{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,17]],"date-time":"2025-12-17T03:42:46Z","timestamp":1765942966168,"version":"3.48.0"},"reference-count":43,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2025,11,25]],"date-time":"2025-11-25T00:00:00Z","timestamp":1764028800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Environmental Modelling & Software"],"published-print":{"date-parts":[[2026,1]]},"DOI":"10.1016\/j.envsoft.2025.106793","type":"journal-article","created":{"date-parts":[[2025,11,25]],"date-time":"2025-11-25T16:06:44Z","timestamp":1764086804000},"page":"106793","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Signal estimation adaptive algorithm with latch-mechanism for real-time water quality monitoring"],"prefix":"10.1016","volume":"196","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5782-0048","authenticated-orcid":false,"given":"Boguslaw","family":"Twarog","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7723-1937","authenticated-orcid":false,"given":"Przemyslaw","family":"Hawro","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5095-613X","authenticated-orcid":false,"given":"Tadeusz","family":"Kwater","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"key":"10.1016\/j.envsoft.2025.106793_b1","article-title":"Machine learning methods for better water quality prediction","volume":"578","author":"Ahmed","year":"2019","journal-title":"J. Hydrol."},{"key":"10.1016\/j.envsoft.2025.106793_b2","doi-asserted-by":"crossref","first-page":"3775","DOI":"10.3390\/s21113775","article-title":"A low-cost multi-parameter water quality monitoring system","volume":"21","author":"Alam","year":"2021","journal-title":"Sensors"},{"key":"10.1016\/j.envsoft.2025.106793_b3","doi-asserted-by":"crossref","first-page":"636","DOI":"10.1239\/jap\/1445543837","article-title":"The Kalman\u2013Bucy filter for integrable L\u00e9vy processes with infinite second moment","volume":"52","author":"Applebaum","year":"2015","journal-title":"J. Appl. Probab."},{"key":"10.1016\/j.envsoft.2025.106793_b4","doi-asserted-by":"crossref","first-page":"4118","DOI":"10.3390\/s21124118","article-title":"Integration of remote sensing and mexican water quality monitoring system using an extreme learning machine","volume":"21","author":"Arias-Rodriguez","year":"2021","journal-title":"Sensors"},{"key":"10.1016\/j.envsoft.2025.106793_b5","series-title":"2015 IEEE International Conference on Industrial Engineering and Engineering Management","first-page":"1272","article-title":"Bayesian network and system thinking modelling to manage water-related health risks from extreme events","author":"Bertone","year":"2015"},{"key":"10.1016\/j.envsoft.2025.106793_b6","doi-asserted-by":"crossref","first-page":"1247","DOI":"10.5194\/gmd-7-1247-2014","article-title":"Root mean square error (RMSE) or mean absolute error (MAE)? -Arguments against avoiding RMSE in the literature","volume":"7","author":"Chai","year":"2014","journal-title":"Geosci. Model. Dev."},{"key":"10.1016\/j.envsoft.2025.106793_b7","series-title":"Orthonormal Basis Function Fuzzy Systems For Biological Wastewater Treatment Processes Modeling","first-page":"343","author":"Chaibakhsh","year":"2012"},{"key":"10.1016\/j.envsoft.2025.106793_b8","doi-asserted-by":"crossref","DOI":"10.1016\/j.envsoft.2023.105691","article-title":"An integrated watershed and water quality modeling system to study lake water quality responses to agricultural management practices","volume":"164","author":"Chao","year":"2023","journal-title":"Environ. Model. Softw."