G1 - GBDC Science Meeting 11-11-12

7/30/2019 G1 - GBDC Science Meeting 11-11-12

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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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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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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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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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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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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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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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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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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



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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.


29/29Thank you

G1 - GBDC Science Meeting 11-11-12

Documents

Transcript of G1 - GBDC Science Meeting 11-11-12