Article
Environmental Sciences
Son Truong Cao, Ha Phuong Tran, Huong Thi Thu Le, Hoa Phung Khanh Bui, Giang Thi Huong Nguyen, Lam Thanh Nguyen, Binh The Nguyen, Anh Duc Luong
Summary: The study comprehensively assessed water pollution in and nearby different types of livestock farms in Vietnam for the first time. It found significant variations in effluent quality among farm types, with high levels of organic matter and microorganisms. Improperly treated livestock waste could impact the quality of ground and surface water sources.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Review
Agriculture, Multidisciplinary
Christiane Bahlo, Peter Dahlhaus
Summary: Although the global adoption of the FAIR principles for scientific data is gaining momentum, particularly in agriculture, the utilization of precision farming technologies and open data standards in extensive livestock farming remains low. However, there is a wealth of public datasets available that have the potential to inform precision farming decision tools. Through a systematic dataset review, important insights are gained on the state of open datasets in livestock farming and the development of a systematic dataset search strategy, reusable methods, and software scripts.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2021)
Article
Agriculture, Dairy & Animal Science
Rosanna Marino, Francesca Petrera, Marisanna Speroni, Teresa Rutigliano, Andrea Galli, Fabio Abeni
Summary: Precision livestock farming through real time monitoring of dairy cows has the potential to generate a large amount of data for farm management and breeding programs. Daily rumination time (RT) recorded by commercial systems shows promise in relation to individual milk yield and composition. Variance component analysis showed that farm and individual cow had major contributions to the total variability of RT, with higher RT class associated with better milk yield and composition.
Article
Agriculture, Dairy & Animal Science
Marc Jacobs, Aline Remus, Charlotte Gaillard, Hector M. Menendez, Luis O. Tedeschi, Suresh Neethirajan, Jennifer L. Ellis
Summary: The hype of artificial intelligence has shown the limitations of modeling as a human process, emphasizing the importance of data and human involvement in the sustainable role of models in the animal sciences ecosystem.
JOURNAL OF ANIMAL SCIENCE
(2022)
Article
Agriculture, Multidisciplinary
N. Melzer, B. Foris, J. Langbein
Summary: In this study, the effects of system calibration, data filtering, and smoothing methods on the detection of dairy cow behaviors were investigated using an ultra-wideband real-time location system. Although filtering and smoothing methods did not lead to further improvements when RTLS was accurately calibrated, the quality of tracking data was crucial in accurately capturing dairy cow behavior. Additionally, zone-based approaches resulted in lower mean absolute error when detecting neighbors, highlighting the importance of accurate RTLS calibration and tracking data quality in inferring animal behavior.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2021)
Article
Environmental Sciences
Joseph L. Domagalski, Eric Morway, Nancy L. Alvarez, Juliet Hutchins, Michael R. Rosen, Robert Coats
Summary: A study of Lake Tahoe found that the lake's water quality is declining due to algae and fine sediment, leading to a decrease in water clarity. To maintain water clarity, wastewater is exported out of the basin. Over the past 25 years, nitrate loads have decreased, while ammonium loads initially decreased and then continued to increase after 2005, and organic phosphate loads showed significant increases between 2000 and 2005.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Environmental Sciences
Daniela Rechsteiner, Felix E. Wettstein, Nicolas Pfeiffer, Juliane Hollender, Thomas D. Bucheli
Summary: In a study conducted in Swiss experimental fields, natural estrogens applied through cattle and pig slurry mainly entered drainage water through preferential flow. The exported amount was higher when animal slurry was applied compared to aqueous solution, and had minimal impact on the total natural estrogen load in surface waters.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Agriculture, Multidisciplinary
C. Manteuffel, N. Dirksen, T. Hartwig
Summary: Innovations in animal care in livestock production are increasingly relying on automation and bidirectional communication between animals and machines. The current learning progress metrics are not transferable and a normalized precision metric is proposed as an alternative. This metric provides a more accurate assessment of animal learning performance and facilitates the integration of animals in management tasks.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2021)
Article
Green & Sustainable Science & Technology
Xi Chen, Maryna Strokal, Michelle T. H. van Vliet, Xing Fu, Mengru Wang, Lin Ma, Carolien Kroeze
Summary: Nutrient pollution is a widespread issue in rivers in China. This study aims to quantify the spatial variation in in-stream water quality for nutrients and identify their associated sources. The results show that a certain percentage of rivers are highly polluted, with diffuses sources and point sources contributing differently. It is important to consider nutrient forms in models and monitoring programs.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Green & Sustainable Science & Technology
Mulugeta Tilahun Keno, Jane Wamatu, Ashraf Alkhtib, Taye Tolemariam, Solomon Demeke, Geert Paul Jules Janssens
Summary: This study identified key determinants of barley straw utilization for mulch and feed through structured questionnaire and statistical analysis. Findings showed that factors such as educational level of household head, family size, number of equines, etc., positively influenced the optimal proportion of straw used for mulching. Female-headed households and farmers with higher exposure to formal extension tended to use less straw for mulching.
