A5062848448- Hydrology and Watershed Management Studies
- Flood Risk Assessment and Management
- Soil and Water Nutrient Dynamics
- Hydrology and Sediment Transport Processes
- Cryospheric studies and observations
- Water resources management and optimization
- Irrigation Practices and Water Management
- Soil erosion and sediment transport
- Hydrological Forecasting Using AI
- Water Systems and Optimization
- Advanced Electrical Measurement Techniques
- Plant Water Relations and Carbon Dynamics
- Landslides and related hazards
- Hydrology and Drought Analysis
- Soil Moisture and Remote Sensing
- Reservoir Engineering and Simulation Methods
- Groundwater and Isotope Geochemistry
- Forecasting Techniques and Applications
- High voltage insulation and dielectric phenomena
- Environmental remediation with nanomaterials
- Environmental Science and Water Management
- Water Quality and Pollution Assessment
- Agricultural Economics and Policy
- Stock Market Forecasting Methods
- Fault Detection and Control Systems
The University of Melbourne
2023-2025
Swiss Federal Institute of Aquatic Science and Technology
2020-2025
University of Zurich
2014-2018
Goodness-of-fit measures are important for an objective evaluation of runoff model performance. The Kling-Gupta efficiency (RKG), which has been introduced as improvement the widely used Nash-Sutcliffe efficiency, considers different types errors, namely error in mean, variability, and dynamics. calculation RKG is implicitly based on assumptions data linearity, normality, absence outliers. In this study, we propose a modification measure comprising non-parametric components, i.e. Spearman...
Abstract Model parameter values for ungauged catchments can be regionalized from hydrologically similar gauged catchments. Achieving reliable and robust predictions in by regionalization, however, is still a major challenge. Here, we conduct comparative assessment of 19 regionalization approaches based on previously published literature to contribute new insights into their performance different geographic regions. The use geographical information, physical catchment attributes, hydrological...
Abstract. We present CAMELS-CH (Catchment Attributes and MEteorology for Large-sample Studies – Switzerland), a large-sample hydro-meteorological data set hydrologic Switzerland in central Europe. This domain covers 331 basins within neighboring countries. About one-third of the catchments are located Austria, France, Germany Italy. As an Alpine country, vast diversity landscapes, including mountainous environments, karstic regions, several strongly cultivated along with wide range...
Quantification of streamflow characteristics in ungauged catchments remains a challenge. Hydrological modeling is often used to derive flow time series and calculate for subsequent applications that may differ from those envisioned by the modelers. While estimation model parameters challenging research task itself, it important evaluate whether simulated preserve critical aspects hydrograph. To address this question, seven calibration objective functions were evaluated their ability...
The sustainability of agriculture in the Mediterranean climate is challenged by high irrigation water demands and nitrogen fertilizer losses to environment, causing significant pressure on groundwater resources groundwater-dependent ecosystems. Advanced technologies improved management have been promoted as key solutions reduce agricultural impact aquatic systems. However, it remains unclear how different irrigation-fertilizer practices perform long-term under a highly variable climate, such...
Abstract Hydrological models are traditionally calibrated against observed discharge. However, for a given model, similar performance discharge simulation can be achieved through variety of parameter combinations, some which produce unrealistic simulations non‐discharge variables. Thus, considering variables in calibration help to reduce equifinality and give more realistic simulations. Few studies considered evaluation across large sample catchments. In this study, we calibrate the lumped...
Abstract. Ecologically relevant streamflow characteristics (SFCs) of ungauged catchments are often estimated from simulated runoff hydrologic models that were originally calibrated on gauged catchments. However, SFC estimates the donor and subsequently can be substantially uncertain when using traditional approaches based optimization statistical performance metrics (e.g., Nash–Sutcliffe model efficiency). An improved calibration strategy for is therefore crucial to help reduce uncertainties...
Abstract Agricultural irrigation is the major water consumer in Mediterranean region. In response to growing pressure on freshwater resources, more efficient technologies have been widely promoted. this study, we assess impact of ongoing transition from flood drip future hydroclimatic regimes under various climate change scenarios, with a particular focus actual evapotranspiration and groundwater recharge region Valencia, Spain. Hydroclimatic predictions for near‐term (2020–2049) mid‐term...
Abstract Even in regions considered as densely monitored, most catchments are actually ungauged. Prediction of discharge ungauged commonly relies on parameter regionalization. While lack continuous time series, a limited number observations could still be collected within short field campaigns. Here we analyze the value such for improving regionalization otherwise catchments. More specifically, propose an ensemble modeling approach, where predictions from with multiple donor weighted based...
