Item talk:Q300342
From geokb
{
"USGS Publications Warehouse": { "@context": "https://schema.org", "@type": "Article", "additionalType": "Journal Article", "name": "Spatiotemporal variability of modeled watershed scale surface-depression storage and runoff for the conterminous United States", "identifier": [ { "@type": "PropertyValue", "propertyID": "USGS Publications Warehouse IndexID", "value": "70208607", "url": "https://pubs.usgs.gov/publication/70208607" }, { "@type": "PropertyValue", "propertyID": "USGS Publications Warehouse Internal ID", "value": 70208607 }, { "@type": "PropertyValue", "propertyID": "DOI", "value": "10.1111/1752-1688.12826", "url": "https://doi.org/10.1111/1752-1688.12826" } ], "journal": { "@type": "Periodical", "name": "Journal of the American Water Resources Association", "volumeNumber": "56", "issueNumber": "1" }, "inLanguage": "en", "isPartOf": [ { "@type": "CreativeWorkSeries", "name": "Journal of the American Water Resources Association" } ], "datePublished": "2020", "dateModified": "2020-02-21", "abstract": "This study uses the explores the viability of a proxy model calibration strategy through assessment of the spatiotemporal variability of surface-depression storage and runoff generated with the U.S. Geological Survey\u2019s National Hydrologic Model (NHM) infrastructure for hydrologic response units (HRUs; n=109,951) across the conterminous United States (CONUS). Simulated values for each HRU of daily surface-depression storage (treated as a decimal fraction of total possible volume) and monthly normalized runoff (0 to 1) values were calculated using Spearman\u2019s rho at monthly and annual aggregations. Locations where values are correlated show where previously-developed proxy calibration strategies are likely to be effective. In addition, differences in the correlation for monthly and annual time scale aggregations show which time scale drives surface-depression storage processes in the NHM. Results show overall long-term (annual) correlation is more common than short-term (monthly) correlation over the CONUS; however, summary statistics for eighty-six ecoregions show five with higher ranges of monthly relative to annual Spearman\u2019s rank coefficient values. This landscape-scale analysis shows simulations aggregated to an annual time scale are generally more dominant for the CONUS; however, simulations aggregated to monthly, short-term time scales are more dominant in focused areas where surface-depression storage processes are investigated.", "description": "14 p.", "publisher": { "@type": "Organization", "name": "Wiley" }, "author": [ { "@type": "Person", "name": "Vanderhoof, Melanie K. mvanderhoof@usgs.gov", "givenName": "Melanie K.", "familyName": "Vanderhoof", "email": "mvanderhoof@usgs.gov", "identifier": { "@type": "PropertyValue", "propertyID": "ORCID", "value": "0000-0002-0101-5533", "url": "https://orcid.org/0000-0002-0101-5533" }, "affiliation": [ { "@type": "Organization", "name": "National Research Program - Central Branch", "url": "https://www.usgs.gov/centers/arizona-water-science-center" }, { "@type": "Organization", "name": "Geosciences and Environmental Change Science Center", "url": "https://www.usgs.gov/centers/geosciences-and-environmental-change-science-center" } ] }, { "@type": "Person", "name": "Viger, Roland J. rviger@usgs.gov", "givenName": "Roland