distributed modelling simplified hydrological process models for humid areas
DESCRIPTION
Presented by Seifu Tilahun and Tammo Steenhuism at the Nile BDC Symposium on Modeling in the Blue Nile Basin, Addis Ababa, 12 November 2012TRANSCRIPT
![Page 1: Distributed modelling simplified hydrological process models for humid areas](https://reader037.vdocuments.us/reader037/viewer/2022102823/547acb96b4af9f70288b4c31/html5/thumbnails/1.jpg)
Seifu Tilahun and Tammo SteenhuisSeifu Tilahun and Tammo SteenhuisSchool of Civil & Water Resources Engineering,School of Civil & Water Resources Engineering,
Bahir Dar University in cooperation with Cornell UniversityBahir Dar University in cooperation with Cornell University
DISTRIBUTED MODELLING SIMPLIFIEDHYDROLOGICAL PROCESS MODELS for HUMID AREAS
Nile BDC Symposium on Modeling in the Blue Nile BasinNile BDC Symposium on Modeling in the Blue Nile BasinAddis Ababa, 12 November 2012Addis Ababa, 12 November 2012
![Page 2: Distributed modelling simplified hydrological process models for humid areas](https://reader037.vdocuments.us/reader037/viewer/2022102823/547acb96b4af9f70288b4c31/html5/thumbnails/2.jpg)
DISTRIBUTED HYDROLOGICAL MODELS: AN OVERVIEW
• Usually require hundreds of distributed parameters that are validated with the outflow hydrograph and in many cases calibration is time consuming
• Models are based on infiltration excess while saturation excess is dominant in (semi) humid Ethiopian highlands
• Downhill water flows through the soil is neglected in many distributed models
More input parameters not necessarily give
better resultsbut give more flexibility in applications
![Page 3: Distributed modelling simplified hydrological process models for humid areas](https://reader037.vdocuments.us/reader037/viewer/2022102823/547acb96b4af9f70288b4c31/html5/thumbnails/3.jpg)
OVERVIEW OF PRESENTATION
1. Experimental a) Data shows that infiltration is greater than rainfall intensity
for well vegetated watershedsb) Soils need to wet up before runoff occcursc) Runoff and erosion occurs from saturated bottom lands
and degraded hillsides with shallow soils2. Modeling
a) Show simulations for runoff and erosion with saturated contributing areas
3. Applications
![Page 4: Distributed modelling simplified hydrological process models for humid areas](https://reader037.vdocuments.us/reader037/viewer/2022102823/547acb96b4af9f70288b4c31/html5/thumbnails/4.jpg)
Experimental Experimental WatershedsWatersheds
Cornell, BDU and IWMI started research in Cornell, BDU and IWMI started research in 2008 employing many students. ARARI 2008 employing many students. ARARI cooperation since 2002cooperation since 2002
![Page 5: Distributed modelling simplified hydrological process models for humid areas](https://reader037.vdocuments.us/reader037/viewer/2022102823/547acb96b4af9f70288b4c31/html5/thumbnails/5.jpg)
Debra MawiDebra Mawi • 1 Automatic Rain Gauge
• 4 weirs installed & measured storm runoff (40 -50 events)
• 1 weir at the outlet (Adet Research Center)
• 19 piezometers to measure ground Water level
• 14 infiltration test• Sediment
concentration from 5 weirs (40 -50 events)
• Rill measurement from 10 agricultural fields
• 4 Gully profile measurement
![Page 6: Distributed modelling simplified hydrological process models for humid areas](https://reader037.vdocuments.us/reader037/viewer/2022102823/547acb96b4af9f70288b4c31/html5/thumbnails/6.jpg)
Infiltration Rate vs. Infiltration Rate vs. Rainfall IntensityRainfall Intensity
Maybar Debre Mawi
Bayabil et al. 2010 Ecohydrology
![Page 7: Distributed modelling simplified hydrological process models for humid areas](https://reader037.vdocuments.us/reader037/viewer/2022102823/547acb96b4af9f70288b4c31/html5/thumbnails/7.jpg)
