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Predicting the hydrologic implications of land use change in forested catchments Dennis P. Lettenmaier Department of Civil and Environmental Engineering.

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Presentation on theme: "Predicting the hydrologic implications of land use change in forested catchments Dennis P. Lettenmaier Department of Civil and Environmental Engineering."— Presentation transcript:

1 Predicting the hydrologic implications of land use change in forested catchments Dennis P. Lettenmaier Department of Civil and Environmental Engineering University of Washington Chapman Conference on Ecosystem Interactions with Land Use Change June 14, 2003 Santa Fe, New Mexico

2 Outline of this talk Background – the signature of land use change Example 1 – Logging and flooding in the Pacific Northwest Example 2 –Hydrologic effects of vegetation change in the upper Midwest Some outstanding issues in prediction of hydrologic effects of land cover change

3 1) Continental and regional signatures of land cover change

4 Source: National Institute of Public Health and the Environment (RIVM, Netherlands) and the Center for Sustainability and the Global Environment (SAGE, University of Wisconsin). Estimated 1850 and 1990 global land cover

5 Early Conifer Middle Conifer Late Conifer Early Deciduous Middle Deciduous Late Deciduous Brush Agriculture Water Historical (1900) Current (1990) Columbia River basin estimated 1900 and 1990 vegetation cover (from ICBEMP)

6 2) Example 1: Logging and flooding in the Pacific Northwest

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9 Assessment approach – spatially distributed hydrologic modeling

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13 Mechanisms for hydrologic change Rain-on-snow runoff generation Channel manipulation via forest roads Water table (hence saturated area changes) via altered evaporative demand Combinations of above

14 Investigation of forest canopy effects on snow accumulation and melt Measurement of Canopy Processes via two 25 m 2 weighing lysimeters (shown here) and additional lysimeters in an adjacent clear-cut. Direct measurement of snow interception

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16 SWE difference for February 1996 ROS event; harvest - no harvest More snow at beginning of event Less snow at end of event

17 Simulated response to forest harvest Sub-basins of the Deschutes River, WA

18 Sources of road-derived runoff

19 Surface routes for road runoff

20 Effect of forest roads on water table Drier with roads Wetter with roads

21 Simulated streamflow w/ and w/o forest roads Hard Creek Ware CreekHard Creek Ware Creek

22 Bottom line: Both vegetation removal and roads contribute to increased peak runoff Effects more or less superimpose For the Deschutes basin, each effect represents about a 10% increase in the ~10 yr flood Relative magnitude of vegetation effect decreases with return period, road effect increases

23 Sediment Modeling with the DHSVM Watershed Sediment Module DHSVM MASS WASTING SURFACE EROSION CHANNEL EROSION Watershed Sediment Module OUTPUT Q Q sed

24 Portraying Watershed Change Sediment Model Wildfire in the Icicle Creek basin

25 Mass Wasting Module MASS WASTING Multiple realizations of total failure locations Multiple time series of sediment supply Soil depth DEM Soil type Vegetation type P(F) Soil cohesion Root cohesion Veg. Surcharge Friction angle

26 Surface Erosion Module Multiple time series of sediment supply Overland flow SURFACE EROSION Roads and streams Soil Precipitation Vegetation DEM Distribution of sediment delivery to channels (roads and streams)

27 Channel Erosion Module CHANNEL EROSION Channel flow Mean and standard deviation of sediment load for selected channel reaches Distribution of sediment delivery to channels (roads and streams)

28 Probability of slope failure before and after Fourth of July Fire Icicle Creek Vegetation Pre-fire Post-fire Approximate extent of August 2001 fire

29 3) Example 2 –Hydrologic effects of vegetation change in the upper Midwest

30 Regional Land Use Change Presettlement Land UseModern Land Use

31 Land Use Changes: Change in Forest Cover

32 Variable Infiltration Capacity (VIC) Macroscale Hydrologic Model Full Energy Balance Full Water Balance Mosaic Vegetation Cover Variable Infiltration Curve Generates Runoff Arno Baseflow Curve

33 Evaporation Changes Differences (mm) Evaporation (mm) Presettlement Land UseModern Land Use

34 Snow Cover Changes Differences (mm) Snow Water Equivalence (mm) Presettlement Land UseModern Land Use

35 Calibrated Flow Comparison Discharge was calibrated using: –Modern land use types –Discharge Observations from 1980-1989 Plots compare discharge for the first 5 simulation years (1951-1955) Discharge also generated for presettlement land use using the same parameters

36 Extreme Flow Comparison Annual peak and low flow events for Water Years 1951-1995 Compares simulated flow with presettlement and modern land use Both peaks and low flows are greater with modern land use

37 Cumulative Flow Comparison Cumulative discharge from 1951 to 1995 Decreased evaporation from smaller forested areas yields more runoff with modern land use

38 4) Some outstanding issues in prediction of hydrologic effects of land cover change

39 1. The calibration problem 1965 Flood Hydrograph (Flood of Record) 1969 Flood Hydrograph Mississippi River at Anoka, MN

40 2. The model complexity problem Effect of wildfire on simulated root cohesion


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