Article
Environmental Sciences
Md Noim Imtiazy, Kristine Hunter, Jeff Sereda, Leah Dirk, Jeff J. Hudson
Summary: Diverse environmental and anthropogenic factors can influence the properties of dissolved organic matter (DOM) in rivers, which is important for water quality. Studies have shown that the trends in dissolved organic carbon (DOC) and dissolved organic nitrogen (DON) in rivers can vary, and agricultural land use and river discharge are important drivers of DOM patterns. Large reservoirs can also modify riverine DOC composition through longer water residence time.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Engineering, Civil
Eun-Ju Lee, Yera Shin, Gyu-Yeon Yoo, Eun-Byul Ko, David Butman, Peter A. Raymond, Neung-Hwan Oh
Summary: Understanding the quantity and quality of riverine carbon is crucial for predicting global carbon cycle changes and managing drinking water quality. A study in South Korea revealed that the five largest rivers annually discharge around 581 Gg of carbon, with a significant portion being released during the summer monsoon period. The Delta C-14 values for DIC, DOC, and POC varied seasonally, indicating a dynamic source of riverine carbon with influences from chemical weathering and C3 plants.
JOURNAL OF HYDROLOGY
(2021)
Article
Geosciences, Multidisciplinary
Suzanne E. Tank, James W. McClelland, Robert G. M. Spencer, Alexander I. Shiklomanov, Anya Suslova, Florentina Moatar, Rainer M. W. Amon, Lee W. Cooper, Greg Elias, Vyacheslav V. Gordeev, Christopher Guay, Tatiana Yu. Gurtovaya, Lyudmila S. Kosmenko, Edda A. Mutter, Bruce J. Peterson, Bernhard Peucker-Ehrenbrink, Peter A. Raymond, Paul F. Schuster, Lindsay Scott, Robin Staples, Robert G. Striegl, Mikhail Tretiakov, Alexander V. Zhulidov, Nikita Zimov, Sergey Zimov, Robert M. Holmes
Summary: Rivers are sensitive indicators of watershed changes and regulate ecosystem function across the land-ocean continuum. A study on major Arctic rivers found that alkalinity and associated ion fluxes to the ocean increased significantly, while nitrate and other inorganic nutrient fluxes declined. Dissolved organic carbon fluxes showed no overall trend. This indicates disturbance of multiple land processes, with implications for coastal ocean biogeochemical cycling.
Article
Engineering, Civil
Irina I. Pipko, Svetlana P. Pugach, Kseniia P. Shcherbakova, Igor P. Semiletov
Summary: Rivers play a crucial role in the carbon cycle in the Arctic. The study investigates the variations in dissolved organic carbon (DOC) concentrations and DOM composition in Siberian rivers and evaluates their relationship with carbonate chemistry. The findings provide valuable information for understanding the impact of climate change on biogeochemical cycles in the Arctic.
JOURNAL OF HYDROLOGY
(2023)
Article
Engineering, Environmental
Weilu Kang, Xiangang Hu, Ruihong Feng, Changhong Wei, Fubo Yu
Summary: The study provides insights into the effects of land use on greenhouse gas emissions in rivers. The microbial composition and dissolved organic matter properties were found to be influenced by land use intensity and DOM chemical composition. Anthropogenic stressors played a significant role in chromophoric DOM, and DOM biodegradability was positively correlated with CDOM. The variations in CO2 and CH4 emissions were primarily governed by the biodegradation or photomineralization of dissolved organic carbon derived from autotrophic DOM, which was indirectly affected by land use through changes in DOM properties and water chemistry.
ENVIRONMENTAL SCIENCE & TECHNOLOGY
(2023)
Article
Ecology
Jeremy Deeds, Aria Amirbahman, Stephen A. Norton, Douglas G. Suitor, Linda C. Bacon
Summary: The absence of dissolved oxygen in the hypolimnion of lakes can eliminate habitat for sensitive species and release sediment-bound phosphorus. Factors such as basin morphometry and lake stratification dynamics play a crucial role in predicting the likelihood of hypolimnetic anoxia, and including total phosphorus as a variable can help refine predictive models. Our results suggest that lake morphometry and stratification dynamics are key factors in the development of anoxic extent in low-nutrient temperate lakes, providing valuable insights for ecosystem studies.
ECOLOGICAL APPLICATIONS
(2021)
Article
Environmental Sciences
Futing Liu, Dong Wang
Summary: Riverine dissolved organic carbon (DOC) concentration and biodegradability are influenced by factors such as precipitation, vegetation type, soil type, permafrost degradation, and river order. There are significant differences in the controlling factors of DOC biodegradability between small streams and large rivers.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Geosciences, Multidisciplinary
Peter Kuhry, Eirini Makopoulou, Didac Pascual Descarrega, Ivanna Pecker Marcosig, Dario Trombotto Liaudat
Summary: This study presents the first detailed inventory of soil organic carbon (SOC) in a high mountain permafrost zone in the Central Andes. The study finds that plant cover is the main control on SOC storage, with wet meadow areas having the highest storage. The study also projects that future temperature increases will result in an upward shift of the upper vegetation belt, creating new areas of phytomass carbon and SOC storage.
