TRHR

AcronymDefinition
TRHRThyrotropin-Releasing Hormone Receptor
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References in periodicals archive ?
Based on these methods, an ANN model is developed in this study to reproduce the dynamic processes of the runoff in the TRHR for the period corresponding to the observed time series of the external variables.
When the input variables are the mean monthly temperature (T) and monthly precipitation (P), the performances of the ANN models for forecasting the 1-, 3-, 6-, 12-, and 24-month-ahead runoff dynamics for the three rivers in the TRHR are shown in Tables 7, 8, and 9.
Future climate change with warming and slight wetting could greatly change the annual runoff of TRHR. In the climate change scenarios involving a precipitation increase, the mean monthly runoff would increase in the TRHR under a given temperature.
Taking the previous runoff as one of the three input variables, the ANN model achieved acceptable predictive accuracy in the TRHR, with R > 0.80, NS > 0.63, and RMSE < 267.50 for the 24-month-ahead prediction.
These results indicate that the previous runoff does not have significant effects on the predicted runoff in the TRHR and that the climate factors had more intense effects on the runoff in the TRHR.
In the TRHR, the annual glacier runoff is 15.52, 1.74, and 4.43 x [10.sup.8] [m.sup.3] in the YARHR, YERHR, and LARHR, respectively, and the contribution of glacier meltwater to watershed runoff is 8.8, 0.8, and 4.0%, respectively [56].
These results were consistent with the findings of runoff responses to climate change in the TRHR [47, 48, 50, 59].
For the TRHR, the predicted results of the ANN model show that the surface runoff has a tendency to decrease in the LARHR and the YERHR when air temperatures rise by 2.0[degrees]C, whereas the surface runoff has a tendency to increase slightly in the YARHR.
For prediction of the runoff in the TRHR, two ANN models were developed in this study.
In the long-term simulated predictions of runoff in the TRHR, precipitation is the main factor affecting the runoff, but the influence on hydrological regimes caused by continual temperature increase is also very important.