Determining recharge distribution in fractured carbonate aquifers in central Italy using environmental isotopes: snowpack cover as an indicator for future ... View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2022-07-04

AUTHORS

Marco Petitta, Francesca Banzato, Valeria Lorenzi, Edoardo Matani, Chiara Sbarbati

ABSTRACT

Environmental isotopes were used to determine the source and to understand the physical–chemical processes involved in groundwater movement along a flowpath. This study applies groundwater stable isotopes to assess snow-cover influence on the recharge processes of some regional carbonate aquifers of central Italy. Starting with extensively investigated aquifers, 17 springs were selected and sampled (June–October 2016) for isotope analyses. The δ18O–δD results follow the local meteoric water line; the low mismatch between the 2016 sampling surveys suggests that those springs are not influenced by seasonal variability. Nevertheless, the average elevations of recharge areas calculated using the vertical isotope gradient were higher compared to those obtained with hypsographic profiles. This means that the relevant contribution to recharge comes from higher elevation areas; hence, snowpack coverage and snowpack persistence over time on recharge areas were analysed using satellite images. Four different relationships between the snowpack characteristics and the elevation of recharge areas have been identified. These offer relevant information about the different degrees of dependence of the regional aquifers of central Italy on the recharge due to high-elevation subbasins where the snowpack cover is significant. A possible correlation emerges between computed isotope recharge elevation and mean snow cover elevation, revealing how snowmelt is a primary source for aquifer recharge. Consequently, to evaluate the risk of groundwater resource depletion in a climate-change scenario, there is discussion on how a potential snow-cover reduction would affect the recharge rate of mountainous aquifers. More... »

PAGES

1619-1636

References to SciGraph publications

  • 2014-12-24. Long-term trend and fluctuations of karst spring discharge in a Mediterranean area (central-southern Italy) in ENVIRONMENTAL EARTH SCIENCES
  • 2018-01-24. Water-table and discharge changes associated with the 2016–2017 seismic sequence in central Italy: hydrogeological data and a conceptual model for fractured carbonate aquifers in HYDROGEOLOGY JOURNAL
  • 2019-03-09. The geology and hydrogeology of the Cassino plain (central Apennines, Italy): redefining the regional groundwater balance in HYDROGEOLOGY JOURNAL
  • 2020-07-24. Divergent effects of climate change on future groundwater availability in key mid-latitude aquifers in NATURE COMMUNICATIONS
  • 2020-04-21. Global distribution of carbonate rocks and karst water resources in HYDROGEOLOGY JOURNAL
  • 2019-05-25. Delineation of spring recharge zones using environmental isotopes to support climate-resilient interventions in two mountainous catchments in Far-Western Nepal in HYDROGEOLOGY JOURNAL
  • 2014-06-03. Isotope hydrology and geochemical modeling: new insights into the recharge processes and water–rock interactions of a fissured carbonate aquifer (Gran Sasso, central Italy) in ENVIRONMENTAL EARTH SCIENCES
  • 2002-03. Field based spectral reflectance studies to develop NDSI method for snow cover monitoring in JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING
  • 2017-03-09. Overview of groundwater sources and water-supply systems, and associated microbial pollution, in Finland, Norway and Iceland in HYDROGEOLOGY JOURNAL
  • 2017-05-31. Groundwater mixing in the discharge area of San Vittorino Plain (Central Italy): geochemical characterization and implication for drinking uses in ENVIRONMENTAL EARTH SCIENCES
  • 2020-09-01. Rethinking groundwater age in NATURE GEOSCIENCE
  • 2015-03-28. The hydrogeology of high-mountain carbonate areas: an example of some Alpine systems in southern Piedmont (Italy) in ENVIRONMENTAL EARTH SCIENCES
  • 2014-07-03. Dual-flow in karst aquifers toward a steady discharge spring (Presciano, Central Italy): influences on a subsurface groundwater dependent ecosystem and on changes related to post-earthquake hydrodynamics in ENVIRONMENTAL EARTH SCIENCES
  • 2003-11-26. Estimates of snow accumulation and volume in the Swiss Alps under changing climatic conditions in THEORETICAL AND APPLIED CLIMATOLOGY
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s10040-022-02501-9

