A review of hybrid deep learning applications for streamflow forecasting
Deep learning has emerged as a powerful tool for streamflow forecasting and its
applications have garnered significant interest in the hydrological community. Despite the …
applications have garnered significant interest in the hydrological community. Despite the …
A review of SWAT applications, performance and future needs for simulation of hydro-climatic extremes
Hydro-climatic extremes, such as droughts and floods, have most likely increased due to
climatic change and could lead to severe impacts on socio-economic, structural and …
climatic change and could lead to severe impacts on socio-economic, structural and …
Global predictions of primary soil salinization under changing climate in the 21st century
Soil salinization has become one of the major environmental and socioeconomic issues
globally and this is expected to be exacerbated further with projected climatic change …
globally and this is expected to be exacerbated further with projected climatic change …
Widespread deoxygenation in warming rivers
Deoxygenation is commonly observed in oceans and lakes but less expected in shallower,
flowing rivers. Here we reconstructed daily water temperature and dissolved oxygen in 580 …
flowing rivers. Here we reconstructed daily water temperature and dissolved oxygen in 580 …
[HTML][HTML] A sophisticated model for rating water quality
Here, we present the Irish Water Quality Index (IEWQI) model for assessing transitional and
coastal water quality in an effort to improve the method and develop a tool that can be used …
coastal water quality in an effort to improve the method and develop a tool that can be used …
From hydrometeorology to river water quality: can a deep learning model predict dissolved oxygen at the continental scale?
Dissolved oxygen (DO) reflects river metabolic pulses and is an essential water quality
measure. Our capabilities of forecasting DO however remain elusive. Water quality data …
measure. Our capabilities of forecasting DO however remain elusive. Water quality data …
Multiple stressors determine river ecological status at the European scale: Towards an integrated understanding of river status deterioration
JU Lemm, M Venohr, L Globevnik… - Global Change …, 2021 - Wiley Online Library
The biota of European rivers are affected by a wide range of stressors impairing water
quality and hydro‐morphology. Only about 40% of Europe's rivers reach 'good ecological …
quality and hydro‐morphology. Only about 40% of Europe's rivers reach 'good ecological …
The abuse of popular performance metrics in hydrologic modeling
The goal of this commentary is to critically evaluate the use of popular performance metrics
in hydrologic modeling. We focus on the Nash‐Sutcliffe Efficiency (NSE) and the Kling …
in hydrologic modeling. We focus on the Nash‐Sutcliffe Efficiency (NSE) and the Kling …
Time to update the split‐sample approach in hydrological model calibration
Abstract Model calibration and validation are critical in hydrological model robustness
assessment. Unfortunately, the commonly used split‐sample test (SST) framework for data …
assessment. Unfortunately, the commonly used split‐sample test (SST) framework for data …
Bioretention systems for stormwater management: Recent advances and future prospects
Bioretention is a popular stormwater management strategy that is often utilized in urban
environments to combat water quality and hydrological impacts of stormwater. This goal is …
environments to combat water quality and hydrological impacts of stormwater. This goal is …