Article
Geosciences, Multidisciplinary
Ashebir Sewale Belay, Alemu Yenehun, Fenta Nigate, Wubamlak Nigussie, Seifu A. Tilahun, Mekete Dessie, Michael M. Moges, Margaret Chen, Enyew Adgo, Derbew Fentie, Jan Nyssen, Kristine Walraevens
Summary: This study investigated the occurrence of interbasin groundwater flow (IGF) at the boundary between the Tana and Beles basins in Ethiopia, using a multimethod approach. The results demonstrated the extension of aquifers, high topographic contrast, and high lineament density along the boundary, indicating the presence of IGF from the Tana Basin to the Beles Basin. These findings have practical implications for groundwater and water balance studies in the area.
HYDROGEOLOGY JOURNAL
(2023)
Article
Ecology
Camrin D. Braun, Martin C. Arostegui, Nima Farchadi, Michael Alexander, Pedro Afonso, Andrew Allyn, Steven J. Bograd, Stephanie Brodie, Daniel P. Crear, Emmett F. Culhane, Tobey H. Curtis, Elliott L. Hazen, Alex Kerney, Nerea Lezama-Ochoa, Katherine E. Mills, Dylan Pugh, Nuno Queiroz, James D. Scott, Gregory B. Skomal, David W. Sims, Simon R. Thorrold, Heather Welch, Riley Young-Morse, Rebecca Lewison
Summary: Species distribution models (SDMs) are important tools for marine conservation and management. However, little guidance is available on how to use different data types to build robust models. By comparing SDMs trained with four different data types for the blue shark in the Northwest Atlantic, this study found that all four data types can produce robust models, but differences in spatial predictions highlight the need for ecological realism in model selection and interpretation. Model ensembles and a model trained on all pooled data were more ecologically realistic and effective than individual models. Future work should develop integrative modeling approaches that leverage the strengths of individual data types.
ECOLOGICAL APPLICATIONS
(2023)
Article
Geosciences, Multidisciplinary
Yanchong Li, Lijun Liu, Diandian Peng, Hao Dong, Sanzhong Li
Summary: Traditionally, reconstructions of Earth's past surface kinematics are based on relative plate motions and an assumed absolute reference frame. Recently, deep mantle structures have been used to introduce additional constraints. In this study, the geodynamic and tectonic implications of three recent global plate reconstructions were evaluated, focusing on subduction beneath North America. The results showed diagnostic differences in the present-day slab structures based on these reconstructions, indicating that different reconstructions have different tectonic implications.
EARTH-SCIENCE REVIEWS
(2023)
Article
Oncology
Jason C. Hsu, Phung-Anh Nguyen, Phan Thanh Phuc, Tsai-Chih Lo, Min-Huei Hsu, Min-Shu Hsieh, Nguyen Quoc Khanh Le, Chi-Tsun Cheng, Tzu-Hao Chang, Cheng-Yu Chen
Summary: This study developed a lung cancer survival prediction model based on multiple data types and machine learning algorithms, which demonstrated higher performance compared to previous studies. The important features for predicting lung cancer survival included cancer stage, cancer size, and age of diagnosis.
Article
Environmental Sciences
Xing Chen, Chunlu Jiang, Liugen Zheng, Liqun Zhang, Xianjie Fu, Shigui Chen, Yongchun Chen, Jie Hu
Summary: This study is the first attempt to combine hydrochemical, isotope, and multivariate statistical analysis methods to explore the origin, control, and influence of fluoride enrichment in mining cities. The results show that mineral dissolution, cation exchange, and evaporation are the main driving processes for groundwater salinization in the study area, with mine drainage inputs exacerbating the increasing salinity of the groundwater.
ENVIRONMENTAL POLLUTION
(2021)
Article
Environmental Sciences
Xue Wang, Jiahua Zhang, Lan Xun, Jingwen Wang, Zhenjiang Wu, Malak Henchiri, Shichao Zhang, Sha Zhang, Yun Bai, Shanshan Yang, Shuaishuai Li, Xiang Yu
Summary: This study evaluates the effectiveness of machine learning and deep learning models in large-scale crop classification based on time-series satellite data. The NaE feature outperforms other input features, and the Stacking model achieves the highest accuracy in classifying multiple crop types.
