Estimation of bare soil evaporation for different depths of water table in the wind-blown sand area of the Ordos Basin, ... View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2018-08

AUTHORS

Li Chen, Wenke Wang, Zaiyong Zhang, Zhoufeng Wang, Qiangmin Wang, Ming Zhao, Chengcheng Gong

ABSTRACT

Soil surface evaporation is a significant component of the hydrological cycle, occurring at the interface between the atmosphere and vadose zone, but it is affected by factors such as groundwater level, soil properties, solar radiation and others. In order to understand the soil evaporation characteristics in arid regions, a field experiment was conducted in the Ordos Basin, central China, and high accuracy sensors of soil moisture, moisture potential and temperature were installed in three field soil profiles with water-table depths (WTDs) of about 0.4, 1.4 and 2.2 m. Soil-surface-evaporation values were estimated by observed data combined with Darcy’s law. Results showed that: (1) soil-surface-evaporation rate is linked to moisture content and it is also affected by air temperature. When there is sufficient moisture in the soil profile, soil evaporation increases with rising air temperature. For a WTD larger than the height of capillary rise, the soil evaporation is related to soil moisture content, and when air temperature is above 25 °C, the soil moisture content reduces quickly and the evaporation rate lowers; (2) phreatic water contributes to soil surface evaporation under conditions in which the WTD is within the capillary fringe. This indicates that phreatic water would not participate in soil evaporation for a WTD larger than the height of capillary rise. This finding developed further the understanding of phreatic evaporation, and this study provides valuable information on recognized soil evaporation processes in the arid environment. More... »

