FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3006671182> ?p ?o ?g. }

• W3006671182 endingPage "124670" @default.
• W3006671182 startingPage "124670" @default.
• W3006671182 abstract "There has been an unsettling rise in the river contamination due to the climate change and anthropogenic activities. Last decades’ research has immensely focussed on river basin water quality (WQ) prediction, risk assessment and pollutant classification techniques to design more potent management policies and advanced early warning system. The next challenge is dealing with water-related data as they are problematic to handle owing to their nonlinearity, nonstationary feature and vague properties due to the unpredictable natural changes, interdependent relationship, human interference and complexity. Artificial intelligence (AI) models have shown remarkable success and superiority to handle such data owing to their higher accuracy to deal with non-linear data, robustness, reliability, cost-effectiveness, problem-solving capability, decision-making capability, efficiency and effectiveness. AI models are the perfect tools for river WQ monitoring, management, sustainability and policymaking. This research reports the state of the art of various AI models implemented for river WQ simulation over the past two decades (2000–2020). Correspondingly, over 200 research articles are reviewed from the Web of Science journals. The survey covers the model structure, input variability, performance metrics, regional generalisation investigation and comprehensive assessments of AI models progress in river water quality research. The increasing contaminants, the lack of funding and the deficiency in data, numerous variables and unique data time series pattern based on the geological area have increased the need for river WQ monitoring and control even more. Hence, this is highly emphasising the involvement of AI models development which can deal with missing data, able to integrate the features of a black-box model and white-box models, benchmarked model and automated early warning system are few of many points need more research. Despite extensive research on WQ simulation using AI models, shortcomings remain according to the current survey, and several possible future research directions are proposed. Overall, this survey provides a new milestone in water resource engineering on the AI model implementation, innovation and transformation in surface WQ modelling with many formidable problems in different blossoming area and objectives to be achieved in the future." @default.
• W3006671182 created "2020-02-24" @default.
• W3006671182 creator A5014521109 @default.
• W3006671182 creator A5033605200 @default.
• W3006671182 creator A5037953109 @default.
• W3006671182 date "2020-06-01" @default.
• W3006671182 modified "2023-10-14" @default.
• W3006671182 title "A survey on river water quality modelling using artificial intelligence models: 2000–2020" @default.
• W3006671182 cites W1132038451 @default.
• W3006671182 cites W134797964 @default.
• W3006671182 cites W1489956020 @default.
• W3006671182 cites W1493968464 @default.
• W3006671182 cites W1509426101 @default.
• W3006671182 cites W1523741643 @default.
• W3006671182 cites W1527146624 @default.
• W3006671182 cites W1541288193 @default.
• W3006671182 cites W1576809124 @default.
• W3006671182 cites W1609937279 @default.
• W3006671182 cites W181561750 @default.
• W3006671182 cites W1821974783 @default.
• W3006671182 cites W1905990843 @default.
• W3006671182 cites W1909566735 @default.
• W3006671182 cites W1912463333 @default.
• W3006671182 cites W195150910 @default.
• W3006671182 cites W1964625223 @default.
• W3006671182 cites W1966673127 @default.
• W3006671182 cites W1967211424 @default.
• W3006671182 cites W1967529496 @default.
• W3006671182 cites W1968049524 @default.
• W3006671182 cites W1969293821 @default.
• W3006671182 cites W1969621693 @default.
• W3006671182 cites W1970030194 @default.
• W3006671182 cites W1970360626 @default.
• W3006671182 cites W1972973316 @default.
• W3006671182 cites W1975009952 @default.
• W3006671182 cites W1975679653 @default.
• W3006671182 cites W1976293179 @default.
• W3006671182 cites W1976379984 @default.
• W3006671182 cites W1976744965 @default.
• W3006671182 cites W1977563642 @default.
• W3006671182 cites W1977614769 @default.
• W3006671182 cites W1978390232 @default.
• W3006671182 cites W1978799329 @default.
• W3006671182 cites W1979174045 @default.
• W3006671182 cites W1979239413 @default.
• W3006671182 cites W1983188045 @default.
• W3006671182 cites W1984423220 @default.
• W3006671182 cites W1985460844 @default.
• W3006671182 cites W1989665358 @default.
• W3006671182 cites W1989767924 @default.
• W3006671182 cites W1992176519 @default.
• W3006671182 cites W1992453431 @default.
• W3006671182 cites W1993258723 @default.
• W3006671182 cites W1993353636 @default.
• W3006671182 cites W1995341919 @default.
• W3006671182 cites W1997738271 @default.
• W3006671182 cites W1998366473 @default.
• W3006671182 cites W1998442441 @default.
• W3006671182 cites W1998462925 @default.
• W3006671182 cites W2001832505 @default.
• W3006671182 cites W2002054624 @default.
• W3006671182 cites W2002592134 @default.
• W3006671182 cites W2002987707 @default.
• W3006671182 cites W2005403210 @default.
• W3006671182 cites W2007592554 @default.
• W3006671182 cites W2008487868 @default.
• W3006671182 cites W2009625791 @default.
• W3006671182 cites W2011154736 @default.
• W3006671182 cites W2011492070 @default.
• W3006671182 cites W2011524500 @default.
• W3006671182 cites W2013863526 @default.
• W3006671182 cites W2014243623 @default.
• W3006671182 cites W2014852559 @default.
• W3006671182 cites W2015053255 @default.
• W3006671182 cites W2017910730 @default.
• W3006671182 cites W2017978747 @default.
• W3006671182 cites W2018219591 @default.
• W3006671182 cites W2018287529 @default.
• W3006671182 cites W2019207321 @default.
• W3006671182 cites W2021816682 @default.
• W3006671182 cites W2024519261 @default.
• W3006671182 cites W2025110407 @default.
• W3006671182 cites W2025512130 @default.
• W3006671182 cites W2025867198 @default.
• W3006671182 cites W2026337966 @default.
• W3006671182 cites W2029336736 @default.
• W3006671182 cites W2029552385 @default.
• W3006671182 cites W2031061930 @default.
• W3006671182 cites W2033171367 @default.
• W3006671182 cites W2033904036 @default.
• W3006671182 cites W2036319875 @default.
• W3006671182 cites W2037460094 @default.
• W3006671182 cites W2037759602 @default.
• W3006671182 cites W2039240409 @default.
• W3006671182 cites W2040179209 @default.
• W3006671182 cites W2040928814 @default.
• W3006671182 cites W2043398425 @default.
• W3006671182 cites W2043449394 @default.

• next