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“Methodological approach for a better estimation of water erosion in the watershed of OUED NAKHLA ”. Realised by :. Mr.JABBAR Tahar. Supervised by :. Pr. Mounir F. Pr. SABIR M. Mr. EZZINE H. 3. 3. Plan . Introduction. 1. Methodology. 2. 3. Results. Conclusion. 4.
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“Methodological approach for a better estimation of water erosion in the watershed of OUED NAKHLA ” Realised by: Mr.JABBAR Tahar Supervised by: Pr. Mounir F. Pr. SABIR M. Mr. EZZINE H.
3 3 Plan Introduction 1 Methodology 2 3 Results Conclusion 4
Introduction Méthodology Results Conclusion water Quantity Quality 1/5 of world population has no access to drinking water In Morocco: 2000 1000 m3/hab./y Strategic issue 2030 500 m3/hab./an
Introduction Méthodology Results Conclusion • L’extension urbanistique • et touristique - Industrialprogress Water resources • The extension of irrigated land • Irrational irrigation - Siltation of the dams Water needs(3% /y) • Pollution (agricultural & • industrial) to mitigate the Causes of deterioration of water resources in the watershed. - Climate change Insistent & global vision integrated approachat the level of the WS
Introduction Méthodology Results Conclusion Objectives • An assessment of the annualsoilloss in the Nakhlawatershed Spain • The Comparison of threemodels(SWAT,USL E& IMPELERO) of water erosion to the Moroccan conditions Spain NorthernMorocco
Introduction Results Conclusion Methodology USLE Assessment of water erosion: I rainfallerosivity • meteorological data R factor K Factor Soilerodibility • geomorphological mapGeological map granulometric data LS factor C Factor • ASTER GDEM Pertes en sol délivrées à l’exutoire P Factor • satellite image landuse USLE A = R*K*LS*C*P • map of soillosses
Introduction Methodology Results Conclusion et recommandations Zone d’étude ImpelERO
Introduction Results Conclusion Methodology Model aplication An hybridmodel of expert-decisiontreesand artificial neural networks input input/output & application model
Introduction Results Conclusion Methodology SWAT (Soil and Water Assessment Tool ) Based on the modified Universal Soil Loss Equation (MUSLE) A Several versions have been created since 1994. The version used for our work is that of 2009
Introduction Results Conclusion Methodology Delineation of WS DEM Subwatershed Delineation of subWS Climate data Soilmap HydrologicResponse Unit (HRU) Scenarios of agricultural practices landuse • Map of soilloss
Introduction Méthodology Results Conclusion R A = R * K K * LS LS * C * P • R=143 log (P* P224*10-6) + 89,7 Heusch _1970 100*K = 2.1*10-4*M1,14(12-a) + 3.25 (b-2) + 2.5 (c-3) Barril (1988) LS = (L/22,15)m *(65,41sin2S + 4,56 sin S + 0,065) Wischmeier & Smith (1978) C P
Introduction Méthodology Results Conclusion SWAT Sed =11.8 x (Qsurf x qpeak x SHRU) 0.56x KUSLE x CUSLE x PUSLE x LSUSLE 13,35 t/ha/an DR 38 %. 140 t/ha/y 39t/ha/y 55t/ha/y 70t/ha/y
Introduction Méthodology Results Conclusion ImpelERO Qualitative results by deciontree Quantitative results by expert neural network
Introduction Méthodology Results Conclusion Runoff Qualitative results Quantitative results Horizon_20y Horizon_50y Horizon_100y Erodibility Reduction of prodectivity Relief
Introduction Méthodology Results Conclusion 28% 40% 21% 7%
Introduction Méthodology Results Conclusion Comparison of soil losses estimated and observed Data analysis experimentalparcels Conclusion So we can wonder where is the problem . Is it in the modelisation process or/and in the experimental design ?
AGORA Project Training In KTU Objectives : • Strengthen the knowledgein the forest management planning; • Acquire the knowledge and skills in GIS and remotesensing; • Use of geomatics sciences to estimate a soilloss in the watershed; • Erosionmodelsused in the Mediterranean basin and theirintegrationinto • the GIS software; • Forest management through the web mapping
Training In KTU Program Theoretical courses & practicalworks: Theoretical courses & practicalworks: • Ecosystem-based multi-purpose planning ; Pr. Ali İHSAN KADIOGULLARI; • Ecologicalmodeling; Pr. BİLGİLİ E.; • Forest management ; Pr. ZEKİ BAŞKENT E.; • Forest and biodiversity ; Pr. TERZİOĞLU S.; • Geographic information system (GIS) ; Pr. EMİN ZEKİ BAŞKENT. • Use of remotesensing in the naturelle ressources field ; Pr.KARAHIL U., Visits to the forest department Conferences At the end of 45 days of training, wewere able to benefitfromknowledge and expertise and learnfrom the experiences of ourTurkishfriends
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