Results 51 to 60 of about 966 (127)
Modelo hidrológico semidistribuido GR4J para implementar el pronóstico de inundaciones en las subcuencas del río Vilcanota, Cuzco [PDF]
Objetivo: El presente trabajo de suficiencia profesional tiene como objeto evaluar el desempeño del modelo hidrológico GR4J para implementar el pronóstico de inundaciones en las subcuencas del Río Vilcanota.
Sánchez Bernardo, Tannia Minnela
core
Key to model development is the selection of an appropriate representational system, including both the representation of what is observed (the data), and the formal mathematical structure used to construct the input‐state‐output mapping.
Luis A. De la Fuente +2 more
doaj +1 more source
Comparison of Conceptual Hydrological Models for Lijiang River Basin
【Background and objective】 Hydrological process is a complex phenomenon and affected by many biological and physical processes. Its modelling in water resource management and decision-making in watershed or catchment is often based on conceptual models ...
YANG Yang +3 more
doaj +1 more source
Robust Calibration of Hydrological Models for Simulating Unseen Flood Extremes
Abstract Calibrating conceptual rainfall‐runoff models to predict a catchment's response to extreme rainfall events is a significant challenge, especially when historical data is limited and the event exceeds recorded extremes. This challenge is amplified in non‐stationary environments where the frequency and intensity of extreme rainfall and floods ...
Caleb Dykman +3 more
wiley +1 more source
Abstract Understanding how drought affects phytoplankton dynamics is critical for developing early warning systems. Using standardized drought indices that capture both hydrometeorological extremes, we investigated how hydrological anomalies modulate intra‐annual chlorophyll‐a (Chla) concentrations, a proxy for phytoplankton biomass, in South Korea's ...
Pamela Sofia Fabian +2 more
wiley +1 more source
Multi‐Source Adaptive‐Fusion Transfer Learning for Streamflow Forecasting in Data‐Scarce Catchments
Abstract Streamflow gauging records remain sparse in many regions, limiting hydrological predictions. Transfer Learning (TL), which uses knowledge from data‐rich sources to improve predictions in data‐scarce targets, has emerged as a promising solution.
Yuxuan Gao +3 more
wiley +1 more source
Study region: Big East River and Black River watersheds in Northern Ontario, Canada as snow-dominated, data-poor case studies. Study focus: In this study, seven lumped conceptual models were thoroughly compared in order to determine the best performing ...
Pedram Darbandsari, Paulin Coulibaly
doaj +1 more source
How Will Higher Interannual Precipitation Variability Intensify Water Stress Under a Drying Climate?
Abstract Climate change is expected to alter both the mean and variability of precipitation. Hydrological consequences of higher precipitation variability remain less understood than that induced by changes in precipitation mean. This study evaluates the combined effects of changes in annual precipitation mean and variability on runoff and water supply
Hongxing Zheng +4 more
wiley +1 more source
The Irish Hydrometric Reference Network, Version 2.0
Reference hydrometric networks (RHNs) comprise high‐quality flow gauges with long reliable observational records from near‐natural catchments. Their primary role is for detecting changes in the water cycle, due to external drivers including climate change. Here we present an updated RHN for Ireland.
Paul O'Connor +2 more
wiley +1 more source
Phosphorus input into surface water is a global concern due to its role in eutrophication, which is especially critical in semi-arid regions with their challenging climatic conditions.
Francisco Josivan de Oliveira Lima +10 more
doaj +1 more source