    DOI

    http://dx.doi.org/10.1007/s10040-022-02501-9

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1149193068


    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/2008/04", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Earth Sciences", 
            "type": "DefinedTerm"
          }, 
          {
            "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"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Department of Earth Sciences, Sapienza University of Rome, P.le A. Moro 5, 00185, Rome, Italy", 
              "id": "http://www.grid.ac/institutes/grid.7841.a", 
              "name": [
                "Department of Earth Sciences, Sapienza University of Rome, P.le A. Moro 5, 00185, Rome, Italy"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Petitta", 
            "givenName": "Marco", 
            "id": "sg:person.01001052134.37", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01001052134.37"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Earth Sciences, Sapienza University of Rome, P.le A. Moro 5, 00185, Rome, Italy", 
              "id": "http://www.grid.ac/institutes/grid.7841.a", 
              "name": [
                "Department of Earth Sciences, Sapienza University of Rome, P.le A. Moro 5, 00185, Rome, Italy"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Banzato", 
            "givenName": "Francesca", 
            "id": "sg:person.011402353700.07", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011402353700.07"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Earth Sciences, Sapienza University of Rome, P.le A. Moro 5, 00185, Rome, Italy", 
              "id": "http://www.grid.ac/institutes/grid.7841.a", 
              "name": [
                "Department of Earth Sciences, Sapienza University of Rome, P.le A. Moro 5, 00185, Rome, Italy"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Lorenzi", 
            "givenName": "Valeria", 
            "id": "sg:person.015411122020.51", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015411122020.51"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Ramboll Italy S.R.L., Via Mentore Maggini 50, 00143, Rome, Italy", 
              "id": "http://www.grid.ac/institutes/None", 
              "name": [
                "Ramboll Italy S.R.L., Via Mentore Maggini 50, 00143, Rome, Italy"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Matani", 
            "givenName": "Edoardo", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Ecological and Biological Sciences, Tuscia University, 01100, Viterbo, Italy", 
              "id": "http://www.grid.ac/institutes/grid.12597.38", 
              "name": [
                "Department of Ecological and Biological Sciences, Tuscia University, 01100, Viterbo, Italy"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Sbarbati", 
            "givenName": "Chiara", 
            "id": "sg:person.0700453345.90", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0700453345.90"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1007/bf02989978", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028085669", 
              "https://doi.org/10.1007/bf02989978"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10040-019-01953-w", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1112672761", 
              "https://doi.org/10.1007/s10040-019-01953-w"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10040-017-1552-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1084023647", 
              "https://doi.org/10.1007/s10040-017-1552-x"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s12665-014-3364-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047980488", 
              "https://doi.org/10.1007/s12665-014-3364-9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41561-020-0629-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1130468683", 
              "https://doi.org/10.1038/s41561-020-0629-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s12665-014-3440-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018173989", 
              "https://doi.org/10.1007/s12665-014-3440-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10040-017-1717-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1100586937", 
              "https://doi.org/10.1007/s10040-017-1717-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s12665-015-4308-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004280187", 
              "https://doi.org/10.1007/s12665-015-4308-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41467-020-17581-y", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1129595963", 
              "https://doi.org/10.1038/s41467-020-17581-y"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s12665-014-3946-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004386899", 
              "https://doi.org/10.1007/s12665-014-3946-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10040-019-01973-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1115676377", 
              "https://doi.org/10.1007/s10040-019-01973-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00704-003-0016-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037744026", 
              "https://doi.org/10.1007/s00704-003-0016-5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s12665-017-6719-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1085731126", 
              "https://doi.org/10.1007/s12665-017-6719-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10040-020-02139-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1126862921", 
              "https://doi.org/10.1007/s10040-020-02139-5"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2022-07-04", 
        "datePublishedReg": "2022-07-04", 