J.", "familyName": "Viger", "email": "rviger@usgs.gov", "identifier": { "@type": "PropertyValue", "propertyID": "ORCID", "value": "0000-0003-2520-714X", "url": "https://orcid.org/0000-0003-2520-714X" }, "affiliation": [ { "@type": "Organization", "name": "National Research Program - Central Branch", "url": "https://www.usgs.gov/centers/arizona-water-science-center" }, { "@type": "Organization", "name": "WMA - Integrated Modeling and Prediction Division", "url": "https://www.usgs.gov/mission-areas/water-resources" } ] }, { "@type": "Person", "name": "Driscoll, Jessica M. jdriscoll@usgs.gov", "givenName": "Jessica M.", "familyName": "Driscoll", "email": "jdriscoll@usgs.gov", "identifier": { "@type": "PropertyValue", "propertyID": "ORCID", "value": "0000-0003-3097-9603", "url": "https://orcid.org/0000-0003-3097-9603" }, "affiliation": [ { "@type": "Organization", "name": "National Research Program - Central Branch", "url": "https://www.usgs.gov/centers/arizona-water-science-center" }, { "@type": "Organization", "name": "WMA - Integrated Modeling and Prediction Division", "url": "https://www.usgs.gov/mission-areas/water-resources" }, { "@type": "Organization", "name": "New Mexico Water Science Center", "url": "https://www.usgs.gov/centers/new-mexico-water-science-center" } ] }, { "@type": "Person", "name": "Hay, Lauren", "givenName": "Lauren", "familyName": "Hay", "identifier": { "@type": "PropertyValue", "propertyID": "ORCID", "value": "0000-0003-3763-4595", "url": "https://orcid.org/0000-0003-3763-4595" }, "affiliation": [ { "@type": "Organization", "name": "National Research Program - Central Branch", "url": "https://www.usgs.gov/centers/arizona-water-science-center" } ] } ], "funder": [ { "@type": "Organization", "name": "Geosciences and Environmental Change Science Center", "url": "https://www.usgs.gov/centers/geosciences-and-environmental-change-science-center" }, { "@type": "Organization", "name": "WMA - Integrated Modeling and Prediction Division", "url": "https://www.usgs.gov/mission-areas/water-resources" } ], "spatialCoverage": [ { "@type": "Place", "additionalType": "country", "name": "United States", "url": "https://geonames.org/4074035" } ] }, "OpenAlex": { "_id": "https://openalex.org/w3000268277", "abstract_inverted_index": { "Abstract": [ 0 ], "This": [ 1 ], "study": [ 2 ], "explores": [ 3 ], "the": [ 4, 21, 32, 49, 52, 73, 88, 108, 150, 161, 171 ], "viability": [ 5 ], "of": [ 6, 58, 67, 182 ], "using": [ 7, 118 ], "simulated": [ 8, 19, 125 ], "monthly": [ 9, 97, 132, 162, 187 ], "runoff": [ 10, 81, 126 ], "as": [ 11, 63, 70, 85 ], "a": [ 12, 64 ], "proxy": [ 13 ], "for": [ 14, 101, 160 ], "landscape\u2010scale": [ 15 ], "surface\u2010depression": [ 16, 60, 128, 192 ], "storage": [ 17, 61, 129, 193 ], "processes": [ 18 ], "by": [ 20, 72, 87 ], "United": [ 22, 34 ], "States": [ 23, 35 ], "Geological": [ 24 ], "Survey\u2019s": [ 25 ], "National": [ 26 ], "Hydrologic": [ 27 ], "Model": [ 28, 92 ], "(NHM)": [ 29 ], "infrastructure": [ 30 ], "across": [ 31, 149 ], "conterminous": [ 33 ], "(CONUS).": [ 36 ], "Two": [ 37 ], "different": [ 38 ], "temporal": [ 39 ], "resolution": [ 40 ], "model": [ 41 ], "codes": [ 42 ], "(daily": [ 43 ], "and": [ 44, 79, 98, 116, 127, 133 ], "monthly)": [ 45 ], "were": [ 46, 94, 136 ], "run": [ 47 ], "in": [ 48, 107, 165, 175 ], "NHM": [ 50 ], "with": [ 51, 184 ], "same": [ 53 ], "spatial": [ 54 ], "discretization.": [ 55 ], "Simulated": [ 56 ], "values": [ 57, 100, 135, 148, 156, 