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Assessment of Impact on Impact/Damages of the 1999 and 2004 Floods in The Gambia

Assessment of Impact on Impact/Damages of the 1999 and 2004 Floods in The Gambia. BY MR. LAMIN MAI TOURAY DEPARTMENT OF WATER RESOURCES 7, MARINA PARADE, BANJUL TEL: (220) 4472720/ 4227631 MOBILE: (220)9983845/7049759/6558063 Email: lmtouray@dosf.gov.gm ; touraylm@yahoo.co.uk. OUTLINE.

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Assessment of Impact on Impact/Damages of the 1999 and 2004 Floods in The Gambia

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  1. Assessment of Impact on Impact/Damages of the 1999 and 2004 Floodsin The Gambia BY MR. LAMIN MAI TOURAY DEPARTMENT OF WATER RESOURCES 7, MARINA PARADE, BANJUL TEL: (220) 4472720/ 4227631 MOBILE: (220)9983845/7049759/6558063 Email: lmtouray@dosf.gov.gm; touraylm@yahoo.co.uk

  2. OUTLINE • GEOGRAPHICAL LOCATION • INTRODUCTION • CAUSES OF FLOODING • FLOOD EVENTS • IMPACT OF THE 1999 AND 2004 FLOODS • ANSWER TO SOME OF THE QUESTIONS RAISED IN THE GUIDELINES.

  3. GEOGRAPHICAL LOCATION THE GAMBIA

  4. INTRODUCTION • The Gambia flanks the river Gambia on its North and South banks. • Placing the country squarely within the flood plains of the river Gambia. • Generally riverbanks are relatively high in the Upper River Region (URR) and is below 1 metre in the rest of the country. • River Gambia flows in two directions (from upstream towards down stream and the reverse).

  5. CAUSES OF FLOODING • Flooding in the Gambia is caused by riverine floods, high tidal levels, heavy down pour and poor drainage, or in any combination.

  6. FLOOD EVENTS • Floods occur along the rivers (riverine flood) and also far from them (flash flood). • In 1948 flash floods affected city of Banjul, Yundum and Busumbala villages. • 1948 flood was caused by poor drainage after heavy torrential rains. • Other flood events were in 1954, 1955 and 1956, but the magnitudes were lesser than 1948.

  7. FLOOD EVENTS CONTD • In recent years, 1988, 1999, 2002, 2003, 2004, 2005, 2007, 2008 and 2009 both riverine floods and flash floods occurred. • Flash floods affected mostly the greater Banjul area due to poor drainage system. • Riverine floods occurred in part of CRR and URR.

  8. IMPACT OF THE 1999 AND 2004 FLOODS

  9. JAS 1999 FORECAST USING THE NATIONAL MODEL RRi = 0.272 + (0.064*NWA45T) + (-0.066*NIN45T) +(-0.116*EOF45) 40 35 25 Above Normal Key Normal Below Normal

  10. JAS 1999 Observed Rainfall

  11. JAS 1999 Observed Rainfall

  12. IMPACT OF THE 1999 FLOODS • Floods in 1999 and 2004 affected over 13 percent of the overall population. • Due to flooding: • In 1999 • 4,500 MT of millet was lost in NBR • 287 MT of paddy rice was lost in URR • In URR riverine floods disrupt transportation across the river to either banks, hampering the smooth flow of goods and people. Source: National Disaster relief committee

  13. JAS 2004 FORECAST USING THE NATIONAL MODEL RRi = 0.272 + (0.064*NWA45T) + (-0.066*NIN45T) +(-0.116*EOF45) 30 45 25 Above Normal Key Normal Below Normal

  14. JAS 2004 Observed Rainfall

  15. JAS 2004 Observed Rainfall

  16. IMPACT OF THE 2004 FLOODS • In 2004 • 7,990 people were affected • more than 70 houses were destroyed in URR • 3 children were killed and several injured in URR • 50 livestock were killed in URR • household goods and foodstuff worth millions of Dalasis also perished in URR. • 300 people made homeless in CRR • 53 houses destroyed in Brikama Gidda in WR Source: National Disaster relief committee

  17. Data • Which data does your services currently use to study past cases? • Data bank • Would your service be able and willing to contribute some of these data sets to an eventual “Africa-Thorpex Information System”? • Yes • Is there a clear need for training to access and use other available data sources in your service? • Yes • Training on Clidata (currently using Clicom) • Idrisi and other GIS softwares

  18. Modeling • Are statistical models used by your service in addition or in preference to numerical models? • Yes. In 1998 DWR in collaboration with ACMAD developed a statistical model in forecasting the July-August-September rainfall out look and this was found useful in mitigation of effects of extreme weather phenomena. • Does your service use numerical model output to forecast severe weather? • No because of poor resolution • Do you think there is sufficient expertise in your service to use numerical models adequately? • No. Most of our forecasters are yet to identify the strengths and weaknesses of the numerical model output over our area.

  19. Inter-Agency and International Communication • Does your service participate in the “consensus seasonal forecasting process” and is this considered useful for the prediction and planning for severe weather? • During the past twelve years (1998 -2009), ACMAD in collaboration with the NMHSs have been producing seasonal forecast for West Africa, Cameroon and Chad. • This is found to be very useful in planning for and mitigating of severe weather events by the National Disaster relief committee among others. • Does your agency desire and encourage more pan-regional cooperation for prediction and planning? • Yes • What is the set up to coordinate between agencies in your country? • Multi-Disciplinary Working Group • Who deals with the coordination with NGOs? • Through National Climate Committee

  20. THANK YOU FOR YOUR ATTENTION!!!

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