PAGES

1693-1704

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10040-018-1774-6

DOI

http://dx.doi.org/10.1007/s10040-018-1774-6

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1103674167


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

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", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0406", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Physical Geography and Environmental Geoscience", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/04", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Earth Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Chang'an University", 
          "id": "https://www.grid.ac/institutes/grid.440661.1", 
          "name": [
            "Key Laboratory of Subsurface Hydrology and Ecological Effects in Arid Region, Ministry of Education, Chang\u2019an University, Xi\u2019an, People\u2019s Republic of China", 
            "School of Environmental Science and Engineering, Chang\u2019an University, Yanta Road 126, 710054, Xi\u2019an, Shaanxi, People\u2019s Republic of China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Chen", 
        "givenName": "Li", 
        "id": "sg:person.010204655347.52", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010204655347.52"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Chang'an University", 
          "id": "https://www.grid.ac/institutes/grid.440661.1", 
          "name": [
            "Key Laboratory of Subsurface Hydrology and Ecological Effects in Arid Region, Ministry of Education, Chang\u2019an University, Xi\u2019an, People\u2019s Republic of China", 
            "School of Environmental Science and Engineering, Chang\u2019an University, Yanta Road 126, 710054, Xi\u2019an, Shaanxi, People\u2019s Republic of China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wang", 
        "givenName": "Wenke", 
        "id": "sg:person.01306450545.93", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01306450545.93"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Chang'an University", 
          "id": "https://www.grid.ac/institutes/grid.440661.1", 
          "name": [
            "Key Laboratory of Subsurface Hydrology and Ecological Effects in Arid Region, Ministry of Education, Chang\u2019an University, Xi\u2019an, People\u2019s Republic of China", 
            "School of Environmental Science and Engineering, Chang\u2019an University, Yanta Road 126, 710054, Xi\u2019an, Shaanxi, People\u2019s Republic of China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zhang", 
        "givenName": "Zaiyong", 
        "id": "sg:person.013716163447.24", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013716163447.24"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Chang'an University", 
          "id": "https://www.grid.ac/institutes/grid.440661.1", 
          "name": [
            "Key Laboratory of Subsurface Hydrology and Ecological Effects in Arid Region, Ministry of Education, Chang\u2019an University, Xi\u2019an, People\u2019s Republic of China", 
            "School of Environmental Science and Engineering, Chang\u2019an University, Yanta Road 126, 710054, Xi\u2019an, Shaanxi, People\u2019s Republic of China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wang", 
        "givenName": "Zhoufeng", 
        "id": "sg:person.01107034741.42", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01107034741.42"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Chang'an University", 
          "id": "https://www.grid.ac/institutes/grid.440661.1", 
          "name": [
            "Key Laboratory of Subsurface Hydrology and Ecological Effects in Arid Region, Ministry of Education, Chang\u2019an University, Xi\u2019an, People\u2019s Republic of China", 
            "School of Environmental Science and Engineering, Chang\u2019an University, Yanta Road 126, 710054, Xi\u2019an, Shaanxi, People\u2019s Republic of China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wang", 
        "givenName": "Qiangmin", 
        "id": "sg:person.013631326605.21", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013631326605.21"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Chang'an University", 
          "id": "https://www.grid.ac/institutes/grid.440661.1", 
          "name": [
            "Key Laboratory of Subsurface Hydrology and Ecological Effects in Arid Region, Ministry of Education, Chang\u2019an University, Xi\u2019an, People\u2019s Republic of China", 
            "School of Environmental Science and Engineering, Chang\u2019an University, Yanta Road 126, 710054, Xi\u2019an, Shaanxi, People\u2019s Republic of China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zhao", 
        "givenName": "Ming", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Chang'an University", 
          "id": "https://www.grid.ac/institutes/grid.440661.1", 
          "name": [
            "Key Laboratory of Subsurface Hydrology and Ecological Effects in Arid Region, Ministry of Education, Chang\u2019an University, Xi\u2019an, People\u2019s Republic of China", 
            "School of Environmental Science and Engineering, Chang\u2019an University, Yanta Road 126, 710054, Xi\u2019an, Shaanxi, People\u2019s Republic of China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Gong", 
        "givenName": "Chengcheng", 
        "id": "sg:person.015311124447.10", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015311124447.10"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/j.jhydrol.2009.08.012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004002297"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/hyp.8369", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006487349"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0168-1923(84)90072-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008631763"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0168-1923(84)90072-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008631763"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/444562a", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009587253", 
          "https://doi.org/10.1038/444562a"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/444562a", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009587253", 
          "https://doi.org/10.1038/444562a"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/444562a", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009587253", 
          "https://doi.org/10.1038/444562a"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2008jd011213", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009918622"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2008jd011213", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009918622"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2007wr006063", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010586659"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0168-1923(95)02292-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011066504"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/hyp.1462", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012334863"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00010694-197406000-00001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012497370"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00010694-197406000-00001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012497370"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.agrformet.2010.01.015", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012508243"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5194/hess-17-4503-2013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013663830"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/2014wr016111", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021730345"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.agrformet.2007.04.012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023187231"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.agrformet.2006.04.