Works cited by this work

87 works

Work: Comment on hess-2021-98

Enrichment of stream water with fecal indicator organisms during baseflow periods
Yakov Pachepsky, Matthew Stocker, Manuel Olmeda Saldaña +1
Article20173 citations
ABI
Dual-Tree wavelet scattering network with parametric log transformation for object classification
Amarjot Singh, Nick Kingsbury
Article20173 citations
ABI
Estimates of global, regional, and national morbidity, mortality, and aetiologies of diarrhoeal diseases: a systematic analysis for the Global Burden of Disease Study 2015
Christopher Troeger, Mohammad H. Forouzanfar, Puja C Rao +65
Article20173 citations
ABI
Surface Water Mapping by Deep Learning
Furkan Isikdogan, Alan C. Bovik, Paola Passalacqua
Article20173 citations
ABI
Variability of <i>Escherichia coli</i> Concentrations in Rivers during Base‐Flow Conditions in New Zealand
Richard Muirhead, Esther D. Meenken
Article20183 citations
ABI
OZCAR: The French Network of Critical Zone Observatories
Jérôme Gaillardet, Isabelle Braud, Fatim Hankard +97
Article20183 citations
ABI
Risk-based decision making to evaluate pollutant reduction scenarios
Ebrahim Ahmadisharaf, Brian Leslie Benham
Article20193 citations
ABI
Automatic calibration and improvements on an instream chlorophyll a simulation in the HSPF model
Dong Hoon Lee, Jin Hwi Kim, Mi‐Hyun Park +2
Article20193 citations
ABI
A modified hydrological model for assessing effect of pH on fate and transport of Escherichia coli in the Athabasca River basin
Tesfa Worku Meshesha, Junye Wang, Nigus Demelash Melaku
Article20203 citations
ABI
Predicting Escherichia coli loads in cascading dams with machine learning: An integration of hydrometeorology, animal density and grazing pattern
Olufemi Abimbola, Aaron R. Mittelstet, Tiffany Messer +3
Article20203 citations
ABI
Deep learning-based water quality estimation and anomaly detection using Landsat-8/Sentinel-2 virtual constellation and cloud computing
Kyle T. Peterson, Vasit Sagan, John J. Sloan
Article20203 citations
ABI
Evaluation of the soil and water assessment tool (SWAT) for simulating E. coli concentrations at the watershed-scale
Robert A. Sowah, Kenneth E. Bradshaw, Blake Snyder +2
Article20203 citations
ABI
Surface and sub-surface flow estimation at high temporal resolution using deep neural networks
Ather Abbas, Sang‐Soo Baek, Minjeong Kim +6
Article20203 citations
ABI
Understory Limits Surface Runoff and Soil Loss in Teak Tree Plantations of Northern Lao PDR
Layheang Song, Laurie Boithias, Oloth Sengtaheuanghoung +10
Article20203 citations
ABI
Modeling and Prioritizing Interventions Using Pollution Hotspots for Reducing Nutrients, Atrazine and E. coli Concentrations in a Watershed
Olufemi Abimbola, Aaron R. Mittelstet, Tiffany Messer +2
Article20203 citations
ABI
Quantifying the effect of overland flow on Escherichia coli pulses during floods: Use of a tracer-based approach in an erosion-prone tropical catchment
Laurie Boithias, Olivier Ribolzi, Guillaume Lacombe +13
Article20203 citations
ABI
Untitled
Other3 citations
ABI
A Regional Semi-Distributed Streamflow Model Using Deep Learning
Zhongrun Xiang, İbrahim Demir, Ricardo Mantilla +1
Preprint20213 citations
ABI
The Multiscale <scp>TROPIcal CatchmentS</scp> critical zone observatory <scp>M‐TROPICS</scp> dataset <scp>II</scp>: Land use, hydrology and sediment production monitoring in Houay Pano, northern Lao <scp>PDR</scp>
Laurie Boithias, Yves Auda, Stéphane Audry +36
Article20213 citations
ABI
Evaluation and interpretation of convolutional-recurrent networksfor regional hydrological modelling
Sam Anderson, Valentina Radić
Article20213 citations
ABI
Escherichia coli concentrations and physico-chemical measurements (2011-2021) at the outlet of the Houay Pano catchment, northern Lao PDR
Olivier Ribolzi, Laurie Boithias, Chanthamousone Thammahacksa +6
Other20213 citations
ABI
Sub-catchments boundaries of the Houay Pano catchment, northern Lao PDR
Laurie Boithias, Olivier Ribolzi, Kongkeo Phachomphon +3
OtherHydrology and Watershed Management StudiesIRD20213 citations
ABI
Development of a process-based model to predict pathogen budgets for the Sydney drinking water catchment
Christobel Ferguson, Barry Croke, Peter J. Beatson +2
Article20073 citations
ABI
You Only Train Once: Loss-Conditional Training of Deep Networks
Alexey Dosovitskiy, Josip Djolonga
Article20203 citations
ABI
Directions for Explainable Knowledge-Enabled Systems
Chari Shruthi, Gruen Daniel M., Seneviratne Oshani +1
Chapter20202 citations
ABI