4.7 Article

Groundwater discharge along a channelized Coastal Plain stream

Journal

JOURNAL OF HYDROLOGY
Volume 360, Issue 1-4, Pages 252-264

Publisher

ELSEVIER SCIENCE BV
DOI: 10.1016/j.jhydrol.2008.06.026

Keywords

channelization; Coastal Plain; discharge; groundwater; Kentucky

Funding

  1. US Department of Energy (DOE)
  2. Geological Society of America Southeastern Section
  3. UK Graduate School
  4. UK Department of Earth and Environmental Sciences

Ask authors/readers for more resources

In the Coastal Plain of the southeastern USA, streams have commonly been artificially channelized for flood control and agricultural drainage. However, groundwater discharge along such streams has received relatively little attention. Using a combination of stream- and spring-flow measurements, spring temperature measurements, temperature profiling along the stream-bed, and geologic mapping, we delineated zones of diffuse and focused discharge along Little Bayou Creek, a channelized, first-order perennial stream in western Kentucky. Seasonal variability in groundwater discharge mimics hydraulic-head fluctuations in a nearby monitoring well and spring-discharge fluctuations elsewhere in the region, and is likely to reflect seasonal variability in recharge. Diffuse discharge occurs where the stream is incised into the semi-confined regional gravel aquifer, which is comprised of the Mounds Gravel. Focused discharge occurs upstream where the channel appears to have intersected preferential pathways within the confining unit. Seasonal fluctuations in discharge from individual springs are repressed where piping results in bank collapse. Thereby, focused discharge can contribute to the morphological evolution of the stream channel. (C) 2008 Elsevier B.V. All. rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Computer Science, Interdisciplinary Applications

Equipment activity recognition and early fault detection in automated construction through a hybrid machine learning framework

Aparna Harichandran, Benny Raphael, Abhijit Mukherjee

Summary: This study proposes a framework called hybrid unsupervised and supervised machine learning (HUS-ML) for equipment activity recognition and fault detection. The framework identifies normal operations and known faulty conditions through supervised learning, and utilizes an anomaly detection algorithm to spot unseen faulty conditions. Experimental results demonstrate the superiority of HUS-ML in activity recognition and fault detection, with successful identification of known and unseen faulty operations.

COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING (2023)

Article Environmental Sciences

Prediction of groundwater level variations based on gravity recovery and climate experiment (GRACE) satellite data and a time-series analysis: a case study in the Lake Urmia basin, Iran

Hawzhin Zarinmehr, A. Taheri Tizro, Alan E. Fryar, M. Khodamorad Pour, Rojin Fasihi

Summary: This study investigated the temporal changes of groundwater levels and applied various parametric time-series models to the data. The PROPHET model showed the best performance in predicting the declining trend of groundwater levels in the Lake Urmia basin.

ENVIRONMENTAL EARTH SCIENCES (2022)

Article Geosciences, Multidisciplinary

Influence of hydrostratigraphy on the distribution of groundwater arsenic in the transboundary Ganges River delta aquifer system, India and Bangladesh

Madhumita Chakraborty, Abhijit Mukherjee, Kazi Matin Ahmed, Alan E. Fryar, Animesh Bhattacharya, Anwar Zahid, Raja Das, Siddhartha Chattopadhyay

Summary: This study developed a high-resolution, regional-scale hydrostratigraphic model of the Ganges River delta and analyzed the distribution patterns of arsenic (As) as a function of the hydrostratigraphy. The results revealed that the hydrostratigraphy is spatially variable and can be divided into three distinct aquifer subsystems. The spatial distribution of As differs in each subsystem, and the aquitards in the subsystems act as natural barriers to the infiltration of As to deeper aquifer zones.

GEOLOGICAL SOCIETY OF AMERICA BULLETIN (2022)

Article Construction & Building Technology

Biocement treatment for upcycling construction and demolition wastes as concrete aggregates

Abhijit Mistri, Navdeep Dhami, Sriman Kumar Bhattacharyya, Sudhirkumar Barai, Abhijit Mukherjee

Summary: Reutilising construction and demolition waste as aggregate in concrete is sustainable and prevents depletion of natural resources. Bio-treatment of recycled coarse aggregate has been shown to improve the drawbacks caused by attached mortar, and is more cost-effective than conventional cement slurry treatment.

