Article
Environmental Sciences
Ryan M. Riggs, George H. Allen, Jida Wang, Tamlin M. Pavelsky, Colin J. Gleason, Cedric H. David, Michael Durand
Summary: Long-term, continuous, and real-time streamflow records are crucial for understanding and managing freshwater resources. However, a significant portion of global gauge records are discontinuous and lack real-time data. To fill in the gaps, river width observations from satellite imagery have been used to estimate daily discharge at over 2000 gauge locations worldwide. This method improves our ability to monitor and manage river resources.
ENVIRONMENTAL RESEARCH LETTERS
(2023)
Article
Geography, Physical
Zafar Beg, Kumar Gaurav, Abhilash Singh, Sampat Kumar Tandon
Summary: This study reconstructs the paleohydrology of the Saraswati River, suggesting that rivers with larger catchment areas generally have higher discharges and wider channel belts. By using empirical scaling relationships between channel belt width, catchment area, and average annual discharge of different rivers presently flowing on the Indus-Ganga-Brahmaputra plains, the study estimates the channel belt width and average annual discharge of the lost Saraswati River during a time when it possibly carried the combined flow of the Sutlej, Ghaggar, and Yamuna rivers catchments. The average annual discharge of the Saraswati River is estimated to be around 3000 m3/s with a channel belt width of about 11 km downstream of the postulated confluence of the Sutlej and Yamuna rivers at Suratgarh.
PALAEOGEOGRAPHY PALAEOCLIMATOLOGY PALAEOECOLOGY
(2022)
Article
Environmental Sciences
B. Camenen, N. Gratiot, J-A Cohard, F. Gard, V. Q. Tran, A-T Nguyen, G. Dramais, T. van Emmerik, J. Nemery
Summary: The hydrological dynamics of the Saigon River is influenced by a variety of factors, with this study proposing a low-cost method for estimating river discharge. Seasonal behaviors were observed in both water level and water discharge, with rainfall having little impact on them. Evidence of interactions between precipitation and coastal waters was found.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Multidisciplinary Sciences
Dinesh Kumar Vishwakarma, Alban Kuriqi, Salwan Ali Abed, Gottam Kishore, Nadhir Al-Ansari, Kusum Pandey, Pravendra Kumar, N. L. Kushwaha, Arif Jewel
Summary: Knowledge of stage-discharge rating curve is crucial in water resource system engineering, and developing a reliable curve is essential. This research aimed to optimize the curve using the GRG solver and test the accuracy and applicability of hybridized linear regression models. The results showed that the LR-REPTree model performed superior to other models in all input combinations during the testing period.
Article
Environmental Sciences
Xudong Zhou, Menaka Revel, Prakat Modi, Takuto Shiozawa, Dai Yamazaki
Summary: This study proposes a simple and robust method for correcting river bathymetry by comparing the bias between stage-discharge rating curves. The method is able to reduce the absolute bias compared to traditional methods and is robust to runoff deviations.
WATER RESOURCES RESEARCH
(2022)
Article
Environmental Sciences
Jitendra Kr Vyas, Muthiah Perumal, Tommaso Moramarco
Summary: The application of entropy theory in hydrometric measurements establishes a relationship between maximum and mean flow velocities, and a proposed two-steps approach for discharge estimation based on this relationship shows promising results in both Italy and India. The proposed method proves to be a viable alternative to the traditional velocity-area method, providing accurate discharge estimations with high efficiency values.
WATER RESOURCES RESEARCH
(2021)
Article
Environmental Sciences
M. Darienzo, B. Renard, J. Le Coz, M. Lang
Summary: The method proposed in the study utilizes a Bayesian framework and recursive segmentation to estimate shift times in stage-discharge rating curves, effectively separating observational changes from rating curve uncertainties.