Hydrological models have traditionally been used for the prediction in ungauged basins despite related challenge of model parameterization. Short measurement campaigns could be a way to obtain some basic information that is needed support calibration these catchments. This study explores potential such field by i) testing relative value continuous water-level time series and point discharge observations calibration, ii) evaluating collected using expert knowledge active learning guide when...
Good representation of the hydrological system in models is required to provide reliable predictions. The selection a suitable set performance criteria core decision identifying optimal parameter set(s) during model calibration. As each criterion focuses on different parts hydrograph, their often determines which values are selected as for representing rainfall-runoff behaviour catchment. Knowning most purpose, or catchment difficult determine.We therefore 16 classical metrics and signature...
In the Mediterranean climate, agriculture often consists of intensively irrigated and fertilized row crop rotations, which can cause significant pressure on groundwater resources groundwater-dependent ecosystems. A paradigmatic example is Campo de Cartagena in south-eastern Spain, considered as vegetable fruit orchard Europe. To reduce eutrophication events nearby lagoon, regional authorities recently implemented a new regulation that allows two instead traditional three-crop rotations....
In the era of large-sample hydrology (LSH), there is still a lack in availability consistent data related to water quality. To address this gap, we introduce CAMELS-CH-Chem, dataset inspired by recently published CAMELS-Chem for contiguous United States. CAMELS-CH-Chem extends CAMELS-CH (Catchment Attributes and Meteorology Large-sample Studies Switzerland) integrating stream chemical parameters atmospheric deposition 115 monitoring stations across Switzerland. Spanning same period as...
Hydrological models are typically calibrated against discharge data. However, the resulting parameterization does not necessarily lead to a realistic representation of other simulated variables, such as actual evapotranspiration, soil water storage, or total storage. Since variety hydrological variables now freely available globally, multivariate model calibration has become popular method overcome aforementioned limitation discharge-based calibration. Given improved process after...
Abstract. A widespread assumption is that data-driven models only achieve good results with sufficiently large training data, while process-based are usually expected to be superior in data-poor situations. In our study, we investigate this by calibrating several and hydrological data sets of observed discharge differ the number points type selection. The tested include four commonly used (GR4J, HBV, mHM, SWAT+) (conditional probability distributions, regression trees, ANN, LSTM), which...
The grey water footprint (GWF) concept quantifies the volume of required to dilute pollutants from industrial processes, such as mining, safe levels in downstream systems. In this study, we apply GWF tailing ponds, where leach into surrounding environments. represents needed reduce concentration acceptable levels, considering both pollutant release rates and natural background concentrations. While is promising for managing environmental impact its application ponds challenged by data...
ABSTRACT While measured streamflow is commonly used for hydrological model evaluation and calibration, an increasing amount of data on additional variables available. These have the potential to improve process consistency in modeling consequently predictions under change, as well data‐scarce or ungauged regions. Here, we show how these beyond are currently calibration. We consider storage flux variables, namely snow, soil moisture, groundwater level, terrestrial water storage,...
In the era of large-sample hydrology (LSH) datasets, there is still limited availability water quality data. Here, we introduce CAMELS-CH-Chem, an extension CAMELS-CH (Catchment Attributes and Meteorology for Large-sample Studies in Switzerland), incorporating up to 40 parameters 115 catchments across Switzerland. This new dataset spans period 1981–2020 allows seamless integration with original hydro-meteorological landscape attribute The includes time series over 30 stream chemistry...
Abstract. Hydrological models are typically calibrated against discharge data. However, the resulting parameterization does not necessarily lead to a realistic representation of other variables, and multivariate model calibration may overcome this limitation. It seems reasonable expect that leads reduced hydrograph uncertainty, associated with more constrained flux maps (i.e., combinations streamflow generation mechanisms). expectation assumes an intersection exists within parameter space...
Abstract The replacement of flood‐irrigation systems by drip‐irrigation technology has been widely promoted with the aim a more sustainable use freshwater resources in irrigated agriculture. However, evidence for an irrigation efficiency paradox emphasizes need to improve our understanding impacts transformations on water resources. Here, we developed distributed hydrological modeling approach investigate spatiotemporal effect flood and drip groundwater recharge. recognizes differences...
Abstract. This study investigated runoff formation processes of a pre-alpine hillslope prone to slide. The experimental pasture plot (40 m × 60 m) is located in the northern front range Swiss Alps on 30° steep (1180 a.s.l., 1500 + mm annual precipitation). A gleysol (H-Go-Gr) overlies weathered marlstone and conglomerate subalpine molasse. We conducted sprinkling experiments subplot (10 10 with variable rainfall intensities. During both fluorescein line-tracer injections into topsoil, sodium...