Article
Geosciences, Multidisciplinary
Guo Chen, Hao Wang, Ming Li, Qing-wei Zhang, Jian Wang, Ren Geng, Xiao-bing He
Summary: This study investigated the spatial variation characteristics and driving factors of dissolved organic matter (DOM) in vegetation-restored ephemeral gullies (EGs) in a typical semi-arid region. The results showed that DOM content and composition varied along the EGs, primarily influenced by biocrusts, plant litter, and roots.
Article
Agronomy
Andrew M. Bierer, April B. Leytem, Robert S. Dungan, Amber D. Moore, David L. Bjorneberg
Summary: Insufficient characterization of soil organic carbon dynamics in semi-arid climates contributes uncertainty to estimates of soil organic carbon sequestration. This study estimated changes in soil organic carbon due to variations in manure management, tillage regime, winter cover crop, and crop rotation in southern Idaho, USA. The DNDC model adequately simulated empirical soil organic carbon and biomass carbon measurements, but encountered specific issues when extended to a longer simulation period. By 2050, model forecasts suggested triticale cover crop resulted in soil organic carbon accrual, with a quadratic relationship observed in the effects of manure application on soil organic carbon.
Article
Geosciences, Multidisciplinary
C. E. Clarke, M. L. Francis, B. J. Sakala, M. Hattingh, J. A. Miller
Summary: The mounds of Microhodotermes viator in the South African west coast region have the potential to store a substantial amount of organic and inorganic carbon, and they play an important role in the carbon cycle.
Article
Engineering, Environmental
Devon Kerins, Li Li
Summary: Warming in mountains leads to higher concentrations of dissolved carbon in streams, especially in arid mountain areas. This indicates deteriorating water quality and changes in soil carbon dynamics, which have significant implications for global water resources and environmental sustainability.
ENVIRONMENTAL SCIENCE & TECHNOLOGY
(2023)
Article
Environmental Sciences
Xu Dou, Tongxin Hu, Kajar Koster, Aobo Sun, Guangxin Li, Yang Yue, Long Sun, Yiyang Ding
Summary: This study examines the variations in dissolved organic carbon (DOC) dynamics and soil physicochemical properties following prescribed burnings. Results show that some soil physicochemical and microbial biomass properties recovered within two years after the burning. Soil DOC concentrations varied with sampling time and peaked one year after the prescribed burning. Soil chemical properties, rather than biological properties, were found to be the main driving factors for changes in post-fire soil DOC concentrations.
ENVIRONMENTAL RESEARCH
(2023)
Article
Multidisciplinary Sciences
Peter J. Talling, Megan L. Baker, Ed L. Pope, Sean C. Ruffell, Ricardo Silva Jacinto, Maarten S. Heijnen, Sophie Hage, Stephen M. Simmons, Martin Hasenhundl, Catharina J. Heerema, Claire McGhee, Ronan Apprioual, Anthony Ferrant, Matthieu J. B. Cartigny, Daniel R. Parsons, Michael A. Clare, Raphael M. Tshimanga, Mark A. Trigg, Costa A. Cula, Rui Faria, Arnaud Gaillot, Gode Bola, Dec Wallance, Allan Griffiths, Robert Nunny, Morelia Urlaub, Christine Peirce, Richard Burnett, Jeffrey Neasham, Robert J. Hilton
Summary: This paper analyzes the longest sediment flows measured on Earth, which were caused by floods and spring tides and deposited significant amounts of sediment and carbon into the deep sea. The study demonstrates how major rivers efficiently connect to the deep sea through analyzing the longest runout sediment flows ever measured. These findings have important implications for understanding organic carbon transfer and the impact of terrestrial climate change on the deep sea.
NATURE COMMUNICATIONS
(2022)
Article
Environmental Sciences
Li-Chin Lee, Gabriele Weigelhofer, Thomas Hein, Shin-Chien Chan, Ying-San Liou, Chien-Sen Liao, Fuh-Kwo Shiah, Yu-Lin Yu, Tsung-Yu Lee, Jr-Chuan Huang
Summary: The inverse relationship between dissolved organic carbon (DOC) and nitrate (NO3-) concentrations in aquatic systems is due to stoichiometric and thermodynamic principles. However, the effects of human activities and dissolved oxygen (DO) on the DOC-DIN relation are not well understood. In this study, the exports and relations of DOC-DIN in 42 Taiwan small mountainous rivers (SMRs) were investigated. The results showed that the inverse DOC-NO3- relation only appears under low-oxygenated conditions in highly-disturbed watersheds. The understanding of the mechanism driving C\\N coupling is crucial for assessing ecosystem function.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
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)