        "description": "Environmental isotopes were used to determine the source and to understand the physical\u2013chemical processes involved in groundwater movement along a flowpath. This study applies groundwater stable isotopes to assess snow-cover influence on the recharge processes of some regional carbonate aquifers of central Italy. Starting with extensively investigated aquifers, 17 springs were selected and sampled (June\u2013October 2016) for isotope analyses. The \u03b418O\u2013\u03b4D results follow the local meteoric water line; the low mismatch between the 2016 sampling surveys suggests that those springs are not influenced by seasonal variability. Nevertheless, the average elevations of recharge areas calculated using the vertical isotope gradient were higher compared to those obtained with hypsographic profiles. This means that the relevant contribution to recharge comes from higher elevation areas; hence, snowpack coverage and snowpack persistence over time on recharge areas were analysed using satellite images. Four different relationships between the snowpack characteristics and the elevation of recharge areas have been identified. These offer relevant information about the different degrees of dependence of the regional aquifers of central Italy on the recharge due to high-elevation subbasins where the snowpack cover is significant. A possible correlation emerges between computed isotope recharge elevation and mean snow cover elevation, revealing how snowmelt is a primary source for aquifer recharge. Consequently, to evaluate the risk of groundwater resource depletion in a climate-change scenario, there is discussion on how a potential snow-cover reduction would affect the recharge rate of mountainous aquifers.", 
        "genre": "article", 
        "id": "sg:pub.10.1007/s10040-022-02501-9", 
        "isAccessibleForFree": true, 
        "isPartOf": [
          {
            "id": "sg:journal.1047968", 
            "issn": [
              "1431-2174", 
              "1435-0157"
            ], 
            "name": "Hydrogeology Journal", 
            "publisher": "Springer Nature", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "5", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "30"
          }
        ], 
        "keywords": [
          "recharge area", 
          "environmental isotopes", 
          "carbonate aquifers", 
          "central Italy", 
          "local meteoric water line", 
          "groundwater stable isotopes", 
          "regional carbonate aquifer", 
          "meteoric water line", 
          "fractured carbonate aquifer", 
          "groundwater resource depletion", 
          "snow cover reduction", 
          "snow cover influence", 
          "climate change scenarios", 
          "high-elevation areas", 
          "recharge elevation", 
          "isotope gradients", 
          "regional aquifer", 
          "recharge processes", 
          "groundwater movement", 
          "recharge rates", 
          "recharge distribution", 
          "aquifer recharge", 
          "groundwater resources", 
          "seasonal variability", 
          "water line", 
          "isotope analysis", 
          "snowpack characteristics", 
          "stable isotopes", 
          "average elevation", 
          "aquifer", 
          "elevation areas", 
          "satellite images", 
          "isotopes", 
          "physical-chemical processes", 
          "recharge", 
          "cover", 
          "sampling survey", 
          "spring", 
          "primary source", 
          "future availability", 
          "elevation", 
          "area", 
          "subbasins", 
          "flowpaths", 
          "snowmelt", 
          "snow", 
          "Italy", 
          "different relationships", 
          "source", 
          "variability", 
          "gradient", 
          "possible correlation", 
          "resource depletion", 
          "depletion", 
          "different degrees", 
          "distribution", 
          "scenarios", 
          "process", 
          "relevant contribution", 
          "contribution", 
          "profile", 
          "indicators", 
          "movement", 
          "availability", 
          "correlation", 
          "coverage", 
          "influence", 
          "persistence", 
          "resources", 
          "characteristics", 
          "survey", 
          "relationship", 
          "time", 
          "analysis", 
          "rate", 
          "information", 
          "degree", 
          "results", 
          "study", 
          "images", 
          "relevant information", 
          "reduction", 
          "dependence", 
          "lines", 
          "mismatch", 
          "discussion", 
          "low mismatch", 
          "risk"
        ], 
        "name": "Determining recharge distribution in fractured carbonate aquifers in central Italy using environmental isotopes: snowpack cover as an indicator for future availability of groundwater resources", 
        "pagination": "1619-1636", 
        "productId": [
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1149193068"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/s10040-022-02501-9"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/s10040-022-02501-9", 
          "https://app.dimensions.ai/details/publication/pub.1149193068"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2022-12-01T06:43", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-springernature-scigraph/baseset/20221201/entities/gbq_results/article/article_923.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://doi.org/10.1007/s10040-022-02501-9"
      }
    ]
     

    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/s10040-022-02501-9'

    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/s10040-022-02501-9'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10040-022-02501-9'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10040-022-02501-9'


