Article
Environmental Sciences
Xiaocheng Liu, Chenming Zhang, Yue Liu, Congrui Li, Chengji Shen, Pei Xin, Ling Li, David A. Lockington
Summary: This study investigates the mechanisms underlying the development of salt flats in elevated areas of coastal wetlands through sand flume experiments and numerical modeling. It is found that salt precipitation occurs on the soil surface with low water content, where hydraulic connection to the saline groundwater table is maintained. This connection is necessary for evaporation to promote upward porewater flow and bring salt to the surface. However, the surface salinity level decreases with increasing surface saturation due to the density-driven removal of salt. Numerical simulations confirm this salt removal process, with the intensity of density-driven flow mainly dictated by soil permeability in the unsaturated zone.
WATER RESOURCES RESEARCH
(2023)
Article
Environmental Sciences
Lingxiao Wang, Lin Zhao, Huayun Zhou, Shibo Liu, Guangyue Liu, Defu Zou, Erji Du, Guojie Hu, Chong Wang
Summary: This study used remote sensing and SAR techniques to monitor terrain deformation in the source region of the Yangtze River, assess the release of ground ice meltwater, and evaluate water storage in the active layer. The results indicate widespread ground ice melting in the region, but the water release rate is relatively small. The findings provide a data basis for understanding the impact of permafrost thawing on the water cycle in the region.
WATER RESOURCES RESEARCH
(2023)
Article
Environmental Sciences
Hexiang Chen, Zhongtian Zhang, Guangqiu Jin, Hongwu Tang, Siyi Zhang, Qi Zhang
Summary: Seasonal lakes are affected by the seasonal water level fluctuations and play an important ecological function. The exchange of solutes between seasonal lakes and main lakes is determined by the water level, and permanent hydrological isolation increases the solute concentration in seasonal lakes. The solute source in main lakes leads to a decrease in solute concentration in seasonal lakes. Higher water level amplitudes result in a greater decrease in solute concentration.
WATER RESOURCES RESEARCH
(2023)
Article
Environmental Sciences
Kewei Chen, Shuai Yang, Eric E. Roden, Xingyuan Chen, Kuang-Yu Chang, Zhilin Guo, Xiuyu Liang, Enze Ma, Linfeng Fan, Chunmiao Zheng
Summary: Uncertainty in CH4 emissions from inland water, especially rivers and streams, is a challenge due to sparse measurements and measurement uncertainty caused by turbulent water flow. This study developed a process-based model using national hydrography dataset to estimate CH4 flux at the air-water interface. The model showed that sediment hydrologic and biogeochemical conditions estimated from the national hydrography dataset can serve as indicators of CH4 emissions from rivers.
WATER RESOURCES RESEARCH
(2023)
Article
Environmental Sciences
A. Jamal, X. Cai, X. Qiao, L. Garcia, J. Wang, A. Amori, H. Yang
Summary: This paper discusses the feasibility of a real-time irrigation scheduling tool (RTIST) based on weather forecasts, field observations, and human-machine interactions. The tool integrates simulation-optimization, data assimilation, and human-computer interaction to improve the accuracy and applicability of irrigation scheduling. Farmers' direct engagement in the modeling process increases productivity and leads to more accurate state estimations and higher profits compared to traditional techniques and practices.
WATER RESOURCES RESEARCH
(2023)
Article
Ecology
R. M. Connolly, K. Jinks, A. Shand, M. D. Taylor, T. F. Gaston, A. Becker, E. L. Jinks
Summary: This study uses deep learning to process and analyze acoustic data and proposes an automated underwater acoustic data analysis tool that can accurately detect and count fish populations with high reliability and accuracy. In future research, it is suggested to expand the testing range and automate species identification and counts.
Article
Ecology
Vaishnavi Parab, Jyoti Jagdish Prajapati, Samya Karan, Amiya Ranjan Bhowmick, Joyita Mukherjee
Summary: This study presents an approach to assess the risk of extinction for the Near Threatened fish species Notopterus chitala in the near future. The role of abiotic factors and heavy metal levels in their natural habitat is also examined. Three different statistical models were used to estimate the probability of extinction, covering a wide range of methods from regression to deep learning. The analysis showed that the current trend indicates a high risk of extinction for the species in all three habitats studied. However, the abiotic factors do not have a negative impact on the declining population, except for salinity. The study also investigated the influence of heavy metal pollution on the population decline and found that only lead, mercury, and chromium have some control over the species' decline. Abiotic factors and pollution are not the key parameters for the population decline of Notopterus chitala in its natural habitat.
