Article
Environmental Sciences
Seyedeh Mona Tabandeh, Majid Kholghi, Seyed Abbas Hosseini
Summary: Groundwater quality management relies on assessing the spatial distribution of parameters to determine suitability for use. Different interpolation methods were evaluated in two shallow aquifers, with the nonlinear Log_OK method showing promising performance in both aquifers with different hydrogeological characteristics.
ENVIRONMENTAL EARTH SCIENCES
(2021)
Article
Environmental Sciences
Huda M. Al-Mayahi, Alaa M. Al-Abadi, Alan E. Fryar
Summary: The Dammam Formation in the southern and western deserts of Iraq is an important aquifer with a large groundwater reserve suitable for various uses. The drilling of groundwater wells in the Karbala-Najaf plateau and neighboring areas often fails due to contamination from hydrocarbons in deep oil reservoirs. This study proposes a method for spatial delineation of groundwater contamination in the aquifer, utilizing machine learning classifiers to map contamination probability.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Article
Environmental Sciences
B. K. Okuhata, J. M. S. Delevaux, A. Richards Dona, C. M. Smith, V. L. Gibson, H. Dulai, A. I. El-Kadi, K. Stamoulis, K. M. Burnett, C. A. Wada, L. L. Bremer
Summary: Groundwater dependent ecosystems (GDEs) are crucial for sustainable groundwater management but are threatened by multiple environmental changes. This study uses a land-sea modeling framework to assess the impact of climate and land use change on submarine groundwater discharge (SGD) and habitat suitability for two macroalgae in nearshore GDEs in Hawai'i. The results show that protecting native forests can partially mitigate the decline in habitat suitability caused by climate and land use change, while reductions in SGD may favor the growth of an invasive macroalgae. This study highlights the importance of considering multiple drivers of environmental change on GDEs and informs management actions.
WATER RESOURCES RESEARCH
(2023)
Article
Environmental Sciences
Daniela Alvarado-Zambrano, Jose R. Rivera-Hernandez, Carlos Green-Ruiz
Summary: The first study on microplastics in Latin America was conducted in a highly permeable coastal aquifer in Northwest Mexico. A total of 330 microplastics were found in the samples, with an average concentration of 18.3 particles/L. Four synthetic polymers were identified, with isotactic polypropylene being the most abundant. Agriculture activities and septic outflows were identified as potential sources of microplastics in the aquifer. Further research is needed to understand the occurrence, concentration, and distribution of microplastics in groundwater and their potential health risks to organisms, including human beings.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Environmental Sciences
Soumya Kanta Nayak, Janardhana Raju Nandimandalam
Summary: Rise in sea level and storm surges, along with indiscriminate exploitation of groundwater along coastal regions, has led to seawater intrusion and heavy metal contamination in the groundwater. This study in Odisha, India investigated the heavy metal contamination and associated risks in coastal groundwater, finding that the high concentrations of heavy metals and salinity in the groundwater were mainly due to the mixing of seawater and agricultural practices. The study highlighted the importance of sustainable coastal groundwater management and the need for appropriate measures to mitigate the risks.
ENVIRONMENTAL RESEARCH
(2023)
Article
Green & Sustainable Science & Technology
Jingchao Liu, Jin Wu, Shaowei Rong, Yanna Xiong, Yanguo Teng
Summary: This study constructed an evaluation system to assess groundwater vulnerability and pollution load in karst areas, displaying contamination risk through a risk map. Findings showed that vulnerability was at a medium level, with high pollution load in industrial parks and pollution-source-gathering areas.
Article
Environmental Sciences
Ajit Kumar Behera, Rudra Mohan Pradhan, Sudhir Kumar, Govind Joseph Chakrapani, Pankaj Kumar
Summary: Despite being a biodiversity hotspot, the Mahanadi delta is facing groundwater salinization as one of the main environmental threats in the recent past. This study uses numerical simulation to understand groundwater dynamics and sustainable management options in the Jagatsinghpur deltaic region. The study finds that groundwater is extensively abstracted for agricultural activities, leading to depletion of groundwater levels. The calibrated numerical model reveals variations in net groundwater recharge and outflow in the study area.
Article
Water Resources
Krzysztof Dragon
Summary: This study examines the groundwater flow patterns and chemistry in the studied recharge zone of Quaternary aquifers in Poland. It found that water extraction influences groundwater contamination, leading to different chemistry in deep and shallow parts of the aquifer. The research highlights the importance of using groundwater chemistry to understand groundwater flow systems.
