Monthly instrumental streamflow records were used to assess the temporal relationship between climatic data and tree-ring records.
Monthly streamflow and precipitation records from 1960 to 2015 and monthly inflow and outflow records of a large reservoir (Xinfengjiang reservoir) during 1974 2009 in the basin of the Dongjiang River in south China were used to demonstrate the applicability of the analysis methodology.
In this way, six different monthly streamflow scenarios based on records of two successive gauging stations have been modelled by a common three layer artificial neural network (ANN) method as the primary reference models.
The data sample consisted of 31 years of streamflow records.
Moreover, the monthly water temperature is predicted with more accuracy than monthly streamflow.
Thomas-Fiering model (based on Markov autoregressive model) has been adopted for generation of synthetic scenario (monthly streamflow series) and subsequently downscaling of modeled monthly streamflow to daily values was carried out.
The results indicate that the estimated monthly streamflow data compares favorably well with the observed data and this generated monthly streamflow data has been used to generate corresponding daily flow data.
Figure 5 Observed and simulated monthly streamflow depth of the Wujiang River watershed at four sub-basin outlets during 1960 2000.
Regionalization using mean annual and mean monthly streamflow values was used to delineate hydrologic regimes with distinct temporal flow variations.
However, recession parameters can be estimated with short streamflow records.
