Accurate runoff prediction is one of the important tasks in various fields such as agriculture, hydrology, and environmental studies. Recently, with massive improvements computational system hardware, deep learning-based approach has recently been applied for more accurate prediction. In this study, long short-term memory model sequence-to-sequence structure was hourly predictions from 2015 to ...

Several mathematical models have been developed for applications in the hydraulics of irrigation systems and several performance indicators these are used suggested by literature. Thus, objective this work was to investigate statistical evaluation hydraulics. For this, three case studies which represent typical modeling were assess indicators. A set analyzed: a) difference-based: mean absolute ...

Sea level prediction is essential for the design of coastal structures and harbor operations. This study presents a methodology to predict sea changes using height meteorological factor observations at tide gauge in Antalya Harbor, Turkey. To this end, two different scenarios were established explore most feasible input combinations prediction. These use lagged (SC1), both (SC2) as predictive m...

The Amazon basin, the world’s largest river is a key global climate regulator. Due to lack of an extensive network gauging stations, this basin remains poorly monitored, hindering management its water resources. vast extension hydrological modeling only viable approach monitor current status. Here, we used Soil and Water Assessment Tool (SWAT), process-based time-continuous eco-hydrological mod...

Abstract Ensemble hydrologic forecasting which takes advantages of multiple models has made much contribution to water resource management. In this study, four hydrological (the Xin’anjiang model (XAJ), Simhyd, GR4J, and artificial neural network (ANN) models) three ensemble methods simple average, black box-based, binomial-based methods) were applied compared simulate the process during 1979–1...

We present a new ensemble of daily runoff simulations for meso-scale catchments in Switzerland the period 1981–2099: The Hydro-CH2018-Runoff ensemble. contains 93 covering wide range different catchment characteristics governed by pluvial, nival and glacial regimes. hydrological modelling system PREVAH was thoroughly calibrated validated each catchment. show satisfactory performance with median...

The increase in population and the human activities this basin area has led to many water shortage problems. This research was carried out investigate impacts of land-use changes urbanization on discharge Langat River Basin using ArcGIS. It applied Soil Water Assessment Tool (SWAT). aimed identify how critical increment could impact discharge. rainfall, humidity, solar, wind speed data from 201...

In order to calibrate and validate the PILOTE model for rice in a humid climate, this study was carried in a randomized complete block design with three replications on a popular local variety, Hashemi, during 2001, 2002, 2005, 2006 and 2007 crop seasons. This research was done at the Rice Research Institute of Rasht, Iran. Evaluation of simulated and measured grain yield and dry matter values ...