WATER RESOURCES RESEARCH
(2021)
Article
Environmental Sciences
Mahmoud F. Maghrebi, Sajjad M. Vatanchi, Kiyosi Kawanisi
Summary: In water resource studies, long-term measurements of river streamflow are essential for observing trends and natural cycles and for hydraulic and hydrology models. This paper introduces a new application of the stage-discharge rating curve model to estimate continuous streamflow along the Gono River, Japan. The proposed single stage-discharge (SSD) method only requires one observed data to estimate continuous streamflow, making it suitable for data-scarce regions.
RIVER RESEARCH AND APPLICATIONS
(2023)
Article
Computer Science, Interdisciplinary Applications
Ryan M. Riggs, George H. Allen, Cedric H. David, Peirong Lin, Ming Pan, Xiao Yang, Colin Gleason
Summary: RODEO algorithm, validated with 456 gauges, accurately estimates river discharge and characterizes the uncertainty of RSQ estimates, enabling data assimilation into hydrologic models.
ENVIRONMENTAL MODELLING & SOFTWARE
(2022)
Article
Ecology
Gaurav Kailash Sonkar, Kumar Gaurav, Atul Kumar Rai, Sitaram Taigor, Zafar Beg
Summary: This study evaluates the habitat of the endangered Ganga River dolphin and determines the minimum flow depth required to support its habitat. It uses satellite altimeter data to simulate the hydraulic habitat under different flow conditions and develops a rating curve for water level and discharge. The study shows that altimeter data can be used to estimate river habitat health in data-scarce regions.
Article
Environmental Sciences
Yeonsu Kim, Sungryul Oh, Seungsoo Lee, Jisun Byun, Hyunuk An
Summary: This study examined the applicability of the SFD method in combination with ADVM data at the Sejong-weir on the Geum River in Korea. The experiment found that the SFD rating curve developed using ADVM data showed higher agreement with measured data in terms of hydrograph reconstruction, compared to the conventional simple rating curve, and that uncertainties were higher at lower flow rates for all rating curves.
Article
Environmental Sciences
Jaclyn Gehring, Bhavya Duvvuri, Edward Beighley
Summary: This study presents a method for estimating river discharge using satellite data and river characteristics, and improves the estimation accuracy by optimizing parameters. The results show that the optimized characteristics provide better discharge estimates than using mean discharge.
Article
Engineering, Civil
Chien Pham Van, Giang Nguyen-Van
Summary: This study introduces three models for evaluating water discharge in a river, all of which show good performance in application. Among them, the GRU model proves to be the most effective in estimating water flow rates.
JOURNAL OF HYDRO-ENVIRONMENT RESEARCH
(2022)
Article
Water Resources
Ivan Horner, Jerome Le Coz, Benjamin Renard, Flora Branger, Mickael Lagouy
Summary: Streamflow data measured at hydrometric stations are influenced by uncertainty in water level measurements, which increases as the sensitivity of the stage-discharge controls decreases. The study demonstrates the importance of control sensitivity in reducing the uncertainty of streamflow, especially for low flows. Quantifying this uncertainty component is crucial for optimizing hydrometric station design.
HYDROLOGICAL PROCESSES
(2022)
Article
Environmental Sciences
Fahad Alshehri, Mark Ross
Summary: Depth-discharge rating is an essential tool for evaluating streamflow and managing water resources. This study presents a novel method using available data and normalization techniques to model the depth-discharge relationships in larger or complex areas. The accuracy of the method was evaluated by comparing the generated discharge rating curves with observed data.
Article
Engineering, Environmental
Gourisankar Panda, Krishnendu Kumar Pobi, Supratik Gangopadhyay, Manash Gope, Atul Kumar Rai, Sumanta Nayek
Summary: The study investigates spatial and seasonal variations in potentially toxic element concentrations in groundwater samples from Asansol industrial city and surrounding areas in eastern India. Results show that Pb, Cd, Fe, and Cr concentrations in the groundwater exceed Indian standards, indicating moderate contamination levels. Multivariate statistical analysis suggests PTEs are predominantly derived from anthropogenic activities, and health risk assessment reveals a higher chance of carcinogenic risk due to Cr.
