Revisiting Continental U.S. Hydrologic Change in the Latter Half of the 20th Century View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2013-09

AUTHORS

Xianli Xu, Wen Liu, Rashad Rafique, Kelin Wang

ABSTRACT

An intensified hydrologic cycle and a large amount of monitoring flow data in the latter half of the 20th century attracted a lot of research on the continental U.S. hydrologic change. However, most previous studies are based on HCDN (Hydro-Climate Data Network) dataset with a period of ~1950s −1988. This study analyzed hydrologic change in continental U.S. based on MOPEX (international Model Parameter Estimation Experiment) hydrology dataset with a period of ~1950s −2000 for 302 watersheds (gages) across diverse climate, vegetation and soil conditions. This dataset is more representative of the latter half of the 20th century than HCDN. In contrast with previous studies, this study shows that only 20–30 % of watersheds present increasing trends in flow (streamflow, Q; baseflow, Qbf; baseflow index, BFI), and most (> 65 %) watersheds presents non-significant trends. Similar to previous studies, the watersheds with increasing trends in Q and Qbf are concentrated in Midwest and high plain (North-Central area) of USA. Climate contributes more to Q change (61 ± 25 % vs. 39 ± 25 %) but slightly less to Qbf change than human activity (49 ± 26 % vs. 51 ± 26 %) and much less to BFI change than human activity (−5 ± 61 % vs. 105 ± 61 %). A step change at ~1971 in Q and Qbf was found for 35–45 % but not for a large proportion of watersheds (50 % or more was reported by previous studies). This study provides new insights on the latter half of the 20th century’s hydrologic cycle for the continental U.S. with a more representative dataset of this period. More... »

