add weather file (/training/namsvmod/rain_phen.txd)
DESCRIPTION
Add weather file (/Training/NamSVMod/rain_Phen.txd) Edit weather data interpolation change 0.002-> 0 Change initial state (/Training/NamSVMod/ns_training_init.vms). Change pet calculation method to pan evaporation Add timeseries point (Nam Oon Dam) - PowerPoint PPT PresentationTRANSCRIPT
• Add weather file (/Training/NamSVMod/rain_Phen.txd)
• Edit weather data interpolation change 0.002-> 0
• Change initial state (/Training/NamSVMod/ns_training_init.vms)
• Change pet calculation method to pan evaporation
• Add timeseries point (Nam Oon Dam)
• Add measurement file to the new timeseries point (/Training/NamSVMod/hq_NamOonDam.vms)
• Choose timeseries output variables
• Check computational parameters
• Run model
• Timeseries results, view qriver and precipitation results on Ban Tha Kok Daeng
• Flow comparison results, Ban Tha Kok Daeng• Tools in Results window• saving: as picture and as values• One timeseries: grouping statistics (average),
histogram • Two timeseries: R2 of common points, x-y plot• Selected timeseries: statistics, correlations• Editing pictures, change from line to dot, add header• bring together two timeseries• Results/Timeseries, results as table• Save project
Exercise 1
Compare the results from two different years at Ban Tha Kok Daeng (67,108) and Ts2 (138,80) + compare the measured and simulated flow at Ban Tha Kok Daeng– Use years 1992 and 1993– Compare the following parameters:
• qriver• prec
– Copy the result to word
Exercise 2
Simulate the difference in flow if the precipitation increases 10% and evaporation increases 5%– Use year 1992– Compare the following parameters:
• qriver• prec• etr
– Copy the result to word
Task 1 – sensitive analysis test• Objective: to understand the impact of different
parameters on the river flow• Task: do sensitive analysis for following parameters:
– Rainmult– Petcorr– Dz0– Mnover
use the ns_training.vmp as a basis. First calculate the model as it is for year 1992. Then increase the first parameter by 10% and compare to the base-result (average discharge at Ban Tha Kok Daeng). Then decrease the parameter by 10% based on the initial value and compare. Return the value for its original value. Repeat this to selected parameters
• Result: analysis of the sensitive of four parameters and their impact on the Q
Task 2 – deforestration
• Objective: to understand the impact of landuses on the model results
• Task: analyse how much the landuse change impacts on the model results. Use years 1990-1993. First run the model as it is and save the results at two stations: – Ban Tha Kok Daeng (67,108) – Ts2 (138,80)
then change all the landuse parameters from agriculture and irrigated agriculture to evergreen forest parameters (copy the parameters from the evergreen forest to agriculture and irrigated agriculture)
• Result: calculate the change in average flow at selected two stations and plot the graph where those two model run are compared
Task 3 – climate change
• Objective: to understand the impact of changes of precipitation and evaporation on the model results
• Task: analyse how much the climate change impact on the model results. Use years 1990-1993. First run the model as it is and save the results at two stations: – Ban Tha Kok Daeng (67,108) – Ts2 (138,80)
and save the results. Then increase the precipation 15 % and evaporation 7 % (change the rainmult and petcorr parameters in Landuse parameters... Menu). Compare the results
• Result: calculate the change in average flow at selected two stations and plot the graph where those two model run are compared
Returning the tasks
• Put all the results to one Word-document and send to Matti: [email protected] by mid-June
• Any questions, write to Matti• From www.eia.fi/wup-fin you can
download the manuals • Next training planned for June, then the
objective is 3D model including sediment and erosion modelling