Article
Ecology
J. Jack Kurki-Fox, Michael R. Burchell
Summary: This study provides an overview of water quality in forested wetlands in North Carolina and takes the first step towards developing numeric nutrient standards. The research methodology establishes draft nutrient warning levels based on the best indicators of disturbance, NO3--N and NH4+-N concentrations.
ECOLOGICAL ENGINEERING
(2021)
Article
Environmental Sciences
Ulysse Gaudare, Sylvain Pellerin, Marc Benoit, Guillaume Durand, Bertrand Dumont, Pietro Barbieri, Thomas Nesme
Summary: Livestock productivity is found to be 12% lower in organic farming compared to conventional farming, with significant differences in feeding strategy and feed use efficiency. However, organic dairy cattle have a 46% lower human-food vs animal-feed competition, which contributes to the sustainability of organic livestock management.
ENVIRONMENTAL RESEARCH LETTERS
(2021)
Review
Agriculture, Dairy & Animal Science
Chan Su Han, Upinder Kaur, Huiwen Bai, Barbara Roqueto Dos Reis, Robin White, Robert A. Nawrocki, Richard M. Voyles, Min Gyu Kang, Shashank Priya
Summary: This review introduces a method for real-time monitoring of chemical and physical parameters in the rumen environment using implantable microsensor technology, and discusses the potential applications of this technology in precision livestock farming.
JOURNAL OF DAIRY SCIENCE
(2022)
Article
Environmental Sciences
K. J. Van Meter, M. M. McLeod, J. Liu, G. Thierry Tenkouano, R. Hall, P. Van Cappellen, N. B. Basu
Summary: Excessive use of phosphorus fertilizers and detergents, along with intensified livestock production, has more than doubled the inputs of phosphorus in human-impacted watersheds compared to pre-industrial levels, leading to increasing eutrophication. Accumulation of excess phosphorus across the landscape creates long-term sources of phosphorus to surface waters even after input reductions.
WATER RESOURCES RESEARCH
(2021)
Article
Agriculture, Multidisciplinary
Ayoola Makinde, Muhammad Muhaiminul Islam, Katharine M. Wood, Emily Conlin, Melissa Williams, Stacey D. Scott
Summary: This research examines the adoption of digital technology in the Canadian beef farming industry, specifically in the beef feedlot sector in Ontario. The study reveals that feedlot producers prefer mature technologies that align with their business needs and have limited uptake of precision livestock farming technologies. The main barriers to technology adoption include costs, usability, awareness, and perceived relevance. The study highlights the importance of pricing models and user-centered design for PLF innovators and industry stakeholders.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2022)
Article
Engineering, Environmental
Paul J. A. Withers, Kirsty G. Forber, Christopher Lyon, Shane Rothwell, Donnacha G. Doody, Helen P. Jarvie, Julia Martin-Ortega, Brent Jacobs, Dana Cordell, Myles Patton, Miller A. Camargo-Valero, Rachel Cassidy
Article
Environmental Sciences
K. J. Forber, S. A. Rothwell, G. S. Metson, H. P. Jarvie, P. J. A. Withers
ENVIRONMENTAL RESEARCH LETTERS
(2020)
Article
Engineering, Civil
Fred Worrall, Brandon Kerns, Nicholas J. K. Howden, Tim P. Burt, Helen P. Jarvie
JOURNAL OF HYDROLOGY
(2020)
Article
Environmental Sciences
Helen P. Jarvie, Denise W. Pallett, Stefanie M. Schaefer, Merrin L. Macrae, Michael J. Bowes, Philip Farrand, Alan C. Warwick, Stephen M. King, Richard J. Williams, Linda Armstrong, David J. E. Nicholls, William D. Lord, Daniel Rylett, Colin Roberts, Nigel Fisher
JOURNAL OF ENVIRONMENTAL QUALITY
(2020)
Article
Water Resources
Tim P. Burt, Fred Worrall, Nicholas J. K. Howden, Helen P. Jarvie, Andrew Pratt, Tom H. Hutchinson
Summary: Slapton Ley is the largest natural body of fresh water in south-west England. Since 1970, weekly water quality sampling has been conducted, with a particular focus on nitrate concentrations. Over the decades, nitrate levels initially rose, stabilized in the 1990s, and have been declining in recent years.
