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In this section we first focus on monthly time series.
Similar analyses were conducted for the monthly time scale.
The analysis of monthly time series reveals strong decreasing trends mainly occurring in February and March.
The water resources are quantified at subbasin level with monthly time intervals.
However, at the monthly time scale, the TMPA rainfall performs quite well.
In the monthly time scale, April is the windiest month in Kurdistan province.
The analysis of the monthly time series data for the ground observatories supported these results.
Figure 7 shows the monthly time series for the inflow and demand in the system.
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System dynamics simulation modeling combined with statistical analyses were utilized based on monthly time-series datasets.
Monthly, time-integrated suspended sediment samples were collected across seven catchments for a 12-month period.
The PM10 samples were collected in a monthly time-series sequence at a known receptor site.
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