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3.1
Terms of reference:University of Washington
This
section describes specific sub-activities by University of Washington
(UW). The UW, as one of the partners working on Activity 2, is tasked
with 5 sub-activities:
Activity
2.1. Assemble the dataframe required for the application of the VIC
hydrology model to the Mekong river drainage basin (and Mae Chaem/Ping,
and conceivably to Chao Phrya).
Activity
2.2. Assemble the dataframe required for the model application in
Northern Thailand, focusing on VIC and exploring the advantages and
feasibility of DHSVM.
Activity
2.3. Provide model simulations on both dataframes (using the
respective model) over a standard climatology and either a
"standard" rainfall, or a "typical actual rainfall
record" (ie. last 10 years).
Activity
2.4. Produce modeled output with landcover alterations of forested
landscapes at various degrees and in different upland and floodplain
configurations so as to simulate a range of landuse change scenarios.
Activity
2.5. Report the results of all
model simulations in terms of:
·
total yield by time at locations upstream from major urban centers
and at the coastal zone,
·
seasonal variability of total flow related to seasonality of the
simulated rainfall data,
·
duration of storm events effects on stage height at location
upstream from major urban centers.
The
specific UW deliverables include:
·
For each of the reported results listed above select subbasins at a
variety of sizes and summarize the effect of basin scale on these modeled
results. The purpose of these
tasks is to identify a relationship between basin size and variation in
the structure of the modeled hydrograph.
·
Collaborative work on manuscripts
and policy briefs corresponding to Activity 2.2
These
tasks will include explicit consideration of the broader questions of the
BNPP program, including far-field effects relative to local consequences
(landuse change, precipitation patterns, hazards), and ultimately biodiversity
and watershed functions.
The
UW partners include: ICRAF/Bogor and Chiang Mai, and Chulalongkorn
University; in consultation with the World Bank and ICRAF/ASB.
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