In this study, an inexact-variance hydrological modeling system (IVHMS) is developed for assessing parameter uncertainty on modeling outputs in the Kaidu River Basin, China.
Assessing wildfire risk entails the integration of fire modeling outputs, maps of highly valued resources and assets (HVRAs), characterization of fire effects, and articulation of relative importance across HVRAs.
Methods: We describe the assumptions and analytic decisions underlying models of mitigation co-benefits, examining their effects on modeling outputs, and consider tools for quantifying uncertainty.
Overall, signal switch-off is a combination of HGF half-life, pathway signaling decay, and GFP half-life; these factors will all have to be considered when modeling outputs in downstream network engineering studies.
However, because data are sparse for OCV and WASH intervention coverage-effectiveness curves, we used modeling outputs of Longini and others to fit our exponential curves for OCV, and we also applied exponential curves to the WASH coverage-effectiveness relationship.
The results of the "AschFlow" model are compared with their results in order to evaluate the two modeling approaches and to make an assessment of the obtained modeling outputs.
