Transcript Slide 1
Invest 2.2.1
Sediment Retention model
Yonas Ghile
Talk Overview
Why care about ecosystem services?
InVEST
Sediment Retention Model
Hands-on Exercise
Case study
What are Ecosystem Services?
InVEST: Science in a Simple Tool
Integrated Valuation of Ecosystem Services and Tradeoffs
InVEST Attributes
– Multiple services
– Evaluate change
– Spatially explicit
– Biophysical & monetary
– Production functions
– Open source
Models
Simple
Complex
Data
Tier 0 Tier 1
Tier 2
Tier 3
Why sediment retention model?
Soil erosion and sediment can cause:
• Decrease in agricultural productivity,
• Degradation of fish habitat and aquatic life,
• Risk of structural failures
• water quality degradation.
Increase maintenance cost
Questions you get answers
Where are the Sediment sources?
Where are the Sediment retention
areas?
How much is retained?
What is the Value of this retention?
Informs Policy Makers to
Focus protection on areas that retain the most and pollute the
least
Design management practices that lead to maximize retention
Create payment programs to get most return on investment
(with tier2)
Identify places where other economic activities will conflict with
erosion control
How much costs can be avoided under future management or
conservation plans?
Sediment Retention Model
Slope
Conservation
factor
Erosivity
Soil Erodibility
Crop factor
Sediment loads
Loading
Valuation
Critical Loading
Time
Strengths
Uses readily available and minimum data.
Simple, applicable and spatially explicit
Link the biophysical functions to economic values
Values each parcel on the landscape
Limitations
Predicts erosion from sheet wash alone
Considers only individual effect of each variable
Relies on retention and filtration efficiency values for each LULC
Neglects the role of topography, soil, climate in the retention
processes
Accuracy limited in mountainous areas
Model Calibration and Testing
Sensitivity Analysis to identify most sensitive parameters
Model Calibration using long term average actual data
Find USLE parameters within acceptable ranges
Validate Model by conducting comparisons with observed data or
other model output
Hainan Island, China
Simulated vs Observed Soil loss (103 t)
45000
y = 122.55x
R² = 0.74
p < 0.01
Simulated soil loss (103 t)
40000
35000
30000
25000
20000
15000
10000
5000
0
0
50
100
150
Observed soil loss (103 t)
200
250
Hainan Island, China
RNF
2008
NRPE
IEM
RNF
1998
350
2008
NRPE
CEM
RNF
300
300
Soil loss (103 t)
Soil Loss (103 ton)
400
400
250
200
200
150
100
100
50
0 0
Nandujiang
Nandujiang
Wanquanhe
Wanquanhe
Changhuajiang
Changhuajiang
Scenarios for Mine Expansion
in Columbia
Current
Mines
Permits
Pending
Permits
Granted
All possible
permits
Mining in Columbia
Sediment Load (t/ha/yr)
Permits Granted
Permits Pending
All possible Permits
Mining in Columbia
High Impact Zones should avoided
Permits Granted
Permits Pending
All possible Permits
Coming up soon in InVEST
Sediment delivery ratio
Gully and bank erosion (tier 0)
West Coast
East Coast
Dam retention
Multiflow algorithm
Belize
Mexico
Will run faster
Ecuador
Colombia
Amazon
Improved Length SlopeBasin
equation
Tanzania
Indonesia
Hands-on Session
Run the soil loss model
Hands-on Session
Run the valuation model
Hands-on Session
Think about how
you would use the
Sediment Retention
Model in your
work?
How Does it Work?
USLE R.K .LS .C.P
Natural Characteristics:
R – Rainfall Erossivity
K – Soil Erodibility
LS – slope-length factor
Land Use Land Cover Management Practices:
C – conservation factor
P – Practice factor
Biophysical Inputs
Land Use/Land Cover
Streams
Vegetation retention, land
practice and management
Used to determine where
sediment flows to
Slope
Digital elevation model,
slope threshold
Watershed Areas
Main and sub for point of
interest and water quality
analysis
Erosivity
Reservoir Features
Based on intensity and
kinetic energy of rainfall
Dead volume, lifetime of
reservoir, allowed load
Erodibility
Soil detachment and
transport potential due to
rainfall
Biophysical Outputs
Potential Soil loss
Calculated from USLE
per sub-watershed
Sediment Exported
Calculated per subwatershed
Sediment Retained
Calculated per subwatershed
Used in valuation
Valuations
Valuation Inputs
Watershed Areas
Main and sub for point of
interest and water quality
analysis
Sediment Exported
From biophysical analysis
Sediment Retained
From biophysical analysis
Sediment Valuation
Reservoir dredging costs
Valuation Outputs
Value of Sediment
Removal for
Dredging
Value of Sediment
Removal for Water
Quality
How Does it Work?...
USLE R.K .LS .C.P
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•
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Data inputs for Soil Erodibility
Percent Silt, %Slt
Percent Very Fine Sand, %VFS
Percent Clay, %Cly
Percent Organic Matter, %OM
Soil Structure Code, SC
Profile Permeability, PP
How Does it Work?...
USLE R.K .LS .C.P
For low slopes 𝐿𝑆 =
𝑓𝑙𝑜𝑤𝑎𝑐𝑐∗𝑐𝑒𝑙𝑙𝑠𝑖𝑧𝑒 𝑛𝑛
*
22.13
sin(𝑠𝑙𝑜𝑝𝑒∗0.01745) 1.4
0.09
∗ 1.6
For high slopes 𝐿𝑆 = 0.08 ∗ 𝜆0.35 ∗ 𝑠𝑙𝑜𝑝𝑒 0.6
• LS: Slope length factor
• Original LS was calculated from plots of 72.6 feet long and 9% slope
• The steeper and longer the field the higher is the risk of erosion.
How Does it Work?...
Hydraulic connectivity model
How Does it Work?...
1. 𝑆_𝑟𝑒𝑡𝑎𝑖𝑛𝑥 = 𝑅. 𝐾. 𝐿𝑆. 𝐶. 𝑃 − (𝑅. 𝐾. 𝐿𝑆)
2. Removal of sediments by vegetation along the flowpaths is
calculated as follows
How Does it Work?...
Sediment Yield is defined as the potential soil loss from terrestrial
sources that might get into a water body
Cumulative Sediment Yield
Value of removed sediment at pixel x:
𝑇−1
𝑃𝑉𝑆𝑅𝑥 =
𝑡=0
𝑇𝑜𝑡_𝑟𝑒𝑡𝑎𝑖𝑛𝑥 ∗ 𝑀𝐶
1+𝑟 𝑡