188 ], "daily": [ 59, 74 ], "(treated": [ 62 ], "decimal": [ 65 ], "fraction": [ 66 ], "maximum": [ 68 ], "volume)": [ 69 ], "computed": [ 71, 86 ], "Precipitation\u2010Runoff": [ 75 ], "Modeling": [ 76 ], "System": [ 77 ], "(NHM\u2010PRMS)": [ 78 ], "normalized": [ 80 ], "(0": [ 82 ], "to": [ 83, 96, 131, 138, 170, 197 ], "1)": [ 84 ], "Monthly": [ 89 ], "Water": [ 90 ], "Balance": [ 91 ], "(NHM\u2010MWBM)": [ 93 ], "aggregated": [ 95, 130 ], "annual": [ 99, 134, 172 ], "each": [ 102 ], "hydrologic": [ 103 ], "response": [ 104 ], "unit": [ 105 ], "(HRU)": [ 106 ], "CONUS": [ 109 ], "geospatial": [ 110 ], "fabric": [ 111 ], "(HRU;": [ 112 ], "n": [ 113 ], "=": [ 114 ], "109,951)": [ 115 ], "analyzed": [ 117 ], "Spearman\u2019s": [ 119, 154 ], "rank": [ 120, 155 ], "correlation": [ 121, 147 ], "test.": [ 122 ], "Correlations": [ 123 ], "between": [ 124 ], "compared": [ 137, 169 ], "identify": [ 139 ], "where": [ 140, 191 ], "which": [ 141 ], "time": [ 142, 163, 173 ], "scale": [ 143, 164, 174 ], "had": [ 144 ], "relatively": [ 145 ], "higher": [ 146 ], "CONUS.": [ 151 ], "Results": [ 152 ], "show": [ 153, 189 ], ">0.75": [ 157 ], "(highly": [ 158 ], "correlated)": [ 159 ], "28,279": [ 166 ], "HRUs": [ 167, 177, 183 ], "(53.35%)": [ 168 ], "41,655": [ 176 ], "(78.58%).": [ 178 ], "The": [ 179 ], "geographic": [ 180 ], "distribution": [ 181 ], "highly": [ 185 ], "correlated": [ 186 ], "areas": [ 190 ], "features": [ 194 ], "are": [ 195 ], "known": [ 196 ], "be": [ 198 ], "common": [ 199 ], "(e.g.,": [ 200 ], "Prairie": [ 201 ], "Pothole": [ 202 ], "Region,": [ 203 ], "Florida).": [ 204 ] }, "apc_list": { "value": 3000, "currency": "USD", "value_usd": 3000, "provenance": "doaj" }, "apc_paid": null, "authorships": [ { "author_position": "first", "author": { "id": "https://openalex.org/A5037169423", "display_name": "Jessica M. Driscoll", "orcid": "https://orcid.org/0000-0003-3097-9603" }, "institutions": [ { "id": "https://openalex.org/I1286329397", "display_name": "United States Geological Survey", "ror": "https://ror.org/035a68863", "country_code": "US", "type": "government", "lineage": [ "https://openalex.org/I1286329397", "https://openalex.org/I1335927249" ] } ], "countries": [ "US" ], "is_corresponding": true, "raw_author_name": "Jessica M. Driscoll", "raw_affiliation_strings": [ "Water Resources Mission Area (Driscoll, Hay, Viger), U.S. Geological Survey, Denver, Colorado, USA", "Water Resources Mission Area, U.S. Geological Survey, Denver, Colorado, USA" ], "affiliations": [ { "raw_affiliation_string": "Water Resources Mission Area, U.S. Geological Survey, Denver, Colorado, USA", "institution_ids": [ "https://openalex.org/I1286329397" ] }, { "raw_affiliation_string": "Water Resources Mission Area (Driscoll, Hay, Viger), U.S. Geological Survey, Denver, Colorado, USA", "institution_ids": [] } ] }, { "author_position": "middle", "author": { "id": "https://openalex.org/A5022694270", "display_name": "Lauren E. Hay", "orcid": "https://orcid.org/0000-0003-3763-4595" }, "institutions": [ { "id": "https://openalex.org/I1286329397", "display_name": "United States Geological Survey", "ror": "https://ror.org/035a68863", "country_code": "US", "type": "government", "lineage": [ "https://openalex.org/I1286329397", "https://openalex.org/I1335927249" ] } ], "countries": [ "US" ], "is_corresponding": false, "raw_author_name": "Lauren E. Hay", "raw_affiliation_strings": [ "Water