MATERIALS AND STRUCTURES (2022)

Article Chemistry, Inorganic & Nuclear

Use of isotopes in examining precipitation patterns in north-central Ukraine

Elizabeth Avery, Olena Samonina, Lidiia Kryshtop, Iryna Vyshenska, Alan E. Fryar, Andrea M. Erhardt

Summary: North-central Ukraine is vulnerable to climate change impacts, including temperature increases and precipitation pattern changes. Analysis of oxygen and hydrogen isotope ratios in precipitation provides valuable information on water sources and moisture recycling in the region. The study found a correlation between precipitation patterns and temperature, suggesting that rising temperatures may affect rainfall. The research also identified relationships between water isotope ratios, storm paths, and moisture recycling, improving precipitation forecasts in Ukraine.

ISOTOPES IN ENVIRONMENTAL AND HEALTH STUDIES (2022)

Article Construction & Building Technology

Non-destructive monitoring of incipient corrosion in reinforced concrete with top-bar defect using a combination of electrochemical and ultrasonic techniques

Yikuan Wang, Abhijit Mukherjee, Arnaud Castel

Summary: This paper proposes a combined electrochemical and ultrasonic method for monitoring incipient corrosion in reinforced concrete (RC), and experimental corrosion was induced by accelerated chloride. Through the use of four monitoring techniques and the analysis of results, the progression of corrosion and concrete cracking can be successfully identified and traced.

CONSTRUCTION AND BUILDING MATERIALS (2022)

Article Environmental Sciences

Arsenic enriched groundwater discharge to a tropical ocean: Understanding controls and processes

Poulomee Coomar, Kousik Das, Palash Debnath, Swati Verma, Prerona Das, Ashis Biswas, Abhijit Mukherjee

Summary: This study investigates the role of submarine groundwater discharge in transporting arsenic from the Ganges river delta to the Bay of Bengal. The results reveal the presence of a plume carrying up to 30 μg/L of dissolved arsenic towards the sea. Arsenic distribution and transport are controlled by the Fe-Mn redox cycle and influenced by terrestrial groundwater discharge.

ENVIRONMENTAL POLLUTION (2023)

Article Environmental Sciences

Prediction of elevated groundwater fluoride across India using multi-model approach: insights on the influence of geologic and environmental factors

Soumyajit Sarkar, Abhijit Mukherjee, Madhumita Chakraborty, Md Tahseen Quamar, Srimanti Duttagupta, Animesh Bhattacharya

Summary: Elevated fluoride in groundwater is a serious problem in India, affecting the health of a large population that relies on groundwater. This study explores the relationship between tectonics and fluoride distribution in groundwater using machine learning models. The random forest model is found to be the most accurate, and two high-risk areas are identified.

ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH (2023)

Editorial Material Engineering, Environmental

New Delhi Air Potentially Chokes from Groundwater Conservation Policies in Adjoining Regions

Abhijit Mukherjee, Sachchida Nand Tripathi, Kirpa Ram, Dipankar Saha

ENVIRONMENTAL SCIENCE & TECHNOLOGY LETTERS (2023)

Article Green & Sustainable Science & Technology

Hydrological Functioning and Water Availability in a Himalayan Karst Basin under Climate Change

Shishir K. Sarker, Junfeng Zhu, Alan E. Fryar, Ghulam Jeelani

Summary: Karst springs in the Liddar catchment in northern India were studied to understand their responses to hydrometeorological factors and predict future changes. Statistical time series analysis revealed a moderate karstification and high storage capacity of the karst aquifer, with a memory effect of 43 to 61 days. The machine learning analysis showed that support vector regression outperformed random forest regression in predicting the spring flow, which was found to be more influenced by snow/ice melt than rainfall. The predictions based on climate scenarios indicated an increase in spring flow during late winter to early spring and a decrease in summer and autumn, with further reductions in flow due to increased greenhouse gas emissions.

SUSTAINABILITY (2023)

Article Water Resources

Utilization of Tryptophan-like Fluorescence as a Proxy for E. coli Contamination in a Mixed-Land-Use Karst Basin

Ryan T. Dapkus, Alan E. Fryar, Benjamin W. Tobin, Diana M. Byrne, Shishir K. Sarker, Leonie Bettel, James F. Fox

Summary: This study examined the utility of continuous monitoring of tryptophan-like fluorescence (TLF) as a real-time proxy for E. coli in a karst aquifer. The results showed a positive correlation between TLF and E. coli, but considering the cost and performance, alternative factors such as precipitation, turbidity, and air temperature may be more cost-effective predictors.

