Global reanalysis dataset estimations of climate variables constitute an alternative for overcoming data scarcity associated with sparsely and unevenly distributed hydrometeorological networks often found in developing countries. However, datasets require detailed validation to determine their accuracy reliability. This paper evaluates the performance MERRA2 ERA5 regarding monthly rainfall prod...

Precise estimation of water temperature plays a key role in environmental impact assessment, aquatic ecosystems’ management and resources planning management. In the current study, convolutional neural networks (CNN) long short-term memory (LSTM) network-based deep learning models were examined to estimate daily temperatures Bailong River China. Two novel optimization algorithms, namely reptile...

Rainfall–runoff modeling is a complex hydrological issue that still has room for improvement. This study developed coupled bidirectional long short-term memory (LSTM) with sequence-to-sequence (Seq2Seq) learning (BiLSTM-Seq2seq) model to simulate multi-step-ahead runoff flood events. The LSTM Seq2Seq (LSTM-Seq2Seq) and multilayer perceptron (MLP) was set as benchmarks. results show that: (1) ro...

Floods are the one of most significant natural disasters, with a damaging effect on human life and properties. Recent global warming climate change exacerbate flooding by increasing frequency intensity severe floods. This study explores role groundwater during floods at Miho catchment in South Korea. The Hydrological-Ecological Integrated watershed-scale Flow model (HEIFLOW) is used for flood s...

Soil water content (SWC) plays a vital role in the process of evapotranspiration (ET) rubber plantations. To investigate influence ET on soil balance plantations, we measured SWC at depths 10, 20, 30, 40, 70, 100, 130 cm, characteristics root density distribution, and estimated deep percolation plantation Xishuangbanna using Hydrus-1D model. Our results indicate model can accurate simulate dyna...

The Brazilian Cerrado biome (BCB) is among 25 biodiversity hotspots identified worldwide, and covers the recharge area of important aquifers rivers in South America. increase deforestation has been threatening water availability this region. In order to assist water-resource management BCB, study models daily streamflow a basin Cerrado, using two approaches: process-based model (Soil Water Asse...

Soil and Water Assessment Tools (SWAT) which is developed in America was used to analyze the effect of land management on discharge, sedimentation, water quality a river basin area. The hydrological conditions Americas are different from Indonesia, so modified SWAT done. This research aimed implement program predict results better discharge analysis based sub-Watershed About 13.90% area paddy f...

Abstract Various hydrological models were used in different river basins to simulate the runoff on available rainfall, land use and soil property data. The HEC-HMS model is by several researchers estimate water potential of basin through rainfall-runoff modeling. In this study, a for Punpun has been developed using HEC-HMS. Daily rainfall data from years 2005 2017 development model. ArcGIS anal...

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 ...

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...