Ju-Xiu Tong


Ontology type: schema:Person     


Person Info

NAME

Ju-Xiu

SURNAME

Tong

Publications in SciGraph latest 50 shown

  • 2020-09-17 Using an ensemble Kalman filter method to calibrate parameters of a prediction model for chemical transport from soil to surface runoff in ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
  • 2017-12-18 Characterizing groundwater flow in a translational rock landslide of southwestern China in BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT
  • 2017-10-18 Adsorption and desorption for dynamics transport of hexavalent chromium (Cr(VI)) in soil column in ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
  • 2017-05-11 Simulating water and nitrogen loss from an irrigated paddy field under continuously flooded condition with Hydrus-1D model in ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
  • 2017-03-20 Comparison between gradient based UCODE_2005 and the ensemble Kalman Filter for transient groundwater flow inverse modeling in SCIENCE CHINA EARTH SCIENCES
  • 2016-07-25 Experimental study on soluble chemical transfer to surface runoff from soil in ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
  • 2016-04-29 Simplified continuous simulation model for investigating effects of controlled drainage on long-term soil moisture dynamics with a shallow groundwater table in ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
  • 2016-03-17 Using a hybrid model to predict solute transfer from initially saturated soil into surface runoff with controlled drainage water in ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
  • 2015-12-21 Numerical study on tide-driven submarine groundwater discharge and seawater recirculation in heterogeneous aquifers in STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
  • 2015-10-03 Experimental and modeling study on Cr(VI) transfer from soil into surface runoff in STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
  • 2013-08-25 Application of a data assimilation method via an ensemble Kalman filter to reactive urea hydrolysis transport modeling in STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
  • 2011-11-05 Assimilating transient groundwater flow data via a localized ensemble Kalman filter to calibrate a heterogeneous conductivity field in STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
  • 2011-09-15 Using an Ensemble Kalman Filter Method to Calibrate Parameters and Update Soluble Chemical Transfer From Soil to Surface Runoff in TRANSPORT IN POROUS MEDIA
  • 2010-04-21 Using data assimilation method to calibrate a heterogeneous conductivity field conditioning on transient flow test data in STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
  • 2008-06-01 Analysis of soluble chemical transfer by runoff water in field* *Project supported by the National Nature Science Foundation of China (Grant No. 50639040), the National High Technology Research and Development Program of China (863 Program, Grant Nos. 2006AA100205, 2006AA100207) in JOURNAL OF HYDRODYNAMICS
  • JSON-LD is the canonical representation for SciGraph data.

    TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

    [
      {
        "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
        "affiliation": [
          {
            "affiliation": {
              "id": "http://www.grid.ac/institutes/grid.162107.3", 
              "type": "Organization"
            }, 
            "isCurrent": true, 
            "type": "OrganizationRole"
          }, 
          {
            "id": "http://www.grid.ac/institutes/grid.255986.5", 
            "type": "Organization"
          }, 
          {
            "id": "http://www.grid.ac/institutes/grid.419897.a", 
            "type": "Organization"
          }, 
          {
            "id": "http://www.grid.ac/institutes/grid.49470.3e", 
            "type": "Organization"
          }, 
          {
            "id": "http://www.grid.ac/institutes/grid.417824.c", 
            "type": "Organization"
          }
        ], 
        "familyName": "Tong", 
        "givenName": "Ju-Xiu", 
        "id": "sg:person.010314752347.24", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010314752347.24"
        ], 
        "sdDataset": "persons", 
        "sdDatePublished": "2021-11-01T19:29", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-springernature-scigraph/baseset/20211101/entities/gbq_results/person/person_365.jsonl", 
        "type": "Person"
      }
    ]
     

    Download the RDF metadata as:  json-ld nt turtle xml License info

    HOW TO GET THIS DATA PROGRAMMATICALLY:

    JSON-LD is a popular format for linked data which is fully compatible with JSON.

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/person.010314752347.24'

    N-Triples is a line-based linked data format ideal for batch operations.

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/person.010314752347.24'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/person.010314752347.24'

    RDF/XML is a standard XML format for linked data.

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/person.010314752347.24'


     




    Preview window. Press ESC to close (or click here)


    ...