The present study aims at developing a forecasting model to predict the next year’s air pollution concentrations in the atmosphere of Iran. In this regard, it proposes the use of ARIMA, SVR, and TSVR, as well as hybrid ARIMA-SVR and ARIMA-TSVR models, which combined the autoregressive part of the autoregressive integrated moving average (ARIMA) model with the support vector regression technique...

accurate and effective electricity price forecasting is critical to market participants in order to make an appropriate risk management in competitive electricity markets. market participants rely on price forecasts to decide on their bidding strategies, allocate assets and plan facility investments. however, due to its time variant behavior and non-linear and non-stationary nature, electricity...

Floods are among the most frequent and costly natural disasters in terms of human hardship and economic loss. In recent years Europe suffered over 100 major damaging floods. Since 1998, floods have caused damages of some 700 facilities, the displacement of about half a million people and at least 25 billion Euro in insured economic losses. In the United States, about 90 percent of the damage ca...

Wujiang River, one of the main branches of the Beijiang River in South China, is frequently suffered from flood disasters. Flood clustering becomes one of the critical sub-issues for realizing the different types of flood features. This paper attempts to put forward a flood clustering approach for flood feature identification which is important to the flood risk management and flood forecasting...

one of the most appropriate approaches for flood forecasting is using peak discharge data of hydrometric stations in each region. however, lack of such stations or short duration of data in most parts of the country, make it necessary to use some alternative methods in order to estimate the flood discharge properly. one of these approaches is regional flood analysis method that in a region usin...

Sensitivity analysis is a fundamental approach to identify the most significant and sensitive parameters, helping us to understand complex hydrological models, particularly for time-consuming distributed flood forecasting models based on complicated theory with numerous parameters. Based on Sobol’ method, this study compared the sensitivity and interactions of distributed flood forecasting mode...