     

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

    234 TRIPLES      21 PREDICATES      126 URIs      104 LITERALS      6 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/s10040-022-02501-9 schema:about anzsrc-for:04
    2 anzsrc-for:0406
    3 schema:author Nf4b9969b30704d90be719f792c185e19
    4 schema:citation sg:pub.10.1007/bf02989978
    5 sg:pub.10.1007/s00704-003-0016-5
    6 sg:pub.10.1007/s10040-017-1552-x
    7 sg:pub.10.1007/s10040-017-1717-7
    8 sg:pub.10.1007/s10040-019-01953-w
    9 sg:pub.10.1007/s10040-019-01973-6
    10 sg:pub.10.1007/s10040-020-02139-5
    11 sg:pub.10.1007/s12665-014-3364-9
    12 sg:pub.10.1007/s12665-014-3440-1
    13 sg:pub.10.1007/s12665-014-3946-6
    14 sg:pub.10.1007/s12665-015-4308-8
    15 sg:pub.10.1007/s12665-017-6719-1
    16 sg:pub.10.1038/s41467-020-17581-y
    17 sg:pub.10.1038/s41561-020-0629-7
    18 schema:datePublished 2022-07-04
    19 schema:datePublishedReg 2022-07-04
    20 schema:description Environmental isotopes were used to determine the source and to understand the physical–chemical processes involved in groundwater movement along a flowpath. This study applies groundwater stable isotopes to assess snow-cover influence on the recharge processes of some regional carbonate aquifers of central Italy. Starting with extensively investigated aquifers, 17 springs were selected and sampled (June–October 2016) for isotope analyses. The δ18O–δD results follow the local meteoric water line; the low mismatch between the 2016 sampling surveys suggests that those springs are not influenced by seasonal variability. Nevertheless, the average elevations of recharge areas calculated using the vertical isotope gradient were higher compared to those obtained with hypsographic profiles. This means that the relevant contribution to recharge comes from higher elevation areas; hence, snowpack coverage and snowpack persistence over time on recharge areas were analysed using satellite images. Four different relationships between the snowpack characteristics and the elevation of recharge areas have been identified. These offer relevant information about the different degrees of dependence of the regional aquifers of central Italy on the recharge due to high-elevation subbasins where the snowpack cover is significant. A possible correlation emerges between computed isotope recharge elevation and mean snow cover elevation, revealing how snowmelt is a primary source for aquifer recharge. Consequently, to evaluate the risk of groundwater resource depletion in a climate-change scenario, there is discussion on how a potential snow-cover reduction would affect the recharge rate of mountainous aquifers.
    21 schema:genre article
    22 schema:isAccessibleForFree true
    23 schema:isPartOf N2a66421441604c4f98c733c480a100e3
    24 N3c484d911b4944148280ed4123d36d5a
    25 sg:journal.1047968
    26 schema:keywords Italy
    27 analysis
    28 aquifer
    29 aquifer recharge
    30 area
    31 availability
    32 average elevation
    33 carbonate aquifers
    34 central Italy
    35 characteristics
    36 climate change scenarios
    37 contribution
    38 correlation
    39 cover
    40 coverage
    41 degree
    42 dependence
    43 depletion
    44 different degrees
    45 different relationships
    46 discussion
    47 distribution
    48 elevation
    49 elevation areas
    50 environmental isotopes
    51 flowpaths
    52 fractured carbonate aquifer
    53 future availability
    54 gradient
    55 groundwater movement
    56 groundwater resource depletion
    57 groundwater resources
    58 groundwater stable isotopes
    59 high-elevation areas
    60 images
    61 indicators
    62 influence
    63 information
    64 isotope analysis
    65 isotope gradients
    66 isotopes
    67 lines
    68 local meteoric water line
    69 low mismatch
    70 meteoric water line
    71 mismatch
    72 movement
    73 persistence
    74 physical-chemical processes
    75 possible correlation
    76 primary source
    77 process