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023647432"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/97rg01172", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024296405"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/wr024i005p00755", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026210580"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2480/agrmet.1089", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026926495"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2480/agrmet.1089", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026926495"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.atmosres.2009.08.017", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027970285"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jhydrol.2014.04.025", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028883681"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.agrformet.2011.04.008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031737482"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.agwat.2016.07.027", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033053721"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00010694-195804000-00006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033147438"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00010694-195804000-00006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033147438"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jhydrol.2016.03.035", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035857411"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jhydrol.2016.03.035", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035857411"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jhydrol.2016.03.035", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035857411"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jhydrol.2016.03.035", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035857411"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1175/jhm-d-14-0175.1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038032215"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10040-016-1430-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039959085", 
          "https://doi.org/10.1007/s10040-016-1430-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10040-016-1430-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039959085", 
          "https://doi.org/10.1007/s10040-016-1430-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/hyp.1373", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040860110"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1161-0301(00)00070-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045184449"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1890/06-0922.1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046454427"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1098/rspa.1948.0037", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046736540"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10040-003-0288-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049614077", 
          "https://doi.org/10.1007/s10040-003-0288-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.agwat.2016.02.024", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049649989"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.agwat.2016.02.024", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049649989"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2011rg000373", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049750527"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/96jd03325", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051058346"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1061/(asce)0733-9437(1999)125:5(235)", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057594315"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1680/wama.10.00088", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068242183"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2136/sssaj1980.03615995004400050002x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069043312"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2136/vzj2012.0163", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069054575"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5897/sre11.509", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1073489427"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.advwatres.2017.03.011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084056195"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5194/hess-21-1809-2017", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084465851"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2018-08", 
    "datePublishedReg": "2018-08-01", 
    "description": "Soil surface evaporation is a significant component of the hydrological cycle, occurring at the interface between the atmosphere and vadose zone, but it is affected by factors such as groundwater level, soil properties, solar radiation and others. In order to understand the soil evaporation characteristics in arid regions, a field experiment was conducted in the Ordos Basin, central China, and high accuracy sensors of soil moisture, moisture potential and temperature were installed in three field soil profiles with water-table depths (WTDs) of about 0.4, 1.4 and 2.2 m. Soil-surface-evaporation values were estimated by observed data combined with Darcy\u2019s law. Results showed that: (1) soil-surface-evaporation rate is linked to moisture content and it is also affected by air temperature. When there is sufficient moisture in the soil profile, soil evaporation increases with rising air temperature. For a WTD larger than the height of capillary rise, the soil evaporation is related to soil moisture content, and when air temperature is above 25 \u00b0C, the soil moisture content reduces quickly and the evaporation rate lowers; (2) phreatic water contributes to soil surface evaporation under conditions in which the WTD is within the capillary fringe. This indicates that phreatic water would not participate in soil evaporation for a WTD larger than the height of capillary rise. This finding developed further the understanding of phreatic evaporation, and this study provides valuable information on recognized soil evaporation processes in the arid environment.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s10040-018-1774-6", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1047968", 
        "issn": [
          "1431-2174", 
          "1435-0157"
        ], 
        "name": "Hydrogeology Journal", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "5", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "26"
      }
    ], 
    "name": "Estimation of bare soil evaporation for different depths of water table in the wind-blown sand area of the Ordos Basin, China", 
    "pagination": "1693-1704", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "cfc909ddc85be98aef8ec2473e95802a79408fd80de89c436984b25d525b77ed"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s10040-018-1774-6"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1103674167"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s10040-018-1774-6", 
      "https://app.dimensions.ai/details/publication/pub.1103674167"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T10:34", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000349_0000000349/records_113661_00000004.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs10040-018-1774-6"
  }
]
 