PAGES

4337-4348

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11269-013-0411-3

DOI

http://dx.doi.org/10.1007/s11269-013-0411-3

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1046492964


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": "Chinese Academy of Sciences", 
          "id": "https://www.grid.ac/institutes/grid.9227.e", 
          "name": [
            "Key Laboratory for Agro-ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, 410125, Changsha, Hunan, China", 
            "Huanjiang Observation and Research Station for Karst Ecosystem, Chinese Academy of Sciences, 547100, Huanjiang, Guangxi, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Xu", 
        "givenName": "Xianli", 
        "id": "sg:person.014141624131.35", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014141624131.35"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Hunan Normal University", 
          "id": "https://www.grid.ac/institutes/grid.411427.5", 
          "name": [
            "College of Resources and Environmental Sciences, Hunan Normal University, 410081, Changsha, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Liu", 
        "givenName": "Wen", 
        "id": "sg:person.010012677515.80", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010012677515.80"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Oklahoma", 
          "id": "https://www.grid.ac/institutes/grid.266900.b", 
          "name": [
            "Department of Microbiology and Plant Biology, University of Oklahoma, 73019, Norman, OK, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Rafique", 
        "givenName": "Rashad", 
        "id": "sg:person.016625335060.02", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016625335060.02"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Chinese Academy of Sciences", 
          "id": "https://www.grid.ac/institutes/grid.9227.e", 
          "name": [
            "Key Laboratory for Agro-ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, 410125, Changsha, Hunan, China", 
            "Huanjiang Observation and Research Station for Karst Ecosystem, Chinese Academy of Sciences, 547100, Huanjiang, Guangxi, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wang", 
        "givenName": "Kelin", 
        "id": "sg:person.01045426126.13", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01045426126.13"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1002/hyp.7358", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000112225"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/hyp.7358", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000112225"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2010wr009869", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000148094"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2010wr010283", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001710510"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2010wr009568", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002684030"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00704-012-0747-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004748290", 
          "https://doi.org/10.1007/s00704-012-0747-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/1998gl900291", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010988181"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0022-1694(00)00336-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011674384"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jhydrol.2003.09.027", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026827385"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2007wr006665", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027263910"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2002gl015999", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027327528"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jhydrol.2013.05.041", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027874755"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0304-3800(94)00034-f", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029054818"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00704-009-0180-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029143909", 
          "https://doi.org/10.1007/s00704-009-0180-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00704-009-0180-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029143909", 
          "https://doi.org/10.1007/s00704-009-0180-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00704-009-0180-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029143909", 
          "https://doi.org/10.1007/s00704-009-0180-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2000wr900330", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029339275"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2010wr009656", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030505941"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1623/hysj.48.1.51.43478", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032897175"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2002gl015937", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034262488"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1175/2010ei316.1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035790459"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1175/1520-0442(1994)007<0586:hctitc>2.0.co;2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038828301"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11269-013-0317-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041038379", 
          "https://doi.org/10.1007/s11269-013-0317-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11269-012-0237-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042949138", 
          "https://doi.org/10.1007/s11269-012-0237-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5194/hess-17-315-2013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046505153"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2011wr011444", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046553047"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jhydrol.2005.07.031", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052498887"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3354/cr011149", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1071158928"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/2346729", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1101982435"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/2346729", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1101982435"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2013-09", 
    "datePublishedReg": "2013-09-01", 
    "description": "An intensified hydrologic cycle and a large amount of monitoring flow data in the latter half of the 20th century attracted a lot of research on the continental U.S. hydrologic change. However, most previous studies are based on HCDN (Hydro-Climate Data Network) dataset with a period of ~1950s \u22121988. This study analyzed hydrologic change in continental U.S. based on MOPEX (international Model Parameter Estimation Experiment) hydrology dataset with a period of ~1950s \u22122000 for 302 watersheds (gages) across diverse climate, vegetation and soil conditions. This dataset is more representative of the latter half of the 20th century than HCDN. In contrast with previous studies, this study shows that only 20\u201330 % of watersheds present increasing trends in flow (streamflow, Q; baseflow, Qbf; baseflow index, BFI), and most (> 65 %) watersheds presents non-significant trends. Similar to previous studies, the watersheds with increasing trends in Q and Qbf are concentrated in Midwest and high plain (North-Central area) of USA. Climate contributes more to Q change (61 \u00b1 25 % vs. 39 \u00b1 25 %) but slightly less to Qbf change than human activity (49 \u00b1 26 % vs. 51 \u00b1 26 %) and much less to BFI change than human activity (\u22125 \u00b1 61 % vs. 105 \u00b1 61 %). A step change at ~1971 in Q and Qbf was found for 35\u201345 % but not for a large proportion of watersheds (50 % or more was reported by previous studies). This study provides new insights on the latter half of the 20th century\u2019s hydrologic cycle for the continental U.S. with a more representative dataset of this period.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s11269-013-0411-3", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1136873", 
        "issn": [
          "0920-4741", 
          "1573-1650"
        ], 
        "name": "Water Resources Management", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "12", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "27"
      }
    ], 
    "name": "Revisiting Continental U.S. Hydrologic Change in the Latter Half of the 20th Century", 
    "pagination": "4337-4348", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "dd799444612bd93de0910fe91e248d22457087a66efe7d3c133abc9a74efd08d"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s11269-013-0411-3"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1046492964"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s11269-013-0411-3", 
      "https://app.dimensions.ai/details/publication/pub.1046492964"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T15:54", 
    "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/v90/0000000001_0000000264/records_8664_00000524.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007%2Fs11269-013-0411-3"
  }
]
 

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/s11269-013-0411-3'

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/s11269-013-0411-3'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11269-013-0411-3'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11269-013-0411-3'


 

