{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,26]],"date-time":"2026-03-26T08:39:07Z","timestamp":1774514347501,"version":"3.50.1"},"reference-count":35,"publisher":"MDPI AG","issue":"9","license":[{"start":{"date-parts":[[2019,5,9]],"date-time":"2019-05-09T00:00:00Z","timestamp":1557360000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>The online measurement of ground water quality, as one important area of water resource protection, can provide real-time measured water quality parameters and send out warning information in a timely manner when the water resource is polluted. Based on ultraviolet (UV) spectrophotometry, a remote online measurement method is proposed and used to measure the ground water quality parameters chemical oxygen demand (COD), total organic carbon (TOC), nitrate nitrogen (NO3\u2013N), and turbidity (TURB). The principle of UV spectrophotometry and the data processing method are discussed in detail, the correlated mathematical modeling of COD and TOC is given, and a confirmatory experiment is carried out. Turbidity-compensated mathematical modeling is proposed to improve the COD measurement accuracy and a confirmatory experiment is finished with turbidity that ranges from 0 to 100 NTU (Nephelometric Turbidity Unit). The development of a measurement instrument to detect the ground water COD, TOC, NO3\u2013N, and TURB is accomplished; the test experiments are completed according to the standard specification of China\u2019s technical requirement for water quality online automatic monitoring of UV, and the absolute measuring errors of COD, TOC, and NO3\u2013N are smaller than 5.0%, while that of TURB is smaller than 5.4%, which meets the requirements for the online measurement of ground water quality.<\/jats:p>","DOI":"10.3390\/s19092153","type":"journal-article","created":{"date-parts":[[2019,5,9]],"date-time":"2019-05-09T11:22:35Z","timestamp":1557400955000},"page":"2153","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":22,"title":["Study on an Online Detection Method for Ground Water Quality and Instrument Design"],"prefix":"10.3390","volume":"19","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5597-9760","authenticated-orcid":false,"given":"Xiushan","family":"Wu","sequence":"first","affiliation":[{"name":"School of Electrical Engineering, Zhejiang University of Water Resources and Electric Power, Hangzhou 310018, China"}]},{"given":"Renyuan","family":"Tong","sequence":"additional","affiliation":[{"name":"College of Mechanical and Electrical Engineering, China Jiliang University, Hangzhou 310018, China"}]},{"given":"Yanjie","family":"Wang","sequence":"additional","affiliation":[{"name":"College of Mechanical and Electrical Engineering, China Jiliang University, Hangzhou 310018, China"}]},{"given":"Congli","family":"Mei","sequence":"additional","affiliation":[{"name":"School of Electrical Engineering, Zhejiang University of Water Resources and Electric Power, Hangzhou 310018, China"}]},{"given":"Qing","family":"Li","sequence":"additional","affiliation":[{"name":"College of Mechanical and Electrical Engineering, China Jiliang University, Hangzhou 310018, China"}]}],"member":"1968","published-online":{"date-parts":[[2019,5,9]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"57","DOI":"10.1016\/j.scitotenv.2004.08.008","article-title":"Chemical water quality in Thailand and its impacts on the drinking water production in Thailand","volume":"340","author":"Kruawal","year":"2005","journal-title":"Sci. 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