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/pub.10.1007/s10040-018-1774-6'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s10040-018-1774-6'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10040-018-1774-6'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10040-018-1774-6'


 

This table displays all metadata directly associated to this object as RDF triples.

226 TRIPLES      21 PREDICATES      67 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s10040-018-1774-6 schema:about anzsrc-for:04
2 anzsrc-for:0406
3 schema:author N05250996c85d42f6bb30061e77b810c0
4 schema:citation sg:pub.10.1007/s10040-003-0288-y
5 sg:pub.10.1007/s10040-016-1430-y
6 sg:pub.10.1038/444562a
7 https://doi.org/10.1002/2014wr016111
8 https://doi.org/10.1002/hyp.1373
9 https://doi.org/10.1002/hyp.1462
10 https://doi.org/10.1002/hyp.8369
11 https://doi.org/10.1016/0168-1923(84)90072-8
12 https://doi.org/10.1016/0168-1923(95)02292-9
13 https://doi.org/10.1016/j.advwatres.2017.03.011
14 https://doi.org/10.1016/j.agrformet.2006.04.006
15 https://doi.org/10.1016/j.agrformet.2007.04.012
16 https://doi.org/10.1016/j.agrformet.2010.01.015
17 https://doi.org/10.1016/j.agrformet.2011.04.008
18 https://doi.org/10.1016/j.agwat.2016.02.024
19 https://doi.org/10.1016/j.agwat.2016.07.027
20 https://doi.org/10.1016/j.atmosres.2009.08.017
21 https://doi.org/10.1016/j.jhydrol.2009.08.012
22 https://doi.org/10.1016/j.jhydrol.2014.04.025
23 https://doi.org/10.1016/j.jhydrol.2016.03.035
24 https://doi.org/10.1016/s1161-0301(00)00070-8
25 https://doi.org/10.1029/2007wr006063
26 https://doi.org/10.1029/2008jd011213
27 https://doi.org/10.1029/2011rg000373
28 https://doi.org/10.1029/96jd03325
29 https://doi.org/10.1029/97rg01172
30 https://doi.org/10.1029/wr024i005p00755
31 https://doi.org/10.1061/(asce)0733-9437(1999)125:5(235)
32 https://doi.org/10.1097/00010694-195804000-00006
33 https://doi.org/10.1097/00010694-197406000-00001
34 https://doi.org/10.1098/rspa.1948.0037
35 https://doi.org/10.1175/jhm-d-14-0175.1
36 https://doi.org/10.1680/wama.10.00088
37 https://doi.org/10.1890/06-0922.1
38 https://doi.org/10.2136/sssaj1980.03615995004400050002x
39 https://doi.org/10.2136/vzj2012.0163
40 https://doi.org/10.2480/agrmet.1089
41 https://doi.org/10.5194/hess-17-4503-2013
42 https://doi.org/10.5194/hess-21-1809-2017
43 https://doi.org/10.5897/sre11.509
44 schema:datePublished 2018-08
45 schema:datePublishedReg 2018-08-01
46 schema:description Soil surface evaporation is a significant component of the hydrological cycle, occurring at the interface between the atmosphere and vadose zone, but it is affected by factors such as groundwater level, soil properties, solar radiation and others. In order to understand the soil evaporation characteristics in arid regions, a field experiment was conducted in the Ordos Basin, central China, and high accuracy sensors of soil moisture, moisture potential and temperature were installed in three field soil profiles with water-table depths (WTDs) of about 0.4, 1.4 and 2.2 m. Soil-surface-evaporation values were estimated by observed data combined with Darcy’s law. Results showed that: (1) soil-surface-evaporation rate is linked to moisture content and it is also affected by air temperature. When there is sufficient moisture in the soil profile, soil evaporation increases with rising air temperature. For a WTD larger than the height of capillary rise, the soil evaporation is related to soil moisture content, and when air temperature is above 25 °C, the soil moisture content reduces quickly and the evaporation rate lowers; (2) phreatic water contributes to soil surface evaporation under conditions in which the WTD is within the capillary fringe. This indicates that phreatic water would not participate in soil evaporation for a WTD larger than the height of capillary rise. This finding developed further the understanding of phreatic evaporation, and this study provides valuable information on recognized soil evaporation processes in the arid environment.
47 schema:genre research_article
48 schema:inLanguage en
49 schema:isAccessibleForFree false
50 schema:isPartOf N805f886a7cdb44ec9deaf37b73c57164
51 Nf3b10497212c4ca3bac62e39cb917de7
52 sg:journal.1047968
53 schema:name Estimation of bare soil evaporation for different depths of water table in the wind-blown sand area of the Ordos Basin, China
54 schema:pagination 1693-1704
55 schema:productId N126851a8b2f5453fb8be6ac824de8a6a
56 Ne1993f63b6fd4c718e8c883a00060d9e
57 Nff06c66d4136443bbdc5921dae571848
58 schema:sameAs https://app.dimensions.ai/details/publication/pub.1103674167
59 https://doi.org/10.1007/s10040-018-1774-6
60 schema:sdDatePublished 2019-04-11T10:34
61 schema:sdLicense https://scigraph.springernature.com/explorer/license/
62 schema:sdPublisher N8160bc70c2d643878c4eb6e96b100a23
63 schema:url https://link.springer.com/10.1007%2Fs10040-018-1774-6
64 sgo:license sg:explorer/license/
65 sgo:sdDataset articles