HYDROLOGICAL PROCESSES
(2021)
Article
Environmental Sciences
Zachary P. Simpson, Richard W. McDowell, Leo M. Condron, Marshall D. McDaniel, Helen P. Jarvie, Jonathan M. Abell
Summary: This passage discusses the challenge of phosphorus pollution in surface waters and the factors regulating phosphorus concentrations in streams. The study found that sediments often have the potential to remove or release phosphorus into streamwater, but the balance is rarely achieved and influenced by various factors.
JOURNAL OF ENVIRONMENTAL QUALITY
(2021)
Article
Soil Science
Andrew S. Gregory, Adrian Joynes, Elizabeth R. Dixon, Deborah A. Beaumont, Phil J. Murray, Mike W. Humphreys, Goetz M. Richter, Jennifer A. J. Dungait
Summary: The study showed that root traits selected for increased depth, density, and diameter may enhance SOC in grasslands. Two high-yielding forage grass cultivars were found to have positive effects on root and SOC stocks, with fast-growing cultivars enhancing these stocks compared to typical pasture. Lipid biomarkers confirmed that root inputs were the main carbon source for the soil.
EUROPEAN JOURNAL OF SOIL SCIENCE
(2022)
Article
Environmental Sciences
Amber Manley, Adrian L. Collins, Adrian Joynes, Per-Erik Mellander, Phil Jordan
Summary: Water quality degradation can occur due to excessive agricultural nutrient transfers. The EU Nitrates Directive includes measures to mitigate this, including closed fertiliser spreading periods. Robust scientific evidence is needed to support these measures and trace nutrient transfers in wet weather. This study investigated the association between steroids and phosphorus during leaching episodes, and found a weak positive correlation between the two. Further investigation is needed to confirm these findings and complement the study at larger scales.
JOURNAL OF CONTAMINANT HYDROLOGY
(2022)
Article
Environmental Sciences
Dylan W. Price, Janina M. Plach, Helen P. Jarvie, Merrin L. Macrae
Summary: This study investigated the impact of bunker silo effluent from a dairy farm on watershed phosphorus (P) loads, showing significant increases in soluble reactive P (SRP) and total P (TP) concentrations in the stream as well as elevated P concentrations in riparian soils impacted by the effluent. The findings highlight the importance of quantifying agricultural point source contributions to watershed P budgets for effective P remediation efforts.
JOURNAL OF GREAT LAKES RESEARCH
(2021)
Article
Environmental Sciences
Helen P. Jarvie, Merrin L. Macrae, Mark Anderson, Dominika Celmer-Repin, Janina Plach, Stephen M. King
Summary: This study evaluates the effects of enhanced wastewater treatment on river metabolism and demonstrates the significant improvements in river ecosystem response and summer dissolved oxygen concentrations. Moreover, it suggests potential cascading impacts on phosphorus and nitrogen cycles, leading to further improvements in river water quality. Combining river metabolism with nutrient monitoring provides a holistic understanding of the role of nutrients in river ecosystem health and function.
JOURNAL OF ENVIRONMENTAL QUALITY
(2022)
Review
Marine & Freshwater Biology
Sinead C. Hogan, John J. O'Sullivan, Michael Bruen, Helen P. Jarvie, Edward J. Cox, Mike J. Bowes, Mary Kelly-Quinn
Summary: Recent research highlights the importance of studying and managing small streams in order to address concerns about water quality and biodiversity in the wider catchment area, as well as the sustainable management of ecosystem services. A new method for characterising nutrients in non-compliant small streams in Ireland is presented, using publicly available datasets, historical water quality data, hydro-meteorological data correlations, and evaluations of biological index data, urban wastewater issues, and potential impacts in major catchment areas. The study identifies priority areas for mitigation and proposes potential strategies. Many of the small streams studied show high nutrient levels, exceeding concentration thresholds for phosphorus and ammonia, as well as non-statutory nitrogen levels. Mitigating these inputs is crucial for improving water quality in river networks, both in Ireland and globally.