Saturated AreasSaturated Areas
As = 10%
Saturation
Weir-1
![Page 8: Distributed modelling simplified hydrological process models for humid areas](https://reader037.vdocuments.us/reader037/viewer/2022102823/547acb96b4af9f70288b4c31/html5/thumbnails/8.jpg)
Location of runoff source and infiltrating areas
Hill slope Areas
Surface runoff
infiltration
interflowv
![Page 9: Distributed modelling simplified hydrological process models for humid areas](https://reader037.vdocuments.us/reader037/viewer/2022102823/547acb96b4af9f70288b4c31/html5/thumbnails/9.jpg)
RUNOFF PLOTS (MAYBAR)SURFACE RUNOFF DECREASES WITH STEEPNESS
16 37 43 64 slope of land
Runoff Coefficients
![Page 10: Distributed modelling simplified hydrological process models for humid areas](https://reader037.vdocuments.us/reader037/viewer/2022102823/547acb96b4af9f70288b4c31/html5/thumbnails/10.jpg)
RunoffRunoff1
2
3
4
5
![Page 11: Distributed modelling simplified hydrological process models for humid areas](https://reader037.vdocuments.us/reader037/viewer/2022102823/547acb96b4af9f70288b4c31/html5/thumbnails/11.jpg)
ModelingModeling
Constant area for storm Constant area for storm outflow from two zones outflow from two zones after the threshold is after the threshold is exceededexceeded
Rain infiltrates in the Rain infiltrates in the remaining area and remaining area and becomes subsurface flow becomes subsurface flow
Amount of runoff and Amount of runoff and recharge can be simulated recharge can be simulated by a water balanceby a water balance
LOOKS COMPLICATED BUT MODEL HAS ONLY
NINE INPUT PARAMETERSAND CAN BE RUN IN A SPREADSHEET
![Page 12: Distributed modelling simplified hydrological process models for humid areas](https://reader037.vdocuments.us/reader037/viewer/2022102823/547acb96b4af9f70288b4c31/html5/thumbnails/12.jpg)
Discharge Anjeni 113 ha
![Page 13: Distributed modelling simplified hydrological process models for humid areas](https://reader037.vdocuments.us/reader037/viewer/2022102823/547acb96b4af9f70288b4c31/html5/thumbnails/13.jpg)
Discharge Enkulal watershed, 400 ha
![Page 14: Distributed modelling simplified hydrological process models for humid areas](https://reader037.vdocuments.us/reader037/viewer/2022102823/547acb96b4af9f70288b4c31/html5/thumbnails/14.jpg)
12
3
4
5
Debra Mawi Debra Mawi
Locations ParametersArea
A1
Smax in A1
Area
A2
Smax in A2
Area
A3
Smax in A3 BSmax t½ τ*
Weir Unit % mm % mm % mm mm days days
5
Magnitude
15 80 30 30 55 60 80 70 5
4 20 80 30 30 25 60 80 70 5
3 5 80 30 30 15 60 80 70 5
1 10 80 20 30 40 60 80 70 5
![Page 15: Distributed modelling simplified hydrological process models for humid areas](https://reader037.vdocuments.us/reader037/viewer/2022102823/547acb96b4af9f70288b4c31/html5/thumbnails/15.jpg)
Gumura 1200 km2
Nash Sutcliff = 0.74 on daily valuesTime of calibration:Bahir Dar to Addis Ababa by plane
![Page 16: Distributed modelling simplified hydrological process models for humid areas](https://reader037.vdocuments.us/reader037/viewer/2022102823/547acb96b4af9f70288b4c31/html5/thumbnails/16.jpg)
DischargeBlue Nile watershed, 180,000 km2
Nash Sutcliff0.95 for 10-day runoff
![Page 17: Distributed modelling simplified hydrological process models for humid areas](https://reader037.vdocuments.us/reader037/viewer/2022102823/547acb96b4af9f70288b4c31/html5/thumbnails/17.jpg)
SUMMARY HYDROLOGY MODEL
• Predicting runoff for vegetated and sloping watershed with rainfall in excess of 600 mm/year can be accomplished with a distributed model with two areas that represent the shallow soils and potentially saturated soil that produce runoff, In the remaining part of the watershed where water that infiltrates and that flows out slowly.