Article
Engineering, Civil
He Wang, Fugang Wang, Jingwei Sun, Zhongle Cheng, Yaohui Wang, Yuqing Cao
Summary: This study focuses on the calculation method of groundwater resource quantity in the Changbai Mountains of Jilin Province, China. A new strategy for the division of GCUs and GCPs is proposed, and the spatiotemporal distribution of groundwater resource quantity for different GCUs and GCPs is calculated. The results provide a scientific basis for groundwater resource development in the study area and offer a new reference strategy for groundwater resource evaluation in similar regions.
JOURNAL OF HYDROLOGY
(2023)
Article
Geosciences, Multidisciplinary
Susanne Charlotta Aberg, Annika Katarina Aberg, Kirsti Korkka-Niemi
Summary: The study indicates that increasing the hydrostratigraphic detail can improve the accuracy and credibility of groundwater flow patterns in modeling.
HYDROGEOLOGY JOURNAL
(2021)
Article
Geography, Physical
Bo Gao, Ethan T. Coon
Summary: Permafrost degradation within a warming climate poses a significant threat to the environment and human communities. This study investigates the impact of commonly made assumptions on permafrost hydrological processes, providing a better understanding for model selection.
Article
Pharmacology & Pharmacy
Dominic M. H. Tong, Jasmine H. Hughes, Ron J. Keizer
Summary: Model-informed precision dosing (MIPD) can aid dose decision-making for neonatal gentamicin, but implementing MIPD in neonates is challenging due to their dynamic development and low blood volume. In this study, we evaluated six published neonatal gentamicin population pharmacokinetic models and found that four of them can be used clinically. These models were further improved through a continuous learning process.
Article
Computer Science, Information Systems
Yingze Song, Degang Yang, Weicheng Wu, Xin Zhang, Jie Zhou, Zhaoxu Tian, Chencan Wang, Yingxu Song
Summary: Landslide susceptibility assessment based on machine learning methods is widely used but often overlooks the problem of imbalanced samples. In this study, we focused on the Wanzhou district in Chongqing city which had a dataset of over 580,000 samples with a positive to negative ratio of 1:19. We balanced the unbalanced landslide samples through oversampling and undersampling, and compared the performance of different machine learning models.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
(2023)
Article
Green & Sustainable Science & Technology
Manuel Arce, Jose Maria Orellana-Macias, Jesus Causape, Javier Ramajo, Carlos Gale, Rudy Rossetto
Summary: This paper uses a numerical model to study the groundwater flow and boundary stability of the Gallocanta watershed, and finds hydrogeological connections with neighboring watersheds. It proposes a larger and unique groundwater body and emphasizes the importance of combining data and traditional geologic knowledge with numerical modeling analysis in groundwater management.
SUSTAINABLE ENVIRONMENT RESEARCH
(2023)
Article
Environmental Sciences
Mohammad Najafzadeh, Farshad Homaei, Sedigheh Mohamadi
Summary: This study examined groundwater quality in the Rafsanjan Plain, Iran, using different Data-Driven Techniques, with Evolutionary Polynomial Regression (EPR) displaying the most accurate predictions of GQI values compared to other models. A reliability-based probabilistic model was utilized to assess GQI values, revealing a high probability of Excellent quality for the entire region, decreasing to around 50% for Good quality, and almost 0% for Poor quality.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Environmental Sciences
Saeideh Samani, Meysam Vadiati, Zohre Nejatijahromi, Behrooz Etebari, Ozgur Kisi
Summary: This study proposed a set of supervised machine learning models and wavelet transform to predict groundwater level changes in the Zarand-Saveh complex aquifer in Iran. The results showed that the hybrid wavelet-machine learning models considerably improved the standalone model results, with the wavelet transform-least square support vector machine model performing the best among all methods.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Psychology, Mathematical
Aaron J-M Lim, Mike W-L Cheung
Summary: This study examined four approaches to handling missing data in CFA models with a mix of continuous and ordinal variables, finding that FIML produced unbiased estimations in most conditions. When sample size was large, fully conditional specification combined with WLSMV was the second best option.