Article
Engineering, Civil
Andrew M. Tye, Jennifer L. Williamson, Helen P. Jarvie, Nancy B. Dise, Dan J. Lapworth, Don Monteith, Richard Sanders, Daniel J. Mayor, Michael J. Bowes, Michael Bowes, Annette Burden, Nathan Callaghan, Gareth Farr, Stacey L. Felgate, Stuart Gibb, Pete J. Gilbert, Geoff Hargreaves, Patrick Keenan, Vassilis Kitidis, Monika D. Jurgens, Adrian Martin, Ian Mounteney, Philip D. Nightingale, M. Gloria Pereira, Justyna Olszewska, Amy Pickard, Andrew P. Rees, Bryan Spears, Mark Stinchcombe, Debbie White, Peter Williams, Fred Worrall, Chris D. Evans
Summary: This study investigated the DIC and free CO2 concentrations in waters of 41 catchments in Great Britain. The study found that dissolved inorganic carbon dominates in coastal waters, while free CO2 concentrations are strongly linked to catchment macronutrient status. The findings provide a basis for developing management strategies to reduce free CO2 concentrations in rivers and mitigate its evasion to the atmosphere.
JOURNAL OF HYDROLOGY
(2022)
Article
Engineering, Environmental
Magdalena Bieroza, Suman Acharya, Jakob Benisch, Rebecca N. ter Borg, Lukas Hallberg, Camilla Negri, Abagael Pruitt, Matthias Pucher, Felipe Saavedra, Kasia Staniszewska, Sofie G. M. van't Veen, Anna Vincent, Carolin Winter, Nandita B. Basu, Helen P. Jarvie, James W. Kirchner
Summary: High-frequency water quality measurements in streams and rivers have greatly improved in the past two decades. This technology allows for automated and detailed chemical analysis of water quality constituents, providing insights into sources, transport pathways, and transformation processes of solutes and particulates. The development of high-frequency water quality measurements has also advanced scientific understanding and management of freshwater systems.
ENVIRONMENTAL SCIENCE & TECHNOLOGY
(2023)
Article
Geosciences, Multidisciplinary
M. G. Hutchins, G. Harding, H. P. Jarvie, T. J. Marsh, M. J. Bowes, M. Loewenthal
JOURNAL OF HYDROLOGY X
(2020)
Article
Environmental Sciences
Douglas R. Smith, Helen P. Jarvie, R. Daren Harmel, Rick L. Haney
JOURNAL OF ENVIRONMENTAL QUALITY
(2019)
Article
Engineering, Civil
Arfan Arshad, Ali Mirchi, Javier Vilcaez, Muhammad Umar Akbar, Kaveh Madani
Summary: High-resolution, continuous groundwater data is crucial for adaptive aquifer management. This study presents a predictive modeling framework that incorporates covariates and existing observations to estimate groundwater level changes. The framework outperforms other methods and provides reliable estimates for unmonitored sites. The study also examines groundwater level changes in different regions and highlights the importance of effective aquifer management.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Lihua Chen, Jie Deng, Wenzhe Yang, Hang Chen
Summary: A new grid-based distributed karst hydrological model (GDKHM) is developed to simulate streamflow in the flood-prone karst area of Southwest China. The results show that the GDKHM performs well in predicting floods and capturing the spatial variability of karst system.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Faruk Gurbuz, Avinash Mudireddy, Ricardo Mantilla, Shaoping Xiao
Summary: Machine learning algorithms have shown better performance in streamflow prediction compared to traditional hydrological models. In this study, researchers proposed a methodology to test and benchmark ML algorithms using artificial data generated by physically-based hydrological models. They found that deep learning algorithms can correctly identify the relationship between streamflow and rainfall in certain conditions, but fail to outperform traditional prediction methods in other scenarios.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Yadong Ji, Jianyu Fu, Bingjun Liu, Zeqin Huang, Xuejin Tan
Summary: This study distinguishes the uncertainty in drought projection into scenario uncertainty, model uncertainty, and internal variability uncertainty. The results show that the estimation of total uncertainty reaches a minimum in the mid-21st century and that model uncertainty is dominant in tropical regions.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Z. R. van Leeuwen, M. J. Klaar, M. W. Smith, L. E. Brown
Summary: This study quantifies the effectiveness of leaky dams in reducing flood peak magnitude using a transfer function noise modelling approach. The results show that leaky dams have a significant but highly variable impact on flood peak magnitude, and managing expectations should consider event size and type.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Zeda Yin, Yasaman Saadati, M. Hadi Amini, Linlong Bian, Beichao Hu
Summary: Combined sewer overflows pose significant threats to public health and the environment, and various strategies have been proposed to mitigate their adverse effects. Smart control strategies have gained traction due to their cost-effectiveness but face challenges in balancing precision and computational efficiency. To address this, we propose exploring machine learning models and the inversion of neural networks for more efficient CSO prediction and optimization.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Qimou Zhang, Jiacong Huang, Jing Zhang, Rui Qian, Zhen Cui, Junfeng Gao