    78 profile
    79 rate
    80 recharge
    81 recharge area
    82 recharge distribution
    83 recharge elevation
    84 recharge processes
    85 recharge rates
    86 reduction
    87 regional aquifer
    88 regional carbonate aquifer
    89 relationship
    90 relevant contribution
    91 relevant information
    92 resource depletion
    93 resources
    94 results
    95 risk
    96 sampling survey
    97 satellite images
    98 scenarios
    99 seasonal variability
    100 snow
    101 snow cover influence
    102 snow cover reduction
    103 snowmelt
    104 snowpack characteristics
    105 source
    106 spring
    107 stable isotopes
    108 study
    109 subbasins
    110 survey
    111 time
    112 variability
    113 water line
    114 schema:name Determining recharge distribution in fractured carbonate aquifers in central Italy using environmental isotopes: snowpack cover as an indicator for future availability of groundwater resources
    115 schema:pagination 1619-1636
    116 schema:productId N5b7d269160ee4e9b811779faaf3caf58
    117 N7b573b1c144344de867f840248696216
    118 schema:sameAs https://app.dimensions.ai/details/publication/pub.1149193068
    119 https://doi.org/10.1007/s10040-022-02501-9
    120 schema:sdDatePublished 2022-12-01T06:43
    121 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    122 schema:sdPublisher N28179abffb7f4dcdab87913dbbc5f33b
    123 schema:url https://doi.org/10.1007/s10040-022-02501-9
    124 sgo:license sg:explorer/license/
    125 sgo:sdDataset articles
    126 rdf:type schema:ScholarlyArticle
    127 N20f2c4f937ed462497f786e84eb5670a rdf:first sg:person.015411122020.51
    128 rdf:rest N971f362c9ce2485997fba996be8b5e3c
    129 N28179abffb7f4dcdab87913dbbc5f33b schema:name Springer Nature - SN SciGraph project
    130 rdf:type schema:Organization
    131 N2a66421441604c4f98c733c480a100e3 schema:volumeNumber 30
    132 rdf:type schema:PublicationVolume
    133 N3c484d911b4944148280ed4123d36d5a schema:issueNumber 5
    134 rdf:type schema:PublicationIssue
    135 N42eeb7524ec24b6d8b51839cfcf24de5 schema:affiliation grid-institutes:None
    136 schema:familyName Matani
    137 schema:givenName Edoardo
    138 rdf:type schema:Person
    139 N4d5a7ead17134eda956c907b4c3056fa rdf:first sg:person.0700453345.90
    140 rdf:rest rdf:nil
    141 N5b7d269160ee4e9b811779faaf3caf58 schema:name doi
    142 schema:value 10.1007/s10040-022-02501-9
    143 rdf:type schema:PropertyValue
    144 N7b573b1c144344de867f840248696216 schema:name dimensions_id
    145 schema:value pub.1149193068
    146 rdf:type schema:PropertyValue
    147 N971f362c9ce2485997fba996be8b5e3c rdf:first N42eeb7524ec24b6d8b51839cfcf24de5
    148 rdf:rest N4d5a7ead17134eda956c907b4c3056fa
    149 Ne981ec815f6045648cb4b2d80f8ca0d7 rdf:first sg:person.011402353700.07
    150 rdf:rest N20f2c4f937ed462497f786e84eb5670a
    151 Nf4b9969b30704d90be719f792c185e19 rdf:first sg:person.01001052134.37
    152 rdf:rest Ne981ec815f6045648cb4b2d80f8ca0d7
    153 anzsrc-for:04 schema:inDefinedTermSet anzsrc-for:
    154 schema:name Earth Sciences
    155 rdf:type schema:DefinedTerm
    156 anzsrc-for:0406 schema:inDefinedTermSet anzsrc-for:
    157 schema:name Physical Geography and Environmental Geoscience
    158 rdf:type schema:DefinedTerm
    159 sg:journal.1047968 schema:issn 1431-2174
    160 1435-0157
    161 schema:name Hydrogeology Journal
    162 schema:publisher Springer Nature
    163 rdf:type schema:Periodical
    164 sg:person.01001052134.37 schema:affiliation grid-institutes:grid.7841.a
    165 schema:familyName Petitta
    166 schema:givenName Marco
    167 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01001052134.37
    168 rdf:type schema:Person
    169 sg:person.011402353700.07 schema:affiliation grid-institutes:grid.7841.a
    170 schema:familyName Banzato
    171 schema:givenName Francesca
    172 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011402353700.07
    173 rdf:type schema:Person
