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INSTITUTIONALISATION OF NATURAL RESOURCES DATA MANAGEMENT SYSTEM (NRDMS) IN THE DISTRICT DECISION MAKING SYSTEM OF BANKURA Govt. of West Bengal - P.K.Mishra - B.Barat

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INSTITUTIONALISATION OF NATURAL RESOURCES DATA MANAGEMENT SYSTEM (NRDMS) IN THE DISTRICT DECISION MAKING SYSTEM OF BANKURA. -P.K.Mishra -B.Barat. Govt. of West Bengal. DATABASE AVAILABLE AT NRDMS, BANKURA. Source. Type. DEMOGRAPHIC. CENSUS-2001. TOPOGRAPHY. - PowerPoint PPT Presentation

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Page 1: INSTITUTIONALISATION OF

INSTITUTIONALISATION OF NATURAL RESOURCES DATA

MANAGEMENT SYSTEM (NRDMS) IN THE DISTRICT

DECISION MAKING SYSTEM OF BANKURA

Govt. of West Bengal

-P.K.Mishra

-B.Barat

Page 2: INSTITUTIONALISATION OF

DATABASE AVAILABLE AT NRDMS, BANKURA

• DEMOGRAPHIC

• PHYSIOGRAPHY

• GEOLOGY

• TOPOGRAPHY

• CENSUS-2001

• S.O.I. TOPOSHEET

• LANDUSE

• SOIL (SERIES ASSOCIATION)

• IRS 1C/1D SATELLITE IMAGE (1999)

• NBSSLUP, NAGPUR

• NBSSLUP, NAGPUR

• DIRECTORATE OF MINES & MINERALS

Source Type

Page 3: INSTITUTIONALISATION OF

• MINERAL RESOURCE

• SURFACE WATER

• SURFACE WATER BODIES

• WASTE LAND

• S.O.I. TOPOSHEET

• FOREST LAND

• HYDROLOGY

• IRS 1C/1D SATELLITE IMAGE (1999)

• SWID, BANKURA

• DIRECTORATE OF MINES & MINERALS

• IRS 1C/1D SATELLITE IMAGE (1999)

• IRS 1C/1D SATELLITE IMAGE (1999)

DATABASE AVAILABLE AT NRDMS, BANKURA (Continued)

Type Source

Page 4: INSTITUTIONALISATION OF

NATURE OF DATABASE

• Institutional mechanism to update data (field surveys)

• Data which does not change frequently Example: Forest Cover, Habitation, Waste Land

• Data: a. Spatial b. Non-spatial

• Type of data & analysis tools

• Tools: a. GRAM++ b. Arc-View c. Arc-Info

• Is the database latest ?

• Real time satellite data may help

Page 5: INSTITUTIONALISATION OF

LAND USE OF BARJORA BLOCK WITH SETTLEMENT

Page 6: INSTITUTIONALISATION OF

PRADHAN MANTRI GRAM SADAK YOJANA (PMGSY) (CORE NET WORK)

Objective : To optimise the road network while serving maximum population

Input data and its source:

1. Road Net Work (field Survey)2. Population data (Census-2001)3. Mouza Boundaries (Census-2001)4. Drainage System (S.O.I. Topo-sheet)5. Cross Drainage (field Survey)6. Height Contour (SOI Topo-sheet)7. Amenities like Market, Health Centres, Bank

etc. (field Survey)

APPLICATIONS

Page 7: INSTITUTIONALISATION OF

PRADHAN MANTRI GRAM SADAK YOJANA (PMGSY) (CORE NET WORK)

Decision support available:

1. Optimal selection of roads2. Identification of habitation unconnected by

roads and its prioritization3. Identification of utilities unconnected by road

Output: Road net work for 22 blocks along with utilities

Time Frame:1. Actual data entry and

processing : 1 Month2. Data Collection : 5 months

APPLICATIONS (Continued)

Page 8: INSTITUTIONALISATION OF

PRADHAN MANTRI GRAM SADAK YOJANA (PMGSY) CORE NET WORK, MEJHIA BLOCK

Page 9: INSTITUTIONALISATION OF

ADMINISTRATION OF HEALTH SUB-CENTRES

Objective : To achieve more effective health care services & its delivery in an equitable manner

Input data and its source:

1. Mouza Boundaries (Census-2001)2. Population data (Census-2001)3. Health Sub-Centres (field survey)4. Road Net Work (field survey)5. Habitation (S.O.I. Topo-sheet)6. Drainage System (S.O.I. Topo-sheet)

Time Frame:

1. Actual data entry and processing : 2 Months

2. Data Collection : 2 months

APPLICATIONS (Continued)

Page 10: INSTITUTIONALISATION OF

Decision support available:

1. Outreach centres are identified and action plan prepared accordingly

3. To know the present status of different health programme and to prepare action plan on priority basis

Output: To optimally reallocate command area of existing Sub centres’ within Gram Panchayat Boundary considering size of population, distance and road connectivity

ADMINISTRATION OF HEALTH SUB-CENTRES

APPLICATIONS (Continued)