ENVIRONMENTAL GEOCHEMISTRY AND HEALTH
(2022)
Article
Geography, Physical
Zafar Beg, Kumar Gaurav, Abhilash Singh, Sampat Kumar Tandon
Summary: This study reconstructs the paleohydrology of the Saraswati River, suggesting that rivers with larger catchment areas generally have higher discharges and wider channel belts. By using empirical scaling relationships between channel belt width, catchment area, and average annual discharge of different rivers presently flowing on the Indus-Ganga-Brahmaputra plains, the study estimates the channel belt width and average annual discharge of the lost Saraswati River during a time when it possibly carried the combined flow of the Sutlej, Ghaggar, and Yamuna rivers catchments. The average annual discharge of the Saraswati River is estimated to be around 3000 m3/s with a channel belt width of about 11 km downstream of the postulated confluence of the Sutlej and Yamuna rivers at Suratgarh.
PALAEOGEOGRAPHY PALAEOCLIMATOLOGY PALAEOECOLOGY
(2022)
Article
Green & Sustainable Science & Technology
Amit Kumar, Abhilash Singh, Kumar Gaurav
Summary: We used the Soil and Water Assessment Tool (SWAT) to simulate the combined effects of land use/land cover (LU/LC) and climate change on the hydrological response of the Upper Betwa River Catchment (UBRC) in Central India. The results showed changes in LU/LC and observed climate data, and the calibrated model revealed a decrease in rainfall, surface runoff, and percolation in the catchment from 2001-2018 compared to 1982-2000. Additionally, future climate change scenarios suggested a further decrease in rainfall and surface runoff, while percolation had a mixed response in different parts of the catchment.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2023)
Article
Water Resources
Nilabhra Auddy, Atul Kumar Rai, Ashish Shrimali, Krishnendu Kumar Pobi, Subhankar Dutta, Sumanta Nayek
Summary: The influence of natural and anthropogenic factors has significantly impacted surface water quality worldwide. Pichola and Fateh Sagar lakes in Udaipur, India are facing threats from weathering, soil erosion, tourist influx, and drainage outlets. These lakes play a crucial role in meeting the water needs of the surrounding population, agriculture, and tourism.
WATER PRACTICE AND TECHNOLOGY
(2022)
Article
Ecology
Gaurav Kailash Sonkar, Kumar Gaurav, Atul Kumar Rai, Sitaram Taigor, Zafar Beg
Summary: This study evaluates the habitat of the endangered Ganga River dolphin and determines the minimum flow depth required to support its habitat. It uses satellite altimeter data to simulate the hydraulic habitat under different flow conditions and develops a rating curve for water level and discharge. The study shows that altimeter data can be used to estimate river habitat health in data-scarce regions.
Article
Computer Science, Artificial Intelligence
Abhilash Singh, J. Amutha, Jaiprakash Nagar, Sandeep Sharma
Summary: This paper proposes a deep learning architecture based on an artificial neural network for the accurate prediction of the number of k-barriers in intrusion detection and prevention. The model is trained and evaluated using four potential features extracted through Monte Carlo simulation. The results show that the model accurately predicts the number of k-barriers for both Gaussian and uniform sensor distributions, outperforming other benchmark algorithms in terms of accuracy and computational time complexity.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Water Resources
M. Niranjannaik, Amit Kumar, Zafar Beg, Abhilash Singh, Somil Swarnkar, Kumar Gaurav
Summary: This study evaluates the spatial and temporal variations of groundwater level (GWL) in the Betwa River basin in Central India over the past 25 years. The study finds that the GWL in this semi-arid region has gradually decreased, mainly due to overexploitation of groundwater and reduced rainfall. If the current rate of groundwater extraction continues, the basin may face severe depletion in the future.
Article
Multidisciplinary Sciences
Abhilash Singh, Kumar Gaurav
Summary: We proposed a new architecture based on a fully connected feed-forward Artificial Neural Network (ANN) model to estimate surface soil moisture. We extracted nine different features from satellite images and evaluated their importance using regression ensemble tree approach. The ANN model accurately predicted soil moisture and outperformed ten benchmark algorithms. The study's outcomes will contribute to the development of new and existing applications of soil moisture.
