Перейти к основному содержанию
AkademIndex

Продукты

Для разработчиков

AkademBaseОткрытый API экосистемы
← Назад к работе

Работы, на которые ссылается эта работа

Работ: 93

Работа: In-stream <i>Escherichia coli</i> modeling using high-temporal-resolution data with deep learning and process-based models

  1. Enrichment of stream water with fecal indicator organisms during baseflow periods

    Yakov Pachepsky, Matthew Stocker, Manuel Olmeda Saldaña +1

    Статья2017Цитирований: 3
    ABI

  2. Dual-Tree wavelet scattering network with parametric log transformation for object classification

    Amarjot Singh, Nick Kingsbury

    Статья2017Цитирований: 3
    ABI

  3. 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

    Статья2017Цитирований: 3
    ABI

  4. Surface Water Mapping by Deep Learning

    Furkan Isikdogan, Alan C. Bovik, Paola Passalacqua

    Статья2017Цитирований: 3
    ABI

  5. Variability of <i>Escherichia coli</i> Concentrations in Rivers during Base‐Flow Conditions in New Zealand

    Richard Muirhead, Esther D. Meenken

    Статья2018Цитирований: 3
    ABI

  6. OZCAR: The French Network of Critical Zone Observatories

    Jérôme Gaillardet, Isabelle Braud, Fatim Hankard +97

    Статья2018Цитирований: 3
    ABI

  7. Risk-based decision making to evaluate pollutant reduction scenarios

    Ebrahim Ahmadisharaf, Brian Leslie Benham

    Статья2019Цитирований: 3
    ABI

  8. Automatic calibration and improvements on an instream chlorophyll a simulation in the HSPF model

    Dong Hoon Lee, Jin Hwi Kim, Mi‐Hyun Park +2

    Статья2019Цитирований: 3
    ABI

  9. 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

    Статья2020Цитирований: 3
    ABI

  10. 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

    Статья2020Цитирований: 3
    ABI

  11. 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

    Статья2020Цитирований: 3
    ABI

  12. 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

    Статья2020Цитирований: 3
    ABI

  13. Surface and sub-surface flow estimation at high temporal resolution using deep neural networks

    Ather Abbas, Sang‐Soo Baek, Minjeong Kim +6

    Статья2020Цитирований: 3
    ABI

  14. Understory Limits Surface Runoff and Soil Loss in Teak Tree Plantations of Northern Lao PDR

    Layheang Song, Laurie Boithias, Oloth Sengtaheuanghoung +10

    Статья2020Цитирований: 3
    ABI

  15. 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

    Статья2020Цитирований: 3
    ABI

  16. 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

    Статья2020Цитирований: 3
    ABI

  17. Без названия

    ДругоеЦитирований: 3
    ABI

  18. A Regional Semi-Distributed Streamflow Model Using Deep Learning

    Zhongrun Xiang, İbrahim Demir, Ricardo Mantilla +1

    Препринт2021Цитирований: 3
    ABI

  19. 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

    Статья2021Цитирований: 3
    ABI

  20. Evaluation and interpretation of convolutional-recurrent networksfor regional hydrological modelling

    Sam Anderson, Valentina Radić

    Статья2021Цитирований: 3
    ABI

  21. 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

    Другое2021Цитирований: 3
    ABI

  22. Sub-catchments boundaries of the Houay Pano catchment, northern Lao PDR

    Laurie Boithias, Olivier Ribolzi, Kongkeo Phachomphon +3

    ДругоеHydrology and Watershed Management StudiesIRD2021Цитирований: 3
    ABI

  23. Development of a process-based model to predict pathogen budgets for the Sydney drinking water catchment

    Christobel Ferguson, Barry Croke, Peter J. Beatson +2

    Статья2007Цитирований: 3
    ABI

  24. <i>Escherichia Coli</i>and Fecal Coliforms in Freshwater and Estuarine Sediments

    Yakov Pachepsky, Daniel R. Shelton

    Статья2011Цитирований: 2
    ABI

  25. Prediction of Bacterial Contamination Outbursts in Water Wells through Sparse Coding

    Levi Frolich, Dalit Vaizel‐Ohayon, Barak Fishbain

    Статья2017Цитирований: 2
    ABI