JOURNAL OF HYDROLOGY-REGIONAL STUDIES
(2021)
Article
Environmental Sciences
Zhongyuan Xu, Jayaram Hariharan, Paola Passalacqua, Elisabeth Steel, Austin Chadwick, Chris Paola, Anner Paldor, Holly A. Michael
Summary: This study investigates the vulnerability of coastal deltaic aquifers to seawater intrusion, contamination, and groundwater abstraction, as well as the impact of surface deposition changes on the distribution and transport of groundwater solutes. By simulating groundwater flow and solute transport under different contamination scenarios, the research reveals that the vulnerability of deltaic aquifers to seawater intrusion is correlated with sand fraction, and vertical transport of contaminants is influenced by channel stacking patterns.
WATER RESOURCES RESEARCH
(2022)
Review
Green & Sustainable Science & Technology
Abhay Guleria, Pankaj Kumar Gupta, Sumedha Chakma, Brijesh Kumar Yadav
Summary: Dense nonaqueous phase liquid (DNAPL) beyond the permissible limit in the subsurface environment threatens human health and ecological services. Accurate prediction of DNAPL concentration and mass fluxes can be achieved using robust fate and transport mathematical models. This study evaluated 412 articles published from 1990 to 2022 to provide an overview of DNAPL transport research trends, particularly fate and transport models, through bibliometric analysis. Major findings discussed include the influence of study scale and modeling framework, relationships of governing parameters, and recent developments in mathematical models. The USA and Canada were identified as leading countries in DNAPL fate and transport research.
Article
Geosciences, Multidisciplinary
Wei Han, Ruifeng Zhao, Wanrong Liu, Yujing Wang, Shuai Zhang, Kang Zhao, Jinglei Nie
Summary: China possesses abundant lead-zinc mineral resources, but mining activities often result in severe heavy metal contamination. This study comprehensively evaluated the contamination levels of eight heavy metals in mine tailings, soil, and groundwater from 27 contaminated sites in China. The levels of contamination were assessed using various indices, and the results showed high concentrations of Zn, Pb, and Cd, posing significant environmental risks. The study also highlighted the correlation between heavy metal content in soil, groundwater, and mine tailings, identifying them as the primary pollution sources and transport pathways. The findings provide valuable insights for assessing the pollution levels in lead-zinc mining regions and guiding the remediation activities for abandoned mining and tailings in China.
FRONTIERS IN EARTH SCIENCE
(2023)
Article
Environmental Sciences
Kun Ren, Xiaodong Pan, Cong Peng, Jianyao Chen, Jun Li, Jie Zeng
Summary: The study used multi-tracer tests and chemical/isotopic analyses to identify and confirm contaminant sources in a complex karst aquifer in Southwest China. Results showed that the wastewater from a paper mill, public sewers, and septic tanks were the main sources of contamination. The study also revealed the complex nature of the aquifer, with contaminants traveling a long distance and crossing a river. The implementation of groundwater restoration measures based on karst hydrogeologic conditions effectively reduced contaminant concentrations and improved water quality.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2023)
Article
Environmental Sciences
Evangelos Tziritis, Vasilios Pisinaras, Andreas Panagopoulos, Georgios Arampatzis
Summary: The RIVA method is a reliable approach for assessing intrinsic groundwater vulnerability, requiring minimal data and advanced skills, making it suitable for various geological conditions.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Article
Water Resources
M. O. Awoyemi, O. D. Ajama, S. A. Adekola, A. B. Arogundade, C. D. Fashina, G. O. Akinlade, J. A. O. Oyekunle
Summary: The study focused on investigating groundwater and subsoil contamination within the coastal aquifers of Arogbo in Ondo State, Nigeria. The results showed that the aquifer is shallow with water table depths ranging from 0.37 to 1.20 m, and the water quality has been greatly impaired by contaminants such as iron, manganese, and brackish water. The study concluded that terrestrial sources of iron and manganese were the major contaminants responsible for the high level of coloration of surface water and groundwater in the area, posing serious health hazards to residents.
JOURNAL OF HYDROLOGY-REGIONAL STUDIES
(2021)
Article
Environmental Sciences
Chandrashekhar Bhagat, Pranab Kumar Mohapatra, Manish Kumar
Summary: The study reveals that the Gujarat coastal region is facing water crises and aquifer salinization issues, with seawater intrusion heavily influencing groundwater quality and a probability of submarine groundwater discharge. Recommendations include the feasibility of check dams as a remedial measure to control coastal aquifer salinization.
MARINE POLLUTION BULLETIN
(2021)
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)