SCIENTIFIC REPORTS
(2023)
Article
Water Resources
Nilabhra Auddy, Atul Rai, Sharmistha Chatterjee, Krishnendu Pobi, Subhankar Dutta, Sumanta Nayek
Summary: This study analyzes the spatio-temporal trends in water quality, trophic state, and organic contamination of an alpine lake in the Darjeeling Himalaya through field investigations and multivariate analysis. The study found seasonal variations in water parameters, with acceptable range for inland surface water. Water quality index (WQI) and organic pollution index (OPI) values showed poor to heavily polluted conditions before the monsoon season, with slight improvement during the post-monsoon studies. Trophic state indices (TSIs) values indicated eutrophic to highly eutrophic conditions throughout the investigation period. The study identified three major factors influencing the pollution level in the lake water system: anthropogenic contribution, geogenic or weathering, and seasonal/climatic factors. This study can serve as a benchmark for assessing and implementing management and restoration measures for this emerging alpine ecosystem.
WATER PRACTICE AND TECHNOLOGY
(2023)
Article
Automation & Control Systems
Abhilash Singh, Jaiprakash Nagar, J. Amutha, Sandeep Sharma
Summary: This research introduces a hybrid framework that combines P2CA and GAM algorithms, performing well in various WSN scenarios. The framework accurately predicts the number of barriers in three intrusion detection datasets and outperforms benchmark algorithms. It also demonstrates good adaptability and robustness by accurately predicting response variables in unrelated datasets. The findings have significant implications for reliable network security and protection of sensitive data and critical infrastructure.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2023)
Article
Computer Science, Artificial Intelligence
Jaiprakash Nagar, Sanjay Kumar Chaturvedi, Sieteng Soh, Abhilash Singh
Summary: This study proposes a machine learning approach based on the generalized regression neural network (GRNN) to predict the k-coverage performance of wireless multihop networks (WMNs) placed in a rectangular region. The proposed approach achieves better prediction accuracy and lower computational time complexity compared to existing benchmark algorithms in both scenarios with and without boundary effects (BEs).
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Computer Science, Information Systems
Abhilash Singh, Kumar Gaurav, Gaurav Kailash Sonkar, Cheng-Chi Lee
Summary: This review provides a comprehensive summary of different approaches, including in-situ, remote sensing, and machine learning, to estimate soil moisture. The analysis shows that Time-Domain Reflectometry (TDR) is the most commonly used in-situ instrument, remote sensing is the preferred application, and random forest is the widely applied algorithm. The review also discusses the potential of using NASA-ISRO Synthetic Aperture Radar (NISAR) mission images and physics-informed and automated machine learning models for higher resolution soil moisture prediction.
Article
Automation & Control Systems
Abhilash Singh, Sharad Patel, Vipul Bhadani, Vaibhav Kumar, Kumar Gaurav
Summary: Predicting groundwater levels is crucial for controlling overexploitation and ensuring effective water resource management. Machine learning models can provide valuable insights by understanding the dynamic interaction among nonlinear factors. The introduced automated machine learning framework, AutoML-GWL, accurately maps groundwater levels by selecting the best machine learning model and fine-tuning its hyperparameters. This study demonstrates that AutoML-GWL outperforms other algorithms in groundwater level prediction and shows remarkable stability in spatial distribution and uncertainty analysis.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2024)
Article
Remote Sensing
Abhilash Singh, Mood Niranjan Naik, Kumar Gaurav
Summary: This study uses satellite images and artificial neural network models to assess the effect of structural barriers on drainage congestion and flood inundation in the alluvial Fan of the Kosi River. The results show that soil moisture concentration is higher near the road network and decreases gradually as we move away from the road. This study provides important insights into the impact of structural interventions on drainage congestion and flood inundation.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(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)
