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

Slides:



Advertisements
Similar presentations
Engineering Hydrology (ECIV 4323)
Advertisements

Hydrological Modeling for Upper Chao Phraya Basin Using HEC-HMS UNDP/ADAPT Asia-Pacific First Regional Training Workshop Assessing Costs and Benefits of.
Forest Hydrology: Lect. 18
Runoff Processes Reading: Applied Hydrology Sections 5.6 to 5.8 and Chapter 6 for Tuesday of next week.
OKLAHOMA STATE UNIVERSITY Biosystems and Agricultural Engineering Department Hydrology 101 OKLAHOMA STATE UNIVERSITY Biosystems and Agricultural Engineering.
Hydrology: Discharge, Hydrographs, Floods, and Sediment Transport Unit 1: Module 4, Lecture 2.
QbQb W2W2 T IPIP Redistribute W 0 W 1 and W 2 to Crop layers Q W1W1 ET 0, W 0, W 1, W 2 I T from 0, 1 & 2, I P A Coupled Hydrologic and Process-Based Crop.
Calibration: Calibration was sensitive to lateral conductivity and exponential decay in soil conductivity. The sediment module of DHSVM 3.0 was sensitive.
Calibration: Calibration was sensitive to lateral conductivity and exponential decay in soil conductivity. The sediment module of DHSVM 3.0 was sensitive.
Landslide Susceptibility Mapping to Inform Land-use Management Decisions in an Altered Climate Muhammad Barik and Jennifer Adam Washington State University,
The Impacts of Climate Change on Portland’s Water Supply Richard Palmer and Margaret Hahn University of Washington Department of Civil and Environmental.
Forest Hydrology Issue: Interaction of forests, fish, and climate One of the dominant pathways by which land cover change affects freshwater fish habitat.
impacts on agriculture and water resources
Dennis P. Lettenmaier Lan Cuo Nathalie Voisin University of Washington Climate Impacts Group Climate and Water Forecasts for the 2009 Water Year October.
S. Fork Nooksack River, WA. Reasons for Land Clearing Agriculture Lumber Mining Urban Development.
Crop Physical System of Dams and Reservoirs Climate change impacts on water supply and irrigation water demand in the Columbia River Basin Jennifer Adam.
The role of spatial and temporal variability of Pan-arctic river discharge and surface hydrologic processes on climate Dennis P. Lettenmaier Department.
Hydrological Modeling FISH 513 April 10, Overview: What is wrong with simple statistical regressions of hydrologic response on impervious area?
Hydrologic/Watershed Modeling Glenn Tootle, P.E. Department of Civil and Environmental Engineering University of Nevada, Las Vegas
Alan F. Hamlet Dennis P. Lettenmaier Center for Science in the Earth System Climate Impacts Group and Department of Civil and Environmental Engineering.
Washington State Climate Change Impacts Assessment: Implications of 21 st century climate change for the hydrology of Washington Marketa M Elsner 1 with.
Climatic variability, land-cover change, and forest hydrology in the Pacific Northwest David W. Peterson JISAO Climate Impacts Group Forest Hydrology.
Routing GenRiver 1.0 Distributed process-based model spatial scale: ha,temporal scale: daily Can be used as a tool to explore our understanding.
Land Cover Change and Climate Change Effects on Streamflow in Puget Sound Basin, Washington Lan Cuo 1, Dennis Lettenmaier 1, Marina Alberti 2, Jeffrey.
CE 424 HYDROLOGY 1 Instructor: Dr. Saleh A. AlHassoun.
The hydrological cycle of the western United States is expected to be significantly affected by climate change (IPCC-AR4 report). Rising temperature and.
Engineering Hydrology (ECIV 4323)
Watersheds Chapter 9. Watershed All land enclosed by a continuous hydrologic drainage divide and lying upslope from a specified point on a stream All.
VFR Research - R. Hudson Basic Hydrology Streamflow: Hydrographs; Case studies of logging effects on streamflow; Peak flow.
Aihui Wang, Kaiyuan Li, and Dennis P. Lettenmaier Department of Civil and Environmental Engineering, University of Washington Integration of the VIC model.
Towards development of a Regional Arctic Climate System Model --- Coupling WRF with the Variable Infiltration Capacity land model via a flux coupler Chunmei.
Alan F. Hamlet, Philip W. Mote, Dennis P. Lettenmaier JISAO/CSES Climate Impacts Group Dept. of Civil and Environmental Engineering University of Washington.
Fire Effects on Water. The Watershed Concept What is a watershed? Area of land that drains into a common outlet Watershed condition- health or status.
Alan F. Hamlet Dennis P. Lettenmaier JISAO Center for Science in the Earth System Climate Impacts Group and Department of Civil and Environmental Engineering.
The changing contribution of snow to the hydrology of the Fraser River Basin Do-Hyuk “DK” Kang 1, Xiaogang Shi 2, Huilin Gao 3, and Stephen J. Déry 1 1.
Surface Water Surface runoff - Precipitation or snowmelt which moves across the land surface ultimately channelizing into streams or rivers or discharging.
