Sustainable Management of the Ganga with Innovative Remote Sensing Methods - Patrice Carbonneau Rajiv Sinha S.K. Tandon Dave Milledge

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Sustainable Management of the Ganga with Innovative Remote Sensing Methods - Patrice Carbonneau Rajiv Sinha S.K. Tandon Dave Milledge
Sustainable Management of
the Ganga with Innovative
Remote Sensing Methods

      Patrice Carbonneau
          Rajiv Sinha
          S.K. Tandon
        Dave Milledge
Sustainable Management of the Ganga with Innovative Remote Sensing Methods - Patrice Carbonneau Rajiv Sinha S.K. Tandon Dave Milledge
Major Objectives of the project
• Use remote sensing to
                              Reach of the Ganga
  examine and monitor river   near Narora
  connectivity in the Ganga
  Basin
• Use reduced complexity
  modelling to get easy
  predictions of pollution
  levels in the Ganga
• Development of a GIS
  Platform: Spaceborne
                                                   Channel
  Observation and Analysis                         Networks
  of Rivers (S.O.A.R)
Sustainable Management of the Ganga with Innovative Remote Sensing Methods - Patrice Carbonneau Rajiv Sinha S.K. Tandon Dave Milledge
Basic Premises
• Humans have had a strong impact
  on the river building dams,
  removing water and also polluting
  the water.
• These changes in the network of
  the river and in the quality of its
  waters have had a dramatic
  impact on the ecosystem of the
  Ganga.
• Efforts to restore the Ganga are
  once again a high priority for
  central and state governments
• We need both new science and
  new management if the Ganga is
  to be restored to a sustainable       Nature, September 30, 2010
  status
Sustainable Management of the Ganga with Innovative Remote Sensing Methods - Patrice Carbonneau Rajiv Sinha S.K. Tandon Dave Milledge
Network Metrics

With the Network created,
we can calculate a few
simple network measures:

• Full list of possible paths
• Reachability: list if 2
  nodes are connected via
  a path.
• Centrality: which nodes
  participate in the most
  local connections (i.e.
  flow nexus)
• Modularity: are parts of
  the network isolated
  from the rest?
Sustainable Management of the Ganga with Innovative Remote Sensing Methods - Patrice Carbonneau Rajiv Sinha S.K. Tandon Dave Milledge
Adding more physical meaning: weights and
         the connectivity matrix
            1
                                      n. 1      n. 2    n.3
 dry link                  n. 1       0         0.5     1
                Wet link
                           n. 2       0         0       0
                           n.3        0         0       0
 2                 3
By adding weights to an
adjacency matrix, we make         Weights relevant to rivers:
it non-binary and call it the
‘Connectivity Matrix’.            •       Spatial distance to node
These weights can account         •       Channel Width at node
for more physical                 •       Channel depth at node
processes:                        •       Channel elevation at node
                                  •       Etc…
Sustainable Management of the Ganga with Innovative Remote Sensing Methods - Patrice Carbonneau Rajiv Sinha S.K. Tandon Dave Milledge
Basic Example

• A simple
  network with 2
  types of nodes:
  wet and dry.

• Two connectivity
  matrixes
  calculated:

• First was weights
  of 0.5 for dry and
  1 for wet
  channels

• Second has
  spatial distance
  to next node as
  weights.
Sustainable Management of the Ganga with Innovative Remote Sensing Methods - Patrice Carbonneau Rajiv Sinha S.K. Tandon Dave Milledge
Sample Results
                 Nodes with a high
                 centrality participate in
                 a large number of
                 connections and are
                 crucial to the system.
Sustainable Management of the Ganga with Innovative Remote Sensing Methods - Patrice Carbonneau Rajiv Sinha S.K. Tandon Dave Milledge
Flow Paths

• Now we take the
  top 2 wet nodes as
  entry points and
  consider flow
  paths from these
  sources.

• There are 2609
  paths with lengths
  up to 29 nodes.

• First we can
  convert these
  lengths into real
  river lengths
  (euclidean
  between nodes)
Sustainable Management of the Ganga with Innovative Remote Sensing Methods - Patrice Carbonneau Rajiv Sinha S.K. Tandon Dave Milledge
Sample Results

These distances are important in
ecological terms where it is
recognised that animal
displacement is a crucial energy
expenditure. Many species of river
fish show an inverse correlation
between mouvement distance and
survival.
Sustainable Management of the Ganga with Innovative Remote Sensing Methods - Patrice Carbonneau Rajiv Sinha S.K. Tandon Dave Milledge
Spaceborne Observation and Analysis of Rivers (SOAR)

   The SOAR prototype is functional and complete. In the coming months, large
   catchment areas of the Ganga will be studied.
Sample Results

The modes at 0.94, 0.96 and 0.98
show that hundreds of paths have
only a few dry nodes. Reactivation
of a small number of dry nodes can
have a large effect on the
connectivity of the system.
Pollution Modelling

Preliminary run of SCIMAP on the Ganga plains in the area of Kanpur
Pollution Modelling with SCIMAP

Needed work:

• SCIMAP was
  developped for the
  UK
• Need to add
  population density
• Need to consider
  Indian hydrology
New model

Key elements:
- Can do monsoon and non-monsoon climates
- Includes population density and urban centres
- Includes channel flow, precipitation and human water usage
Sample results
                                    Gives us a tool to:

                                    1- explore the relationship
                                    between agriculture and water
                                    quality

                                    2- Build scenarios to target
                                    management intervention

* Simulated water injection point
* Urban centre
Future developments and
      capacity building thanks to
                UKIERI

• Complete SOAR and examine the structure of the
  Ganga

• Keep up with current events and extend the study
  site to Uttarakhand (using declassified satellite
  images of 60s)

• Initiate more detailed work on water quality.
  Specifically, explore the potential of remote
  sensing for rapid and low-cost monitoring of
  water quality (e.g. airborne survey)

• UKIERI has enabled us to join a consortia of
  universities – developing for a very large project
  on the health of North-Indian rivers.
Project Outreach
No. of exchanges under the India to UK: 06
project (including academic UK to India: 03+04
staff and students)
No. of joint publications / Conference/workshop: 02
research papers
Media mention / Press          NIL
release
Workshops organised            Durham: 1 (July, 2013):
(please include details like   Craig Hutton, Southampton
no of participants/key         University
people/Key speakers and        Sanmit Ahuja, ETI Dynamics
                               Vinod Tare: IIT Kanpur
way forward from the
workshop)                      IIT Kanpur : 1 (proposed in
                               October)
Post-UKIERI
• River Health project by a much larger Indo-UK consortium (workshop in
  October, 2013)
• ESPA project (NERC)
   – Assessing Health, livelihoods, ecosystem services and poverty alleviation in
     populous Deltas
   – Project partners:
       • Southampton, Oxford (UK)
       • Yadavpur, IIT Kanpur (India)
       • BUET, Bangladesh
• CARIAA Project (IDRC)
   – Migration as adaptation in degrading deltaic environments: assessing the
     vulnerability and resilience of the poor under a changing climate
   – Three major deltas in the world: Nile (Egypt), Ganga-Brahmaputra,
     Mahanadi (India), Volta (Ghana)
   – Project partners
       •   Southampton, Oxford (UK)
       •   Yadavpur, IIT Kanpur (India)
       •   IWFM and BUET Dhaka (Bangladesh)
       •   NARSS, Cairo (Egypt)
       •   Ghana
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