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Asif Khan ([email protected])
Asif Khan
Lead Author (Water chapter- AR6 IPCC)
Post Doctorate (Water-Energy-Food-Climate Change, IIASA, Austria)
PhD (Water and Climate Change, Cambridge University, UK)
Data challenges in Trans-boundary River Basins: Case Study of
the Upper Indus Basin
Asif Khan ([email protected])
Academics: PhD in Water and Climate
PGS in GIS and RS
EMBA Project Management
B.Sc Civil Engineering
Asif Khan ([email protected])
Work Experience:
NESPAK (Site cum Design Engineer)
Irrigation and Hydle Department , Khyber Pakhtunkhwa (SDO)
FATA Secretariat (Deputy Director Technical)
Asian Development Bank (Hydraulic Design Engineer and Climate Change Expert)
IIASA, Austria (Research Associate)
UET, Peshawar (Assistant Professor)
University of Cambridge (Graduate Supervisor)
LUMS, WIT, Lahore (Research Director)
Asif Khan ([email protected])
Current/Past Research:
Asif Khan ([email protected])
Outline
o Global Problems
o Potential and problems related to the Indus Basin
o Case study of the Upper Indus Basin
o Hydrological modelling improvement needs
o Conclusions and Recommendations
o Questions and Answers
Asif Khan ([email protected])
Global challengeso Population growth
o Global warming and climate change
Increased population will need more: i) water supply, ii) food production, iii) energy
production/supply, iv) flood and drought mitigation, v) urbanization, and
v) industrial development
Source: UN: facts and trends (2006)
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Global challengeso Population growth
o Global warming and climate change
Global mean surface temperature increased by 0.74 +/- 0.18 °C during 1906-2005, while
projected expected increase is 1.4 to 5.8 °C during 1990 to 2100 (IPCC 2007, 2013)
Source: (Inman 2010)
Global warming is causing glacier retreat,
Severity in floods and droughts,
Increasing water scarcity,
Increasing slope instability and landslides,
Increasing Glacier Lake Outburst Floods (GLOFs)
Reservoir sedimentation,
Forest fires, and
Increasing water losses/evapotranspiration
Adverse impact on Eco-system
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The Indus Basin
Asif Khan ([email protected])
The Indus Basin
The Indus Basin
originates from
the Hindukush-
Karakoram-
Himalaya and
Tibetan Plateau
(HKH-TP) region,
and runs from the
north to south.
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The Indus Basin
The Indus Basin Irrigation
System (IBIS) is one of the
largest in the world
Fulfills ~ 90% of the
irrigation needs
Cater for > 33% of energy
needs (mostly in Pakistan)
More than 56-70% of
Pakistan and India’s
population is dependent on
agriculture
Agriculture contribute ~24%
in annual GDP of Pakistan
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Snow- and Glacier-melt runoff modelling
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Water: water scarcity
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Hydro-power potential in the Indus Basin
The potential hydropower in the Indus Basin (within Pakistan) is 60,158 MW.
