Many recent studies propose wavelet-based hydrological and water resources forecasting
models that have been incorrectly developed and that cannot properly be used for real …

The predictive ability of a hybrid model integrating the Firefly Algorithm (FFA), as a heuristic
optimization tool with the Multilayer Perceptron (MLP-FFA) algorithm for the prediction of …

Abstract Lake Van in eastern Turkey has been subject to water level rise during the last
decade and, consequently, the low-lying areas along the shore are inundated, giving …

Accurate predicting of lake level fluctuations is essential and basic in water resources
management for water supply purposes. The predicting of lake level is complicated because …

This study investigates the accuracy of three different techniques with the periodicity
component for estimating monthly lake levels. The three techniques are multivariate …

Geostatistical models based on Euclidean distance fail to represent the spatial configuration,
connectivity, and directionality of sites in a stream network and may not be ecologically …

The hydrological sciences typically present grey or fuzzy information, making them quite
messy and a choice challenge for fuzzy logic application. Providing readers with the first …

Hydrological drought (HD) characterization with different return periods is essential to
appropriately design the best water management practices. In particular, characterizing the …

Geostatistical models are typically based on symmetric straight-line distance, which fails to
represent the spatial configuration, connectivity, directionality, and relative position of sites in …

Lake Van is one of the largest terminal lakes in the world. In recent years, significant lake
level fluctuations have occurred and can be related to global climatic change. This …