Article
Environmental Sciences
Cristina Deidda, Sebastian Engelke, Carlo De Michele
Summary: This article introduces the concept of extremal dependence and the limitations of traditional symmetric dependence measures. It proposes a new measure called asymmetric tail Kendall's tau to capture asymmetry in extreme events. The effectiveness of this measure is demonstrated through theoretical analysis, simulation experiments, and a case study on river networks in the United Kingdom. The study highlights the importance of measuring asymmetric extremal dependence in hydrology.
WATER RESOURCES RESEARCH
(2023)
Article
Environmental Sciences
Jia-Qing Zhou, Wen-Yu Zhu, Qi-Long Li, Rui Wang, Changdong Li, Dongming Gu, Jiao Wang
Summary: This study investigates the thermal-hydraulic (TH) coupling behavior of ice-rich moraine soils in cold alpine regions, and reveals their phased and nonlinear evolutionary features. The study also develops empirical formulas and discrimination models to predict the equilibrium states and critical times of the moraine soil system. These findings deepen our understanding of TH coupling behavior and serve as a basis for characterizing geohazard evolution in cold alpine regions.
WATER RESOURCES RESEARCH
(2023)
Article
Environmental Sciences
Elisa Bozzolan, Andrea Brenna, Nicola Surian, Patrice Carbonneau, Simone Bizzi
Summary: Machine learning algorithms applied on Sentinel 2 images provide an opportunity to automatically classify and monitor fluvial geomorphic feature dynamics. In this study, the significance of spatial and temporal resolution in geomorphic research was analyzed in the context of the Sesia River. The results show that the active channel trajectory derived from Sentinel 2 images is robust and can effectively capture the river geomorphic response.
WATER RESOURCES RESEARCH
(2023)
Article
Environmental Sciences
Eunsaem Cho, Ebrahim Ahmadisharaf, James Done, Chulsang Yoo
Summary: This study proposed a framework for evaluating multivariate return periods of hurricanes and demonstrated its applicability through a case study. The framework allows for estimation of univariate, bivariate, and trivariate return periods of hurricanes, and generates return period maps. The study also discusses sources of uncertainty and highlights the importance of the framework and results in disaster response and recovery.
WATER RESOURCES RESEARCH
(2023)
Article
Engineering, Environmental
Md. Nahid Pervez, Mst. Monira Rahman Mishu, Naim Pervez Tanvir, Md Eman Talukder, Yingjie Cai, Felix Y. Telegin, Yaping Zhao, Vincenzo Naddeo
Summary: This research examines the effectiveness of Fenton catalytic reactions in degrading various commercial azo dyes. The study finds that factors such as molecular weight and functional groups play a significant role in the degradation efficiency of the dyes. The research also includes theoretical quantum calculations to determine the relationship between dye structure and degradation efficiency. The findings highlight the importance of considering dye structure in the Fenton process for wastewater treatment.
WATER ENVIRONMENT RESEARCH
(2023)
Article
Environmental Sciences
Marwan A. Hassan, Wenqi Li, Enrica Viparelli, Chenge An, Alexander J. Mitchell
Summary: Channel stability and sediment transport in gravel bed streams are influenced by fluid forces, bed surface structures, armoring, and sediment supply/storage. This study focuses on the impact of sediment supply timing on bedload transport rate, grain size distribution, and channel morphology. Flume experiments were conducted with five different sediment feeding schemes. Results showed that sediment transport rates varied over five orders of magnitude regardless of the feeding scheme. Clockwise hysteresis was observed for bedload transport rate and grain size, indicating higher transport rate and coarser grain size during the rising limb. Counterclockwise hysteresis was observed for the grain size distribution of the bed surface, suggesting that the bed surface was finest during the rising limb. Sediment yield during the rising limb was higher than during the falling limb, indicating the importance of sediment supply timing in sediment transport. This study provides valuable insights for sediment supply projects in restoring gravel bed streams.
