g1 - gbdc science meeting 11-11-12
TRANSCRIPT
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G1 project overview and update for
GBDC bi-annual meeting
Andy Nelson & Parvesh Chandna - IRRI
11/11/12
GDBC Science Meeting, Dhaka
On behalf of:
Fazlur Rashid BWDB Bangladesh Water Development Board
Md Manirul Haque IWM Institute of Water Modelling
TP Tuong IRRI International Rice Research Institute
Sohel Rana LGED Local Government Engineering Department
Md Moqbul Hossain SRDI Soil Resource Development Institute
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WP3 Extrapolation domains
OUTCOMES
Change in Knowledge,
Attitude and/or Skills
Change in Practice /
BehaviourImpact
Project outputsLocal GO, extension agents and scientists responsible for
agricultural technical innovations
Compilation of a
geodatabase covering
all thematic spatial
information related to
the project, including
characterization of the
test sites and study
areas
Learn about new technologiesand where its chances of
adoption is greatest.
Use of domain maps as a
decision support tool tomore effectively scale up
the adoption of new
technologies
Increased chances
of appropriate
technology
adoption and
likelihood of
adoption ofsustainable land
and water use
policies.
Extrapolation domainsfor each technology
National level policy makers responsible for water resourceand land management and land use zoning.
Land-use plans based
on trends,constraints,
and interventions
Understand the implications
of different land use plans
under different future
scenarios.
Use the maps as decision
support tools when
planning future
interventions.
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Work Packages
WP1 Geodatabase of the coastal zone
Inventory of metadata and data format agreements
Geodatabase development and documentation
WP2 Characterisation of test sites and polders
Identification of resource profiles for technologies
Identification of links between geodatabase layers and sites
WP3 Extrapolation domains for new technologies
Development of extrapolation domain method with partners
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WP1 - Geodatabase
1 Climate
2 Land use / land cover
3 Soil, physical and chemical parameters
4 Salinity, both soil and water
5 Water levels, quality, availability
6 Infrastructure
7 Socio economic
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1 ClimateDaily weather data (evaporation, humidity, rainfall,temp, solar radiation) of 15 stations from 2001 to2011 is collected
2 Land use / land cover
- 20 images of resourceset-2 - data ordered toNRSA - Covers Khulna and Barisal divisions. Usedfor land use and soil salinity mapping - IRRI
- PALSAR radar data is received and analysis areunder way. For attempted mapping of shrimp/fishpondsIRRI
- Inventory of satellite data - format was preparedand shared among partners - partners are addingthe list of datasets they have. IRRI-SRDI-IWM-LGED
- Elevation and slope maps - IWM
WP1 - Geodatabase
5km
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WP1 - Geodatabase
There is scope for intensification & diversification in the coastal zone
Boro rice
NovApr5m hectares
Aus rice
AprJul1.1m hectares
Aman rice
JulNov5.8m hectares
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3 SoilSoil maps (texture, degradation, chemical properties)collected - SRDI
4 Soil Salinity / Water salinity- Monthly water salinity contour map of 1, 2, and 4 pptfor year 2009 and similar maps are underway for year2010, 2011,2012IWM.
- Water salinity data at 15 days interval of 29 locationsfrom nov. 2001 to Dec. 2008. Data contains EC andchlorides level at low and hide tide - BWDB.
-Water salinity data at 3 days interval for 5 stations foreach polder from 04-07-2011 to 28-07-2012 - IWM.
-Soil salinity data is received and under analysis - SRDIand IRRI.
- Costal salinity maps for 2001 and 2009 received -SRDI
WP1 - Geodatabase
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5 WaterWater level (automatic gauge) observed at 4
locations at each of the three polders at 30
min intervalIWM
6 Infrastructure- Survey of Bangladesh Toposheets (1:50,000
scale) collected for Barisal and Khulna
divisionsLGED
- Network and Market location maps fromLGED
- Locations of all drainage and flushing
structures, lift gates with their conditions -
working. Non working, siltation etc. - BWBD
WP1 - Geodatabase
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7 Socio economic- 2008 Agricultural census data, discussions
to obtain this at mouza level (tenancy etc).
IRRI & BBS
-2011 Population census data at mouza
level (poverty etc.)LGED
- Growth centres, Administrative
boundaries prepared at mouza level with
all administrative details. Covers Khulna
and Barisal divisions.LGED
- Household survey data from G2/G3
WP1 - Geodatabase
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WP2 Characterisation of technologies
We define the requirements for each technology, Aman-Boro, Rice-Shrimp, year round brackish aquaculture etc. in terms of water, soil,
climate, infrastructure, socioeconomic & management requirements
Each requirement is split into classesS1 most suitable, S2 suitable, S3 least suitable, SN not suitable
Some of these are definingrequirements. If a condition is not
met, then that technology cannot be adopted.