66 rdf:type schema:ScholarlyArticle
67 N05250996c85d42f6bb30061e77b810c0 rdf:first sg:person.010204655347.52
68 rdf:rest N41c6c86f63b14a65ac1b564b2342b7d4
69 N126851a8b2f5453fb8be6ac824de8a6a schema:name readcube_id
70 schema:value cfc909ddc85be98aef8ec2473e95802a79408fd80de89c436984b25d525b77ed
71 rdf:type schema:PropertyValue
72 N13b4e45e7da1447fa225cc36db21cf63 rdf:first sg:person.01107034741.42
73 rdf:rest Nc852e731f46e40d9b34bc7162b391152
74 N41c6c86f63b14a65ac1b564b2342b7d4 rdf:first sg:person.01306450545.93
75 rdf:rest N7cfe223e167f4a769b31e249530b8c47
76 N6816f9fd457846319ac54d5fdb997690 rdf:first sg:person.015311124447.10
77 rdf:rest rdf:nil
78 N7cfe223e167f4a769b31e249530b8c47 rdf:first sg:person.013716163447.24
79 rdf:rest N13b4e45e7da1447fa225cc36db21cf63
80 N805f886a7cdb44ec9deaf37b73c57164 schema:issueNumber 5
81 rdf:type schema:PublicationIssue
82 N8160bc70c2d643878c4eb6e96b100a23 schema:name Springer Nature - SN SciGraph project
83 rdf:type schema:Organization
84 Nb4572d0853784e33bde1c8b115f99e19 schema:affiliation https://www.grid.ac/institutes/grid.440661.1
85 schema:familyName Zhao
86 schema:givenName Ming
87 rdf:type schema:Person
88 Nc852e731f46e40d9b34bc7162b391152 rdf:first sg:person.013631326605.21
89 rdf:rest Ne36ab75c2f324b90b4edb52b881adb5e
90 Ne1993f63b6fd4c718e8c883a00060d9e schema:name doi
91 schema:value 10.1007/s10040-018-1774-6
92 rdf:type schema:PropertyValue
93 Ne36ab75c2f324b90b4edb52b881adb5e rdf:first Nb4572d0853784e33bde1c8b115f99e19
94 rdf:rest N6816f9fd457846319ac54d5fdb997690
95 Nf3b10497212c4ca3bac62e39cb917de7 schema:volumeNumber 26
96 rdf:type schema:PublicationVolume
97 Nff06c66d4136443bbdc5921dae571848 schema:name dimensions_id
98 schema:value pub.1103674167
99 rdf:type schema:PropertyValue
100 anzsrc-for:04 schema:inDefinedTermSet anzsrc-for:
101 schema:name Earth Sciences
102 rdf:type schema:DefinedTerm
103 anzsrc-for:0406 schema:inDefinedTermSet anzsrc-for:
104 schema:name Physical Geography and Environmental Geoscience
105 rdf:type schema:DefinedTerm
106 sg:journal.1047968 schema:issn 1431-2174
107 1435-0157
108 schema:name Hydrogeology Journal
109 rdf:type schema:Periodical
110 sg:person.010204655347.52 schema:affiliation https://www.grid.ac/institutes/grid.440661.1
111 schema:familyName Chen
112 schema:givenName Li
113 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010204655347.52
114 rdf:type schema:Person
115 sg:person.01107034741.42 schema:affiliation https://www.grid.ac/institutes/grid.440661.1
116 schema:familyName Wang
117 schema:givenName Zhoufeng
118 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01107034741.42
119 rdf:type schema:Person
120 sg:person.01306450545.93 schema:affiliation https://www.grid.ac/institutes/grid.440661.1
121 schema:familyName Wang
122 schema:givenName Wenke
123 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01306450545.93
124 rdf:type schema:Person
125 sg:person.013631326605.21 schema:affiliation https://www.grid.ac/institutes/grid.440661.1
126 schema:familyName Wang
127 schema:givenName Qiangmin
128 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013631326605.21
129 rdf:type schema:Person
130 sg:person.013716163447.24 schema:affiliation https://www.grid.ac/institutes/grid.440661.1
131 schema:familyName Zhang
132 schema:givenName Zaiyong
133 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013716163447.24
134 rdf:type schema:Person
135 sg:person.015311124447.10 schema:affiliation https://www.grid.ac/institutes/grid.440661.1
136 schema:familyName Gong
137 schema:givenName Chengcheng
138 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015311124447.10
139 rdf:type schema:Person
140 sg:pub.10.1007/s10040-003-0288-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1049614077
141 https://doi.org/10.1007/s10040-003-0288-y
142 rdf:type schema:CreativeWork
143 sg:pub.10.1007/s10040-016-1430-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1039959085
144 https://doi.org/10.1007/s10040-016-1430-y
145 rdf:type schema:CreativeWork
146 sg:pub.10.1038/444562a schema:sameAs https://app.dimensions.ai/details/publication/pub.1009587253
147 https://doi.org/10.1038/444562a
148 rdf:type schema:CreativeWork
149 https://doi.org/10.1002/2014wr016111 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021730345
150 rdf:type schema:CreativeWork
151 https://doi.org/10.1002/hyp.1373 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040860110
152 rdf:type schema:CreativeWork
153 https://doi.org/10.1002/hyp.1462 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012334863
154 rdf:type schema:CreativeWork
155 https://doi.org/10.1002/hyp.8369 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006487349
156 rdf:type schema:CreativeWork
157 https://doi.org/10.1016/0168-1923(84)90072-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008631763
158 rdf:type schema:CreativeWork
159 https://doi.org/10.1016/0168-1923(95)02292-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011066504