Page 11: INSTITUTIONALISATION OF

SUB CENTRES COMMAND AREA OF ANCHURI B.P.H.C. (BEFORE RE-ALLOCATION)

Page 12: INSTITUTIONALISATION OF

SUB CENTRES COMMAND AREA OF ANCHURI B.P.H.C. (AFTER RE-ALLOCATION)

Page 13: INSTITUTIONALISATION OF

UNCOVERED SETTLEMENT

SUB CENTRES COMMAND AREA OF ANCHURI B.P.H.C. (1.6 K.M. RADIAL DISTANCE)

Page 14: INSTITUTIONALISATION OF

SUB CENTRE (HAVING

OUTREACH VILLAGES

WITH POPULATIO

N MORE THAN 1000)

Sub Centres Mouza name Population Description of the VillagesAnchuri Anchuri 2936 GT 1000Anchuri Gouripur 2032 GT 1000Banshi Patakala 1080 GT 1000Banshi Banshi 2141 GT 1000Belia Belia 1455 GT 1000Damodarpur Dakshin Bankati 1691 GT 1000Jagdalla Jagadalla 2400 GT 1000Jagdalla Dhaldanga 3887 GT 1000Kankradihi Nutangram 2885 GT 1000Kapistha Darpanagar 1099 GT 1000Kenjakura Gosaidihi 1172 GT 1000Molbona Badra 1888 GT 1000Molebona Molebona 2263 GT 1000Radhakantapur Kenjakura 3706 GT 1000Sanbandha Sanbandha 1174 GT 1000Anchuri Nawdi 309 OutreachBanshi Rasunkur 851 OutreachBanshi Dabra 945 OutreachBanshi Chenchura 631 OutreachBelia Patharkata 283 OutreachBelia Junkanali 528 OutreachDamodarpur Nandigram 759 OutreachDamodarpur Patalkhuri 938 OutreachDhagaria Chhendua 890 OutreachDhagaria Hetyasole 695 OutreachHelna Susunia Bhaturi 725 OutreachHelna Susunia Jharia 526 OutreachHelna Susunia Rajkumar 368 OutreachKankradihi Taribaterdihi 279 OutreachKankradihi Chhatardihi 441 OutreachKankradihi Kaludihi 374 OutreachKapistha Papurdihi 902 OutreachKapistha Debipur 685 OutreachKapistha Behardihi 445 OutreachKenjakura Manoharpur 928 OutreachKumidya Kalabati 387 OutreachSanabandh Ailakandi 716 OutreachSanabandh Kargahir 758 OutreachSanabandh Barut 808 OutreachSunukpahari Chelema 751 OutreachSunukpahari Ramjibanpur 415 OutreachTantkanali Uriama 420 OutreachTantkanali Pathrabaid 271 OutreachTantkanali Dupsara 549 OutreachBelia Dhuliadihi 1043 Outreach GT 1000Belia Kalapathar 1094 Outreach GT 1000Bhagawanpur Andarthole 2029 Outreach GT 1000Kapistha Jalhari 1175 Outreach GT 1000

Page 15: INSTITUTIONALISATION OF

ADMINISTRATION OF ANGANWADI CENTRES

Objective : Optimal identification of location for setting up of a new anganwadi centre

Input data and its source:

1. Mouza Boundaries (Census-2001)2. Population data (Census-2001)3. Anganwadi Centres (field survey)4. Road Net Work (field survey)5. Habitation (S.O.I. Toposheet)6. Drainage System (S.O.I. Toposheet)7. ITDP Mouzas (BCW Department)

Time Frame:

1. Actual data entry and processing : 2 Months

2. Data Collection : 2 months

APPLICATIONS (Continued)

Page 16: INSTITUTIONALISATION OF

Decision support available:

1. Determine unserved area which will be taken in next plan on prioratization

2. The villages far away from the Anganwadi centres could be identified for take home ration.

3. The materials supplied to the AWCs could be distributed in a planned way incurring less expenditure.

Output: Command area with respect to existing Anganwadi Centres of Gangajalghati

Project.

ADMINISTRATION OF ANGANWADI CENTRES

APPLICATIONS (Continued)

Page 17: INSTITUTIONALISATION OF

ICDS CENTRES, GANGAJALGHATI BLOCK

Page 18: INSTITUTIONALISATION OF

ICDS CENTRES COMMAND AREA OF GANGAJALGHATI ICDS PROJECT AREA (1 K.M. RADIAL DISTANCE)

UNCOVERED SETTLEMENT

BALIGUMA

Page 19: INSTITUTIONALISATION OF

MICROWATERSHED FOR RASHTRIYA SAM VIKAS YOJANA (RSVY)

Objective : To select appropriate microwatershed under RSVY

Time Frame:1. Actual data entry and

processing : 3 Months2. Data Collection : 3 months

APPLICATIONS (Continued)

Input data and its source:1. Mouza Boundaries (Census-2001)2. Population data (Census-2001)3. Microwatershed Boundary developed by IIT,

Delhi4. Road Net Work (field survey)5. Habitation (S.O.I. Toposheet)6. Drainage System (S.O.I. Toposheet)7. Backward Mouzas (P&RD Deptt)8. Land use (IRS-1C 1999 Satellite Image)

Page 20: INSTITUTIONALISATION OF

Output: Delineation of micro-watershed, listing of mouza and identification of plots

for land treatment

MICROWATERSHED FOR RASHTRIYA SAM VIKAS YOJANA (RSVY)

APPLICATIONS (Continued)

Decision support available:

1. Determination of area of micro-watershed treatment

2. Identification of ponds for re-excavation and

sites for check dams.

