FLOOD Analysis And Development of Groundwater Recharge and Discharge Estimate Maps using GIS Dr Ghulam Nabi Dr. Ghulam Nabi Assistant Professor Center of Excellence in Water Resources Engineering, University of Engineering and Technology, Lahore
FLOOD Analysis And Development of Groundwater Recharge and Discharge
Estimate Maps using GIS
Dr Ghulam NabiDr. Ghulam NabiAssistant Professor
Center of Excellence in Water Resources Engineering, g gUniversity of Engineering and Technology, Lahore
Layout of Presentationy IntroductionFlood Warning SystemFlood Analysis of River ChenabGround Water Recharge and DischargeApplication of GRADE-GIS and PRO-GIS for pp
development of groundwater mapsConclusions
Historical floods in Pakistan From 1950 till 2010From 1950 till 2010
Year Fatalities Villages affected
1950 2,190 10,000 1956 160 11 6091956 160 11,6091957 83 4,498 1973 474 9,719 1976 425 18,390 1978 393 9,1991988 508 1,000 1992 1,008 13,208 1995 591 6,85,2001 219 50 2003 484 4,376 2004 85 47 2005 59 1 9312005 59 1,931
2007 918 2 million+[3][4]
2010 1,781+ 20 million[5]
Data Collection Network
FLOOD FORECASTING
Data Catchment
HEC
Rainfall
Transmission System
HEC
WAPDA
& PID
RiverField Surveys
- River Survey
& PID
HEC RAS+Geo-RAS- Flood forecasts by FFD
- Flood measurement
- Flood Plain MapsModel
Update
FFC
Relief Commissioner WAPDA Army PIDs PublicRelief Commissioner, WAPDA, Army, PIDs and Others
Public
Floods in Pakistan 2010
Source: Pak Met Office
Flood Analysis of River Chenaby
• Almost all watershed in Indian Control• No Flood Information Sharing• Controlled by Marala Barrage
Wh GIS Why GIS ?• River X-Section data is not available
Ti i d C tl• Time consuming and Costly• DEM can used to extract X-Sections• Easy to handle and modify• Different Scenarios can be studied easily
Location of Study Reach
INPUT DATA for HEC-GEO RAS INPUT DATA for HEC GEO RAS DEM 90m resolution Hydraulic data (Discharge ) Hydraulic data (Discharge ) Landuse and hydraulic Structure data Ri t i i St t d t River training Structure data Channel Roughness
U d D b d di i Upstream and Downstream boundary conditions Coefficient of Contraction and Expansion
R M d P River Meandering Pattern Main Channel and Flood Plain data
Water extents at Different X-Sections
Locations of Different X-Sections
Flood Extents at 1.5 Lac
Water depth (m)High : 6 85High : 6.85
Low :0.00015
Flood Extents at 3.0 Lac
Water depth (m)High : 9.28
Low :0.00015
Flood Extents at 7.0 Lac
Water depth (m)High : 10 6111High : 10.6111
Low :0.00015
Flood Extents at 11 Lac C Di hCusec Discharge
Water Depth (m)Water Depth (m)0.000015-0.66
0.66-1.36
1.36-2.03
2 03 22.03-2.74
2.74-3.56
3.56-4.68
4.68-5.96
5.96-7.21
7.21-8.45
8.45-10.61
Ground Water Recharge Discharge D t Fl d I d tiDue to Flood Inundations
Effective management of Ground water requires quantifying the interactions among the complex and uncertain the interactions among the complex and uncertain processes in the hydrologic cycle both at surface and underground
Groundwater recharge and discharge depend on the Groundwater recharge and discharge depend on the hydrological relationships among groundwater, climate, and surface water.
R h d di h ti i dil il bl 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 strategies for additional modeling and data collection activities required by conventional recharge and discharge estimation methods
Recharge and discharge zonations using readily available data in a short working time frame will help water 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
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 p g gmapping help decision makers and modelers design more accurate and cost-effective models before initiating labor-intensive field measurements.g
Approach USED for Recharge potentialg
Computation AlgorithmGRADE-GIS
Data Requirement for GRADE-GIS
Topographic map Landuse and soil map Landuse and soil map hydraulic conductivity mapwater table map Bedrock elevation Bedrock elevation
SRTMShuttle Radar Topography MissionShuttle Radar Topography Mission
90 meter pixels for public 90 meter pixels for public 30 meter for researchers (maybe…) Web site: http://srtm.usgs.gov University of California at p g g y
Santa Barbara -http://www.uweb.ucsb.edu/~nico/comp/get_dem.htm
Punjab Ground Water Development Project Soil Monitoring Organization (SMO) WAPDA
P b I d P D Punjab Irrigation and Power Department
Data Input GRADE-GIS
DepthFinal_BedROCKV lValue
High : 156.998
Low : 6.00107
Legend150.0010681 - 166.7785339
166.778534 - 183.5559998
183.5559999 - 200.3334656
200.3334657 - 217.1109314
217 1109315 233 8883972217.1109315 - 233.8883972
233.8883973 - 250.665863
250.6658631 - 267.4433289
267.443329 - 284.2207947
284 2207948 300 9982605284.2207948 - 300.9982605
GRADE-GIS Application
PRO-GIS Application
Potential for 3 lac Flood
ValueHigh : 1.71183
Low : -1.48019
Value
Potential for 5 lac Flood
High : 4.63565
Low : -4.63565
Potential for 11 lac FloodValue
High : 301.007
Low : 149.987
Conclusion1. HEC Geo-RAS model can successfully applied for flood
Analysis and Flood Zoning with limited data
Conclusion
Analysis and Flood Zoning with limited data2. 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 h d i l lthe data gaps at spatial scale
4. GRADE-GIS and PRO-GIS can efficiently used for development of groundwater discharge and recharge development of groundwater discharge and recharge potential sites
RecommendationsRecommendations DEM data should have verified with local elevation maps Landuse map should be developed using most recent Landuse map should be developed using most recent
satellite image Pumping test data should be used for hydraulic p g y
conductivity map development Results of GRADE-GIS and PRO-GIS should be verified
pre and post monsoon season
THANK YOU THANK YOU