Abstract This study presents a coupled invasive weed optimization-adaptive neuro fuzzy inference system method to simulate physical habitat in streams. We implement proposed Lar national park Iran as one of the habitats Brown trout southern Caspian Sea basin. Five indices consisting root mean square error (RMSE), absolute (MAE), reliability index, vulnerability index and Nash–Sutcliffe model ef...

WEAP or Water Evaluation and Planning is a model that used to simulate integrated water resources management. To get able represent the real condition, calibration process needed. This study aims determine optimum parameter value through sensitivity analysis obtain reliability during process. Based on for several parameters of model, it found some have similar characteristics. Change in Z1...

Precipitation in mountain regions is often highly variable and poorly observed, limiting abilities to manage water resource challenges. Here, we evaluate remote sensing and ground station-based gridded precipitation products over Nepal against weather station precipitation observations on a monthly timescale. We find that the Tropical Rainfall Measuring Mission (TRMM) 3B-43 precipitation produc...

The congruence between two configurations of points quantifies their similarity. The configurations to be compared are, in general, produced by factor analytic methods which decompose an “observations by variables” data matrix and produce one set of factor scores for the observations and one set of factor scores (i.e., the “loadings”) for the variables. The congruence between two sets of factor...

Predicting attainable yield under water limiting condition is an important goal in rainfed agriculture. Proper irrigation planning not only essential for saving but also enhancement and it possible when accurate reliable decision-making tool has been adopted. AquaCrop one of the models extensively used purposes. To evaluate performance model, present experiment entitled on “Assessment model irr...

suspended sediment estimation is an important factor from different aspects including, farming, soil conservation, dams, aquatic life, as well as various aspects of the research. there are different methods for suspended sediment estimation. this study aims to estimate suspended sediment using feed forward neural network with error back propagation with levenberg-marquardt back propagation algo...

in this study, application ofweap model (soil moisture method) have been investigated for simulating hydrological behavior in ahar-chai basin. according to the development of pressurized irrigation systems in this basin, since 2005, two models were carried out for two periods, pre-pressurized period (1998-2006) and pressurized period (2006-2013). irrigation method in first model was surface irr...

in this study, the process-based watershed model, soil and water assessment tool (swat), was used for simulating hydrology and sediment transport in the gharesou watershed and for identifying critical areas of soil erosion and water pollution. after model calibration and uncertainty analysis using sufi-2 (sequential uncertainty fitting, ver. 2) method, the outputs of the calibrated model were u...

1. Ben Achour C, Rolland C, Souveyet C, Maiden NAM (1999) Guiding use case authoring: results of an empirical study. In: Proceedings of the 4th IEEE international symposium on requirements engineering RE 1999, IEEE Computer Society, Washington, DC, USA, pp 36–43 2 Bubenko J, Rolland C, Loucopoulos P, DeAntonellis V (1994) Facilitating ‘fuzzy to formal’ requirements modelling. In: Proceedings of...

This paper presents a modeling approach based on Artificial Neural Networks (ANNs) in the Ouémé river catchment at Savè. To do this, we used precipitation data as input over period 1965 -2010 to simulate discharge study area by using two ANNs models such Long Short Term Memory (LSTM) and Recurrent Gate (GRU) models. Indeed, description of stochastic nature is better presented today than statist...