• Other biological processes and implementation of Soil and water conservation practices will require smaller scales that can be superimposed. SWAT with HRU’s that can account for topography can be empoyed for these smaller scales
![Page 18: Distributed modelling simplified hydrological process models for humid areas](https://reader037.vdocuments.us/reader037/viewer/2022102823/547acb96b4af9f70288b4c31/html5/thumbnails/18.jpg)
{{
ErosionErosion
![Page 19: Distributed modelling simplified hydrological process models for humid areas](https://reader037.vdocuments.us/reader037/viewer/2022102823/547acb96b4af9f70288b4c31/html5/thumbnails/19.jpg)
Sediment Concentration: Debre Sediment Concentration: Debre MawiMawi
![Page 20: Distributed modelling simplified hydrological process models for humid areas](https://reader037.vdocuments.us/reader037/viewer/2022102823/547acb96b4af9f70288b4c31/html5/thumbnails/20.jpg)
Rill & Gully erosion Rill & Gully erosion Debre MawiDebre Mawi
– 120 ton ha -1 yr-1 in 2010
81m2 in 2005
321m2 in 2010
625m2 in 2011
![Page 21: Distributed modelling simplified hydrological process models for humid areas](https://reader037.vdocuments.us/reader037/viewer/2022102823/547acb96b4af9f70288b4c31/html5/thumbnails/21.jpg)
• Concentration Cr in overland flow is proportional to velocity V,
EROSION PREDICTION MODELED AFTER HAIRSHINE AND ROSE
Cr= a V
![Page 22: Distributed modelling simplified hydrological process models for humid areas](https://reader037.vdocuments.us/reader037/viewer/2022102823/547acb96b4af9f70288b4c31/html5/thumbnails/22.jpg)
• Transport limiting (rill formation) – a=aT
Surface runoff carries all the sediment it can -----
• Source limiting (splash erosion) – a = aS
Concentration is limited by sediment delivered to rill• Transport limited after plowing and source limited after
soils are permanently wet around August 1
EROSION PREDICTIONMODELED AFTER HAIRSHINE AND ROSE Cr= a V
![Page 23: Distributed modelling simplified hydrological process models for humid areas](https://reader037.vdocuments.us/reader037/viewer/2022102823/547acb96b4af9f70288b4c31/html5/thumbnails/23.jpg)
INPUT DATA FOR SEDIMENT MODELING
Surface runoff interflow and baseflow from three areas from model
<30 days; 30 - 60 days >60 days H = 1 H decreases 1→0 H=0
![Page 24: Distributed modelling simplified hydrological process models for humid areas](https://reader037.vdocuments.us/reader037/viewer/2022102823/547acb96b4af9f70288b4c31/html5/thumbnails/24.jpg)
ComponentDescripti
onparamete
rsUnit
Calibrated Values
Anjeni EnkulalBlue Nile
Debre Mawi
Hydrology
Saturated area
Area A1fractio
n0 0.1 0.2 0.15
Smax in A1 mm - 50 200 80
Degraded area
Area A2fractio
n0.15 0.2 0.2 0.30
Smax in A2 mm 10 10 25 30
HillsideArea A3
fraction
0.5 0.3 0.6 0.55
Smax in A3 mm 100 50 250 60Subsurface
t½ days 70 120 80 70τ* days 10 100 200 5
Sediment transport limit atsee text
4.5 17 1.2 14
Sediment Source limit assee text
3 5 0.5 3
Nash Sutcliffe Efficiencies
Time step days 1 7 10 1
Hydrologycalibration
none 0.84 0.75 0.95 0.82
validation none 0.80 0.92 -
Erosioncalibration
none 0.70 0.76 0.86 0.75
validation none 0.75 0.72
![Page 25: Distributed modelling simplified hydrological process models for humid areas](https://reader037.vdocuments.us/reader037/viewer/2022102823/547acb96b4af9f70288b4c31/html5/thumbnails/25.jpg)