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

171 TRIPLES      21 PREDICATES      53 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s11269-013-0411-3 schema:about anzsrc-for:04
2 anzsrc-for:0406
3 schema:author N99e76ebb4fb1473ba7413998e9c2361a
4 schema:citation sg:pub.10.1007/s00704-009-0180-3
5 sg:pub.10.1007/s00704-012-0747-2
6 sg:pub.10.1007/s11269-012-0237-4
7 sg:pub.10.1007/s11269-013-0317-0
8 https://doi.org/10.1002/hyp.7358
9 https://doi.org/10.1016/0304-3800(94)00034-f
10 https://doi.org/10.1016/j.jhydrol.2003.09.027
11 https://doi.org/10.1016/j.jhydrol.2005.07.031
12 https://doi.org/10.1016/j.jhydrol.2013.05.041
13 https://doi.org/10.1016/s0022-1694(00)00336-x
14 https://doi.org/10.1029/1998gl900291
15 https://doi.org/10.1029/2000wr900330
16 https://doi.org/10.1029/2002gl015937
17 https://doi.org/10.1029/2002gl015999
18 https://doi.org/10.1029/2007wr006665
19 https://doi.org/10.1029/2010wr009568
20 https://doi.org/10.1029/2010wr009656
21 https://doi.org/10.1029/2010wr009869
22 https://doi.org/10.1029/2010wr010283
23 https://doi.org/10.1029/2011wr011444
24 https://doi.org/10.1175/1520-0442(1994)007<0586:hctitc>2.0.co;2
25 https://doi.org/10.1175/2010ei316.1
26 https://doi.org/10.1623/hysj.48.1.51.43478
27 https://doi.org/10.2307/2346729
28 https://doi.org/10.3354/cr011149
29 https://doi.org/10.5194/hess-17-315-2013
30 schema:datePublished 2013-09
31 schema:datePublishedReg 2013-09-01
32 schema:description An intensified hydrologic cycle and a large amount of monitoring flow data in the latter half of the 20th century attracted a lot of research on the continental U.S. hydrologic change. However, most previous studies are based on HCDN (Hydro-Climate Data Network) dataset with a period of ~1950s −1988. This study analyzed hydrologic change in continental U.S. based on MOPEX (international Model Parameter Estimation Experiment) hydrology dataset with a period of ~1950s −2000 for 302 watersheds (gages) across diverse climate, vegetation and soil conditions. This dataset is more representative of the latter half of the 20th century than HCDN. In contrast with previous studies, this study shows that only 20–30 % of watersheds present increasing trends in flow (streamflow, Q; baseflow, Qbf; baseflow index, BFI), and most (> 65 %) watersheds presents non-significant trends. Similar to previous studies, the watersheds with increasing trends in Q and Qbf are concentrated in Midwest and high plain (North-Central area) of USA. Climate contributes more to Q change (61 ± 25 % vs. 39 ± 25 %) but slightly less to Qbf change than human activity (49 ± 26 % vs. 51 ± 26 %) and much less to BFI change than human activity (−5 ± 61 % vs. 105 ± 61 %). A step change at ~1971 in Q and Qbf was found for 35–45 % but not for a large proportion of watersheds (50 % or more was reported by previous studies). This study provides new insights on the latter half of the 20th century’s hydrologic cycle for the continental U.S. with a more representative dataset of this period.
33 schema:genre research_article
34 schema:inLanguage en
35 schema:isAccessibleForFree false
36 schema:isPartOf N8c3670fe33574099873f1f340e910a83
37 Nfa4f439dae4d47bbb83d11f0d469cf09
38 sg:journal.1136873
39 schema:name Revisiting Continental U.S. Hydrologic Change in the Latter Half of the 20th Century
40 schema:pagination 4337-4348
41 schema:productId N21b1ecd7af5c43968433ecb78c5bf3c3
42 N7896281330e64cf2a72618eb47ce2acb
43 Nd3903d71831f4ce4b9f2d76761ac7f3d
44 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046492964
45 https://doi.org/10.1007/s11269-013-0411-3
46 schema:sdDatePublished 2019-04-10T15:54
47 schema:sdLicense https://scigraph.springernature.com/explorer/license/
48 schema:sdPublisher Na14cae0e4d3c4610b3131aafd2f7d899
