FLOOD Analysis And Development of Groundwater Recharge and Discharge Estimate Maps using GIS

Transcription

1 FLOOD Analysis And Development of Groundwater Recharge and Discharge Estimate Maps using GIS Dr. Ghulam Nabi Assistant Professor Center of Excellence in Water Resources Engineering, g University of Engineering and Technology, Lahore

2 Layout of Presentation Introduction Flood Warning System Flood Analysis of River Chenab Ground Water Recharge and Discharge Application of GRADE-GIS and PRO-GIS for development of groundwater maps Conclusions

3 Historical floods in Pakistan From 1950 till 2010 Year Fatalities Villages affected ,190 10, , , , , , , ,008 13, , , , million+ [3][4] , million [5]

4 FLOOD FORECASTING Data Collection Network Rainfall Data Transmission System Catchment HEC WAPDA &PID HEC RAS+Geo-RAS - Flood forecasts by FFD Field Surveys - River Survey - Flood measurement - Flood Plain Maps Model Update River FFC Relief Commissioner, WAPDA, Army, PIDs and Others Public

5 Floods in Pakistan 2010 Source: Pak Met Office

6 Flood Analysis of River Chenab Almost all watershed in Indian Control No Flood Information Sharing Controlled by Marala Barrage Why GIS? River X-Section data is not available Time consuming and Costly DEM can used to extract X-Sections Easy to handle and modify Different Scenarios can be studied easily

7 Location of Study Reach

8 INPUT DATA for HEC-GEO RAS DEM 90m resolution Hydraulic data (Discharge ) Landuse and hydraulic Structure data River training i Structure t data Channel Roughness Upstream and Downstream boundary conditions i Coefficient of Contraction and Expansion River Meandering Pattern Main Channel and Flood Plain data

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11 Water extents at Different X-Sections Locations of Different X-Sections

12 Flood Extents at 1.5 Lac Water depth (m) High : 6.85 Low : Flood Extents at 3.0 Lac Water depth (m) High : 9.28 Low :

13 Flood Extents at 7.0 Lac Water depth (m) High : Low :

14 Flood Extents at 11 Lac Cusec Discharge Water Depth (m)

15 Ground Water Recharge Discharge Due to Flood Inundations Effective management of Ground water requires quantifying the interactions among the complex and uncertain processes in the hydrologic cycle both at surface and underground Groundwater recharge and discharge depend on the hydrological relationships among groundwater, climate, and surface water. Recharge and discharge zonations using readily available data in a short working time frame will help water resource managers and investigators plan more efficient strategies for additional modeling and data collection activities required by conventional recharge and discharge estimation methods

16 Recharge and discharge zonations using readily available data in a short working time frame will help water resource managers and investigators plan more efficient strategies for additional modeling and data collection activities required by conventional recharge and discharge estimation methods

17 GIS platform : PRO-GRADE and PRO-GIS PRO-GRADE (Ground water Recharge and Discharge Estimator) PRO-GIS (pattern recognition organizer for geographic information system) Arc-GIS proves an ideal platform for the cross-analyzing approach to estimate initial recharge and discharge maps. Fast initial recharge and discharge estimation and mapping help decision makers and modelers design more accurate and cost-effective models before initiating labor-intensive field measurements.

18 Approach USED for Recharge potential

19 Computation Algorithm GRADE-GIS

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21 Data Requirement for GRADE-GIS Topographic map Landuse and soil map hydraulic conductivity map water table map Bedrock elevation

22 SRTM Shuttle Radar Topography Mission 90 meter pixels for public 30 meter for researchers (maybe ) Web site: g University of California at Santa Barbara - Punjab Ground Water Development Project Soil Monitoring Organization (SMO) WAPDA Punjab Irrigation and Power Department

23 Data Input GRADE-GIS Depth Final_BedROCK Vl Value High : Low : Legend

24 GRADE-GIS Application

25 PRO-GIS Application

26 Potential for 3 lac Flood Value High : Low : Potential for 5 lac Flood Value High : Low :

27 Potential for 11 lac Flood Value High : Low :

28 Conclusion 1. HEC Geo-RAS model can successfully applied for flood Analysis and Flood Zoning with limited data 2. Output of HEC Geo-RAS In form of water depth at spatial scale can be used as input for assessment of ground water recharge potential at spatial scale 3. Spatial interpolation techniques can be used for filling the data gaps at spatial il scale 4. GRADE-GIS and PRO-GIS can efficiently used for development of groundwater discharge and recharge potential sites

29 Recommendations DEM data should have verified with local elevation maps Landuse map should be developed using most recent satellite image Pumping test data should be used for hydraulic conductivity map development Results of GRADE-GIS and PRO-GIS should be verified pre and post monsoon season

30 THANK YOU