Article
Ecology
Ze Ren, Kang Ma, Xuan Jia, Qing Wang, Cheng Zhang, Xia Li
Summary: Metagenomic analyses were used to investigate the microbial diversity and biogeochemical roles in sediment and water of thermokarst lakes in the Yellow River Source Area. The study found that sediment microbial communities had lower species and gene richness compared to water microbial communities. Functional analyses showed low potential for methanogenesis but strong potential for aerobic respiration, nitrogen assimilation, and phosphorus metabolism in both sediment and water microbial communities. The differences in functional potentials suggest variations in greenhouse gas emission, nutrient cycling, and living strategies between sediment and water microbial communities.
Article
Microbiology
Ze Ren, Cheng Zhang, Xia Li, Kang Ma, Zhe Zhang, Kexin Feng, Baoshan Cui
Summary: The study reveals that sediment and water bacterial communities in thermokarst lakes construct distinct co-occurrence networks, with the water bacterial network being more complex and more responsive to environmental variables, indicating its vulnerability to future climate change.
FRONTIERS IN MICROBIOLOGY
(2021)
Article
Environmental Sciences
Yang Su, Youhua Ran, Guoqing Zhang, Xin Li
Summary: This study utilized remote sensing data to analyze the changes in lake surface area in permafrost regions. The results show an overall increase in lake area, but also indicate that seasonal lake area can both increase and decrease. These changes are most pronounced in low-lying areas, high-density lake regions, and warm permafrost regions, suggesting the significance of thawing or disappearance of permafrost in driving lake changes.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Geosciences, Multidisciplinary
Jing Luo, Fujun Niu, Zhanju Lin, Minghao Liu, Guoan Yin, Zeyong Gao
Summary: This study investigated the changes in thermokarst lakes on the Qinghai-Tibet Plateau using high spatial resolution images. The results showed a significant increase in the number and surface area of thermokarst lakes over the last fifty years, with variations in change among different landform types. The increase in small lakes and expansion of large lakes were the main changes observed, while lake drainage occurred in some gentle slope areas. Climate warming and increased precipitation were identified as the most likely factors driving these changes.
Article
Environmental Sciences
Ze Ren, Wei Luo
Summary: This study provides the first documentation of antibiotic resistance genes (ARGs) in thermokarst lakes of the Yellow River Source Area on the Qinghai-Tibet Plateau (QTP). The results show that both sediment and water samples from the thermokarst lakes harbor diverse ARGs, with multidrug resistance genes being the most diverse and rifamycin resistance genes being the most abundant. The composition of ARGs varies between sediment and water samples, but their variations are closely correlated. Additionally, ARGs in water samples have more significant relationships with environmental variables compared to sediment samples.
ENVIRONMENTAL POLLUTION
(2022)
Article
Engineering, Environmental
Kevin R. Barry, Thomas C. J. Hill, Kathryn A. Moore, Thomas A. Douglas, Sonia M. Kreidenweis, Paul J. DeMott, Jessie M. Creamean
Summary: Permafrost, which covers a significant portion of the Northern Hemisphere, is undergoing changes due to global warming. Recent research has found that permafrost contains ice-nucleating particles (INPs) that can impact the Arctic's surface energy budget by affecting mixed-phase clouds. Experiments simulating the transport of thawed permafrost into seawater showed that older permafrost produced the highest and most stable airborne INP concentrations, comparable to desert dust. This highlights the need to quantify permafrost INP sources and airborne emission mechanisms in climate models.
ENVIRONMENTAL SCIENCE & TECHNOLOGY
(2023)
Article
Environmental Sciences
Oleg S. Pokrovsky, Rinat M. Manasypov, Oksana A. Pavlova, Liudmila S. Shirokova, Sergey N. Vorobyev
Summary: This study quantified the phytoplankton characteristics of 27 thermokarst lakes in the Western Siberia Lowland, revealing that biodiversity was highest in lakes with continuous permafrost and relatively stable across seasons; the biomass and cell number of phytoplankton showed correlations with Dissolved Organic Carbon, phosphate, and some metal micro-nutrients.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Environmental Sciences
K. M. Walter Anthony, P. Lindgren, P. Hanke, M. Engram, P. Anthony, R. P. Daanen, A. Bondurant, A. K. Liljedahl, J. Lenz, G. Grosse, B. M. Jones, L. Brosius, S. R. James, B. J. Minsley, N. J. Pastick, J. Munk, J. P. Chanton, C. E. Miller, F. J. Meyer
Summary: Thermokarst lakes in interior Alaska play a significant role in accelerating permafrost thaw and releasing carbon dioxide and methane, thus contributing to climate warming. The spatiotemporal dynamics of hotspot-seep CH4 emissions provide valuable insights into the impact of abrupt permafrost thaw on climate feedback.
