Article
Geochemistry & Geophysics
Jisha John, N. R. Chithra, Santosh G. Thampi
Summary: Anthropogenic interventions have altered the natural environment and one of the main drivers of change is land use-land cover (LULC). This study analyzed the impact of LULC dynamics on land surface temperature (LST) in the Bharathapuzha river basin in Kerala, India from 1990 to 2017, showing a close relationship between LST and changes in LULC.
Article
Mathematics
Olga Bureneva, Nikolay Safyannikov, Zoya Aleksanyan
Summary: This paper presents the application of singular spectrum analysis (SSA) method in the analysis of tremorograms to evaluate the state of the motor parts of the central nervous system. By using singular spectrum decomposition and grouping algorithm, significant features from tremorograms are successfully extracted, showing reasonable correspondence with traditional methods.
Article
Engineering, Environmental
Muhammad Mohsin, Juergen Pilz
Summary: Extreme weather changes globally lead to disasters like droughts. Developing probability models and long-term planning can reduce the detrimental effects of droughts. A new model for predicting interarrival times of droughts is proposed in this paper based on Bivariate Affine-Linear Exponential distribution, with reliable forecasting and estimation of return periods for future planning.
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
(2021)
Article
Engineering, Environmental
Kuldeep Singh Rautela, Dilip Kumar, Bhishm Singh Khati, Amit Rawat, Amit Kumar Dubey
Summary: This study assessed the water quality of Himalayan rivers using multivariate statistical analysis and found that human activities and natural factors have a significant impact on the water quality index. The findings of this study are important for future research and policy decisions.
WATER SCIENCE AND TECHNOLOGY
(2023)
Article
Environmental Sciences
Sachintha Senarathne, Jayawardana Mudiyanselage Chandramali Kumari Jayawardana, Edirisinghe Appuhamilage Nandana Viraj Edirisinghe, Rohana Chandrajith
Summary: The study used hydrogeochemical and stable isotope analysis to identify the geochemical differences of groundwater in the Walawe river basin, with the dry zone characterized by higher dissolved mineral content and the predominant water type being Ca-HCO3. Isotope data indicated that groundwater recharge mainly comes from northeast monsoon rain, with direct infiltration prominent in wet zones and evaporation-dominated modifications in dry zones.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Article
Engineering, Electrical & Electronic
Luiz Paulo O. Sousa, Katia L. Fukushima, Vanessa P. Scagion, Murilo H. M. Facure, Daniel S. Correa, Juliano E. Oliveira, Danton D. Ferreira
Summary: Electronic tongues are sensors inspired by biological recognition systems, used to determine flavors or substances in samples. The sensor arrays are generally non-specific, requiring data processing techniques for specific information. Principal curves can be a promising technique for analyzing electronic tongues data.
IEEE SENSORS JOURNAL
(2021)
Article
Environmental Sciences
Gajendran Chellaiah, Ramamoorthy Ayyamperumal, Basker Rengaraj, Gnanachandrasamy Gopalakrishnan, Venkatramanan Senapathi, Chengjun Zhang, Xiaozhong Huang
Summary: This research develops metrics for groundwater quality assessment using a multi-proxy approach. The study collected and analyzed groundwater samples from Tamirabarani river basin, comparing them with national and international standards. The results show higher concentrations of calcium and chloride ions, possibly due to regional point sources and agricultural practices. Principal component analysis indicates that the post-monsoon season explains a significant proportion of the variance. The dominance of certain anions and cations suggests significant degradation of groundwater quality in the region, resulting from urban pollutants and unprotected river sites.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Engineering, Industrial
Matthew P. Mavor, Kristina M. Gruevski, Gwyneth B. Ross, Mohammadhossein Akhavanfar, Allison L. Clouthier, Linda L. M. Bossi, Thomas Karakolis, Ryan B. Graham
Summary: Presented in this study is a framework that uses pattern classification methods to incrementally morph whole-body movement patterns to investigate the impact of personal and load characteristics on survivability tradespace. The results reveal that personal characteristics have a significant impact on the tradespace when carrying heavy loads. Military leaders can make decisions based on objective information using this framework, thus improving operational readiness and mission success.
APPLIED ERGONOMICS
(2022)
Article
Environmental Sciences
Huayue Chen, Tingting Wang, Tao Chen, Wu Deng
Summary: Researchers propose a novel HSI classification network called MS-RPNet, which effectively addresses spectral uncertainty in hyperspectral images. This network combines superpixel-based S-3-PCA and 2D-SSA based on RPNet to utilize global and local spectral knowledge for classification, and extracts final features through random patch convolution and other steps, followed by SVM classification.
Article
Ecology
Michael L. Collyer, Dean C. Adams
Summary: Phylogenetically aligned component analysis (PACA) is a new ordination approach that aligns phenotypic data with phylogenetic signal, allowing visualization of trends in phylogenetic signal in multivariate data spaces. By maximizing variation in directions that describe phylogenetic signal, PACA can distinguish between weak and strong phylogenetic signals, providing a more precise description of the phylogenetic signal in studies focused on phylogenetic signal. Comparing PACA and Phy-PCA results can help determine the relative importance of phylogenetic and other signals in the data.
METHODS IN ECOLOGY AND EVOLUTION
(2021)
Article
Astronomy & Astrophysics
Carl J. Talsma, Katrina E. Bennett, Velimir V. Vesselinov
Summary: This study uses climate simulations to predict drought indicators in the Colorado River Basin (CRB) and applies an unsupervised machine learning approach to analyze the results. The findings suggest that the CRB will face increasing water scarcity and evaporative demand under climate change. Significant changes in peak runoff are observed in snowmelt-dominant sub-watersheds, with some sub-watersheds experiencing the complete disappearance of the snowmelt signal. This research demonstrates the utility of the unsupervised ML approach in analyzing hydro climate model results and understanding the potential impacts of drought.
EARTH AND SPACE SCIENCE
(2022)
Article
Geosciences, Multidisciplinary
Bing Yu, Zhihua Shi, Yu Zhang
Summary: This study quantitatively evaluates the effects of hydrological and landscape characteristics on suspended sediment concentration and discharge hysteresis. It is found that precipitation, suspended sediment, area of grassland, and the largest patch area have significant impacts on hysteresis dynamics.
Article
Water Resources
Lin Zhang, Yunzhong Shen, Qiujie Chen, Fengwei Wang
Summary: By constructing the water storage deficit index (WSDI), the extreme flood event in the Pearl River Basin during the 2014-2016 super El Nin & SIM; o period was analyzed. The results showed that the flood was mainly influenced by the super El Nin & SIM; o and enhanced by the Tropical Indian Ocean sea surface temperature anomaly. The correlation analysis revealed the underlying influence mechanisms.
JOURNAL OF HYDROLOGY-REGIONAL STUDIES
(2023)
Article
Engineering, Mechanical
Ya Huang, Neil Ferguson
Summary: This study analyzed dynamic forces measured during whole-body vibration, focusing on cross-axis response and source identification. The results showed correlations between inline longitudinal and cross-axis vertical forces at lower to medium frequency ranges, while above this range the forces tended to be independent. Proposed signal processing framework considers cross-axis responses in human vibration.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2021)
Article
Geosciences, Multidisciplinary
Mu Xiao, Dennis P. Lettenmaier
Summary: The study utilized a macroscale hydrology model and an atmospheric river catalog to evaluate snow accumulation in the Upper Colorado River basin affected by atmospheric rivers. It was found that most atmospheric rivers affecting UCRB first pass through the Sierra Nevada region, resulting in greater snow accumulation there.
GEOPHYSICAL RESEARCH LETTERS
(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)