BEHAVIOR RESEARCH METHODS
(2022)
Article
Agronomy
Yang Yang, Yan Zhu, Jingwei Wu, Wei Mao, Ming Ye, Jinzhong Yang
Summary: A new subsurface drainage (SDR) package based on the Hooghoudt equation was developed to accurately simulate the effects of subsurface drainage pipes on groundwater flow and salt dynamics. The accuracy and applicability of SDR were tested through synthetic and field experiments, demonstrating its ability to accurately model leaching water and solute transport. Applied in the Yonglian irrigation area of Inner Mongolia, China, the SDR system increased total salt discharge by 38-54%, with 36-45% discharged by subsurface drainage pipes, providing a pilot example for regional subsurface drainage system design.
AGRICULTURAL WATER MANAGEMENT
(2022)
Article
Engineering, Multidisciplinary
Jing Hu, Qimin Zhang, Anke Meyer-Baese, Ming Ye
Summary: This study introduces a new model to address the increasing prevalence of Alzheimer's disease in today's society, using a stochastic reaction-diffusion approach to calculate the progression of AD and providing conditions for finite-time stability. Furthermore, an optimal control problem is formulated to minimize pathogenic proteins and control costs, with specific examples provided for demonstration.
APPLIED MATHEMATICAL MODELLING
(2022)
Article
Geosciences, Multidisciplinary
Jing Yang, Honghua Liu, Zhonghua Tang, Luk Peeters, Ming Ye
Summary: Graphical methods are commonly used in the analysis of aqueous geochemical data. WQChartPy is an open-source Python package that provides 12 different diagrams for visualizing and interpreting such data. It supports various data formats and allows the generated diagrams to be saved in different file formats.
Article
Engineering, Civil
Jing Yang, Ming Ye
Summary: This study introduces a new sensitivity analysis method called MMADS, which is capable of screening non-influential hydrologic processes and parameters. It addresses both process model uncertainty and model parameter uncertainty, and demonstrates good performance in two numerical experiments.
JOURNAL OF HYDROLOGY
(2022)
Article
Environmental Sciences
Guanfang Sun, Yan Zhu, Ming Ye, Yang Yang, Jinzhong Yang, Wei Mao, Jingwei Wu
Summary: This study conducted soil salinity measurements at 68 sampling sites at different depths and utilized geostatistical analysis and temporal stability analysis to understand soil salinity variability. It found strong spatial dependency of soil salinity, proposed an improved temporal stability analysis method, and achieved significantly improved predictions. The study recommends combining these analytical methods for better monitoring efficiency of regional soil salinity.
JOURNAL OF SOILS AND SEDIMENTS
(2022)
Article
Environmental Sciences
Jing Yang, Ming Ye, Xingyuan Chen, Heng Dai, Anthony P. Walker
Summary: This study develops a new total-effect process sensitivity index to identify influential processes under model uncertainty, considering uncertainty in process models and model parameters. The total-effect process sensitivity index includes both first-order sensitivity index for measuring the importance of individual processes and higher-order indices that account for process interactions.
WATER RESOURCES RESEARCH
(2022)
Article
Environmental Sciences
Tian Jiao, Ming Ye, Menggui Jin, Jing Yang
Summary: The Smoothed Particle Hydrodynamics (SPH) method is a Lagrangian approach widely used for solving numerical dispersion problems in groundwater solute transport. To improve accuracy in models with irregular particle distribution, an Interactively Corrected SPH (IC-SPH) method was developed. IC-SPH uses interactively corrected kernel gradients to construct concentration gradients, resulting in more accurate and faster converging solutions.
