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Dr. Coulibaly Naga Prof. Umesh Bellur Prof. Nandlal L. Sarda

Dr. Coulibaly Naga Prof. Umesh Bellur Prof. Nandlal L. Sarda. Presentation plan. Introduction Methodology Results Conclusion. 2. Introduction. The development of almost all socio-economic sectors depends on water resources.

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Dr. Coulibaly Naga Prof. Umesh Bellur Prof. Nandlal L. Sarda

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  1. Dr. Coulibaly Naga Prof. Umesh Bellur Prof. Nandlal L. Sarda

  2. Presentation plan • Introduction • Methodology • Results • Conclusion 2

  3. Introduction The development of almost all socio-economic sectors depends on water resources. Water resources are mobilized to satisfy various uses like domestic, agricultural, industrial, livestock, tourism, leisure etc. water resources are not available in sufficient quantity and quality anytime, anywhere. Creation of a tools which allows management and analysis of current and historical data. 3

  4. Introduction General Objective: Design and create a prototype of open source (Spatial Decision Support System (SDSS) for water resources management in a watershed. Specifics Objectives: • Collect water resources, socio-economic and environmental data, • Design and implement a database, • Create a Spatial Decision Support System for water management 4

  5. Methodology 5

  6. Materials – Software • Desktop GIS : Quantum GIS (QGIS) • Creation of plugins in Python (PyQGIS with PyQt) • Customization of QGIS interface from source code • Adding GRASS functionalities • ACartographic server : Mapserver • RDBMS : PostgreSql / PostGIS - The tool uses PostGreSQL database with PostGIS analysis tools. 6

  7. Materials- Data 7

  8. Soil Loss Evaluation Universal Soil Loss Equation (USLE) Topographic map Meteorologic data Statellite data DEM Soil map Landuse / landcover LS Factor map K Factor map C Factor map P Factor map R Factor map USLE Soil Erosion Model (A=R.K.LS.C.P) Soil Loss rate A=R.K.LS.C.P The result (A) is the average annual soil loss (mass/area/year) 8

  9. Soil Loss Evaluation Soil Loss rate of the basin Mask map by sub-basin Soil Loss rate of a sub-basin Sum Soil Loss by sub-basin Sub-basin polygon Sub-basin sensibility prioritization`s map sub-watershed sensibility prioritization assessment 9 Figure: Flow chat for sub-watershed sensibility prioritization assessment

  10. Water security Water security = Availability - Demand Water availability evaluation Water resources are evaluated by the water balance equation. A simple from of water balance equation is as follows: P = Q + E ± ∆S Where, P is precipitation, Q is runoff, E is evaporation ∆S = is the storage in the soil, aquifers or reservoirs. 10

  11. Water security Global Water demand The Water demand for each use will beassessed from the product of the specific consumption by the population (effective) involved or the planned production. Thus, the Global water demand (Dg) in m3 is modeled by the equation: Dg = Ddom+ Dagri + Dlstk + Dind Where: Ddom , Domestic water demand, Dagri , Agricultural water demand, Dlstk , Livestock water demand, Dind , Industrial water demand. 11

  12. Water security Domestic water demand Domestic water demand is estimated by multiplying the population with the specific water consomption. The average specific consumption is per day per person is 40 liters in urban areas, rural and semi-urban areas, it’s respectively 15 and 20 l / day / person (BAD, 1993). Agricultural water demand Agricultural water demand is a function of crop type and agricultural practices and also of the climatic region 12

  13. Water security Livestock water demand Water requirements depend on the livestock species, the forage quality and climate. According to the Inter-State Hydraulic Study (CIEH) the values are: - Cattle: 39.2 l / day / head - Sheep: 4.3 l / day / head - Goats: 4.3 l / day / head Industrial water demand. The industrial water demand for each industry equals to the product of production with the corresponding water-demand per a production unit . 13

  14. Water vulnerability Multi-criteria Evaluation (MCE) • The most commonly used decision rule is the weighted linear combination • where: • S is the composite suitability score • xi – factor normalised • wi– weights assigned to each factor • ci – constraints (or boolean factors) • ∑ -- sum of weighted factors • ∏ -- product of constraints (1-suitable, 0-unsuitable) S = ∑wixi x ∏cj Example: With a GIS raster calculator S =((F1 * 0.67) + (F2 * 0.06) + (F3 * 0.27)) * cons_boolean 14

  15. Water vulnerability Groundwater vulnerability Criteria Pesticide application Method (foliar, soil surface or incorporation), Risk of lixiviation caused by soil type (estimated from the soil organic matter rate, texture or depth of soil), Human toxicity estimated from the acceptable daily intake (ADI), Quantity applied per hectare, Depth of groundwater, 15

  16. Water vulnerability Surface vulnerability Criteria Runoff generated by the characteristics of the plot (slope, length, texture, surface condition), Rate of drift from the application of the product (estimated from the distance of the parcel to the watercourse), Mode of application, Pesticide persistent, Toxicity on target organisms (people, algae, crustaceans, fish, ...), Quantity molecule applied per hectare, Drainage density weighted. 16

  17. Results 17

  18. System architecture SERVEUR Spatial DBMS - PostGis CLIENT Desktop GIS - QGIS INTERNET INTRANET Web Map Server - Mapserver Web Server - Apache Client interface developed with Quantum GIS 1.6 shell enhanced with GRASS functionalities. GRASS Figure: Functional structure of the system 18

  19. Desktop GIS tool Application 19

  20. Todo Develop USLE, vulnerability and water security functions Customize some queries and graphs ; map composer. Write the report and 1 paper for publication 20

  21. Conclusion This study is aims at creating a Spatial Decision Support System (SDSS) prototype for the integrated water resources management for various uses. This Spatial tool will be an institutional spatial tool for decision making and for concertationsbetween all the water resources actors (users, managers, NGO, …) for a sustainable management of water. 21

  22. End 22

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