Sediment predictions Sediment predictions ANJENI ANJENI 113 ha 113 ha
Nash Sutcliff0.75 on daily values
![Page 26: Distributed modelling simplified hydrological process models for humid areas](https://reader037.vdocuments.us/reader037/viewer/2022102823/547acb96b4af9f70288b4c31/html5/thumbnails/26.jpg)
Sediment concentration Enkulal watershed, Sediment concentration Enkulal watershed, 400 ha400 ha
Nash Sutcliff = 0.76Nash Sutcliff = 0.76
![Page 27: Distributed modelling simplified hydrological process models for humid areas](https://reader037.vdocuments.us/reader037/viewer/2022102823/547acb96b4af9f70288b4c31/html5/thumbnails/27.jpg)
Sediment Concentration Debre Mawi95 ha
![Page 28: Distributed modelling simplified hydrological process models for humid areas](https://reader037.vdocuments.us/reader037/viewer/2022102823/547acb96b4af9f70288b4c31/html5/thumbnails/28.jpg)
Blue Nile Basin 180,000 Blue Nile Basin 180,000 kmkm22
![Page 29: Distributed modelling simplified hydrological process models for humid areas](https://reader037.vdocuments.us/reader037/viewer/2022102823/547acb96b4af9f70288b4c31/html5/thumbnails/29.jpg)
Runoff from
• degraded areas,
• farmland that saturate,
• saturated bottom lands
WHAT ABOUT WATERSHED
MANAGEMENT?
![Page 30: Distributed modelling simplified hydrological process models for humid areas](https://reader037.vdocuments.us/reader037/viewer/2022102823/547acb96b4af9f70288b4c31/html5/thumbnails/30.jpg)
Treat Degraded Area where runoff is generated
Management for reducing soil loss
GULLYPlant Elephant grass
![Page 31: Distributed modelling simplified hydrological process models for humid areas](https://reader037.vdocuments.us/reader037/viewer/2022102823/547acb96b4af9f70288b4c31/html5/thumbnails/31.jpg)
{{
A Management A Management question: question:
Traditional Traditional water water managemnt managemnt practices practices appropriate?appropriate?
Do we need to store more water on land where the farmer carries off excess water?
Fall uplandFall Bottom land
![Page 32: Distributed modelling simplified hydrological process models for humid areas](https://reader037.vdocuments.us/reader037/viewer/2022102823/547acb96b4af9f70288b4c31/html5/thumbnails/32.jpg)
Keeping saturation Keeping saturation below the gully below the gully bottom is importantbottom is important
Do we know Do we know
how to stop how to stop
the gully process? the gully process?
![Page 33: Distributed modelling simplified hydrological process models for humid areas](https://reader037.vdocuments.us/reader037/viewer/2022102823/547acb96b4af9f70288b4c31/html5/thumbnails/33.jpg)
Most effective best management Most effective best management take climate and lands ape take climate and lands ape position in to accountposition in to account
Saturation excess models for Saturation excess models for (semi) humid areas perform (semi) humid areas perform better than infiltration excess better than infiltration excess modelsmodels
ConclusionConclusion
![Page 34: Distributed modelling simplified hydrological process models for humid areas](https://reader037.vdocuments.us/reader037/viewer/2022102823/547acb96b4af9f70288b4c31/html5/thumbnails/34.jpg)
Many publications are at Many publications are at http://soilandwater.bee.cornell.edu/http://soilandwater.bee.cornell.edu/
ororgoogle: soil and water cornell ethiopiagoogle: soil and water cornell ethiopia
Thank You!!Thank You!!