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Environments, Volume 10, Issue 12

December 2023 - 27 articles

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Cover Story: The excessive excretion of nitrogen (N) by farm animals can pose severe environmental risks; hence, continuous monitoring of N excretion is imperative. In the present study, near-infrared reflectance (NIR) spectra of wet feces were employed to construct chemometric models for the prediction of N digestibility using artificial neural networks (ANNs). The objective was to develop a real-time, in situ, intelligent tool to monitor fecal N excretion using the rabbit as the animal model. Our results indicated that the combined use of NIR and ANN produced highly accurate models to predict N digestibility and, in conjunction with feed intake data, can precisely estimate fecal N excretion to the environment. View this paper

Articles (27)

  • Review
  • Open Access
12 Citations
8,668 Views
33 Pages

Fog Water: A General Review of Its Physical and Chemical Aspects

  • Dani Khoury,
  • Maurice Millet,
  • Yasmine Jabali and
  • Olivier Delhomme

Studies concerning fog water have been rapidly increasing due to its negative impacts on different environmental processes. However, fog water harvesting has become beneficial in various countries to overcome water scarcity. Accurate fog forecasting...

  • Article
  • Open Access
4 Citations
3,859 Views
22 Pages

Fugitive Dust Associated with Scrap Metal Processing

  • Jeff Gearhart,
  • Simone Sagovac,
  • Tian Xia,
  • Md Kamrul Islam,
  • Albert Shim,
  • Sung-Hee Seo,
  • Melissa Cooper Sargent,
  • Natalie R. Sampson,
  • Jacob Napieralski and
  • Ika Danielson
  • + 1 author

Fugitive dust (FD) is a nuisance and potential health issue, particularly in environmental justice communities that can experience high levels of contaminated FD. This community-initiated study examined FD from a scrap metal processor in Detroit, Mic...

  • Article
  • Open Access
3,328 Views
12 Pages

Migration of Artificial Turf Fibers from Artificial Turf Sports Field and Their Ingestion by Goldfish

  • Kanoko Takahashi,
  • Ryosuke Fujinuma,
  • Tomoyasu Yoshitomi,
  • Yasuo Shimizu and
  • Makito Kobayashi

Various artificial materials and facilities are sources of microplastics, including artificial turf sports fields. In artificial turf fields, polyethylene fibers are attached to a basal cloth with adhesives. In the present study, we investigated whet...

  • Article
  • Open Access
3 Citations
3,559 Views
12 Pages

From Global Health to Global Warming: Tracing Climate Change Interest during the First Two Years of COVID-19 Using Google Trends Data from the United States

  • Lena Hoffmann,
  • Keno K. Bressem,
  • Jonas Cittadino,
  • Christopher Rueger,
  • Phillip Suwalski,
  • Jakob Meinel,
  • Simon Funken and
  • Felix Busch

Climate change mitigation depends on actions that affect the public interest and lead to widespread changes in public attitudes and behavior. With the global outbreak of the COVID-19 pandemic, humanity faced a more imminent threat to its well-being a...

  • Review
  • Open Access
4 Citations
2,700 Views
15 Pages

A Comprehensive Review of Risk Assessments of Organic Effluents in Car Workshops

  • Rémi Bouchiat,
  • Etienne Veignie,
  • Fabien Kaczmarek,
  • Julien Dorchy,
  • Anne-Danièle Fortunato and
  • Catherine Rafin

Water is an essential resource for the functioning of society, where it is involved in key areas such as domestic use, agriculture, energy production, industry, and transport. Climate change exacerbates water scarcity. In the context of preserving wa...

  • Article
  • Open Access
8 Citations
3,862 Views
29 Pages

A Deep Survey of Fish Health for the Recognition of Useful Biomarkers to Monitor Water Pollution

  • Graziella Orso,
  • Roberta Imperatore,
  • Elena Coccia,
  • Gianluca Rinaldi,
  • Domenico Cicchella and
  • Marina Paolucci

The aim of the present study was to evaluate the wild freshwater fish health status using a vast array of biomarkers as predictive factors of pollutant exposure. The European eel (Anguilla anguilla) and brown trout (Salmo trutta fario), resident in r...

  • Article
  • Open Access
1 Citations
2,360 Views
14 Pages

This paper presents a new framework, “colours-of-the-wind” (COLD), which is designed to estimate air quality based on images from meteorological cameras, data analytics techniques, and the application of deep learning. Existing air qualit...

  • Article
  • Open Access
6 Citations
4,003 Views
24 Pages

New Graph-Based and Transformer Deep Learning Models for River Dissolved Oxygen Forecasting

  • Paulo Alexandre Costa Rocha,
  • Victor Oliveira Santos,
  • Jesse Van Griensven Thé and
  • Bahram Gharabaghi

Dissolved oxygen (DO) is a key indicator of water quality and the health of an aquatic ecosystem. Aspiring to reach a more accurate forecasting approach for DO levels of natural streams, the present work proposes new graph-based and transformer-based...

  • Article
  • Open Access
4 Citations
3,705 Views
21 Pages

Why Do Farmers Over-Extract Groundwater Resources? Assessing (Un)sustainable Behaviors Using an Integrated Agent-Centered Framework

  • Omid M. Ghoochani,
  • Hamed Eskandari Damaneh,
  • Hadi Eskandari Damaneh,
  • Mansour Ghanian and
  • Matthew Cotton

This study uses an Integrated Agent-Centered (IAC) framework to investigate the socio-psychological drivers of Iranian farmers’ unsustainable groundwater management practices. Empirical land use change analysis of US Geological Survey Landsat s...

  • Article
  • Open Access
7 Citations
2,468 Views
12 Pages

We developed a system combining visible-light photocatalysis with biological treatment for the continuous removal of phthalate esters (PAEs) from both synthetic and real aquaculture wastewater. We investigated the effects of different operating facto...

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