HYDROLOGY (2023)

Editorial Material Environmental Sciences

Contesting with the Ganges Water Machine in South Asia: Theory versus Reality

Abhijit Mukherjee, Soumendra N. Bhanja, Matthew Rodell, Yoshihide Wada, Prangaditya Malakar, Dipankar Saha, Alan M. MacDonald

ACS ES&T WATER (2023)

Article Construction & Building Technology

Ultrasonic guided waves for monitoring incipient corrosion in reinforced concrete with top-bar defect

Yikuan Wang, Abhijit Mukherjee, Arnaud Castel

Summary: This study proposes a non-destructive method based on guided ultrasonic waves to monitor corrosion in reinforced concrete with top-bar defect. Through accelerated corrosion experiments and monitoring with guided ultrasonics, the research reveals that top-bar defect significantly influences the corrosion process, and specimens with defects have a significant loss of strength after corrosion exposure.

CEMENT & CONCRETE COMPOSITES (2023)

Article Geosciences, Multidisciplinary

Inorganic Hydrogeochemistry in the 21st Century

Chen Zhu, Alan E. Fryar, John Apps

Summary: Research in hydrogeochemistry has made significant progress in the past two decades, including arsenic contamination in groundwater, the use of isotopic and chemical tracers, chemical reaction kinetics, and the transformation of geochemical modeling. In the future, advancements in technology such as machine learning, cyberinfrastructure, and isotope analytical tools will enable breakthrough research and enhance the role of hydrogeochemistry in addressing climate change and the transition to renewable energies.

GROUNDWATER (2023)

Article Construction & Building Technology

Long-Term Corrosion Monitoring of Bacterially Healed Concrete Using Electrochemical and Ultrasonic Techniques

Nimrat Pal Kaur, Yikuan Wang, Navdeep Kaur Dhami, Abhijit Mukherjee

Summary: Bacterial biocementation has the ability to heal cracks in concrete, but there is a concern about the potential corrosion caused by the materials used. This paper examines the performance of bacterially healed reinforced concrete when exposed to chloride-induced corrosion. Different calcium sources were used for the healing process, and electrochemical techniques and ultrasonic-guided waves were used to assess the state of corrosion. The study found that the presence of electrolytes in the healing fluid affected the electrochemical measurements and gave misleading results, but the ultrasonic-guided waves method provided an accurate assessment of corrosion.

JOURNAL OF MATERIALS IN CIVIL ENGINEERING (2023)

Article Engineering, Civil

Reconstructing high-resolution groundwater level data using a hybrid random forest model to quantify distributed groundwater changes in the Indus Basin

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

Hydrological modelling of large-scale karst-dominated basin using a grid-based distributed karst hydrological model

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

Using a physics-based hydrological model and storm transposition to investigate machine-learning algorithms for streamflow prediction

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

Uncertainty separation of drought projection in the 21st century using SMILEs and CMIP6

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

Quantifying the natural flood management potential of leaky dams in upland catchments, Part II: Leaky dam impacts on flood peak magnitude

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

Forecasting and optimization for minimizing combined sewer overflows using Machine learning frameworks and its inversion techniques

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

Characterizing nitrogen dynamics and their response to sediment dredging in a lowland rural river

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

Using a two-step downscaling method to assess the impact of climate change on total nitrogen load in a small basin

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

Permafrost on the Tibetan Plateau is degrading: Historical and projected trends

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

Quantifying precipitation moisture contributed by different atmospheric circulations across the Tibetan Plateau

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

A methodology to improve the accuracy of Total phosphorous diffuse load estimates from agroforestry watersheds

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

Prediction of dissolved organic nitrogen via spectroscopic fingerprint in the shallow riverbed sediments of effluent-dominated rivers: A case study in Xi'an, northwest China

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

Uncertainty analysis of 100-year flood maps under climate change scenarios

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

Hydrological consequences of controlled drainage with subirrigation

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

Understanding the global success criteria for managed aquifer recharge schemes

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)