Summary: This study developed a N-cycling model for lowland rural rivers covered by macrophytes and investigated the N imports, exports, and response to sediment dredging. The findings showed a considerable N retention ability in the study river, with significant N imports from connected rivers and surrounding polders. Sediment dredging increased particulate nitrogen resuspension and settling rates, while decreasing ammonia nitrogen release, denitrification, and macrophyte uptake rates.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Xue Li, Yingyin Zhou, Jian Sha, Man Zhang, Zhong-Liang Wang
Summary: High-resolution climate data is crucial for predicting regional climate and water environment changes. In this study, a two-step downscaling method was developed to enhance the spatial resolution of GCM data and improve the accuracy for small basins. The method combined medium-resolution climate data with high-resolution topographic data to capture spatial and temporal details. The downscaled climate data were then used to simulate the impacts of climate change on hydrology and water quality in a small basin. The results demonstrated the effectiveness of the downscaling method for spatially differentiated simulations.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Tongqing Shen, Peng Jiang, Jiahui Zhao, Xuegao Chen, Hui Lin, Bin Yang, Changhai Tan, Ying Zhang, Xinting Fu, Zhongbo Yu
Summary: This study evaluates the long-term interannual dynamics of permafrost distribution and active layer thickness on the Tibetan Plateau, and predicts future degradation trends. The results show that permafrost area has been decreasing and active layer thickness has been increasing, with an accelerated degradation observed in recent decades. This has significant implications for local water cycle processes, water ecology, and water security.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Chi Zhang, Xu Zhang, Qiuhong Tang, Deliang Chen, Jinchuan Huang, Shaohong Wu, Yubo Liu
Summary: Precipitation over the Tibetan Plateau is influenced by systems such as the Asian monsoons, the westerlies, and local circulations. The Indian monsoon, the westerlies, and local circulations are the main systems affecting precipitation over the entire Tibetan Plateau. The East Asian summer monsoon primarily affects the eastern Tibetan Plateau. The Indian monsoon has the greatest influence on precipitation in the southern and central grid cells, while the westerlies have the greatest influence on precipitation in the northern and western grid cells. Local circulations have the strongest influence on the central and eastern grid cells.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Manuel Almeida, Antonio Rodrigues, Pedro Coelho
Summary: This study aimed to improve the accuracy of Total Phosphorus export coefficient models, which are essential for water management. Four different models were applied to 27 agroforestry watersheds in the Mediterranean region. The modeling approach showed significant improvements in predicting the Total Phosphorus diffuse loads.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Yutao Wang, Haojie Yin, Ziyi Wang, Yi Li, Pingping Wang, Longfei Wang
Summary: This study investigated the distribution and transformation of dissolved organic nitrogen (DON) in riverbed sediments impacted by effluent discharge. The authors found that the spectral characteristics of dissolved organic matter (DOM) in surface water and sediment porewater could be used to predict DON variations in riverbed sediments. Random forest and extreme gradient boosting machine learning methods were employed to provide accurate predictions of DON content and properties at different depths. These findings have important implications for wastewater discharge management and river health.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Saba Mirza Alipour, Kolbjorn Engeland, Joao Leal
Summary: This study assesses the uncertainty associated with 100-year flood maps under different scenarios using Monte Carlo simulations. The findings highlight the importance of employing probabilistic approaches for accurate and secure flood maps, with the selection of probability distribution being the primary source of uncertainty in precipitation.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Janine A. de Wit, Marjolein H. J. van Huijgevoort, Jos C. van Dam, Ge A. P. H. van den Eertwegh, Dion van Deijl, Coen J. Ritsema, Ruud P. Bartholomeus
Summary: The study focuses on the hydrological consequences of controlled drainage with subirrigation (CD-SI) on groundwater level, soil moisture content, and soil water potential. The simulations show that CD-SI can improve hydrological conditions for crop growth, but the success depends on subtle differences in geohydrologic characteristics.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Constantin Seidl, Sarah Ann Wheeler, Declan Page
Summary: Water availability and quality issues will become increasingly important in the future due to climate change impacts. Managed Aquifer Recharge (MAR) is an effective water management tool, but often overlooked. This study analyzes global MAR applications and identifies the key factors for success, providing valuable insights for future design and application.
JOURNAL OF HYDROLOGY
(2024)