|
| Implementation
Plan for Activity 2 |
| 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). |
| 2.2. Assemble the dataframe required for the model application in Northern Thailand, focusing on VIC and exploring the advantages and feasibility of
DHSVM. |
|
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).
|
|
2.
4. Produce modeled output with landcover alterations of forested landscapes at various degrees and in different upland and floodplain configuration so as to simulate a range of landuse change scenarios.
|
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.
|
|
|
Sub-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.
|
|
Lead |
UW |
| Collaborator |
ICRAF/Bogor and Chiang Mai, and Chulalongkorn
University; in consultation with World Bank.
|
| Description |
The initial decision for the Mae Chaem was whether to utilize VIC or DHSVM. DHSVM requires quite a complex dataframe to operate. The data available for the Mae Chaem are only marginally sufficient to attempt
DHSVM. But we felt that the enhanced functionality of this construct relative to the issues warranted the (considerable) effort of launching
DHSVM. |
| Status |
The
DHSVM/Mae Chaem dataframe is essentially complete (Table
4).
|
| Scope
|
The
scope is Mae Chaem basin. |
| Scale
(Resolution) |
? |
|
Methods
|
While much of the data for the Mekong can be assembled from multiple “international” sources, the higher resolution data for the Mae Chaem can be derived only locally. Other issues involve data sets in Thai, and in multiple projections, formats, and other intended uses. The cooperation of David Thomas and the local ICRAF team was essential.
|
|
Inputs |
|
Output |
The
product of this work will be the dataframe sufficient to drive DHSVM.
|
|
Linkages
to policy-briefs and other deliverables |
| Milestones |
| Date
Expected |
?
|
|
Notes,
Questions,
Comments |
? |
| References |
See
Activity 2 references.
|
|
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