Data requirements for Ganga River Basin Management Plan

Post on 30-Nov-2014

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This presentation by Prof. A.K. Gosain describes the data requirements for the Ganga River Basin Management Plan. What are the types of data sets that need to be explored and how would they be used in the studies related to GRBMP.

Transcript of Data requirements for Ganga River Basin Management Plan

Data Requirements

• Basin Characteristics• Hydro-meteorological Data• Projects Data• Data on Pollution• Demographic Data

Basin Characteristics

• Basin delineation• Drainage system – SRTM• Landuse/Landcover• Soil properties of the catchments – Global and

National data sources • River cross-section data

Digital Elevation Model

Hydro-meteorological Data• Meteorological data - IMD• Flow data at gauging sites - CWC and State

Water Resources Departments• Sediment data; volume and characterization –

CWC/State Govt. agencies• Ground water fluctuation data – CGWB/State

GW Boards• Flow cross sections and rating curves at

various stream gauging sites - CWC and State Water Resources Departments

Percentage share of major water balance in Ganga Basin components w.r.t. precipitation

Actual ET43%

Surface Runoff28%

Lateral Flow3%

Shallow Groundwater recharge

24%

Deep Aq Recharge1%

Scenario 1: Baseline - Virgin Condition

Projects Data• Data on water utilizations for– Agricultural– Domestic– Industrial and other uses

• Data on water resources projects including reservoirs and diversion facilities– Existing– Under implementation– Proposed

Storage Projects in Ganga Basin

Data on Pollution

• Point sources– Domestic sewage– Industrial

• Non-point sources– Data on use of fertilizers– Pesticides

• Data on water quality observations– Surface – Ground water – CPCB, CWC, CGWB, State Pollution Control Boards, MOEF

D RA FT INRM Consultants , New Delhiwww.inrm.biz

D RA FT INRM Consultants , New Delhiwww.inrm.biz

Demographic & Socio-economic Data

• Livelihoods• Land holdings• Population• Ecological hotspots• Water pricing

Geospatial Database Management

• For integration of information across domains– Processing raw data– Managing generated information– Storage– Retrieval

• Analysis to generate– Scenarios for different developmental pathways– Sharable information with all the stakeholders