49 schema:url http://link.springer.com/10.1007%2Fs11269-013-0411-3
50 sgo:license sg:explorer/license/
51 sgo:sdDataset articles
52 rdf:type schema:ScholarlyArticle
53 N21b1ecd7af5c43968433ecb78c5bf3c3 schema:name doi
54 schema:value 10.1007/s11269-013-0411-3
55 rdf:type schema:PropertyValue
56 N7896281330e64cf2a72618eb47ce2acb schema:name readcube_id
57 schema:value dd799444612bd93de0910fe91e248d22457087a66efe7d3c133abc9a74efd08d
58 rdf:type schema:PropertyValue
59 N8c3670fe33574099873f1f340e910a83 schema:issueNumber 12
60 rdf:type schema:PublicationIssue
61 N99e76ebb4fb1473ba7413998e9c2361a rdf:first sg:person.014141624131.35
62 rdf:rest Nca30b95754ef4886aa9a21f99200784c
63 Na14cae0e4d3c4610b3131aafd2f7d899 schema:name Springer Nature - SN SciGraph project
64 rdf:type schema:Organization
65 Nb2f6fc7ae7f04bb3865e6ba0ae011300 rdf:first sg:person.01045426126.13
66 rdf:rest rdf:nil
67 Nca30b95754ef4886aa9a21f99200784c rdf:first sg:person.010012677515.80
68 rdf:rest Nebbf711e33d54d89bdac26f36d88912b
69 Nd3903d71831f4ce4b9f2d76761ac7f3d schema:name dimensions_id
70 schema:value pub.1046492964
71 rdf:type schema:PropertyValue
72 Nebbf711e33d54d89bdac26f36d88912b rdf:first sg:person.016625335060.02
73 rdf:rest Nb2f6fc7ae7f04bb3865e6ba0ae011300
74 Nfa4f439dae4d47bbb83d11f0d469cf09 schema:volumeNumber 27
75 rdf:type schema:PublicationVolume
76 anzsrc-for:04 schema:inDefinedTermSet anzsrc-for:
77 schema:name Earth Sciences
78 rdf:type schema:DefinedTerm
79 anzsrc-for:0406 schema:inDefinedTermSet anzsrc-for:
80 schema:name Physical Geography and Environmental Geoscience
81 rdf:type schema:DefinedTerm
82 sg:journal.1136873 schema:issn 0920-4741
83 1573-1650
84 schema:name Water Resources Management
85 rdf:type schema:Periodical
86 sg:person.010012677515.80 schema:affiliation https://www.grid.ac/institutes/grid.411427.5
87 schema:familyName Liu
88 schema:givenName Wen
89 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010012677515.80
90 rdf:type schema:Person
91 sg:person.01045426126.13 schema:affiliation https://www.grid.ac/institutes/grid.9227.e
92 schema:familyName Wang
93 schema:givenName Kelin
94 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01045426126.13
95 rdf:type schema:Person
96 sg:person.014141624131.35 schema:affiliation https://www.grid.ac/institutes/grid.9227.e
97 schema:familyName Xu
98 schema:givenName Xianli
99 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014141624131.35
100 rdf:type schema:Person
101 sg:person.016625335060.02 schema:affiliation https://www.grid.ac/institutes/grid.266900.b
102 schema:familyName Rafique
103 schema:givenName Rashad
104 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016625335060.02
105 rdf:type schema:Person
106 sg:pub.10.1007/s00704-009-0180-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029143909
107 https://doi.org/10.1007/s00704-009-0180-3
108 rdf:type schema:CreativeWork
109 sg:pub.10.1007/s00704-012-0747-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004748290
110 https://doi.org/10.1007/s00704-012-0747-2
111 rdf:type schema:CreativeWork
112 sg:pub.10.1007/s11269-012-0237-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042949138
113 https://doi.org/10.1007/s11269-012-0237-4
114 rdf:type schema:CreativeWork
115 sg:pub.10.1007/s11269-013-0317-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041038379
116 https://doi.org/10.1007/s11269-013-0317-0
117 rdf:type schema:CreativeWork
118 https://doi.org/10.1002/hyp.7358 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000112225
119 rdf:type schema:CreativeWork
120 https://doi.org/10.1016/0304-3800(94)00034-f schema:sameAs https://app.dimensions.ai/details/publication/pub.1029054818
121 rdf:type schema:CreativeWork
