USING SWAT TO SIMULATE HYDROLOGY IN A ST ...Presentation Outline Research objectives Soil and Water...
Transcript of USING SWAT TO SIMULATE HYDROLOGY IN A ST ...Presentation Outline Research objectives Soil and Water...
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USING SWAT TO SIMULATE
HYDROLOGY IN A ST. MARY
WATERSHED
Johanna Richards
McGill UniversityJune 23, 2010
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Presentation Outline
� Research objectives
� Soil and Water Assessment Tool (SWAT)
� Model inputs
� Site description
� Calibration and validation methodology
� Hydrological modelling results
� Potential for future use within Jamaican irrigation
planning
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Objectives of Study
� Determine applicability of SWAT for simulating
hydrology in the Rio Nuevo sub-basin
� Calibrate and validate the model with streamflow
� Determine the potential of the model to be used in
irrigation planning and management
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Soil and Water Assessment Tool
� Continuous, physically based, semi-distributed
hydrologic model
� Works on daily and sub-daily time steps
� Computationally efficient
� Can be used to model hydrology, sediment, and
nutrient run-off
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Soil and Water Assessment Tool
� Integrated with Geographical Information Systems
(GIS)
� ArcSwat-2005
� Allows for efficient input of spatially distributed
data:
� Landuse
� Topography
� Soil types
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Site Description
� Rio Nuevo watershed is 110 km2
� Location of the CARIWIN pilot site
� Located in the Blue Mountain North Watershed in the parish of
St. Mary
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Landuse Distribution
� Rural watershed
� Agriculture is the
largest industry
� Bananas, scotch bonnet
peppers, plantains,
vegetables
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Soil distribution
� Clay soils dominate
the watershed
� Soils highly variable
throughout the
watershed
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Description of hydrostratigraphy
� 85% of the watershed
consists of basal
aquiclude
� 15% is karstic
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Data Inputs
Data Type Source
Digital Elevation Model
(DEM)
250 ft digital contours
provided by the Jamaica
Water Resources Authority
2001 Land Use
Forestry Department,
Jamaica
Soils data
Rural Physical Planning
Unit- Ministry of
Agriculture
Stream network
Jamaica Water Resources
Authority
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Location of monitoring points
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Calibration and Validation
� Calibrated on a monthly time scale using data
from the period 2002 to 2004
� Most sensitive model parameters identified and
modified to achieve optimal model performance
� Validated on a monthly time scale using data from
the period 2005 to 2007
� Gives an indication of accuracy and robustness of
model
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Calibration and Validation
Parameter Units Description
Groundwater delay
(GW_DELAY)days
The time lag between when water
exits the soil profile and enters the
shallow aquifer
Deep aquifer
percolation fraction
(RCHDP)
-
The fraction of percolation from the
root zone which recharges the deep
aquifer
Baseflow recession
constant (ALPHA_BF)days
An index that represents the
response of groundwater to
changes in recharge
•Model calibrated on a monthly time scale using data from the
period 2002 to 2004
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Calibration
Paramete
r Range Unit Un-calibrated Calibrated
GW_DELAY 0-500 days 31 35
RCHDP 0-1 - 0.05 0.15
ALPHA_BF 0-1 days 0.048 0.9
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Calibrated Streamflow
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Results: Validation
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Model Performance Evaluation:
Overview of model parameters
� Nash-Sutcliffe Efficiency (NSE)
� Fit of simulated vs. observed values
� Percent Bias (PBIAS)
� Tendency of simulated value to be larger or smaller
than it’s observed counterpart
� Ratio of the Root Mean Square Error to the
standard deviation of measured data (RSR)
� Indicates residual variation
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Model Performance Evaluation
Performance
Indicator
Calibrate
d
Performance
RatingValidated
Performance
RatingRange Ideal
NSE 0.8 Very Good 0.5 Satisfactory - ∞ to 1 1
PBIAS 9.5 Very Good 12.8 Good-∞ to +ve
∞0
RSR 0.5 Very Good 0.7 Satisfactory
0 to a
large
positive
number
0
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Model Limitations
� Rain gauges not located in the watershed
� Climatic data from Florida used
� Relative humidity, wind speed etc.
� Missing streamflow data
� Karsticity in watershed results in complex ground
and surface water interactions
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Potential for SWAT to be used in
irrigation management
� Basin-wide irrigation management approach
� SWAT can be used in:
� Comparing available water resources (streamflow) to
irrigation demand
� Determining water savings from different water
management scenarios
� Obtaining a much improved understanding of the water
balance
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Conclusions
� The Soil and Water Assessment Tool (SWAT)
applied to Rio Nuevo Watershed, St. Mary
� SWAT had acceptable model performance
� Potential exists for using SWAT for irrigation
demand management
� Hydrological modelling can play a significant role
in water resources management throughout the
island
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QUESTIONS?