Streamflow, a pivotal variable in water resources management, holds profound significance shaping the decision-making processes of hydrologic projects. This paper tries to delve into exploration stage-discharge relationship using three machine learning methods (MLMs) namely multi-layer neural networks (MLNN), radial basis (RBNN), and neuro-fuzzy systems (ANFIS) predict simulate mean daily data derived from two monitoring stations, Bulakbasi Karaozü, Kizilirmak River, Turkey. Root square...

Abstract A study on flood water infiltration and ground recharge of a shallow alluvial aquifer was conducted in the hyperarid section Kuiseb River, Namibia. The site selected to represent typical desert ephemeral river. An instrumental setup allowed, for first time, continuous monitoring during event through channel bed entire vadose zone. system included flexible time domain reflectometry probes that were designed measure temporal variation zone content instruments concurrently levels...

Abstract. The mechanisms allowing the rapid release of stored water to streams are poorly understood. Here we use a tile-drained field site combine macroporous soils at hillslope scale with advantage least partly controlled lower boundary conditions. We performed series three irrigation experiments combining hydrometric measurements stable isotope and bromide tracers better understand macropore–matrix interactions processes scale. Stable concentrations were monitored in water, tile-drain...

Abstract. Predicting and understanding subsurface flowpaths is still a crucial issue in hydrological research. We present an experimental approach to reveal past of water the unsaturated saturated zone. Two hillslopes humid mountainous catchment have been investigated. The H2O(liquid) – H2O(vapor) equilibration laser spectroscopy method was used obtain high resolution δ2H vertical depth profiles pore at various points along two fall lines pasture hillslope southern Black Forest, Germany....

Abstract Accurate rainfall-runoff modeling is crucial for effective watershed management, hydraulic infrastructure safety, and flood mitigation. However, predicting remains challenging due to the nonlinear interplay between hydro-meteorological topographical variables. This study introduces a hybrid Gaussian process regression (GPR) model integrated with K-means clustering (GPR-K-means) short-term forecasting. The Orgeval in France serves as area, providing hourly precipitation streamflow...

Abstract. A study on water infiltration and solute transport in a clayey vadose zone underlying dairy farm waste source was conducted to assess the impact of desiccation cracks subsurface evaporation salinization. The is based five years continuous measurements temporal variation content chemical isotopic composition sediment pore it. stable isotopes (δ18O δ2H) samples, from area where crack networks prevail, indicated down ~ 3.5 m below land surface, vertical lateral preferential water,...

In this study, the viability of three metaheuristic regression techniques, CatBoost (CB), random forest (RF) and extreme gradient tree boosting (XGBoost, XGB), is investigated for prediction monthly streamflow considering satellite precipitation data. Monthly data from measuring stations in Turkey rainfall derived Tropical Rainfall Measuring Mission (TRMM) were used as inputs to models predict 1 month ahead streamflow. Such predictions are crucial decision-making water resource planning...

Abstract. Reliable information on water flow dynamics and losses via irrigation irrigated agricultural fields is important to improve management strategies. We investigated the effect of season (wet dry season), (flooded non-flooded), crop diversification rice, maize) soil evaporation during plant growth. Soil was extracted analysed for stable isotopes (δ2H δ18O). The fraction were determined using Craig–Gordon equation. For rice maize, in shallow layers (0 0.2 m) more isotopically enriched...

The Niger Delta, a region of immense ecological significance and rich biodiversity, has long faced the severe consequences petroleum contamination resulting from intense oil exploration various environmental stressors. In response to pressing need for effective remediation monitoring contaminated matrices in this study delves into comprehensive analysis. Through systematic assessment considering certain criteria, advanced technologies tailored specific challenges are identified....

Abstract This study investigates monthly streamflow modeling at Kale and Durucasu stations in the Black Sea Region of Turkey using remote sensing data. The analysis incorporates key meteorological variables, including air temperature, relative humidity, soil wetness, wind speed, precipitation. also accuracy multivariate adaptive regression (MARS) with Kmeans clustering (MARS-Kmeans) by comparing it single MARS, M5 model tree (M5Tree), random forest (RF), multilayer perceptron neural network...

Developing and continuously improving effective feasible methods to estimate groundwater recharge is essential ensure sustainable resource assessment. Mountain environments represent key areas for the regional water balance. In this study, isotope profile method was used investigate fluxes through vadose zone subsequent in a Mediterranean mountain environment. Six high-resolution soil profiles were taken at two different locations Troodos Massif (Cyprus) eastern Mediterranean, focusing on...

Abstract The Niger Delta in Nigeria is a complex and heavily contaminated area with over 150,000 interconnected sites. This intricate issue compounded by the region’s strong hydrological processes high-energy environment, necessitating science-based approach for effective contamination assessment management. study introduces concept of sub-catchment management, providing an overarching perspective rather than addressing each site individually. A description delineation process using digital...

Abstract Biochemical oxygen demand (BOD) is one of the most important parameters used for water quality assessment. Alternative methods are essential accurately prediction this parameter because traditional method in predicting BOD time-consuming and it inaccurate due to inconstancies microbial multiplicity. In study, applicability four hybrid neuro-fuzzy (ANFIS) methods, ANFIS with genetic algorithm (GA), particle swarm optimization (PSO), sine cosine (SCA), marine predators (MPA), was...

Abstract. The short-term dynamics of carbon and water fluxes across the soil–plant–atmosphere continuum are still not fully understood. One important constraint is lack methodologies that enable simultaneous measurements soil CO2 concentration respective isotopic composition at a high temporal resolution for longer periods time. δ13C can be used to derive information on origin physiological history carbon, δ18O in aids inferring interaction between water. We established real-time method...

Abstract. Reliable information on water flow dynamics and losses via irrigation irrigated agricultural fields is important to advance management strategies. We investigated the effect of season (wet season, dry season), (flooded, non-flooded), crop diversification rice, maize) soil evaporation during plant growth. Soil was extracted analyzed for stable isotopes (δ2H δ18O), fraction loss determined using Craig–Gorden equation. For all crops, shallow compartments (0 0.2 m) were more...

Abstract This study compares four data-driven methods, Gaussian process regression (GPR), multivariate adaptive spline (MARS), M5 model tree (M5Tree), and multilinear (MLR), in estimating mean velocity upstream downstream of bridges. Data were obtained through multiple experiments a rectangular laboratory flume with glass walls 9.5 m long, 0.6 wide, deep. Four different bridge models placed at the 6th meter channel to determine average velocities downstream. Different implemented...

Abstract. The mechanisms allowing the rapid release of stored water to streams are poorly understood. Here we use a tile drained field site combine naturally structured soils at hillslope scale with advantage least partly controlled lower boundary conditions. We performed series three irrigation experiments combining hydrometric measurements stable isotope and bromide tracers better understand macropore-matrix interactions processes scale. Stable concentrations were monitored in water, drain...