There is diversity in the use of global goodness-of-fit statistics to determine how well models forecast flood hydrographs. This paper compares the results from nine evaluation measures and two forecasting models. The evaluation measures comprise global goodness-of-fit measures as recommended by Legates and McCabe (1999) and Smith (2000) and more flood specific measures which gauge the ability ...

In this paper, a new approach is proposed in order to select an optimal membership function for inputs of wind speed prediction system. Then using a fuzzy method and the stochastic characteristics of wind speed in the previous year, the wind speed modeling is performed and the wind speed for the future year will be predicted. In this proposed method, the average and the standard deviation of in...

Concerns about smoke from large high-intensity and managed lowintensity fires have been increasing during the past decade. Because smoke from large high-intensity fires are known to contain and generate secondary fine particles (PM2.5) and ozone precursors, the effect of fires on air quality in the southern Sierra Nevada is a serious management issue. Various process-based models have been deve...

this paper presents the prediction of vehicle's velocity time series using neural networks. for this purpose, driving data is firstly collected in real world traffic conditions in the city of tehran using advance vehicle location devices installed on private cars. a multi-layer perceptron network is then designed for driving time series forecasting. in addition, the results of this study a...