VFR Research - R. Hudson VFR Research Section Introduction to Hydrology Dr. Rob Hudson, P.Geo.
Hydrologic Forecasting Alan F. Hamlet Dennis P. Lettenmaier JISAO/CSES Climate Impacts Group Dept. of Civil and Environmental Engineering University of.
Alan F. Hamlet Andy Wood Dennis P. Lettenmaier JISAO Center for Science in the Earth System Climate Impacts Group and the Department.
Impacts of Landuse Management and Climate Change on Landslides Susceptibility over the Olympic Peninsula of Washington State Muhammad Barik and Jennifer.
CE 374 K – Hydrology Second Quiz Review Daene C. McKinney.
Development of a Sediment Transport Component for DHSVM Colleen O. Doten a, Laura C. Bowling b, Edwin P. Maurer c, Nathalie Voisin a, and Dennis P. Lettenmaier.
Surface Water Applied Hydrology. Surface Water Source of Streamflow Streamflow Characteristics Travel Time and Stream Networks.
DOWNSCALING GLOBAL MEDIUM RANGE METEOROLOGICAL PREDICTIONS FOR FLOOD PREDICTION Nathalie Voisin, Andy W. Wood, Dennis P. Lettenmaier University of Washington,
VERIFICATION OF A DOWNSCALING SEQUENCE APPLIED TO MEDIUM RANGE METEOROLOGICAL PREDICTIONS FOR GLOBAL FLOOD PREDICTION Nathalie Voisin, Andy W. Wood and.
Hydrological Simulations for the pan- Arctic Drainage System Fengge Su 1, Jennifer C. Adam 1, Laura C. Bowling 2, and Dennis P. Lettenmaier 1 1 Department.
DIRECT RUNOFF HYDROGRAPH FOR UNGAUGED BASINS USING A CELL BASED MODEL P. B. Hunukumbura & S. B. Weerakoon Department of Civil Engineering, University of.
From catchment to continental scale: Issues in dealing with hydrological modeling across spatial and temporal scales Dennis P. Lettenmaier Department of.
RACC High School Training June 26, 2012 Jody Stryker University of Vermont Introduction to Watershed Hydrology.
Upper Rio Grande R Basin
Hydrologic Considerations in Global Precipitation Mission Planning
Lan Cuo1, Dennis Lettenmaier1, Marina Alberti2, Jeffrey Richey3
Infiltration and Saturation Excess Runoff
Model-Based Estimation of River Flows
Streamflow Simulations of the Terrestrial Arctic Regime
Reading: Applied Hydrology Sections 5.1 and 5.2
Streamflow Processes Watershed – area of land draining into a stream at a given location Streamflow – gravity movement of water in channels Surface and.
Civil and Environmental Engineering
Predicting the hydrologic and water quality implications of climate and land use change in forested catchments Dennis P. Lettenmaier Department of Civil.
150 years of land cover and climate change impacts on streamflow in the Puget Sound Basin, Washington Dennis P. Lettenmaier Lan Cuo Nathalie Voisin University.
Kostas M. Andreadis1, Dennis P. Lettenmaier1
Hydrologic Forecasting
Fire Effects on Water September 27, 2006.
DHSVM Distributed Hydrology Soil Vegetation Model
Model-Based Estimation of River Flows
Results for Basin Averages of Hydrologic Variables
Forests, water & research in the Sierra Nevada
WRE-1 BY MOHD ABDUL AQUIL CIVIL ENGINEERING.
UW Hydrologic Forecasting: Yakima R. Discussion
Results for Basin Averages of Hydrologic Variables
Presentation transcript:

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

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

1) Continental and regional signatures of land cover change

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

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)

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

Assessment approach – spatially distributed hydrologic modeling

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

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

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

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

Sources of road-derived runoff

Surface routes for road runoff

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

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

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

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

Portraying Watershed Change Sediment Model Wildfire in the Icicle Creek basin

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

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)

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)

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

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

Regional Land Use Change Presettlement Land UseModern Land Use

Land Use Changes: Change in Forest Cover

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

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

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

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

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

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

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

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

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