160 rdf:type schema:CreativeWork
161 https://doi.org/10.1016/j.advwatres.2017.03.011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084056195
162 rdf:type schema:CreativeWork
163 https://doi.org/10.1016/j.agrformet.2006.04.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023647432
164 rdf:type schema:CreativeWork
165 https://doi.org/10.1016/j.agrformet.2007.04.012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023187231
166 rdf:type schema:CreativeWork
167 https://doi.org/10.1016/j.agrformet.2010.01.015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012508243
168 rdf:type schema:CreativeWork
169 https://doi.org/10.1016/j.agrformet.2011.04.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031737482
170 rdf:type schema:CreativeWork
171 https://doi.org/10.1016/j.agwat.2016.02.024 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049649989
172 rdf:type schema:CreativeWork
173 https://doi.org/10.1016/j.agwat.2016.07.027 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033053721
174 rdf:type schema:CreativeWork
175 https://doi.org/10.1016/j.atmosres.2009.08.017 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027970285
176 rdf:type schema:CreativeWork
177 https://doi.org/10.1016/j.jhydrol.2009.08.012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004002297
178 rdf:type schema:CreativeWork
179 https://doi.org/10.1016/j.jhydrol.2014.04.025 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028883681
180 rdf:type schema:CreativeWork
181 https://doi.org/10.1016/j.jhydrol.2016.03.035 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035857411
182 rdf:type schema:CreativeWork
183 https://doi.org/10.1016/s1161-0301(00)00070-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045184449
184 rdf:type schema:CreativeWork
185 https://doi.org/10.1029/2007wr006063 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010586659
186 rdf:type schema:CreativeWork
187 https://doi.org/10.1029/2008jd011213 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009918622
188 rdf:type schema:CreativeWork
189 https://doi.org/10.1029/2011rg000373 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049750527
190 rdf:type schema:CreativeWork
191 https://doi.org/10.1029/96jd03325 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051058346
192 rdf:type schema:CreativeWork
193 https://doi.org/10.1029/97rg01172 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024296405
194 rdf:type schema:CreativeWork
195 https://doi.org/10.1029/wr024i005p00755 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026210580
196 rdf:type schema:CreativeWork
197 https://doi.org/10.1061/(asce)0733-9437(1999)125:5(235) schema:sameAs https://app.dimensions.ai/details/publication/pub.1057594315
198 rdf:type schema:CreativeWork
199 https://doi.org/10.1097/00010694-195804000-00006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033147438
200 rdf:type schema:CreativeWork
201 https://doi.org/10.1097/00010694-197406000-00001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012497370
202 rdf:type schema:CreativeWork
203 https://doi.org/10.1098/rspa.1948.0037 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046736540
204 rdf:type schema:CreativeWork
205 https://doi.org/10.1175/jhm-d-14-0175.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038032215
206 rdf:type schema:CreativeWork
207 https://doi.org/10.1680/wama.10.00088 schema:sameAs https://app.dimensions.ai/details/publication/pub.1068242183
208 rdf:type schema:CreativeWork
209 https://doi.org/10.1890/06-0922.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046454427
210 rdf:type schema:CreativeWork
211 https://doi.org/10.2136/sssaj1980.03615995004400050002x schema:sameAs https://app.dimensions.ai/details/publication/pub.1069043312
212 rdf:type schema:CreativeWork
213 https://doi.org/10.2136/vzj2012.0163 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069054575
214 rdf:type schema:CreativeWork
215 https://doi.org/10.2480/agrmet.1089 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026926495
216 rdf:type schema:CreativeWork
217 https://doi.org/10.5194/hess-17-4503-2013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013663830
218 rdf:type schema:CreativeWork
219 https://doi.org/10.5194/hess-21-1809-2017 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084465851
220 rdf:type schema:CreativeWork
221 https://doi.org/10.5897/sre11.509 schema:sameAs https://app.dimensions.ai/details/publication/pub.1073489427
222 rdf:type schema:CreativeWork
223 https://www.grid.ac/institutes/grid.440661.1 schema:alternateName Chang'an University
224 schema:name Key Laboratory of Subsurface Hydrology and Ecological Effects in Arid Region, Ministry of Education, Chang’an University, Xi’an, People’s Republic of China
225 School of Environmental Science and Engineering, Chang’an University, Yanta Road 126, 710054, Xi’an, Shaanxi, People’s Republic of China
226 rdf:type schema:Organization
 




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


...