{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,13]],"date-time":"2026-10-13T13:02:47Z","timestamp":1791896567491,"version":"4.3.4"},"reference-count":20,"publisher":"Wiley","issue":"6","license":[{"start":{"date-parts":[[2018,9,11]],"date-time":"2018-09-11T00:00:00Z","timestamp":1536624000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":["ngwa.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Groundwater"],"published-print":{"date-parts":[[2019,11]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>\n                    The Geological Survey of the Netherlands (TNO\u2010GSN) maintains a public national database of groundwater head observations. Transfer function\u2010noise modeling has been applied to the time series in order to extract the impulse response functions for precipitation and evaporation for each piezometer. An automated procedure has been developed to assess the quality of the time series and of the models. The time series models of sufficient quality offer far more homogeneous data on the piezometric head than the original measurements. This allows for improved mapping of the head at a specific date or of characteristics of the head like average summer or winter levels. Also, the separation of precipitation and evaporation from other influences is useful for groundwater management and policy. The individual time series models are available online with interactive graphics (\n                    <jats:ext-link xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" xlink:href=\"https:\/\/www.grondwatertools.nl\/grondwatertools-viewer\">https:\/\/www.grondwatertools.nl\/grondwatertools\u2010viewer<\/jats:ext-link>\n                    ). The spatial patterns of the impulse response function characteristics can support analyses of the groundwater system.\n                  <\/jats:p>","DOI":"10.1111\/gwat.12819","type":"journal-article","created":{"date-parts":[[2018,8,14]],"date-time":"2018-08-14T04:45:41Z","timestamp":1534221941000},"page":"834-843","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":30,"title":["Automated Time Series Modeling for Piezometers in the National Database of the Netherlands"],"prefix":"10.1111","volume":"57","author":[{"given":"Willem J.","family":"Zaadnoordijk","sequence":"first","affiliation":[{"name":"Water Resources Section Faculty of Civil Engineering and Geosciences, Delft University of Technology  Delft Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Stefanie A.R.","family":"Bus","sequence":"additional","affiliation":[{"name":"TNO\u2014Geological Survey of the Netherlands, P.O. Box 80015  3508 TA Utrecht Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Aris","family":"Lourens","sequence":"additional","affiliation":[{"name":"TNO\u2014Geological Survey of the Netherlands, P.O. Box 80015  3508 TA Utrecht Netherlands"},{"name":"Department of Physical Geography Faculty of Geosciences, Utrecht University  Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wilbert L.","family":"Berendrecht","sequence":"additional","affiliation":[{"name":"Berendrecht Consultancy  Harderwijk Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2018,9,11]]},"reference":[{"key":"e_1_2_7_2_1","doi-asserted-by":"publisher","DOI":"10.1029\/2007WR006239"},{"key":"e_1_2_7_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.advwatres.2006.04.008"},{"key":"e_1_2_7_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jhydrol.2016.02.028"},{"key":"e_1_2_7_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/0022-1694(84)90019-2"},{"key":"e_1_2_7_6_1","doi-asserted-by":"publisher","DOI":"10.1002\/(SICI)1099-1085(19980615)12:7<1053::AID-HYP639>3.0.CO;2-E"},{"key":"e_1_2_7_7_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.geoderma.2004.01.025"},{"key":"e_1_2_7_8_1","doi-asserted-by":"publisher","DOI":"10.1016\/0022-1694(94)90101-5"},{"key":"e_1_2_7_9_1","doi-asserted-by":"publisher","DOI":"10.1007\/BF02910550"},{"key":"e_1_2_7_10_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10040-010-0654-5"},{"key":"e_1_2_7_11_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10040-013-0973-4"},{"key":"e_1_2_7_12_1","doi-asserted-by":"publisher","DOI":"10.1002\/2013WR014800"},{"key":"e_1_2_7_13_1","unstructured":"RussoTess UpnanuLall HuiWen andMaryWilliams(2014) Assessment of trends in groundwater levels across the United States Columbia Water Center White Paper.water.columbia.edu(accessed November 14 2017)."},{"key":"e_1_2_7_14_1","doi-asserted-by":"publisher","DOI":"10.1029\/2009WR008933"},{"key":"e_1_2_7_15_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10040-014-1223-0"},{"key":"e_1_2_7_16_1","doi-asserted-by":"publisher","DOI":"10.1016\/0167-7152(92)90112-I"},{"key":"e_1_2_7_17_1","doi-asserted-by":"publisher","DOI":"10.1029\/2008WR006825"},{"key":"e_1_2_7_18_1","doi-asserted-by":"publisher","DOI":"10.1016\/0016-7061(70)90006-6"},{"issue":"3","key":"e_1_2_7_19_1","first-page":"37","article-title":"Vlakdekkende tijdreeksanalyse: Een data\u2010gedreven methode voor het projecteren van grondwaterstand reeksen (Spatial time series analysis: a data driven method for projecting groundwater level series; in Dutch)","volume":"23","author":"Van Loon A.","year":"2015","journal-title":"Stromingen"},{"key":"e_1_2_7_20_1","doi-asserted-by":"publisher","DOI":"10.1029\/2001WR001136"},{"key":"e_1_2_7_21_1","volume-title":"Application of Spatial Time\u2010Series Analysis to Determine Calibration Targets for Transient Groundwater Models, MODFLOW & More 2013","author":"Zaadnoordijk W.J.","year":"2013"}],"container-title":["Groundwater"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.wiley.com\/onlinelibrary\/tdm\/v1\/articles\/10.1111%2Fgwat.12819","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1111\/gwat.12819","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/full-xml\/10.1111\/gwat.12819","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/ngwa.onlinelibrary.wiley.com\/doi\/pdf\/10.1111\/gwat.12819","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,2]],"date-time":"2025-11-02T09:30:09Z","timestamp":1762075809000},"score":1,"resource":{"primary":{"URL":"https:\/\/ngwa.onlinelibrary.wiley.com\/doi\/10.1111\/gwat.12819"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,9,11]]},"references-count":20,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2019,11]]}},"alternative-id":["10.1111\/gwat.12819"],"URL":"https:\/\/doi.org\/10.1111\/gwat.12819","archive":["Portico"],"relation":{},"ISSN":["0017-467X","1745-6584"],"issn-type":[{"value":"0017-467X","type":"print"},{"value":"1745-6584","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,9,11]]},"assertion":[{"value":"2018-03-22","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2018-08-12","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2018-09-11","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}