},{"year":"2008","series-title":"Surface Water-Quality Modeling","author":"Chapra","key":"10.1016\/j.envsoft.2025.106793_b9"},{"issue":"11","key":"10.1016\/j.envsoft.2025.106793_b10","doi-asserted-by":"crossref","DOI":"10.1029\/2024WR038170","article-title":"Characterizing subsurface structures from hard and soft data with multiple-condition fusion neural network","volume":"60","author":"Cui","year":"2024","journal-title":"Water Resour. Res."},{"key":"10.1016\/j.envsoft.2025.106793_b11","first-page":"139","article-title":"Transport zanieczyszcze\u0144 w rzekach i kana\u0142ach","volume":"Z. 2","author":"Czernuszenko","year":"2000","journal-title":"Przegl\u0105d Geofiz."},{"key":"10.1016\/j.envsoft.2025.106793_b12","article-title":"Water quality evaluation of the Yangtze River in China using machine learning techniques and data monitoring on different time scales","volume":"11","author":"Di","year":"2019","journal-title":"Water (Switzerland)"},{"key":"10.1016\/j.envsoft.2025.106793_b13","doi-asserted-by":"crossref","first-page":"1261","DOI":"10.1109\/TII.2016.2591509","article-title":"Expectation-maximization particle-filter- and Kalman-filter-based permanent magnet temperature estimation for PMSM condition monitoring using high-frequency signal injection","volume":"13","author":"Feng","year":"2017","journal-title":"IEEE Trans. Ind. Inform."},{"year":"1979","series-title":"Mixing in Inland and Coastal Waters","author":"Fischer","key":"10.1016\/j.envsoft.2025.106793_b14"},{"key":"10.1016\/j.envsoft.2025.106793_b15","doi-asserted-by":"crossref","first-page":"6516","DOI":"10.1109\/TII.2022.3161990","article-title":"MPA-RNN: A novel attention-based recurrent neural networks for total nitrogen prediction","volume":"18","author":"Geng","year":"2022","journal-title":"IEEE Trans. Ind. Inform."},{"key":"10.1016\/j.envsoft.2025.106793_b16","doi-asserted-by":"crossref","DOI":"10.1016\/j.envsoft.2022.105405","article-title":"Multi-criteria method for the realistic placement of water quality sensors on pipes of water distribution systems","volume":"152","author":"Giudicianni","year":"2022","journal-title":"Environ. Model. Softw."},{"key":"10.1016\/j.envsoft.2025.106793_b17","article-title":"Using artificial neural networks to solve the problem represented by BOD and DO indicators","volume":"10","author":"Gomolka","year":"2017","journal-title":"Water (Switzerland)"},{"key":"10.1016\/j.envsoft.2025.106793_b18","doi-asserted-by":"crossref","first-page":"245","DOI":"10.1134\/S0097807810020120","article-title":"Modification of the streeter-phelps system with the aim to account for the feedback between dissolved oxygen concentration and organic matter oxidation rate","volume":"37","author":"Gotovtsev","year":"2010","journal-title":"Water Resour."},{"key":"10.1016\/j.envsoft.2025.106793_b19","doi-asserted-by":"crossref","first-page":"899","DOI":"10.1080\/00207727808941748","article-title":"A digital water quality controller for polluted streams","volume":"9","author":"Gourishankar","year":"1978","journal-title":"Int. J. Syst. Sci."},{"key":"10.1016\/j.envsoft.2025.106793_b20","doi-asserted-by":"crossref","first-page":"3077","DOI":"10.1109\/TII.2021.3109095","article-title":"Efficient implementation of continuous-discrete extended Kalman filters for state and parameter estimation of nonlinear dynamic systems","volume":"18","author":"Guihal","year":"2022","journal-title":"IEEE Trans. Ind. Inform."},{"key":"10.1016\/j.envsoft.2025.106793_b21","doi-asserted-by":"crossref","DOI":"10.3390\/app9091883","article-title":"Soft sensor with adaptive algorithm for filter gain correction in the online monitoring system of a polluted river","volume":"9","author":"Hawro","year":"2019","journal-title":"Appl. Sci."},{"key":"10.1016\/j.envsoft.2025.106793_b22","first-page":"39","article-title":"Field tests for evaluating hydraulic transport process in rivers","volume":"E-2(325)","author":"Holley","year":"2001","journal-title":"Publ. Inst. Geophys. Pol. Acad. Sci."