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Worsening global challenges demand solutions grounded in a systems-level understanding of coupled social and environmental dynamics. Existing environmental models encode extensive knowledge of individual systems, yet much of this…

Systems and Control · Electrical Eng. & Systems 2025-12-25 Megan S. Harris , Ehsanoddin Ghorbanichemazkati , Mohammad Mahdi Naderi , John C. Little , Amro M. Farid

Maintaining a sustainable socio-ecological state of a river delta requires delivery of material and energy fluxes to its body and coastal zone in a way that avoids malnourishment that would compromise system integrity. We present a…

Geophysics · Physics 2014-08-26 Alejandro Tejedor , Anthony Longjas , Ilya Zaliapin , Efi Foufoula-Georgiou

Regional watersheds are complex systems of systems encompassing hydrology, land-use decision-making, estuarine ecological feedbacks, and overlapping governance jurisdictions. Their effective management underlies many modern societal…

Systems and Control · Electrical Eng. & Systems 2026-03-03 Megan S. Harris , John C. Little , Amro M. Farid

Air pollution can be studied in the urban structure regulated by transport networks. Transport networks can be studied as geometric and topological graph characteristics through designed models. Current studies do not offer a comprehensive…

Physics and Society · Physics 2025-06-03 Nan Xu

In a desired environmental protection system, groundwater may not be excluded. In addition to the problem of over-exploitation, in total disagreement with the concept of sustainable development, another not negligible issue concerns the…

Machine Learning · Computer Science 2022-07-21 Daniele Secci , Laura Molino , Andrea Zanini

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

As the power system continues to be flooded with intermittent resources, it becomes more important to accurately assess the role of hydro and its impact on the power grid. While hydropower generation has been studied for decades, dependency…

Signal Processing · Electrical Eng. & Systems 2024-03-07 Dewei Wang , Bhaskar Mitra , Sameer Nekkalapu , Sohom Datta , Bibi Matthew , Rounak Meyur , Heng Wang , Slaven Kincic

Traditional equation-driven hydrological models often struggle to accurately predict streamflow in challenging regional Earth systems like the Tibetan Plateau, while hybrid and existing algorithm-driven models face difficulties in…

Artificial Intelligence · Computer Science 2025-01-10 Cuihui Xia , Lei Yue , Deliang Chen , Yuyang Li , Hongqiang Yang , Ancheng Xue , Zhiqiang Li , Qing He , Guoqing Zhang , Dambaru Ballab Kattel , Lei Lei , Ming Zhou

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

Many dynamical systems can be described in terms of structured flows combining source/sink behavior, cyclic dynamics, and topology-constrained transport. These features arise across a wide range of domains, including physical, engineered,…

Data Analysis, Statistics and Probability · Physics 2026-05-19 Diego Casadei

The hydrometric prediction of water quantity is useful for a variety of applications, including water management, flood forecasting, and flood control. However, the task is difficult due to the dynamic nature and limited data of water…

Machine Learning · Computer Science 2023-12-12 Naghmeh Shafiee Roudbari , Charalambos Poullis , Zachary Patterson , Ursula Eicker

Topological data analysis (TDA) is a tool from data science and mathematics that is beginning to make waves in environmental science. In this work, we seek to provide an intuitive and understandable introduction to a tool from TDA that is…

Machine Learning · Computer Science 2025-07-15 Lander Ver Hoef , Henry Adams , Emily J. King , Imme Ebert-Uphoff

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

Accurate flood forecasting remains a challenge for water-resource management, as it demands modeling of local, time-varying runoff drivers (e.g., rainfall-induced peaks, baseflow trends) and complex spatial interactions across a river…

Machine Learning · Computer Science 2025-09-03 Aishwarya Sarkar , Autrin Hakimi , Xiaoqiong Chen , Hai Huang , Chaoqun Lu , Ibrahim Demir , Ali Jannesari

Foundation models (e.g. ChatGPT, StableDiffusion) pervasively influence society, warranting immediate social attention. While the models themselves garner much attention, to accurately characterize their impact, we must consider the broader…

Machine Learning · Computer Science 2024-07-19 Rishi Bommasani , Dilara Soylu , Thomas I. Liao , Kathleen A. Creel , Percy Liang

This study investigates the application of an artificial neural network framework for analysing water pollution caused by solids. Water pollution by suspended solids poses significant environmental and health risks. Traditional methods for…

Machine Learning · Computer Science 2026-01-12 I. Luviano Soto , Y. Concha Sánchez , A. Raya

The application of process-based and data-driven hydrological models is crucial in modern hydrological research, especially for predicting key water cycle variables such as runoff, evapotranspiration (ET), and soil moisture. These models…

Geophysics · Physics 2024-08-14 Haiyang Shi

The Earth's surface is subject to complex and dynamic processes, ranging from large-scale phenomena such as tectonic plate movements to localized changes associated with ecosystems, agriculture, or human activity. Satellite images enable…

Computer Vision and Pattern Recognition · Computer Science 2026-03-02 Corentin Dufourg , Charlotte Pelletier , Stéphane May , Sébastien Lefèvre

Floods can be very destructive causing heavy damage to life, property, and livelihoods. Global climate change and the consequent sea-level rise have increased the occurrence of extreme weather events, resulting in elevated and frequent…

Machine Learning · Computer Science 2023-10-12 Jimeng Shi , Vitalii Stebliankin , Zhaonan Wang , Shaowen Wang , Giri Narasimhan

Recently, an increasing interest in the management of water and health resources has been recorded. This interest is fed by the global sustainability challenges posed to the humanity that have water scarcity and quality at their core. Thus,…

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