WATER RESOURCES RESEARCH
(2023)
Article
Environmental Sciences
J. Ackerer, S. Kuppel, I. Braud, S. Pasquet, O. Fovet, A. Probst, M. C. Pierret, L. Ruiz, T. Tallec, N. Lesparre, S. Weill, C. Flechard, J. L. Probst, J. Marcais, A. Riviere, F. Habets, S. Anquetin, J. Gaillardet
Summary: An integrated ecohydrological modeling approach was used to investigate how the heterogeneity of the critical zone modulates the water cycle within territories. The study revealed that the geological history determines the water storage in watersheds, and this storage is modulated by recent changes in landscape settings.
WATER RESOURCES RESEARCH
(2023)
Article
Engineering, Environmental
Birthe K. Stricker, Dana A. Tamim, Dorothea Rechtenbach, Joachim Behrendt, Ralf Otterpohl
Summary: This study investigated the biological treatment of nanofiltration effluent under different conditions to eliminate micropollutants. The results showed that gabapentin, iomeprol, and metoprolol had high elimination rates under both aerobic and nitrate-denitrifying conditions, while diclofenac had a higher elimination rate with longer hydraulic retention time. The elimination of sulfamethoxazole was influenced by the treatment condition.
WATER ENVIRONMENT RESEARCH
(2023)
Article
Limnology
Tobia Politi, Mindaugas Zilius, Marco Bartoli, Ulisse Cardini, Ugo Marzocchi, Stefano Bonaglia
Summary: Sediment macrofauna, specifically holobionts, play an important role in sustaining aquatic food webs and biogeochemical cycles. This study investigates the direct contribution of different taxa of macrofauna holobionts to methane (CH4) fluxes. The results show that deep burrowing infauna and deposit feeders contribute to the highest CH4 production, while epifauna and filter feeders promote oxidative CH4 consumption. Salinity was found to inversely correlate with CH4 production by macrofauna holobionts.
LIMNOLOGY AND OCEANOGRAPHY LETTERS
(2023)
Article
Environmental Sciences
Sam Anderson, Valentina Radic
Summary: Heatwaves not only have wide-ranging impacts on various aspects, including human health and agriculture, but also control streamflow through the melting of snow and glacier ice. This study uses a deep learning hydrological model to simulate the streamflow response to heatwaves in southwestern Canada and finds that glaciers can buffer the impacts of heatwaves on streamflow.
WATER RESOURCES RESEARCH
(2023)
Article
Engineering, Environmental
Yi Cao, Zihao Cui, Glen T. Daigger
Summary: The ongoing commercialization and installation of full-scale membrane aerated biofilm reactors (MABRs) stimulate the increasing need to monitor biofilm development. Biofilm thickness in MABRs can be indirectly assessed by plotting the exhaust oxygen purity versus bulk ammonia concentration, defined as the MABR fingerprint soft sensor. Results show that the continuously decreasing trend of the MABR fingerprint plot slopes can be employed as a useful signal for biofilm thickness control in nitrogen removal processes.
WATER ENVIRONMENT RESEARCH
(2023)
Article
Ecology
Anh Ngoc Thi Do, Hau Duc Tran
Summary: This study used novel modeling techniques to investigate the distribution patterns of fish larvae and juveniles in the Ba Lat estuary of the Red River in Vietnam. The occurrences of these early fish stages were found to be inversely related to environmental factors and strongly influenced by temporal and spatial changes in the estuary. Artificial neural network (ANN) models were found to be the most effective in predicting the distribution of fish larvae and juveniles. The results suggest that ANN models can be used to forecast the occurrences of early fish stages in estuaries in tropical regions.
Article
Engineering, Environmental
Neil E. Coughlan, Daniel Maguire, Abin Abraham Oommen, Cian Redmond, Rachel O'Mahoney, Eamonn Walsh, Holger Kuhnhold, Edmond P. Byrne, Fatemeh Kavousi, Alan P. Morrison, Marcel A. K. Jansen
Summary: Duckweed species (Lemnaceae) are suitable for the remediation and valorization of wastewaters. However, industrial applications require space efficient cultivation methods. This paper describes the development and operation of an indoor, multi-tiered duckweed bioreactor. It is envisaged that these bioreactors can be integrated into the wastewater treatment systems of agri-feed industries.
WATER ENVIRONMENT RESEARCH
(2023)