122 https://doi.org/10.1016/j.jhydrol.2003.09.027 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026827385
123 rdf:type schema:CreativeWork
124 https://doi.org/10.1016/j.jhydrol.2005.07.031 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052498887
125 rdf:type schema:CreativeWork
126 https://doi.org/10.1016/j.jhydrol.2013.05.041 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027874755
127 rdf:type schema:CreativeWork
128 https://doi.org/10.1016/s0022-1694(00)00336-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1011674384
129 rdf:type schema:CreativeWork
130 https://doi.org/10.1029/1998gl900291 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010988181
131 rdf:type schema:CreativeWork
132 https://doi.org/10.1029/2000wr900330 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029339275
133 rdf:type schema:CreativeWork
134 https://doi.org/10.1029/2002gl015937 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034262488
135 rdf:type schema:CreativeWork
136 https://doi.org/10.1029/2002gl015999 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027327528
137 rdf:type schema:CreativeWork
138 https://doi.org/10.1029/2007wr006665 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027263910
139 rdf:type schema:CreativeWork
140 https://doi.org/10.1029/2010wr009568 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002684030
141 rdf:type schema:CreativeWork
142 https://doi.org/10.1029/2010wr009656 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030505941
143 rdf:type schema:CreativeWork
144 https://doi.org/10.1029/2010wr009869 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000148094
145 rdf:type schema:CreativeWork
146 https://doi.org/10.1029/2010wr010283 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001710510
147 rdf:type schema:CreativeWork
148 https://doi.org/10.1029/2011wr011444 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046553047
149 rdf:type schema:CreativeWork
150 https://doi.org/10.1175/1520-0442(1994)007<0586:hctitc>2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038828301
151 rdf:type schema:CreativeWork
152 https://doi.org/10.1175/2010ei316.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035790459
153 rdf:type schema:CreativeWork
154 https://doi.org/10.1623/hysj.48.1.51.43478 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032897175
155 rdf:type schema:CreativeWork
156 https://doi.org/10.2307/2346729 schema:sameAs https://app.dimensions.ai/details/publication/pub.1101982435
157 rdf:type schema:CreativeWork
158 https://doi.org/10.3354/cr011149 schema:sameAs https://app.dimensions.ai/details/publication/pub.1071158928
159 rdf:type schema:CreativeWork
160 https://doi.org/10.5194/hess-17-315-2013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046505153
161 rdf:type schema:CreativeWork
162 https://www.grid.ac/institutes/grid.266900.b schema:alternateName University of Oklahoma
163 schema:name Department of Microbiology and Plant Biology, University of Oklahoma, 73019, Norman, OK, USA
164 rdf:type schema:Organization
165 https://www.grid.ac/institutes/grid.411427.5 schema:alternateName Hunan Normal University
166 schema:name College of Resources and Environmental Sciences, Hunan Normal University, 410081, Changsha, China
167 rdf:type schema:Organization
168 https://www.grid.ac/institutes/grid.9227.e schema:alternateName Chinese Academy of Sciences
169 schema:name Huanjiang Observation and Research Station for Karst Ecosystem, Chinese Academy of Sciences, 547100, Huanjiang, Guangxi, China
170 Key Laboratory for Agro-ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, 410125, Changsha, Hunan, China
171 rdf:type schema:Organization
 




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


...