REGIONAL FLOOD FREQUENCY ANALYSIS USING LINEAR MOMENTS AND PARTIAL LINEAR MOMENTS: A CASE STUDY

LQ-Moments for Regional Flood Frequency Analysis: A Case Study for the North-Bank Region of the Brahmaputra River, India

Estimating Frequency Moments of Data Streams Using Random Linear Combinations

The problem of estimating the k frequency moment Fk for any nonnegative k, over a data stream by looking at the items exactly once as they arrive, was considered in a seminal paper by Alon, Matias and Szegedy [1, 2]. The space complexity of their algorithm is Õ(n1− 1 k ). For k > 2, their technique does not apply to data streams with arbitrary insertions and deletions. In this paper, we present...

Comparison of Artificial Neural Network, Decision Tree and Bayesian Network Models in Regional Flood Frequency Analysis using L-moments and Maximum Likelihood Methods in Karkheh and Karun Watersheds

Proper flood discharge forecasting is significant for the design of hydraulic structures, reducing the risk of failure, and minimizing downstream environmental damage. The objective of this study was to investigate the application of machine learning methods in Regional Flood Frequency Analysis (RFFA). To achieve this goal, 18 physiographic, climatic, lithological, and land use parameters were ...

Low flow frequency analysis by L-moments method (Case study: Iranian Central Plateau River Basin)

Knowledge about low flow statistics is essential for effective water resource planning and management in ungauged orpoorly gauged catchment areas, especially in arid and semi-arid regions such as Iran. We employed a data set of 20 riverflow time-series from the Iranian Central Plateau River Basin, Iran to evaluate the low-flow series using several frequencyanalysis methods and compared the resu...

regional analysis and the regional distribution of the wind erosion main factor by the linear moments approach

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