Some of these are limitingrequirements. A condition may
not optimal, but it could be improved with investment or change.
Requirements and classes come from expert opinion
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WP2 Characterisation of technologies
Aman - Boro Water quality and availability in dry season
Description of
Land use
type(technology)
Fresh (< 4dS/m),
ground water
availability and
pumping depth
Month when
river water
still remain
fresh
( 5 S1 1 S1
Yes, 7 -20
mS2 Feb S2 2.5 - 5 S2 50-100 S2 0.5 - 1 S2
yes, > 20 S3 Jan S3 1 - 2.5 S3 100-300 S3 0.2 - 0.5 S3
No SN Dec SN 300 SN < 0.2 SN
Aman - Boro Water quality and availability in wet season
Description of Land
use
type(technology)
Maximum inundation depth
(m) in August
Maximum inundation
depth (m) for more than
one week in Sep/Oct
Difference (m) in land
surface and low water
level in Sep/Oct for
drainage
Aman HYV rice is
transplanted in July-
August, to be
harvested by the end
of November
(Moderate Salinity
zone) or December
(low saline zone).
< 0.1 S1 < 0.2 S1 > 1 S1
0.10.2 S2 0.20.5 S2 0.5 - 1 S2
0.20.3 S3 0.50.8 S3 0.20.5 S3
> 0.3 SN > 0.8 SN < 0.2 SN
S1 = Most Suitable S2 = Suitable S3 = Least Suitable SN = Not Suitable
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WP2 Characterisation of technologies
Extensive Gher based year round brackish water poly culture
Description
Minimum air
temperature
for 1week (C)
Minimum salinity
(ppt) at PL
stocking
Land type /
Inundation
depth
Soil
textureAcidity (pH)
Shrimp PL is stocked
in Feb when there is
brackish water
adequate and suitabletemperature, brackish
water Fish is stocked
few weeks later.
Water is replenished
as needed. Harvest
starts after 2 month
until end of Nov.
>25 S1 >10 S1 0.5 - 0.7 S1clay
LoamS1 6.5 - 7.5 S1
20 - 25 S2 5 to 10 S2 0.7- 1;0.3 - 0.5 S2 Loam S1 5.5 - 6.5;7.5 - 8.5 S2
18 -20 S3 2 - 5 S31 - 1.2;
0 - 0.3S3
Sandy
loamS2
4.5 5.5;
8.5 - 9.5S3
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WP2 Characterisation of technologies
Once the characteristics have been agreed upon, each one will belinked to one layer in the Geodatabase from WP1. Those with no
associated layer either need a proxy or should be dropped.
The next step is to develop a decision tree that links thecharacteristics together in a logical model that can be run in a GIS.
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WP3 Extrapolation domains
We have chararacterised several cropping systems and developedthe extrapolation domain models for them
The models are decision trees that links the characteristics together
in a logical framework that can be run in a GIS.
The following example is for one season of a rice/rice system.
Other systems are too big to show effectively on screen
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WP3 Extrapolation domains
Fresh GW
(< 4dS/m)Tubewell?
Depth of
prehatic
surface (m)
Month when
river water
(< 3 dS/m)
Storage
capacity
(ML/ha)
Proximity to
fresh SW
source (m)
Suitability for
dry season
rice crop
Yes
No
Shallow
Deep
< 6
7 - 20
Mar
Feb
Jan
Dec
> 20
2.5 - 5
1- 2.5
2.5 - 5
12.5
< 100
> 100
< 100
> 100
< 100
> 100
< 100
> 100
S1
S1
S2
S3
S1
S1
S2
S2
S3
S2
S3
S3
SN
SN
Groundwater Surface water
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WP3 Extrapolation domains
Target is to develop around domain models for around 10 croppingpatterns including current common systems.
Domain maps need to be split into present and conditional.
Conditional maps are based on potential improvements or changesthat would remove limiting factors under present conditions. This is
represented in the model by changing one characteristic from Not
Suitable to Suitable under present conditions.
For example, desilting or building a new canal to improve access to
fresh water.
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WP3 Extrapolation domains
Fresh GW
(< 4dS/m)Tubewell?
