{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,6]],"date-time":"2026-03-06T16:08:13Z","timestamp":1772813293858,"version":"3.50.1"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643686547","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,3,4]],"date-time":"2026-03-04T00:00:00Z","timestamp":1772582400000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,3,4]]},"abstract":"<jats:p>The environmental pollution issues caused by industrialization are becoming increasingly severe, making the development of highly efficient and precise environmental monitoring technologies crucial. This paper systematically reviews the principles and application characteristics of mainstream optical sensing technologies, including absorption spectroscopy, luminescence spectroscopy, light scattering, and surface plasmon resonance. Through case studies on monitoring water nitrate, atmospheric trace gases, and soil petroleum hydrocarbons, it analyzes their effectiveness in pollutant identification, quantification, and spatial distribution analysis. Analysis indicates that while these technologies offer high sensitivity and rapid response, they face application bottlenecks such as weak interference resistance in complex environments, insufficient long-term stability, and lack of standardization. Future research should focus on cross-disciplinary integration with artificial intelligence, micro\/nano fabrication, and new materials to advance toward intelligent, miniaturized, and system-coordinated next-generation monitoring systems.<\/jats:p>","DOI":"10.3233\/faia260023","type":"book-chapter","created":{"date-parts":[[2026,3,6]],"date-time":"2026-03-06T10:20:53Z","timestamp":1772792453000},"source":"Crossref","is-referenced-by-count":0,"title":["A Review of Optical Sensor Applications in Water, Atmospheric and Soil Environmental Monitoring"],"prefix":"10.3233","author":[{"given":"Yantong","family":"Meng","sequence":"first","affiliation":[{"name":"School of Marine Technology and Environment, Dalian Ocean University, Dalian 116023, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ziyi","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Marine Technology and Environment, Dalian Ocean University, Dalian 116023, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lina","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Marine Technology and Environment, Dalian Ocean University, Dalian 116023, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","Machine Learning and Artificial Intelligence"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/FAIA260023","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,6]],"date-time":"2026-03-06T10:20:54Z","timestamp":1772792454000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/FAIA260023"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,3,4]]},"ISBN":["9781643686547"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/faia260023","relation":{},"ISSN":["0922-6389","1879-8314"],"issn-type":[{"value":"0922-6389","type":"print"},{"value":"1879-8314","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,3,4]]}}}