ENVIRONMENTAL RESEARCH LETTERS
(2021)
Article
Environmental Sciences
Guangyue Liu, Lin Zhao, Changwei Xie, Defu Zou, Tonghua Wu, Erji Du, Lingxiao Wang, Yu Sheng, Yonghua Zhao, Yao Xiao, Chong Wang, Yiwei Wang
Summary: The distribution of permafrost is crucial for studying climate, ecology, hydrology, and infrastructure construction in high-cold mountain regions. This study proposes a new method using ground-penetrating radar to detect frozen ground and extract the boundaries of permafrost patches in mountain areas. The results are compared with field survey data and existing distribution maps, showing high consistency. The study reveals the influence of aspect on permafrost distribution in mountain areas.
Article
Geosciences, Multidisciplinary
S. Wetterich, H. Meyer, M. Fritz, G. Mollenhauer, J. Rethemeyer, A. Kizyakov, L. Schirrmeister, T. Opel
Summary: Stable isotopes of wedge ice can help reconstruct past winter climate conditions. Records from Bol'shoy Lyakhovsky Island show that the LGM and MIS 3 had colder winter climates, while the moisture sources were similar during MIS 2.
GEOPHYSICAL RESEARCH LETTERS
(2021)
Article
Geochemistry & Geophysics
Kasia J. Staniszewska, Alberto Reyes, Colin A. Cooke, Brooklyn S. Miller, Robin J. Woywitka
Summary: The impact of permafrost thaw on the fluxes of mercury, methylmercury, and lead in arctic watersheds is still unclear. Through studying the Old Crow River in arctic Canada, it was found that these trace elements were mainly associated with suspended sediment and mobilized during periods of high discharge. However, the widespread presence of thermokarst and thermokarst lakes in the watershed did not result in anomalous concentrations, fluxes, and yields of these trace metals.
Article
Biodiversity Conservation
Andre Pellerin, Noam Lotem, Katey Walter Anthony, Efrat Eliani Russak, Nicholas Hasson, Hans Roy, Jeffrey P. Chanton, Orit Sivan
Summary: The release of methane from thawing permafrost significantly contributes to global methane emissions, and the production rates of methane in different lithological units show small variations. The study demonstrates that at least half of the methane is produced through the microbial breakdown of organic matter, with the majority being produced in the deep sediment.
GLOBAL CHANGE BIOLOGY
(2022)
Article
Biodiversity Conservation
Cuicui Mu, Mei Mu, Xiaodong Wu, Lin Jia, Chenyan Fan, Xiaoqing Peng, Chien-Lu Ping, Qingbai Wu, Cunde Xiao, Jianbao Liu
Summary: This study measured CH4 and CO2 diffusive fluxes in 163 thermokarst lakes in the Qinghai-Tibet Plateau over 3 years, finding that the median carbon emissions were 1440 mg CO2 m(-2) day(-1) and 60 mg CH4 m(-2) day(-1). The diffusive rates of CH4 and CO2 were related to the catchment land cover type, with sediment microbial abundance and hydrochemistry explaining a significant portion of the variance in CH4 emissions. The study highlights the importance of incorporating in situ observation data and considering different emission pathways for predicting future carbon emissions from thermokarst lakes.
GLOBAL CHANGE BIOLOGY
(2023)
Article
Soil Science
Xianmin Ke, Peng Liu, Wei Wang, Jinlong Li, Fujun Niu, Zeyong Gao, Detao Kong
Summary: The spatial variability of vertical hydraulic conductivity (Kv) of lakebed sediments in the Qinghai-Tibet Plateau (QTP) was investigated in this study. The results showed that Kv values had moderate to strong spatial variabilities among different lakes. The grain size d50 had the strongest correlation with Kv, and the relationship between Kv and d50 was quadratic. This research provides valuable information for understanding the properties of lakebed sediments in thermokarst lake regions and can be used as parameters for numerical simulations.
Article
Geosciences, Multidisciplinary
Lydia Stolpmann, Gesine Mollenhauer, Anne Morgenstern, Jens S. Hammes, Julia Boike, Pier Paul Overduin, Guido Grosse
Summary: The Arctic is experiencing rapid warming due to climate change, leading to permafrost thaw and the release of organic carbon. This study analyzes the impact of different landscape components on dissolved organic carbon (DOC) concentrations and export in a small stream catchment in the Lena River Delta. The results show that thermokarst lakes and ponds act as filters for DOC, diluting incoming waters with higher DOC concentrations or re-mineralizing DOC to CO2 and CH4. The study also highlights the significant contribution of a small catchment in transporting DOC from permafrost landscapes to the Lena River.
FRONTIERS IN EARTH SCIENCE
(2022)
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)