Resources Mission Area, U.S. Geological Survey, Denver, Colorado, USA" ], "affiliations": [ { "raw_affiliation_string": "Water Resources Mission Area, U.S. Geological Survey, Denver, Colorado, USA", "institution_ids": [ "https://openalex.org/I1286329397" ] } ] }, { "author_position": "middle", "author": { "id": "https://openalex.org/A5009162924", "display_name": "Melanie K. Vanderhoof", "orcid": "https://orcid.org/0000-0002-0101-5533" }, "institutions": [ { "id": "https://openalex.org/I1286329397", "display_name": "United States Geological Survey", "ror": "https://ror.org/035a68863", "country_code": "US", "type": "government", "lineage": [ "https://openalex.org/I1286329397", "https://openalex.org/I1335927249" ] } ], "countries": [ "US" ], "is_corresponding": false, "raw_author_name": "Melanie K. Vanderhoof", "raw_affiliation_strings": [ "Geoscience and Environmental Change Science Center, U.S. Geological Survey, Denver, Colorado, USA" ], "affiliations": [ { "raw_affiliation_string": "Geoscience and Environmental Change Science Center, U.S. Geological Survey, Denver, Colorado, USA", "institution_ids": [ "https://openalex.org/I1286329397" ] } ] }, { "author_position": "last", "author": { "id": "https://openalex.org/A5078202378", "display_name": "Roland J. Viger", "orcid": "https://orcid.org/0000-0003-2520-714X" }, "institutions": [ { "id": "https://openalex.org/I1286329397", "display_name": "United States Geological Survey", "ror": "https://ror.org/035a68863", "country_code": "US", "type": "government", "lineage": [ "https://openalex.org/I1286329397", "https://openalex.org/I1335927249" ] } ], "countries": [ "US" ], "is_corresponding": false, "raw_author_name": "Roland J. Viger", "raw_affiliation_strings": [ "Water Resources Mission Area, U.S. Geological Survey, Denver, Colorado, USA" ], "affiliations": [ { "raw_affiliation_string": "Water Resources Mission Area, U.S. Geological Survey, Denver, Colorado, USA", "institution_ids": [ "https://openalex.org/I1286329397" ] } ] } ], "best_oa_location": { "is_oa": true, "landing_page_url": "https://doi.org/10.1111/1752-1688.12826", "pdf_url": "https://rss.onlinelibrary.wiley.com/doi/am-pdf/10.1111/1752-1688.12826", "source": { "id": "https://openalex.org/S37976914", "display_name": "JAWRA Journal of the American Water Resources Association", "issn_l": "1093-474X", "issn": [ "1093-474X", "1752-1688" ], "is_oa": false, "is_in_doaj": false, "is_core": true, "host_organization": "https://openalex.org/P4310320595", "host_organization_name": "Wiley", "host_organization_lineage": [ "https://openalex.org/P4310320595" ], "host_organization_lineage_names": [ "Wiley" ], "type": "journal" }, "license": "publisher-specific-oa", "license_id": "https://openalex.org/licenses/publisher-specific-oa", "version": "acceptedVersion", "is_accepted": true, "is_published": false }, "biblio": { "volume": "56", "issue": "1", "first_page": "16", "last_page": "29" }, "citation_normalized_percentile": { "value": 0.672378, "is_in_top_1_percent": false, "is_in_top_10_percent": false }, "cited_by_api_url": "https://api.openalex.org/works?filter=cites:W3000268277", "cited_by_count": 6, "cited_by_percentile_year": { "min": 83, "max": 84 }, "concepts": [ { "id": "https://openalex.org/C39432304", "wikidata": "https://www.wikidata.org/wiki/Q188847", "display_name": "Environmental science", "level": 0, "score": 0.74611586 }, { "id": "https://openalex.org/C50477045", "wikidata": "https://www.wikidata.org/wiki/Q1444790", "display_name": "Surface runoff", "level": 2, "score": 0.699251 }, { "id": "https://openalex.org/C76886044", "wikidata": "https://www.wikidata.org/wiki/Q2883300", "display_name": "Hydrology (agriculture)", "level": 2, "score": 0.66316336 }, { "id": "https://openalex.org/C150547873", "wikidata": "https://www.wikidata.org/wiki/Q947851", "display_name": "Watershed", "level": 2, "score": 0.47025052 }, { "id": "https://openalex.org/C101601086", "wikidata": "https://www.wikidata.org/wiki/Q3753228", "display_name": "Rank correlation", "level": 2, "score": 0.4633608 }, { "id": "https://openalex.org/C2781113848", "wikidata": "https://www.wikidata.org/wiki/Q2915366", "display_name": "Geological survey", "level": 2, "score": 0.41856903 }, { "id": "https://openalex.org/C105795698", "wikidata": "https://www.wikidata.org/wiki/Q12483", "display_name": "Statistics", "level": 1, "score": 0.26615718 }, { "id": "https://openalex.org/C127313418", "wikidata": "https://www.wikidata.org/wiki/Q1069", "display_name": "Geology", "level": 0, "score": 0.17924443 }, { "id": "https://openalex.org/C33923547", "wikidata": "https://www.wikidata.org/wiki/Q395", "display_name": "Mathematics", "level": 0, "score": 0.14826852 }, { "id": "https://openalex.org/C18903297", "wikidata": "https://www.wikidata.org/wiki/Q7150", "display_name": "Ecology", "level": 1, "score": 0.0 }, { "id": "https://openalex.org/C151730666", "wikidata": "https://www.wikidata.org/wiki/Q7205", "display_name": "Paleontology", "level": 1, "score": 0.0 }, { "id": "https://openalex.org/C187320778", "wikidata": "https://www.wikidata.org/wiki/Q1349130", "display_name": "Geotechnical engineering", "level": 1, "score": 0.0 }, { "id": "https://openalex.org/C119857082", "wikidata": "https://www.wikidata.org/wiki/Q2539", "display_name": "Machine learning", "level": 1, "score": 0.0 }, { "id": "https://openalex.org/C41008148", "wikidata": "https://www.wikidata.org/wiki/Q21198", "display_name": "Computer science", "level": 0, "score": 0.0 }, { "id": "https://openalex.org/C86803240", "wikidata": "https://www.wikidata.org/wiki/Q420", "display_name": "Biology", "level": 0, "score": 0.0 } ], "corresponding_author_ids": [ "https://openalex.org/A5037169423" ], "corresponding_institution_ids": [ "https://openalex.org/I1286329397" ], "countries_distinct_count": 1, "counts_by_year": [ { "year": 2024, "cited_by_count": 1 }, { "year": 2023, "cited_by_count": 2 }, { "year": 2022, "cited_by_count": 3 } ], "created_date": "2020-01-23", "datasets": [], "display_name": "Spatiotemporal Variability of Modeled Watershed Scale Surface\u2010Depression Storage and Runoff for the Conterminous United States", "doi": "https://doi.org/10.1111/1752-1688.12826", "fwci": 0.411, "grants": [ { "funder": "https://openalex.org/F4320332183", "funder_display_name": "U.S. Geological Survey", "award_id": null } ], "has_fulltext": false, "id": "https://openalex.org/W3000268277", "ids": { "openalex": "https://openalex.org/W3000268277", "doi": "https://doi.org/10.1111/1752-1688.12826", "mag": "3000268277" }, "indexed_in": [ "crossref" ], "institutions_distinct_count": 1, "is_paratext": false, "is_retracted": false, "keywords": [ { "id": "https://openalex.org/keywords/watershed-simulation", "display_name": "Watershed Simulation", "score": 0.588079 }, { "id": "https://openalex.org/keywords/surface-water-mapping", "display_name": "Surface