21, 2018
Reservoirs
are
recognized
as
one
of
the
most
efficient
infrastructure
components
in
integrated
water
resources
management.
At
present,
with
ongoing
advancement
social
economy
and
requirement
water,
shortage
problem
has
worsened,
operation
reservoirs,
terms
consumption
flood
become
significantly
important.
To
achieve
optimal
reservoirs
operating
policies,
a
considerable
amount
optimization
simulation
models
have
been
introduced
course
recent
years.
Subsequently,
assessment
estimation
that
is
associated
reservoir
stays
conventional.
In
present
study,
Soil
Water
Assessment
Tool
(SWAT)
Genetic
Algorithm
model
employed
to
two
Ganga
River
basin,
India
order
obtain
operational
policies.
The
objective
function
added
reduce
yearly
sum
squared
deviation
from
preferred
storage
capacity
required
release
for
irrigation
purpose.
rule
curves
were
estimated
via
random
search
discovered
be
consistent
demand
requests.
Thus,
case
on
basis
generated
result,
it
concluded
GA-derived
rules
competitive
promising,
can
efficiently
used
derivation
reservoir.