The potential hydropower in the Indus Basin (within India) is about 50% compared to
Pakistan, although India’s current installed capacity is more than Pakistan
Of the available potential, only 6,750 MW is installed, ~1,735 is under construction, while
19,353 MW is under planning in Pakistan
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Hydro-power potential in the Indus Basin
More than 22 hydro-power projects are planned/under-construction in the UIB (PPIB, 2011)
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Issues/Problems
Asian temperature rise is greater than world’s average temperature rise (IPCC 2013)
According to CMIP 5, under the RCP 4.5, the expected temperature rise is about 2oC
(relative to 1961-1990) in the whole HKH during 2021-2050,
The HKH-TP region has a glacier area of about 33,000 km2 (ICIMOD, 2009) and
contains about 12,000 km3 of freshwater (IPCC, 2013)
Glaciers in the western Himalayas, Hindukush, and eastern Karakoram are losing
mass at a high rate (Kaab et al., 2012, 2015, Gardelle et al., 2012, 2013)
Glaciers in the western Karakoram are advancing and bear slightly negative mass
balance during the last decade (Kaab et al., 2012, 2015; Gardelle et al., 2012, 2013)
Monsoon precipitation became more intense and frequent in the last four decades,
and is responsible for floods in the region (Wang et al., 2011)
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Issues/Problems Snow- and glacier-melt contributes more than 80% in stream flows in various sub-
basins of the Indus Basin
Any change in temperature or snow-fall or
snow-/glacier-melt will cause significant
ramification on downstream water
resources
Land sliding and floods may affect existing
and ongoing projects, such as Pak-China
economic corridor
Historic civilization in the northern Indus
basin is under threat due to floods, and
proposed reservoirs
There are more than 1800 glacial lakes, of
which >50 are potentially dangerous
(Campbell, 2005)
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Issues/Problems: Sedimentation
Sedimentation at Tarbela Dam (Ali and Deboer, 2007)
Tarbela Dam lost ~31% of storage capacity during 1978-2015,
Mangla Dam lost ~ 18% (1967-2009),
Chashma barrage lost 51% during 1971-2009
Sedimentation will rise with increase in snow and glacier melt
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Constraints: variability in modelled flows
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Constraints: variability in flow components
Hunza basin (Karakoram)
Astore basin (Himalayas)
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Constraints: potential causes
Use of different hydrological models
Use of different time period data
Use of different input datasets
Basin Boundaries
Precipitation Datasets
Snow-cover Datasets
Glacier-cover Datasets
Snow and ice-melt parameters
Calibration Parameters
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Use of biased basin boundaries:
UIB1 is ~172,173 km2.
UIB2 is ~205,000 km2
UIB2 is ~266,000 km2
UIB 2 and 3 are
biased overestimated
boundaries
Most hydrological modelling studies have used overestimated basin boundaries
(UIB 2 & 3) for the UIB.
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Station
Elevation in the
original SRTM
DEM (m)
Critical Point 1a 4,253
Critical Point 1b 4,248
Critical Point 1c 4,275
Critical Point 1d 4,270
Pangong Lake
Water level
4,241
(For details see: Khan et al., 2014)
Beach Ridges (4,265m) are an evidence of Pangong Tso lake to be remained part of the UIB about 1,000
years ago, and current warming climate and melt-increment induces increment of water-surface level at a rate
of about 0.75-1 m per decade (Song et al., 2013; Khan et al., 2014)
Main cause of inaccurate basin delineation
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Uncertainty in estimated basin areas
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Potential Causes: use of different precipitation datasets
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Climate stations density in gridded precipitation datasets
Climatic stations density in
APHRODITE data based on
number of stations in 0.05o grid
Climatic stations density in
CRU TS 3.1 data based on
number of stations in 0.5o grid
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Precipitation datasets accuracy assessment
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Precipitation datasets accuracy assessment
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ISI-MIP precipitation and modelled flow
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Uncertainty in existing studies
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Snowmelt runoff modelling
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Use of biased melt rates:
Clean ice varies
between 30-35% of
total glacier area in
various basins
Available hydrological
modelling studies
adopted uniform ice
melt rates for the
entire glacier areas
In addition whole of
debris cover has been
assumed to be thick
*means seasonal, perennial snow and snow-covered ice
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ISI-MIP precipitation and modelled flow
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ISI-MIP precipitation and modelled flow
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Climate stations density in gridded precipitation datasets
Climatic stations density in
APHRODITE data based on
number of stations in 0.05o grid
Climatic stations density in
CRU TS 3.1 data based on
number of stations in 0.5o grid
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Modelled monthly flows (ISI-MIP)
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Use of underestimated snow-cover:
MODIS snow cover
data cannot
capture debris-
covered ice
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Use of underestimated snow-cover:
MODIS snow cover
data cannot capture
small glaciers
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Use of overestimated glacier areas:
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Use of overestimated glacier areas:
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ISI-MIP water scarcity
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FAO water scarcity
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Conclusions and Recommendations
Input hydro-climate datasets are partly biased due to non-availability, non-
accessibility and non-sharing of trans-boundary hydro-climate datasets
Almost all available hydrological modelling studies have encountered
significant biases due to use of overestimated basin areas, underestimated
precipitation, underestimated snow area, overestimated glacier areas, use of
biased melt rates, and other biased calibration parameters;
There is need of precise and accurate hydro-climatic modelling, and
identification of best available datasets and techniques suitable for the UIB;
Use of improved hydro-climate modelling is need of the time
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