Water Mapping", "score": 0.554276 }, { "id": "https://openalex.org/keywords/hydrological-modeling", "display_name": "Hydrological Modeling", "score": 0.551302 }, { "id": "https://openalex.org/keywords/flood-inundation-modeling", "display_name": "Flood Inundation Modeling", "score": 0.54816 }, { "id": "https://openalex.org/keywords/sediment-transport-models", "display_name": "Sediment Transport Models", "score": 0.512578 }, { "id": "https://openalex.org/keywords/rank-correlation", "display_name": "Rank correlation", "score": 0.4633608 }, { "id": "https://openalex.org/keywords/geological-survey", "display_name": "Geological survey", "score": 0.41856903 } ], "language": "en", "locations": [ { "is_oa": true, "landing_page_url": "https://doi.org/10.1111/1752-1688.12826", "pdf_url": "https://rss.onlinelibrary.wiley.com/doi/am-pdf/10.1111/1752-1688.12826", "source": { "id": "https://openalex.org/S37976914", "display_name": "JAWRA Journal of the American Water Resources Association", "issn_l": "1093-474X", "issn": [ "1093-474X", "1752-1688" ], "is_oa": false, "is_in_doaj": false, "is_core": true, "host_organization": "https://openalex.org/P4310320595", "host_organization_name": "Wiley", "host_organization_lineage": [ "https://openalex.org/P4310320595" ], "host_organization_lineage_names": [ "Wiley" ], "type": "journal" }, "license": "publisher-specific-oa", "license_id": "https://openalex.org/licenses/publisher-specific-oa", "version": "acceptedVersion", "is_accepted": true, "is_published": false } ], "locations_count": 1, "mesh": [], "ngrams_url": "https://api.openalex.org/works/W3000268277/ngrams", "open_access": { "is_oa": true, "oa_status": "bronze", "oa_url": "https://rss.onlinelibrary.wiley.com/doi/am-pdf/10.1111/1752-1688.12826", "any_repository_has_fulltext": false }, "primary_location": { "is_oa": true, "landing_page_url": "https://doi.org/10.1111/1752-1688.12826", "pdf_url": "https://rss.onlinelibrary.wiley.com/doi/am-pdf/10.1111/1752-1688.12826", "source": { "id": "https://openalex.org/S37976914", "display_name": "JAWRA Journal of the American Water Resources Association", "issn_l": "1093-474X", "issn": [ "1093-474X", "1752-1688" ], "is_oa": false, "is_in_doaj": false, "is_core": true, "host_organization": "https://openalex.org/P4310320595", "host_organization_name": "Wiley", "host_organization_lineage": [ "https://openalex.org/P4310320595" ], "host_organization_lineage_names": [ "Wiley" ], "type": "journal" }, "license": "publisher-specific-oa", "license_id": "https://openalex.org/licenses/publisher-specific-oa", "version": "acceptedVersion", "is_accepted": true, "is_published": false }, "primary_topic": { "id": "https://openalex.org/T10330", "display_name": "Hydrological Modeling and Water Resource Management", "score": 1.0, "subfield": { "id": "https://openalex.org/subfields/2312", "display_name": "Water Science and Technology" }, "field": { "id": "https://openalex.org/fields/23", "display_name": "Environmental Science" }, "domain": { "id": "https://openalex.org/domains/3", "display_name": "Physical Sciences" } }, "publication_date": "2020-01-08", "publication_year": 2020, "referenced_works": [ "https://openalex.org/W1015681294", "https://openalex.org/W1494294239", "https://openalex.org/W1517146607", "https://openalex.org/W1547986958", "https://openalex.org/W1573961524", "https://openalex.org/W1616428343", "https://openalex.org/W1826260909", "https://openalex.org/W1832989026", "https://openalex.org/W1868054314", "https://openalex.org/W1914069691", "https://openalex.org/W1941456640", "https://openalex.org/W1957695582", "https://openalex.org/W1973408814", "https://openalex.org/W1997786403", "https://openalex.org/W1999310382", "https://openalex.org/W2004609727", "https://openalex.org/W2016901841", "https://openalex.org/W2020052620", "https://openalex.org/W2034578969", "https://openalex.org/W2060842690", "https://openalex.org/W2066284922", "https://openalex.org/W2068068744", "https://openalex.org/W2099860287", "https://openalex.org/W2122315938", "https://openalex.org/W2125225822", "https://openalex.org/W2127226096", "https://openalex.org/W2128156388", "https://openalex.org/W2133837084", "https://openalex.org/W2151450859", "https://openalex.org/W2151868609", "https://openalex.org/W2162986469", "https://openalex.org/W2179756444", "https://openalex.org/W2269393798", "https://openalex.org/W2292404434", "https://openalex.org/W2297047643", "https://openalex.org/W2409334180", "https://openalex.org/W2556333588", "https://openalex.org/W2560167313", "https://openalex.org/W2587515448", "https://openalex.org/W2613107797", "https://openalex.org/W2758701133", "https://openalex.org/W2764206043", "https://openalex.org/W2783403887", "https://openalex.org/W2783598392", "https://openalex.org/W2894697350", "https://openalex.org/W2911694990", "https://openalex.org/W2917499272", "https://openalex.org/W996414444" ], "referenced_works_count": 48, "related_works": [ "https://openalex.org/W46140484", "https://openalex.org/W2567223719", "https://openalex.org/W2521758442", "https://openalex.org/W2493062119", "https://openalex.org/W2392839383", "https://openalex.org/W2382634454", "https://openalex.org/W2063316369", "https://openalex.org/W1999729268", "https://openalex.org/W1974344527", "https://openalex.org/W1600449631" ], "sustainable_development_goals": [], "title": "Spatiotemporal Variability of Modeled Watershed Scale Surface\u2010Depression Storage and Runoff for the Conterminous United States", "topics": [ { "id": "https://openalex.org/T10330", "display_name": "Hydrological Modeling and Water Resource Management", "score": 1.0, "subfield": { "id": "https://openalex.org/subfields/2312", "display_name": "Water Science and Technology" }, "field": { "id": "https://openalex.org/fields/23", "display_name": "Environmental Science" }, "domain": { "id": "https://openalex.org/domains/3", "display_name": "Physical Sciences" } }, { "id": "https://openalex.org/T10930", "display_name": "Global Flood Risk Assessment and Management", "score": 0.9996, "subfield": { "id": "https://openalex.org/subfields/2306", "display_name": "Global and Planetary Change" }, "field": { "id": "https://openalex.org/fields/23", "display_name": "Environmental Science" }, "domain": { "id": "https://openalex.org/domains/3", "display_name": "Physical Sciences" } }, { "id": "https://openalex.org/T10889", "display_name": "Soil Erosion and Agricultural Sustainability", "score": 0.9964, "subfield": { "id": "https://openalex.org/subfields/1111", "display_name": "Soil Science" }, "field": { "id": "https://openalex.org/fields/11", "display_name": "Agricultural and Biological Sciences" }, "domain": { "id": "https://openalex.org/domains/1", "display_name": "Life Sciences" } } ], "type": "article", "type_crossref": "journal-article", "updated_date": "2024-08-10T04:01:05.044520", "versions": [] }
}