Page 21: INSTITUTIONALISATION OF

AN EXAMPLE OF RSVY MICROWATERSHED SELECTION (AT SALTORA BLOCK)

Page 22: INSTITUTIONALISATION OF

LANDUSE OF SELECTED PORTION OF SALTORA BLOCK

BIHARINATH HILL

Page 23: INSTITUTIONALISATION OF

SELECTED MINOR IRRIGATION SCHEMES TAKEN UNDER RSVY IN SALTORA BLOCK

Page 24: INSTITUTIONALISATION OF

LANDUSE VIS-A-VIS CATHCMENT & COMMAND AREA OF SELECTED PORTION

OF SALTORA

Page 25: INSTITUTIONALISATION OF

PONDS TO BE TAKEN UP UNDER FOOD FOR WORK PROGRAMME (FFWP)

Objective : Selection of Ponds under FFWP

Input data and its source:

1. Mouza Boundaries (Census-2001)2. Population data (Census-2001)3. Water Bodies (IRS-1C 1999 Satellite Image)4. Road Net Work (field survey)5. Habitation (S.O.I. Toposheet)6. Drainage System (S.O.I. Toposheet)7. Backward Mouzas (P&RD Deptt)8. Canal (S.O.I. Toposheet)

APPLICATIONS (Continued)

Page 26: INSTITUTIONALISATION OF

Output: Identifying ponds perennial in nature and adjacent to canals

APPLICATIONS (Continued)

Decision support available:

• Area of pond planned for excavation and its cost estimation

PONDS FOR FOOD FOR WORK PROGRAMME

Time Frame:

1. Actual data entry and processing : 2 Months

2. Data Collection : 3 months

Page 27: INSTITUTIONALISATION OF

CANAL NET-WORK WITH PONDS(PART OF SONAMUKHI BLOCK UNDER BANKURA

DISTRICT)

Page 28: INSTITUTIONALISATION OF

DELINEATION OF ASSEMBLY CONSTITUENCIES

Objective : Optimal delineation of Assembly Constituencies

Input data and its source: 1. Mouza Boundaries (Census-2001)2. Population data (Census-2001)3. Road Net Work (field survey)4. Habitation (S.O.I. Toposheet)5. Drainage System (S.O.I. Toposheet)

Time Frame:1. Actual data entry and

processing : 1 Month2. Data Collection : 1 Month

APPLICATIONS (Continued)

Page 29: INSTITUTIONALISATION OF

FINAL ASSEMBLY CONSTITUENCY BOUNDARIES

Page 30: INSTITUTIONALISATION OF

• Office of the District Magistrate & Subordinate offices

• Three tiers Structure of Panchayat Raj Institutions

• Municipal bodies

• Line Departments

DECISISON MAKERS (BANKURA)

Page 31: INSTITUTIONALISATION OF

• Incorrect resource allocation

• Slower decisions (time and cost overrun)

• Non optimal solutions

• Decisions not on objective parameters

• High cost of decision making

LIMITATIONS IN THE PRESENT DECISION MAKING PROCESS

Page 32: INSTITUTIONALISATION OF

• Making it individual neutral

• Better and faster decisions

• Decision based on objective parameters (situations: flood, drought)

• Outsourcing - not a solution

• Sustainability

THE NEED FOR INSTITUTIONALIZATION

Page 33: INSTITUTIONALISATION OF

• A centralized place where it can be shared

• Patient implementation (building up of knowledge base takes time)

• 73rd & 74th amendment – decision on transferred subjects by the Zilla Panchayat and Municipal bodies (linking up the committees with NRDMS database)

• Lower tiers or panchayats need not be taken up (higher cost without adequate benefit)

• Decisions at centralized level; data collection and implementation at local level

HOW TO ISTITUTIONALIZE ?

• Identification of business process (on a case to case basis) ; input – output matrix identification and implementation

Page 34: INSTITUTIONALISATION OF

• Quantification of benefits in monetary terms – not always possible

• Primarily a capacity building effort

• Cost of a model unit:a. Hardware : 2,62,000b. Software : 3,10,000c. Manpower : 2,88,000d. Site preparation : 50,000

• Total cost for (say) West Bengal: 1,72,90,000

COST BENEFIT

Page 35: INSTITUTIONALISATION OF

• A vision needed to tap its potential

• Updation of data

• Technology

• Integration with Panchayat decision making system

• Capacity building (a slow process)

• Local wisdom to be integrated

CONCLUSION

Page 36: INSTITUTIONALISATION OF

THE END