    174 sg:person.015411122020.51 schema:affiliation grid-institutes:grid.7841.a
    175 schema:familyName Lorenzi
    176 schema:givenName Valeria
    177 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015411122020.51
    178 rdf:type schema:Person
    179 sg:person.0700453345.90 schema:affiliation grid-institutes:grid.12597.38
    180 schema:familyName Sbarbati
    181 schema:givenName Chiara
    182 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0700453345.90
    183 rdf:type schema:Person
    184 sg:pub.10.1007/bf02989978 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028085669
    185 https://doi.org/10.1007/bf02989978
    186 rdf:type schema:CreativeWork
    187 sg:pub.10.1007/s00704-003-0016-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037744026
    188 https://doi.org/10.1007/s00704-003-0016-5
    189 rdf:type schema:CreativeWork
    190 sg:pub.10.1007/s10040-017-1552-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1084023647
    191 https://doi.org/10.1007/s10040-017-1552-x
    192 rdf:type schema:CreativeWork
    193 sg:pub.10.1007/s10040-017-1717-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1100586937
    194 https://doi.org/10.1007/s10040-017-1717-7
    195 rdf:type schema:CreativeWork
    196 sg:pub.10.1007/s10040-019-01953-w schema:sameAs https://app.dimensions.ai/details/publication/pub.1112672761
    197 https://doi.org/10.1007/s10040-019-01953-w
    198 rdf:type schema:CreativeWork
    199 sg:pub.10.1007/s10040-019-01973-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1115676377
    200 https://doi.org/10.1007/s10040-019-01973-6
    201 rdf:type schema:CreativeWork
    202 sg:pub.10.1007/s10040-020-02139-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1126862921
    203 https://doi.org/10.1007/s10040-020-02139-5
    204 rdf:type schema:CreativeWork
    205 sg:pub.10.1007/s12665-014-3364-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047980488
    206 https://doi.org/10.1007/s12665-014-3364-9
    207 rdf:type schema:CreativeWork
    208 sg:pub.10.1007/s12665-014-3440-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018173989
    209 https://doi.org/10.1007/s12665-014-3440-1
    210 rdf:type schema:CreativeWork
    211 sg:pub.10.1007/s12665-014-3946-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004386899
    212 https://doi.org/10.1007/s12665-014-3946-6
    213 rdf:type schema:CreativeWork
    214 sg:pub.10.1007/s12665-015-4308-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004280187
    215 https://doi.org/10.1007/s12665-015-4308-8
    216 rdf:type schema:CreativeWork
    217 sg:pub.10.1007/s12665-017-6719-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085731126
    218 https://doi.org/10.1007/s12665-017-6719-1
    219 rdf:type schema:CreativeWork
    220 sg:pub.10.1038/s41467-020-17581-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1129595963
    221 https://doi.org/10.1038/s41467-020-17581-y
    222 rdf:type schema:CreativeWork
    223 sg:pub.10.1038/s41561-020-0629-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1130468683
    224 https://doi.org/10.1038/s41561-020-0629-7
    225 rdf:type schema:CreativeWork
    226 grid-institutes:None schema:alternateName Ramboll Italy S.R.L., Via Mentore Maggini 50, 00143, Rome, Italy
    227 schema:name Ramboll Italy S.R.L., Via Mentore Maggini 50, 00143, Rome, Italy
    228 rdf:type schema:Organization
    229 grid-institutes:grid.12597.38 schema:alternateName Department of Ecological and Biological Sciences, Tuscia University, 01100, Viterbo, Italy
    230 schema:name Department of Ecological and Biological Sciences, Tuscia University, 01100, Viterbo, Italy
    231 rdf:type schema:Organization
    232 grid-institutes:grid.7841.a schema:alternateName Department of Earth Sciences, Sapienza University of Rome, P.le A. Moro 5, 00185, Rome, Italy
    233 schema:name Department of Earth Sciences, Sapienza University of Rome, P.le A. Moro 5, 00185, Rome, Italy
    234 rdf:type schema:Organization
     




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


    ...