WATER RESOURCES RESEARCH
(2022)
Article
Mathematics, Applied
Wenjuan Guo, Qimin Zhang, Ming Ye
Summary: This paper develops an age-structured HIV model considering age of infected cells and intracellular delay, and a stochastic age-structured HIV model with Markovian switching to study finite-time contraction stability. Theoretical and numerical results illustrate the impact of noise intensity and delay on stability of the HIV models.
Article
Environmental Sciences
Tian Jiao, Ming Ye, Menggui Jin, Jing Yang
Summary: This study develops a Decoupled Finite Particle Method with Normalized Kernel (DFPM-NK) to improve the computational accuracy of solute transport simulations. Through comparing the computational performance of several methods, it is found that DFPM-NK is more efficient than FPM with similar accuracy. Therefore, it is recommended to use DFPM-NK for computationally expensive solute transport problems.
WATER RESOURCES RESEARCH
(2022)
Article
Mathematics, Applied
Yanyan Du, Ming Ye, Qimin Zhang
Summary: This paper develops a model describing a stochastic age-dependent population system with Levy noise in a polluted environment, and proposes a numerical algorithm based on a modified truncated Euler-Maruyama method to maintain positivity. The study focuses on global positivity analysis, finite element method, and convergence error estimates of the numerical schemes under suitable regularity conditions. A numerical example is provided to illustrate the theoretical results.
COMPUTERS & MATHEMATICS WITH APPLICATIONS
(2022)
Article
Environmental Sciences
Heng Dai, Fangqiang Zhang, Ming Ye, Alberto Guadagnini, Qi Liu, Bill Hu, Songhu Yuan
Summary: This article introduces a new quasi-Monte Carlo method that can consider both parameter and model uncertainty in handling multi-model process sensitivity indices. Compared to brute force Monte Carlo method and binning method, the quasi-Monte Carlo method performs better in terms of computational cost and theoretical aspects, and has a rigorous theoretical foundation.
WATER RESOURCES RESEARCH
(2022)
Article
Environmental Sciences
Ahmed Elshall, Ming Ye, Sven A. Kranz, Julie Harrington, Xiaojuan Yang, Yongshan Wan, Mathew Maltrud
Summary: This article discusses the advantages and considerations of optimal model weighting in addressing specific application problems. It uses a case study of red tide prediction to illustrate the findings. The study highlights the importance of prescreening-based subset selection in optimal model weighting.
Article
Engineering, Civil
Yan Zhu, Tianxing Zhao, Wei Mao, Ming Ye, Xudong Han, Biao Jia, Jinzhong Yang
Summary: A modified UBMOD flow model was developed to accurately estimate soil water content and water table depth in arid agricultural areas with shallow water table depth. The model incorporates the impact of capillary rise and calculates water table depth using the water table depth fluctuation analysis. The results demonstrated its effectiveness and low computational cost, making it a valuable tool for hydrodynamic studies in areas with shallow water table depths.
JOURNAL OF HYDROLOGY
(2023)
Article
Engineering, Civil
Mengqin Wang, Yan Zhu, Wei Mao, Ming Ye, Jinzhong Yang
Summary: Current research on soil salt movement during the freeze and thaw period has focused mainly on total salt concentration, neglecting the phase change of multi-component salts. This study investigated the potential transport capability of soil water and salt ions in the frozen layer using chemical characteristics and solute convection-diffusion theory. Field experiments were conducted to measure changes in total soil water, soil salt, and its ion components. The results showed different migration directions and quantities of various salt ions due to concentration gradients and diffusion coefficients, with Na+, Cl-, and SO42- exhibiting larger potential convection and dispersion quantities than Ca2+, Mg2+, and HCO3-. This study provides a new perspective on soil salt movement in frozen agricultural areas with shallow groundwater tables.
JOURNAL OF HYDROLOGY
(2023)
Article
Mathematics, Applied
Yanyan Du, Ming Ye, Qimin Zhang
Summary: In this paper, a stochastic population-toxicant model with cross-diffusion is developed and the local boundedness of strong solutions is studied. The existence of a global martingale solution in a Hilbert space is obtained using the Galerkin approximation method, the tightness criterion, and the energy estimation.
APPLIED MATHEMATICS LETTERS
(2023)