},{"key":"10.1016\/j.envsoft.2025.106793_b23","doi-asserted-by":"crossref","DOI":"10.1016\/j.envsoft.2020.104792","article-title":"A comprehensive review on the design and optimization of surface water quality monitoring networks","volume":"132","author":"Jiang","year":"2020","journal-title":"Environ. Model. Softw."},{"key":"10.1016\/j.envsoft.2025.106793_b24","doi-asserted-by":"crossref","first-page":"4131","DOI":"10.3390\/s21124131","article-title":"A review of nanocomposite-modified electrochemical sensors for water quality monitoring","volume":"21","author":"Kanoun","year":"2021","journal-title":"Sensors"},{"key":"10.1016\/j.envsoft.2025.106793_b25","doi-asserted-by":"crossref","first-page":"352","DOI":"10.1016\/j.jhydrol.2019.02.038","article-title":"Synchronization of the vector state estimation methods with unmeasurable coordinates for intelligent water quality monitoring systems in the river","volume":"572","author":"Krutys","year":"2019","journal-title":"J. Hydrol."},{"key":"10.1016\/j.envsoft.2025.106793_b26","doi-asserted-by":"crossref","DOI":"10.1016\/j.asoc.2022.109751","article-title":"Adaptive local landscape feature vector for problem classification and algorithm selection","volume":"131","author":"Li","year":"2022","journal-title":"Appl. Soft Comput."},{"key":"10.1016\/j.envsoft.2025.106793_b27","doi-asserted-by":"crossref","first-page":"2323","DOI":"10.1016\/j.scitotenv.2018.10.069","article-title":"Real-time monitoring of water quality to identify pollution pathways in small and middle scale rivers","volume":"651","author":"Meyer","year":"2019","journal-title":"Sci. Total Environ."},{"year":"1994","series-title":"River Mixing","author":"Rutherford","key":"10.1016\/j.envsoft.2025.106793_b28"},{"key":"10.1016\/j.envsoft.2025.106793_b29","doi-asserted-by":"crossref","DOI":"10.3390\/s17112551","article-title":"An energy efficient adaptive sampling algorithm in a sensor network for automated water quality monitoring","volume":"17","author":"Shu","year":"2017","journal-title":"Sensors (Switzerland)"},{"key":"10.1016\/j.envsoft.2025.106793_b30","doi-asserted-by":"crossref","first-page":"142","DOI":"10.1016\/S0167-2789(01)00228-7","article-title":"The Kalman\u2013L\u00e9vy filter","volume":"151","author":"Sornette","year":"2001","journal-title":"Phys. D"},{"year":"1925","series-title":"A study of the pollution and natural purification of the ohio river 111. Factors concerned in the phenomena of oxidation and reaeration","author":"Streeter","key":"10.1016\/j.envsoft.2025.106793_b31"},{"key":"10.1016\/j.envsoft.2025.106793_b32","doi-asserted-by":"crossref","DOI":"10.1088\/1757-899X\/462\/1\/012028","article-title":"Prototype of the monitoring system and prevention of river water pollution based on android","volume":"462","author":"Sulistyowati","year":"2019","journal-title":"IOP Conf. Ser.: Mater. Sci. Eng."},{"year":"2000","series-title":"Mathematical Modeling of Flows in Rivers and Canals","author":"Szymkiewicz","key":"10.1016\/j.envsoft.2025.106793_b33"},{"key":"10.1016\/j.envsoft.2025.106793_b34","doi-asserted-by":"crossref","first-page":"109","DOI":"10.1016\/j.ecoleng.2015.11.024","article-title":"Risk forecasting of pollution accidents based on an integrated Bayesian network and water quality model for the south to north water transfer project","volume":"96","author":"Tang","year":"2016","journal-title":"Ecol. Eng."},{"issue":"5","key":"10.1016\/j.envsoft.2025.106793_b35","doi-asserted-by":"crossref","first-page":"461","DOI":"10.1016\/S1364-8152(98)00091-7","article-title":"Mathematical modelling of stream DO\u2013BOD accounting for settleable BOD and periodically varying BOD source","volume":"14","author":"Tyagi","year":"1999","journal-title":"Environ. Model. Softw."