Depth of
prehatic
surface (m)
Month when
river water
(< 3 dS/m)
Storage
capacity
(ML/ha)
Proximity to
fresh SW
source (m)
Suitability for
dry season
rice crop
Yes
No
Shallow
Deep
< 6
7 - 20
Mar
Feb
Jan
Dec
> 20
2.5 - 5
1- 2.5
2.5 - 5
12.5
< 100
> 100
< 100
> 100
< 100
> 100
< 100
> 100
S1
S1
S2
S3
S1
S1
S2
S2
S3
S2
S3
S3
SN
SN
< 100
< 100
< 100
< 100
S1
S2
S2
S3
Groundwater Surface water
12/13
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Resource conserving technology targetting12/13
Uncultivated Land/Barren/Current fallow
Deep water body
Wheat
Rice Fallow
Standing Water in Dec.-Excessive moist in Feb
Dec. Moist and Feb.Fallow
Sodic Land
Settlements
Aquatic weeds
District Ballia
River
Salt affected land
Bed PlantingExcessive Moisture in
Dec in lowlands
Surface Seeding
Waterlogged lowlands
in Dec/Jan
Boro rice
River side Diara lands
Introduction of deep
rooted legumes
Late Wheat
Zero Till or late planting in
uplands
Village level targetting of underutilized land improved livelihoods
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WP3 Extrapolation domains
Validation of the domains is critical and can be based on
(1) existing land use suitability information, or
(2) Remote sensing derived cropping pattern maps or
(3) Participatory approaches within GBDC and other stakeholders
at local level. Such as consultation meetings with block
supervisors
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Existing system for validation(1) AmanRabi crop
(2) Aus - Aman
(3) Aman - Shrimp
(4) Year round aquaculture
Innovative systems for targetting
(1) Aman (HYV) - Rabi (HVC)
(2) AusAman - Boro
(3) Aus - Aman - Rabi crop
(4) Boro - Aman(5) Aus (HYV)Aman (HYV)
(6) Year round polyculture
(7) Shrimp - Rice
Each one can be mapped as present and conditional system
WP3 Extrapolation domains
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Future work plans
1 Inventory of the relevant spatial data for characterizing
the sites prepared &shared with project partners Jan
2012Identification of the relationships between the technology
requirements and spatial data layers, i.e. direct measurement or
proxy variables.
2 All extrapolation models defined Jan 2013
To be led by IRRI with input from all G1 partners and PLs from G2,
G3, G4
3 First extrapolation domain maps generated &
documented for internal discussions - Apr 2013
Not all domains will be generated at this stage. Validation methods
need to be refined and consultation meetings need to be
conducted before the field trip.
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Continue the monitoring of soil salinity and level
Detailed soil survey in April-May 2012 & 2013 (1:50,000)data to be available for project by July 2013
Soil survey point data on pH and salinity earlier survey for
Barisal and Khulna divisionsJan 2013
Spatial data inventorycompletion of meta dataJan 2013
Validation of salt affected soil maps generated by IRRIApril
10, 2013
SRDI Future work plans
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IWM Future work plans
Continue the monitoring of water salinity and water level
Maps of maximum water salinityJan, 2013
Minimum and maximum water levels & maps assessing potential of
gravity irrigation and drainage for 17 polders Jan, 2013
Internal storage capacity of river/canal during dry season (month
wise) for 17 poldersJan, 2013
Meta data of spatial data inventoryJan, 2013
Maximum submergence depth during the month of August and
SeptemberJan, 2013
Water salinity threshold maps showing start & end dates (1, 2 and
4 ppt) for 2010, 11 & 12Jan, 2013
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LGED Future work plans
Census data at mouza level for Barisal and Khulna divisionsDec,
2012
Description of ongoing LGED activities and development plans for
coastal regionsJan 2013
Rapid eye ( 4 bands) 5 m resolution multi spectral data for
Satikhira, Khulna and Bhagirghat districtsDec 2012
Mouza boundaries of Coastal BangladeshDec 2012
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BWDB Future work plans
Point data of GW quality ( salinity) and level for coastal
BangladeshJan 2013
Provision of metadata of available informationJan 2013
Coastal embankment improvement project reportJan 2013
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IRRI Future work plans
Methodology for extrapolation domainsNov 2012
Characteristics and land requirement for extrapolation domains(from G2 and G3)Jan 2013
Meta data of spatial data Inventory - Jan 2013
Collection and generation of spatial data needed for extrapolation
domains - Feb 2013
Acquisition of Satellite Data and land use classification - Mar 2013
Ground truth and validation of classified layersFeb to Apr 2013
Draft extrapolation domain for at least five crops/technology
shared with partnersApr 2013
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Change story
The best way to get value from data is to give it away
Changes in key stakeholder knowledge, attitude, skills and/or practice.
Documenting the change of practice in sharing data and sharing
expertise, and the reasons behind this change.
The small changes that are taking place within the G1 partnership
demonstrate the value that can be added to existing data holdings
if the environment is conducive to data sharing. Making data
accessible is not just about being better informed or making more
efficient use of existing resources, but it can also lead to gains and
benefits as data is used in creative ways and unanticipated waysfor future research and development
A challenge for the GBDC and the CPWF is to turn this change in
practice into a sustainable change in culture.
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Outcomes and benefits
Better sharing of GIS data and expertise amongst institutes in Bangladesh.
Use of targetting maps as a decision support tool to more effectively scale upthe adoption of new technologies.
Increased chances of appropriate technology adoption and likelihood of
adoption of sustainable land and water use policies.
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