Several empirical methods for flood flow rate estimation have been presented. In this study,eight new empirical runoff estimation method including Dredge & Burge, Bourges, Inglis, Faning, Hyderabad, Burkli Ziegler, Cramar and Possenti were calculated in Bakhtegan watershed which is located in Fars province. After studying empirical methods for annual flood flow rate estimation and comparing the...

Several empirical methods for flood flow rate estimation have been presented. In this study,eight new empirical runoff estimation method including Dredge & Burge, Bourges, Inglis, Faning, Hyderabad, Burkli Ziegler, Cramar and Possenti were calculated in Bakhtegan watershed which is located in Fars province. After studying empirical methods for annual flood flow rate estimation and comparing the...

Several empirical methods for flood flow rate estimation have been presented. In this study,eight new empirical runoff estimation method including Dredge & Burge, Bourges, Inglis, Faning, Hyderabad, Burkli Ziegler, Cramar and Possenti were calculated in Bakhtegan watershed which is located in Fars province. After studying empirical methods for annual flood flow rate estimation and comparing the...

Several empirical methods for flood flow rate estimation have been presented. In this study,eight new empirical runoff estimation method including Dredge & Burge, Bourges, Inglis, Faning, Hyderabad, Burkli Ziegler, Cramar and Possenti were calculated in Bakhtegan watershed which is located in Fars province. After studying empirical methods for annual flood flow rate estimation and comparing the...

Extended Abstract. In recent years, needs for small area estimations have been greatly increased for large surveys particularly household surveys in Sta­ tistical Centre of Iran (SCI), because of the costs and respondent burden. The lack of suitable auxiliary variables between two decennial housing and popula­ tion census is a challenge for SCI in using these methods. In general, the...

In this paper, we present an algorithm for doing high frame rate egomotion estimation. We achieve this by using a basis flow model, along with a novel inference algorithm, that uses spatio-temporal gradients, foregoing the computation of the slow and noisy optical flow. The inherent linearity in our model allows us to achieve fine grained parallelism. We demonstrate this by running our algorith...

MOTIVATION Recent attempts to account for multiple testing in the analysis of microarray data have focused on controlling the false discovery rate (FDR). However, rigorous control of the FDR at a preselected level is often impractical. Consequently, it has been suggested to use the q-value as an estimate of the proportion of false discoveries among a set of significant findings. However, such a...