},{"key":"10.1016\/j.envsoft.2025.106793_b36","doi-asserted-by":"crossref","first-page":"961","DOI":"10.1007\/s00449-010-0420-z","article-title":"A BOD monitoring disposable reactor with alginate-entrapped bacteria","volume":"33","author":"Villalobos","year":"2010","journal-title":"Bioprocess Biosyst. Eng."},{"key":"10.1016\/j.envsoft.2025.106793_b37","doi-asserted-by":"crossref","first-page":"102","DOI":"10.1016\/j.jglr.2014.04.002","article-title":"Accommodating environmental thresholds and extreme events in hydrological models: A Bayesian approach","volume":"40","author":"Wellen","year":"2014","journal-title":"J. Gt. Lakes Res."},{"key":"10.1016\/j.envsoft.2025.106793_b38","doi-asserted-by":"crossref","DOI":"10.1016\/j.asoc.2023.110385","article-title":"Adaptive archive-based multifactorial evolutionary algorithm for constrained multitasking optimization","volume":"143","author":"Xing","year":"2023","journal-title":"Appl. Soft Comput."},{"key":"10.1016\/j.envsoft.2025.106793_b39","doi-asserted-by":"crossref","first-page":"1","DOI":"10.3390\/s20123432","article-title":"Real-time water quality monitoring with chemical sensors","volume":"20","author":"Yaroshenko","year":"2020","journal-title":"Sensors (Switzerland)"},{"key":"10.1016\/j.envsoft.2025.106793_b40","doi-asserted-by":"crossref","first-page":"6423","DOI":"10.1109\/TII.2020.2964876","article-title":"A comprehensive comparison of extended and unscented Kalman filters for speed-sensorless control applications of induction motors","volume":"16","author":"Yildiz","year":"2020","journal-title":"IEEE Trans. Ind. Inform."},{"key":"10.1016\/j.envsoft.2025.106793_b41","doi-asserted-by":"crossref","DOI":"10.1016\/j.asoc.2023.110554","article-title":"A synergy of the adaptive whale optimization algorithm and differential evolution for abrupt motion tracking","volume":"144","author":"Zhang","year":"2023","journal-title":"Appl. Soft Comput."},{"key":"10.1016\/j.envsoft.2025.106793_b42","doi-asserted-by":"crossref","first-page":"138","DOI":"10.1016\/j.asoc.2014.11.018","article-title":"A new particle swarm optimization algorithm with adaptive inertia weight based on Bayesian techniques","volume":"28","author":"Zhang","year":"2015","journal-title":"Appl. Soft Comput. J."},{"key":"10.1016\/j.envsoft.2025.106793_b43","doi-asserted-by":"crossref","DOI":"10.1016\/j.envsoft.2024.106020","article-title":"Research on out-of-sample prediction method of water quality parameters based on dual-attention mechanism","volume":"176","author":"Zheng","year":"2024","journal-title":"Environ. Model. Softw."}],"container-title":["Environmental Modelling & Software"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1364815225004773?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1364815225004773?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,12,17]],"date-time":"2025-12-17T03:38:22Z","timestamp":1765942702000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1364815225004773"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,1]]},"references-count":43,"alternative-id":["S1364815225004773"],"URL":"https:\/\/doi.org\/10.1016\/j.envsoft.2025.106793","relation":{},"ISSN":["1364-8152"],"issn-type":[{"type":"print","value":"1364-8152"}],"subject":[],"published":{"date-parts":[[2026,1]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Signal estimation adaptive algorithm with latch-mechanism for real-time water quality monitoring","name":"articletitle","label":"Article Title"},{"value":"Environmental Modelling & Software","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.envsoft.2025.106793","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2025 The Authors. Published by Elsevier Ltd.","name":"copyright","label":"Copyright"}],"article-number":"106793"}}