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Civilizations have tried to make drinking water safe to consume for thousands of years. The process of determining water contaminants has evolved with the complexity of the contaminants due to pesticides and heavy metals. The routine…

Quantitative Methods · Quantitative Biology 2025-04-28 Emile Anand , Charles Steinhardt , Martin Hansen

Water pollution is a major global environmental problem, and it poses a great environmental risk to public health and biological diversity. This work is motivated by assessing the potential environmental threat of coal mining through…

Methodology · Statistics 2019-05-17 Amal Agarwal , Lingzhou Xue

The occurrence of polar pesticides in sediments has not been extensively investigated because of their relatively poor hydrophobicity and apparently less persistence in the environment. However, their continuous release into the aquatic…

Other Quantitative Biology · Quantitative Biology 2020-11-24 Maria Vittoria Barbieri , Cristina Postigo , Simon Monllor-Alcaraz , Damia Barcelo , Miren Lopez de Alda

Plastic waste entering the riverine harms local ecosystems leading to negative ecological and economic impacts. Large parcels of plastic waste are transported from inland to oceans leading to a global scale problem of floating debris…

Computer Vision and Pattern Recognition · Computer Science 2023-07-25 Nathaniel Hanson , Ahmet Demirkaya , Deniz Erdoğmuş , Aron Stubbins , Taşkın Padır , Tales Imbiriba

The proliferation of floating anthropogenic debris in rivers has emerged as a pressing environmental concern, exerting a detrimental influence on biodiversity, water quality, and human activities such as navigation and recreation. The…

Computer Vision and Pattern Recognition · Computer Science 2025-10-29 Gauthier Grimmer , Romain Wenger , Clément Flint , Germain Forestier , Gilles Rixhon , Valentin Chardon

Conventional methods for water pollutant detection, such as chemical assays and optical spectroscopy, are often invasive, expensive, and unsuitable for real-time, portable monitoring. In this paper, we introduce VibraWave, a novel…

Systems and Control · Electrical Eng. & Systems 2025-11-27 Sagnik Ghosh , Sandip Chakraborty

The increasing prevalence of marine pollution during the past few decades motivated recent research to help ease the situation. Typical water quality assessment requires continuous monitoring of water and sediments at remote locations with…

Machine Learning · Computer Science 2022-03-08 Xiaoting Xu , Tin Lai , Sayka Jahan , Farnaz Farid

Measuring the connectivity of water in rivers and streams is essential for effective water resource management. Increased extreme weather events associated with climate change can result in alterations to river and stream connectivity.…

Computer Vision and Pattern Recognition · Computer Science 2025-02-04 Timothy James Becker , Derin Gezgin , Jun Yi He Wu , Mary Becker

Anthropogenic pollution of hydrological systems affects diverse communities and ecosystems around the world. Data analytics and modeling tools play a key role in fighting this challenge, as they can help identify key sources as well as…

Machine Learning · Computer Science 2023-09-26 David L. Cole , Gerardo J. Ruiz-Mercado , Victor M. Zavala

Regular monitoring of key water quality parameters is important for assessing its the hydrological status in conjunction with air-pollution interaction. In this study, a new cost - effective technique based on the geo-ecological…

Geophysics · Physics 2017-09-06 V. F. Krapivin , C. A. Varotsos , B. Q. Nghia

One of the biggest environmental problems of our time is the increase in illegal landfills in forests, rivers, on river banks and other secluded places. In addition, waste in rivers causes damage not only locally, but also downstream, both…

Computer Vision and Pattern Recognition · Computer Science 2023-03-28 Dávid Magyar , Máté Cserép , Zoltán Vincellér , Attila D. Molnár

River water quality monitoring is important for aquatic life, livestock, and humans because clean water is critical to meeting food demand during the global food crisis. Excessive contaminants, including phosphate, deplete dissolved oxygen…

Signal Processing · Electrical Eng. & Systems 2025-08-07 Frank Efe Erukainure

Identification of the current and expected future pollution sources to rivers is crucial for sound environmental management. For this purpose numerous approaches were proposed that can be clustered under physical based models, stable…

Applications · Statistics 2022-04-29 Güray Hatipoğlu

Urban rivers provide a water environment that influences residential living. River surface monitoring has become crucial for making decisions about where to prioritize cleaning and when to automatically start the cleaning treatment. We…

Computer Vision and Pattern Recognition · Computer Science 2022-09-23 Takato Yasuno , Junichiro Fujii , Masazumi Amakata

In this paper, we present a regression framework involving several machine learning models to estimate water parameters based on hyperspectral data. Measurements from a multi-sensor field campaign, conducted on the River Elbe, Germany,…

Computer Vision and Pattern Recognition · Computer Science 2019-07-02 Philipp M. Maier , Sina Keller

Environmental health researchers may aim to identify exposure patterns that represent sources, product use, or behaviors that give rise to mixtures of potentially harmful environmental chemical exposures. We present Bayesian non-parametric…

Ongoing advancements in computer vision, particularly in pattern recognition and scene classification, have enabled new applications in environmental monitoring. Deep learning now offers non-contact methods for assessing water quality and…

Computer Vision and Pattern Recognition · Computer Science 2025-09-04 Shubham Laxmikant Deshmukh , Matthew Wilchek , Feras A. Batarseh

In the face of growing needs for water and energy, a fundamental understanding of the environmental impacts of human activities becomes critical for managing water and energy resources, remedying water pollution, and making regulatory…

Signal Processing · Electrical Eng. & Systems 2019-08-30 Guanjie Zheng , Mengqi Liu , Tao Wen , Hongjian Wang , Huaxiu Yao , Susan L. Brantley , Zhenhui Li

Where are the Earth's streams flowing right now? Inland surface waters expand with floods and contract with droughts, so there is no one map of our streams. Current satellite approaches are limited to monthly observations that map only the…

Computer Vision and Pattern Recognition · Computer Science 2020-11-17 Dolores Garcia , Gonzalo Mateo-Garcia , Hannes Bernhardt , Ron Hagensieker , Ignacio G. Lopez Francos , Jonathan Stock , Guy Schumann , Kevin Dobbs , Freddie Kalaitzis

Learning hydrologic models for accurate riverine flood prediction at scale is a challenge of great importance. One of the key difficulties is the need to rely on in-situ river discharge measurements, which can be quite scarce and…

Machine Learning · Computer Science 2019-01-04 Yotam Gigi , Gal Elidan , Avinatan Hassidim , Yossi Matias , Zach Moshe , Sella Nevo , Guy Shalev , Ami Wiesel
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