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Related papers: Targeted Source Detection for Environmental Data

200 papers

Reducing methane emissions is essential for mitigating global warming. To attribute methane emissions to their sources, a comprehensive dataset of methane source infrastructure is necessary. Recent advancements with deep learning on…

Computer Vision and Pattern Recognition · Computer Science 2022-08-16 Bryan Zhu , Nicholas Lui , Jeremy Irvin , Jimmy Le , Sahil Tadwalkar , Chenghao Wang , Zutao Ouyang , Frankie Y. Liu , Andrew Y. Ng , Robert B. Jackson

Drinking water for human health and well-being is crucial. Accidental and intentional water contamination can pose great danger to consumers. Optimal design of a system that can quickly detect the presence of contamination in a water…

Social and Information Networks · Computer Science 2016-01-12 Rezvan Nazempour , Mohammad Ali Saniee Monfared , Enrico Zio

Accurate detection and analysis of traces of persistent organic pollutants in water is important in many areas, including environmental monitoring and food quality control, due to their long environmental stability and potential…

Machine Learning · Computer Science 2024-02-02 Vishnu Jayaprakash , Jae Bem You , Chiranjeevi Kanike , Jinfeng Liu , Christopher McCallum , Xuehua Zhang

The ocean ecology is badly impacted by large-scale oil spills, plastic waste, and chemical pollution, which destroy ecosystems and endanger marine life. Acknowledging the detrimental effects of oil spills on ecosystems, our research aims to…

Emerging Technologies · Computer Science 2024-09-04 L Rochit , Nithish Kumar N , Devi Priya V S , Sibi Chakkaravarthy Sethuraman , Anitha Subramanian

The detection and characterization of illegal solid waste disposal sites are essential for environmental protection, particularly for mitigating pollution and health hazards. Improperly managed landfills contaminate soil and groundwater via…

Computer Vision and Pattern Recognition · Computer Science 2024-12-16 Piero Fraternali , Luca Morandini , Sergio Luis Herrera González

Methane is a potent greenhouse gas and a major driver of climate change, making its timely detection critical for effective mitigation. Machine learning (ML) deployed onboard satellites can enable rapid detection while reducing downlink…

Computer Vision and Pattern Recognition · Computer Science 2026-05-14 Maggie Chen , Hala Lamdouar , Luca Marini , Laura Martínez-Ferrer , Chris Bridges , Giacomo Acciarini

This paper proposes an uncertainty-aware marine pollution source tracking framework for unmanned surface vehicles (USVs). By integrating high-fidelity marine pollution dispersion simulation with informative path planning techniques, we…

Robotics · Computer Science 2025-11-12 Song Ma , Yanchao Wang , Richard Bucknall , Yuanchang Liu

Water is a crucial pre-requisite for all human activities. Due to growing demand from population and shrinking supply of potable water, there is an urgent need to use computational methods to manage available water intelligently, and…

Computers and Society · Computer Science 2016-12-19 Biplav Srivastava , Sandeep Sandha , Vaskar Raychoudhury , Sukanya Randhawa , Viral Kapoor , Anmol Agrawal

We describe a method for detecting, locating and quantifying sources of gas emissions to the atmosphere using remotely obtained gas concentration data; the method is applicable to gases of environmental concern. We demonstrate its…

Applications · Statistics 2015-06-12 Bill Hirst , Philip Jonathan , Fernando Gonzalez del Cueto , David Randell , Oliver Kosut

The sustainability of urban environments is an increasingly relevant problem. Air pollution plays a key role in the degradation of the environment as well as the health of the citizens exposed to it. In this chapter we provide a review of…

Machine Learning · Computer Science 2022-01-03 Pablo Torres , Beril Sirmacek , Sergio Hoyas , Ricardo Vinuesa

Real-time air pollution monitoring is a valuable tool for public health and environmental surveillance. In recent years, there has been a dramatic increase in air pollution forecasting and monitoring research using artificial neural…

Machine Learning · Computer Science 2022-11-11 Chen Lin , Safoora Yousefi , Elvis Kahoro , Payam Karisani , Donghai Liang , Jeremy Sarnat , Eugene Agichtein

With water quality management processes, identifying and interpreting relationships between features, such as location and weather variable tuples, and water quality variables, such as levels of bacteria, is key to gaining insights and…

Artificial Intelligence · Computer Science 2022-12-12 Conor Muldoon , Levent Görgü , John J. O'Sullivan , Wim G. Meijer , Gregory M. P. O'Hare

Multi-source spatial point data prediction is crucial in fields like environmental monitoring and natural resource management, where integrating data from various sensors is the key to achieving a holistic environmental understanding.…

Machine Learning · Computer Science 2024-07-02 Dazhou Yu , Xiaoyun Gong , Yun Li , Meikang Qiu , Liang Zhao

Groundwater is a crucial source of drinking water, but it is often contaminated with water-soluble pollutants that can pose significant health risks. Among these pollutants, nitrate has been extensively studied and found to be harmful to…

Physics and Society · Physics 2023-06-19 Hossein Zamaninasab , Zohreh Bajelan

Analyzing air pollution data is challenging as there are various analysis focuses from different aspects: feature (what), space (where), and time (when). As in most geospatial analysis problems, besides high-dimensional features, the…

Machine Learning · Computer Science 2022-02-14 Yun-Hsin Kuo , Takanori Fujiwara , Charles C. -K. Chou , Chun-houh Chen , Kwan-Liu Ma

Using thermal infrared detectors mounted on drones, and applying techniques from astrophysics, we hope to support the field of conservation ecology by creating an automated pipeline for the detection and identification of certain endangered…

Instrumentation and Methods for Astrophysics · Physics 2018-07-10 Claire Burke , Maisie F. Rashman , Owen McAree , Leonard Hambrecht , Steve N. Longmore , Alex K. Piel , Serge A. Wich

We study the inference of the origin and the pattern of contamination in water distribution networks. We assume a simplified model for the dyanmics of the contamination spread inside a water distribution network, and assume that at some…

Physics and Society · Physics 2017-12-07 Alfredo Braunstein , Alejandro Lage-Castellanos , Ernesto Ortega

Monitoring water contaminants is of paramount importance, ensuring public health and environmental well-being. Turbidity, a key parameter, poses a significant problem, affecting water quality. Its accurate assessment is crucial for…

Computer Vision and Pattern Recognition · Computer Science 2024-01-09 Francesca Razzano , Francesco Mauro , Pietro Di Stasio , Gabriele Meoni , Marco Esposito , Gilda Schirinzi , Silvia Liberata Ullo

In recent decades, the causes and consequences of climate change have accelerated, affecting our planet on an unprecedented scale. This change is closely tied to the ways in which humans alter their surroundings. As our actions continue to…

Computer Vision and Pattern Recognition · Computer Science 2024-06-28 Burak Ekim , Michael Schmitt

Climate change is the long-term shift in global weather patterns, largely caused by anthropogenic activity of greenhouse gas emissions. Global climate temperatures have unmistakably risen and naturally occurring climate variability alone…

Physics and Society · Physics 2023-01-26 Junze Zhang , Kerry Zhang , Mary Zhang , Jonathan H. Jiang , Philip E. Rosen , Kristen A. Fahy