{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,18]],"date-time":"2026-03-18T19:19:50Z","timestamp":1773861590987,"version":"3.50.1"},"reference-count":30,"publisher":"MDPI AG","issue":"8","license":[{"start":{"date-parts":[[2024,8,17]],"date-time":"2024-08-17T00:00:00Z","timestamp":1723852800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Tianjin Jinnan District Bureau of Science and Technology","award":["20220105"],"award-info":[{"award-number":["20220105"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJGI"],"abstract":"<jats:p>The scientific assessment and prediction of nearshore water quality are crucial for marine environment protection efforts. This study is based on a comprehensive analysis of existing assessment and prediction methods and considers the regular and random characteristics of nearshore seawater quality due to both natural and anthropogenic influences. It proposes a new method that applies the kriging interpolation algorithm to empirically generated spatio-temporal semivariograms to assess and predict seawater quality. The application of this method in Fujian coastal areas shows that it is able to flexibly and scientifically estimate the variations in various indicators in the region. Combined with GIS spatial data overlay analysis operations, it can be used to quantitatively evaluate different qualities of seawater and provide scientific guidance for marine environmental protection.<\/jats:p>","DOI":"10.3390\/ijgi13080292","type":"journal-article","created":{"date-parts":[[2024,8,19]],"date-time":"2024-08-19T05:19:36Z","timestamp":1724044776000},"page":"292","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Assessing and Predicting Nearshore Seawater Quality with Spatio-Temporal Semivariograms: The Case of Coastal Waters in Fujian Province, China"],"prefix":"10.3390","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2564-8826","authenticated-orcid":false,"given":"Wei","family":"Wang","sequence":"first","affiliation":[{"name":"College of Information Technology Engineering, Tianjin University of Technology and Education, Tianjin 300222, China"}]},{"given":"Wenfang","family":"Cheng","sequence":"additional","affiliation":[{"name":"Polar Research Institute of China, Ministry of Natural Resources of the People\u2019s Republic of China, Shanghai 200136, China"}]},{"given":"Jing","family":"Chen","sequence":"additional","affiliation":[{"name":"College of Information Technology Engineering, Tianjin University of Technology and Education, Tianjin 300222, China"}]}],"member":"1968","published-online":{"date-parts":[[2024,8,17]]},"reference":[{"key":"ref_1","first-page":"243","article-title":"Geostatistics and Spatial Analysis of Groundwater Hydrochemistry near Leliefontein in the Northern Cape, South Africa","volume":"21","author":"Adadzi","year":"2020","journal-title":"In\u017c. 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